CN106779408A - The appraisal procedure and device of public transit system service quality - Google Patents
The appraisal procedure and device of public transit system service quality Download PDFInfo
- Publication number
- CN106779408A CN106779408A CN201611159087.2A CN201611159087A CN106779408A CN 106779408 A CN106779408 A CN 106779408A CN 201611159087 A CN201611159087 A CN 201611159087A CN 106779408 A CN106779408 A CN 106779408A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- evaluation index
- index
- data
- tiered
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
Abstract
The appraisal procedure and device of public transit system service quality provided in an embodiment of the present invention, are applied to data processing field.In the appraisal procedure, by obtaining the basic data that can in real time obtain and update in public transit system, acquired basic data is updated to the index evaluation model for pre-building, obtains the evaluation score of multiple evaluation indexes.By the evaluation score of evaluation index obtained by the calculating of index evaluation model and the assessment result of the service quality of public transit system described in the Weight Acquisition of corresponding evaluation index.The calculating of the assessment result of public transit system can be carried out by the data of the electronic system of Real-time Collection and the index evaluation for pre-building model, efficiency, the degree of accuracy, convenient degree and the popularity rate of public transit system service quality assessment is dramatically improve.
Description
Technical field
The present invention relates to data processing field, in particular to the appraisal procedure and device of public transit system service quality.
Background technology
Currently, urban traffic blocking, safety, pollution is the emphasis of whole world urban development, difficulties, it is necessary to we are high
Degree is paid close attention to and is solved.Alleviate urban traffic blocking, ensure the problems such as traffic trip safety, reduction traffic pollution are discharged, must
Bus trip mode must be first developed.2005, China promulgated《The departments such as the forwarding Ministry of Construction of the General Office of the State Council are on preferential
The notice of Development of Urban public transport opinion》, the strategy and policy for first developing public transport and being set to transport development.
Current city field of traffic middle orbit Public Transport Service index is asked typically by citizen's granting traffic trip
The traditional approach that track traffic Service Index mode is carried out is issued after volume, inductive statistics analysis and arrangement questionnaire.Aforesaid way is deposited
Providing that the survey cycle is long, questionnaire provide that scope is not enough with sampling ratio, the not very degree of accuracy, no of questionnaire answer problem
The problems such as dynamic is evaluated bus service in real time can be carried out.
The content of the invention
The present invention provides the appraisal procedure and device of public transit system service quality, it is intended to improve above mentioned problem.
A kind of appraisal procedure of public transit system service quality that the present invention is provided, methods described includes:Obtain public transit system
Basic data, it is corresponding that basic data according to the public transit system obtains multinomial service quality with default index evaluation model
Evaluation index evaluation score, wherein, the evaluation score of each evaluation index is used to characterize corresponding service quality
Service level.The evaluation score of each evaluation index in the multiple evaluation index and the Weight Acquisition of the evaluation index
The assessment result of the public transit system service quality.
A kind of apparatus for evaluating of public transit system service quality that the present invention is provided, the assessment of the public transit system service quality
Device includes:Basic data acquisition module, the basic data for obtaining public transit system.Evaluation score acquisition module, for root
The corresponding evaluation index of multinomial service quality is obtained according to the basic data of the public transit system and default index evaluation model
Evaluation score, wherein, the evaluation score of each evaluation index is used to characterize the service level of corresponding service quality.Assessment
As a result acquisition module, evaluation score and the evaluation index for each evaluation index in the multiple evaluation index
The assessment result of public transit system service quality described in Weight Acquisition.
The appraisal procedure and device of the public transit system service quality that the invention described above is provided, obtaining can be real-time in public transit system
The basic data for obtaining and updating, acquired basic data is updated to the index evaluation model for pre-building and obtains multinomial clothes
The evaluation score of the corresponding evaluation index of business quality.By the evaluation score and phase of the evaluation index obtained by the calculating of index evaluation model
The assessment result of the public transit system service quality required for answering the Weight Acquisition of index.Can be by the electronic system of Real-time Collection
Data and the index evaluation model that pre-builds carry out public transit system assessment result calculating, dramatically improve public affairs
Hand over efficiency, the degree of accuracy and convenient degree and the popularity rate of system service quality evaluation.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be attached to what is used needed for embodiment
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, thus be not construed as it is right
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is the assessment equipment and user terminal and data terminal of public transit system service quality provided in an embodiment of the present invention
Interaction figure;
Fig. 2 is the block diagram of the assessment equipment of public transit system service quality provided in an embodiment of the present invention;
The step of Fig. 3 is the appraisal procedure of the public transit system service quality that first embodiment of the invention is provided flow chart;
The sub-step of the step of Fig. 4 is the appraisal procedure of the public transit system service quality that first embodiment of the invention is provided S301
Rapid flow chart;
The step of Fig. 5 is the appraisal procedure of the public transit system service quality that second embodiment of the invention is provided flow chart;
The step of Fig. 6 is the appraisal procedure of the public transit system service quality that first embodiment of the invention is provided S302 and step
The sub-step flow chart of S303;
Fig. 7 is the module frame chart of the apparatus for evaluating of the public transit system service quality that third embodiment of the invention is provided.
Specific embodiment
Into new Urbanization Construction developing period, as the continuous quickening of urbanization process and urban motorization are gone on a journey
Fast development, urban road demand is increased rapidly, and traffic congestion, safety, pollution problem become increasingly conspicuous, and as social economy's hair
The bottleneck problem of exhibition.Realize structural reform from supply side, track traffic as urban public transport skeleton, be to ensure city
The trip core main artery that public transport production, life run well, is the important infrastructure for improving Comprehensive functions of the city, and it is to city
The influence of city's industry, economic, society, flourishing, the intercity contact and between town and country of cultural undertakings play important tie and facilitation.
By the service quality evaluation of City Rail Transit System, rail public transport Present Service Situation and social demand are can be clearly recognized that
Gap, to adjust the public transport system industrial structure, further improve new Urbanization Construction with development quality.
Urban track traffic Serve the production system has certain closure, in the actual production process substantially with city in
Other modes of transportation and service are relatively isolated.Therefore, come lecture for transport enterprise and consumer and form different sensations, city
The rail public transport Service Index technical problem to be solved mainly includes following four aspect:
1. from from the perspective of transport enterprise, department is more, produce ring with being related to for urban track traffic Serve the production system
Many, the technical feature such as strong of section, and the continuity and fluency of production link are required.
2. from from the perspective of consumer, passenger is in injection transportation service production system, the mistake of participation consumption
Cheng Zhong, directly affect its service impression has visible factor and invisible factor content;It can be seen that factor is illustrated in face of passenger
, including track surrounding environment, attendant, and other passengers;Invisible factor is due to sightless group of track traffic
Knit and system composition.
3. urban track traffic Serve the production system is also the place of all passengers " shared ", sense of the track passenger to servicing
It is occur in the case of field in other passengers.Therefore, the behavior expression of passenger itself can also influence its of track traffic
He experiences passenger services.
4. urban track traffic services the system that invisible factor is the invisible Transportation Organization process of passenger and correlation, this
A little organizational process and system reflect rule, specification, flow of Transportation Organization of track traffic service etc., although they are to passenger
For it is defeated sightless, but its running and the effect that performs have far-reaching influence to the service of passenger impression.
In a word, city rail bus service index be urban public tranlport system skeleton optimization with overall merit it is important according to
According to, it is comprehensive study to be carried out to existing public transportation system layout, its feature is analyzed, is evaluated its rationally distributed property, summarize its warp
Test, for the adjusting and optimizing of public transportation system from now on provides scientific and reasonable decision-making foundation.
For a long time, field of urban traffic middle orbit transport services index is asked typically by citizen's granting traffic trip
Issue what track Service Index mode was carried out after volume, inductive statistics analysis and arrangement questionnaire.There is the granting survey cycle
Long, labor intensive cost is big, questionnaire provides that scope is not enough with sampling ratio, questionnaire answer problem is not accurate enough, can not carry out
The problems such as dynamic is evaluated rail public transport service in real time.Into the generation information technology epoch, by traffic big data reality
Shi Fabu rail public transport Service Indexes become possibility, accumulate and put into practice by years of researches, at home and abroad take the lead in proposing " base
In traffic big data real-time release rail public transport Service Index method and system ", it is dynamic to rail in real time to go on a journey towards the public
Road transit quality of service is evaluated.
The method and system based on traffic big data real-time release rail public transport Service Index is built, its main purpose exists
In:
1. towards city, the assessment indicator system of more perfect, ageing strong city rail bus service level is built,
Important evidence as establishment Urban transit planning, the high-quality service window of blood vessels is transported as displaying city bus;
2. Government, forms the instrument that government department works out operations task and target for rail public transport enterprise, effectively
Realize important means of the government to public transportation supervision;
3. Industry-oriented, enterprise, carry out Public choice public transport travel behaviour tactics research, carry out traffic behavior discrete
The analysis such as selection is studied and judged, and particularly new Urbanization Construction and developing period, is improved and is related to industry, the horizontal index of enterprises service
The division of grade and determination, are to accelerate public transport city to build the sound development service with city rail public transit system, improve the public
Trip obtains effective supervision and satisfaction to rail body bus service demand;
4. towards the public, it is standard that public's citizens' activities exercise supervision and evaluate to city rail public transit system service,
Establish and improve the public transportation service quantification of public citizen's participation, real-time oversight and evaluate new model.
Urban public transport is economical, convenience type the various Passenger Traffic Modes for being supplied in city the public to use
General name, mainly goes slowly including track traffic, regular public traffic, taxi, bicycle.Urban public transport is specifically defined for specifying
Route on, according to fixed timetable, the system that short-distance passenger transportation service is provided with disclosed rate as Urban Public.
When city big traffic development mode is carried out, selection with track traffic as skeleton, based on regular public traffic,
It is auxiliary with taxi, take bicycle as the strategy and policy for first developing public transport for extending.The present invention provide for public affairs
The appraisal procedure and pattern of the service quality of friendship system, especially City Rail Transit System, it is intended to real-time dynamic publishing city
Rail public transport Service Index, can allow before Public Traveling, trip understands rail transit system running status at any time in way, for drawing
Lead the public significant using the preferential trip mode of public transit system, be also to alleviate traffic congestion, improve safety, reduce
The important means of traffic pollution.
City rail transit quality of service is quality (the se rce i ced serv i ce qua l i that passenger perceives
Ty), actually it is also a kind of evaluation that passenger is serviced rail public transport, mainly includes:Passenger is pre- before transportation service is consumed
Actual perceived service level in phase service level and process of consumption.Overdue service level of the passenger before transportation service is consumed is received
The influence of transport enterprise, service brand image and public praise, passenger's demands of individuals feature and past experience.Reality in process of consumption
Aware services level is impression of the passenger at aspects such as reliability of service, response, guarantee property, shifting one's love property and tangibilities.Multiply
The expected service level of visitor and the height and the difference of correlation of actual perceived service level, can cause passenger to service quality
Evaluation degree is different.
City rail transit quality of service content reflects requirement of the passenger to city rail public transport good service, main bag
Include:Before by bus, information consultation channel is unimpeded, booking is convenient, enter the station conveniently, wait it is comfortable;In riding process, main finger ring
Border is comfortable;After arriving at a station, linking mainly including different modes of transportation, it is oriented to and guides mark clearly etc..Usual service quality includes
Technical quality and service quality.
Technical quality is what passenger actually obtained by consumption service, be the quality of service result, i.e. service in itself
Quality standard, environmental condition, service item, service time, service equipment etc. whether adapt to and meet passenger the need for.City
Rail public transport is serviced, and has first had to comfortable waiting environment.Secondly, the technical equipment to be necessary, such as:Automatic ticketing ticket checking system
System, bus station name display system, transfer gateway guidance system etc. of plugging into.Again, passenger is met to service quality " safety "
Highest demand.
Service quality, be passenger how the consumption service in transportation, make the quality of service process.Service process with multiply
Objective process of consumption occurs simultaneously, emphasizes what passenger paid for consumption, each side such as including time, muscle power, spirit, psychology
Consumer cost.Attitude, service behavior, service skill of staff etc. influence larger to service quality.City rail is public
The unification that Service Quality Index is both the technology and function of service is handed over, is also the unification of the process and result of service.
Based on the analysis of above-mentioned bus service, the technical quality of rail public transport service be mainly reflected in safety, it is quick, reliable,
Economic four aspects.Safety, be passenger in the rail public transport service process of consume-city, the mind & body of itself is not hindered
Evil.Quickly, it is that rail public transport train keeps the speed of service higher, is that passenger saves the travel time, while also including convenient height
The service process of effect.It is reliable, it is the ability accurately provided with promise according to plan in respective services, such as passenger gets on and off in time,
Accurately into and out of station.Economy, is, with economic price, passenger is obtained quality services.
The present invention provide the service quality for public transit system, especially City Rail Transit System appraisal procedure and
Pattern, it is intended to by acquired public transport big data, be estimated calculating, with real-time dynamic publishing city rail bus service
Index.Frame of reference, acquisition evaluation information, the formation value judgement for determining the purpose of index assessment and evaluating, are index assessments
The general process of problem.The idiographic flow of rail public transport Service Index evaluation mainly includes:Establish index assessment object and evaluate
Structural model, determine index assessment target with evaluate purpose, on-line checking related information with analyzing and processing, determine evaluation index body
System grinds with index weights, design index number evaluation method and quantification of targets, individual event index evaluation, composite index evaluation and assessment result
Sentence.The appraisal procedure and device of public transit system service quality provided by the present invention will be specifically described below.
As shown in figure 1, being that the assessment equipment of public transit system service quality provided in an embodiment of the present invention (is hereinafter referred to as assessed
Equipment) schematic diagram that interacts with user terminal and data terminal.The assessment equipment 100 by network and one or more
User terminal and data terminal are communicatively coupled, to enter row data communication or interaction.The assessment equipment 100 can be network
Server, database server etc., the assessment equipment 100 can also be combined with the integrated form of the webserver and database
Server system.The assessment equipment 100 that the appraisal procedure and device of the public transit system service quality that the present embodiment is provided are applied
Formula server system, including access interface and DBM are preferably integrated, the DBM is responsible for system information
Classification storage and treatment, the access interface are used to realize calling between user and database.
The user terminal is used for user's (the usually assessment of parameter public transit system and public transit system assessment knot that will be received
The user that fruit receives) input Query Information and evaluating etc. send to assessment equipment so that the assessment equipment enters line number
According to the operation for obtaining and result is fed back.The user terminal can be PC (personal computer, PC), flat board
Computer, smart mobile phone, personal digital assistant (personal digital assistant, PDA) etc..
The data terminal is used to send the public transport big data that public transit system is gathered to the assessment equipment, described
Data terminal is generally positioned at the operation scene of public transit system, and the image collecting device, data with public transit system operation scene are adopted
Acquisition means and electronics managing and control system etc. are connected, and realize real-time acquisition and renewal of the public transport big data of public transit system etc..Example
Such as, the data terminal can be to be connected with the video acquisition device of bus stop, mass transit hub website etc., obtain corresponding public
The video information of friendship system, and then carry out the filtering of demand information and extract operation.The data terminal can also include public
Integrated machine equipment of occasion etc., the assessment result of the public transit system for the assessment equipment to be fed back be shown to user check and
Inquiry etc..
As shown in Fig. 2 being the block diagram of the assessment equipment 100.The assessment equipment 100 takes including public transit system
Apparatus for evaluating (hereinafter referred to as apparatus for evaluating), display unit 101, memory 102, the storage control 103, processor of quality of being engaged in
104th, Peripheral Interface 105, input-output unit 106.
It is the memory 102, storage control 103, processor 104, Peripheral Interface 105, input-output unit 106, aobvious
Show unit 101, each element is directly or indirectly electrically connected with each other, to realize the transmission or interaction of data.For example, these
Element can be realized being electrically connected with by one or more communication bus or holding wire each other.The apparatus for evaluating is included at least
During one can be stored in the memory in the form of software or firmware (firmware) or it is solidificated in the assessment equipment 100
Software function module in operating system (operating system, OS).
The processor 104 is used to perform the executable module stored in memory 102, such as described apparatus for evaluating includes
Software function module or computer program.Wherein, memory 102 may be, but not limited to, random access memory
(Random Access Memory, RAM), read-only storage (Read Only Memory, ROM), programmable read only memory
(Programmable Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable
Read-Only Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable
Read-Only Memory, EEPROM) etc..Wherein, memory 102 is used for storage program, and the processor 104 is held receiving
After row instruction, described program is performed, performed by the assessment equipment 100 of the process definition that foregoing any embodiment of the present invention is disclosed
Method can apply in processor 104, or be realized by processor 104.
Processor 104 is probably a kind of IC chip, the disposal ability with signal.Above-mentioned processor can be
General processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit (Network
Processor, abbreviation NP) etc.;Can also be digital signal processor (DSP), application specific integrated circuit (ASIC), ready-made programmable
Gate array (FPGA) or other PLDs, discrete gate or transistor logic, discrete hardware components.Can be with
Disclosed each method, step and logic diagram in realization or the execution embodiment of the present invention.General processor 104 can be micro-
Processor or the processor can also be any conventional processors etc..
Various input/output devices are coupled to processor 104 and memory 102 by the Peripheral Interface 105.At some
In embodiment, Peripheral Interface, processor and storage control can be realized in one single chip.In some other example,
They can be realized by independent chip respectively.
Input-output unit 106 is used to be supplied to user input data to realize interacting for user and data collection station.Institute
State input-output unit may be, but not limited to, mouse and keyboard etc..
Display unit 101 provides an interactive interface between the server and user, such as user interface, or
Referred to user for display image data.In the present embodiment, the display unit can be that liquid crystal display or touch-control are aobvious
Show device.If touch control display, it can be the capacitance type touch control screen or resistance type touch control screen for supporting single-point and multi-point touch operation
Deng.Support that single-point and multi-point touch operation refer to that touch control display can be sensed from one or more positions on the touch control display
The touch control operation that place produces simultaneously is put, and transfers to processor to be calculated and processed the touch control operation for sensing.
Refer to Fig. 3, be first embodiment of the invention provide appraisal procedure the step of flow chart, the appraisal procedure should
For above-mentioned assessment equipment.The step shown in Fig. 3 will be specifically described below.
Step S301, obtains the basic data of public transit system.
The evaluation process of public transit system needs first to obtain basic data, to carry out follow-up calculating.The public transit system
Basic data, is that gathered public transport big data acquired after filtration treatment commented for index evaluation model
Estimate the data of the based sources of result calculating.
In one embodiment, if the public transport big data refers to rail public transport IC-card data, its attribute
Content can be included:Card number, trade date, exchange hour, circuit/subway station title, film name (public transport, subway, go out
Rent, ferry, P+R parking lots), dealing money, trade property (non-preferential, preferential, without privileges).If the big number of public transport
According to referring to rail public transport vehicle real time data, then its property content can be included:Equipment number, line coding, station code, association
View numbering, state out of the station, direction, it is vehicle-mounted on call time, encode corresponding table.If the public transport big data refers to track
Public transit vehicle real time data, then its property content can include:Equipment number, line coding, station code, protocol number is entered
Outbound state, direction, it is vehicle-mounted on call time, encode corresponding table.If the public transport big data refers to rail public transport gauze
Data, then its property content can include:Rail public transport circuit network structure and traffic geography information data GIS-T, first and last class
Car time (public bus network of the whole city 946, up first and last regular bus timetable, descending first and last regular bus, timetable) etc..If the public affairs
Traffic big data refers to taxi travelling data altogether, then its property content can be included:Vehicle ID, gps time, longitude and latitude, speed
Degree, satellite number, the overhead state of operational regime, on-position.If the public transport big data refers to track traffic operation
Data, then its property content can include:Circuit, station, transfer stop data, first and last regular bus respectively stand schedule data, stand between transport
Row time data, current limliting station, envelope station data, road network admission fee matrix, train arrive send out the platform moment in real time, circuit is crowded and blocks
Data, in/out mouth, lavatory, disabled elevator data.The public transport of city rail periphery is (all track traffic websites in Shenzhen, neighbouring
Bus stop, position, the title of each website).If the public transport big data refers to traffic weather data, in its attribute
Appearance can be included:Traffic weather data, its attribute is included:Date, the time, monitoring point, weather pattern, temperature, wind speed, wind direction,
Precipitation.Gather the data type and category of above-mentioned public transport big data real-time release rail public transport Service Index actual acquisition
Property, the correlated characteristic extraction of key data is set up, other data can carry out aiding in teaching and research and assessment.
Step S302, basic data and default index evaluation model according to the public transit system obtain multiple assessments and refer to
Target evaluation score.
Pre-set in the apparatus for evaluating of the assessment equipment and commented for assessing the index of public transit system Service Quality Index
Estimate model.The index evaluation model is mainly used in, and the basic data that will be gathered is corresponded under corresponding evaluation index, according to
The numerical value and evaluation criteria of basic data obtain the evaluation score of each evaluation index.
Step S303, evaluation score and the evaluation index of each evaluation index in the multiple evaluation index
The assessment result of public transit system described in Weight Acquisition.
In the index evaluation model of the service quality assessment for the public transit system, different evaluation indexes are to clothes
The influence of quality of being engaged in is different, then the weight of different evaluation indexes is also differed, and each evaluation index corresponds to respective weight.
After obtaining the evaluation score of each evaluation index in the index evaluation model according to above-mentioned steps, according to each
The assessment result of the public transit system required for the evaluation score of evaluation index and the weight calculation of the evaluation index.
In one embodiment, the evaluation index of the public transit system includes:Comfortableness, convenience, economy, safety
Property and reliability, the evaluation score of above-mentioned five evaluation indexes are followed successively by A1, A2, A3, A4 and A5, and correspondingly, five assessments refer to
Target weight is followed successively by:B1, B2, B3, B4 and B5.The then calculating of the assessment result S can sketch and be:S=A1*B1+A2*B2
+A3*B3+A4*B4+A5*B5。
The apparatus for evaluating is obtained after the assessment result of public transit system according to above-mentioned steps, can be used for different cities ground
Area, the data result comparation and assessment of different periods.Assessment report can also be generated according to the related assessment result for being obtained, will be described
Assessment report sends the user terminal to where demander, to facilitate passenger to be inquired about, refering to and selection, be also convenient for government
Supervision and control of the supervision department to public transport situation, and management state of enterprise etc. is carried to related public transport
Supervision etc..
In appraisal procedure provided in an embodiment of the present invention, mainly include rail public transport gauze accessibility, service quality, trip
Time, by bus safety evaluation index.Wherein, public transport network accessibility is core.With all-purpose card passenger brushing card data and video figure
As Data Fusions such as data, to every rail public transport line passengers, vehicle, station, circuit, group of standing, six grades of features of gauze
Extract, real-time dynamic publishing city rail public transport network, single track public bus network, each rail public transport website, rail public transport
Due in, rail public transport circuit speed, passenger inside the vehicle's quantity, station are waited passenger flow information, evaluate city rail public transit system
Reliability and Time critical services.
For rail transit system general route network, city rail public transport single-wire line, each website of city rail public transport
The classifications such as passenger flow, the red, yellow, and green by rail public transport circuit network, rail public transport vehicle, each website passenger flow of rail public transport is different
Colored forms change, there is provided the rail such as real-time dynamic rail public transport passenger flow situation, the track circuit degree of crowding, E.T.A
Road bus station, single line, general route rail public transport operation conditions, improve overall transport capacity and the service of rail public transport
Quality.
The appraisal procedure that the embodiments of the present invention are provided, obtains the basic number that can in real time obtain and update in public transit system
According to acquired basic data to be updated to the evaluation score that the index evaluation model that pre-builds obtains multiple evaluation indexes.
By the evaluation score of evaluation index obtained by the calculating of index evaluation model and the public transport system required for the Weight Acquisition of corresponding index
The assessment result of system.Public transport can be carried out by the data of the electronic system of Real-time Collection and the index evaluation for pre-building model
The calculating of the assessment result of system, dramatically improves the efficiency of public transit system service quality assessment, the degree of accuracy and convenient
Degree and popularity rate.
Fig. 4 is referred to, the step of the appraisal procedure of the public transit system service quality provided for first embodiment of the invention
The sub-step flow chart of S301, mainly the public transport big data by gathering carry out cleaning screening, feature extraction etc. and process,
Acquisition can be as the process of the basic data of public transit system service quality assessment.To have to the content shown in Fig. 4 below
Body is described.
Step S401, gathers current public transport big data.
Public transport traffic big data includes:Rail public transport IC-card data, rail public transport vehicle real time data, rail public transport gauze
The real time data of the public transportation systems such as data, taxi travelling data.Public transport big data source is numerous, and data type is not
Together, its described evaluation index is also different, therefore can select to be clustered public transport big data, for different classes of public affairs
Traffic big data takes the corresponding mode to carry out data acquisition altogether.
After the public transport big data is clustered, can mainly classify as:Line data, facility supply data by bus
With travel condition of vehicle data.The mode for gathering public transport big data has various, for above-mentioned major type of data, can be with
It is acquired by corresponding data acquisition modes.
In one embodiment, can be obtained by image procossing mode include in gathered live video by bus
Line data.For example, the live video of the image acquisition device by bus station, mass transit hub website etc., carries out figure
As treatment, the character features point included in acquired video is extracted, according to the distribution and movement of the character features point for being extracted
Calculate the line data by bus in the public transport place.The line data by bus can include:Into and out of platform order (passage, building
Ladder, staircase), platform wait order, the order that gets on and off, compartment order, into and out of station time, the time of getting on and off, peak period car
Railway carriage or compartment crowding etc..
In another embodiment, facility can be obtained by electronic mark induction mode and supplies data.For example, passing through
Electronic mark induction system collection security service facility sign and operation instruction is eye-catching, emergency evacuation logo definition and accurate
Degree, subway safety inspection facility (quantity, speed), automatic machine (layout, quantity, speed), automatic ticket checker (layout, quantity, spirit
Sensitivity), changed between escalator (quantity, working order), rail public transport circuit and changed between convenient degree, track traffic and other public transport
The data such as multiply.
In other embodiments, travel condition of vehicle number can also be obtained by running managing and control system data extracting mode
According to.The operation managing and control system can include:Lead and multiply system, reporting station system, control loop etc., the running state data can be with
Including:Lead multiply the identification information degree of accuracy, call out the stops the degree of accuracy and in time degree, train operation punctuality rate, train running speed, train send out
Workshop every rationality first, last car time, train operation steady (start, braking, accelerate), etc..
In other embodiments, ticketing data can also be obtained by ticketing system, such as admission fee reasonability, ticket kind is more
Sample etc..
Step S402, feature extraction is carried out to the public transport big data.
After collecting current public transport big data according to above-mentioned steps, to the acquired public transport big data
Feature extraction is carried out, the public transport big data for obtaining is processed according to system requirements and Processing Algorithm mainly.
In data processing, it is applied primarily to:Transport information FCD gathering algorithms, the analysis of FCD data fusions and place
Reason, the FCD data acquisition and fusions based on MVC, the Object-Oriented Design of flow of event, the object-oriented collaboration diagram of Derived Demand set
Meter.
Involved core algorithm includes initial data FCD abnormity removing algorithms, speed meter in transport information FCD collections
Calculate, merge and prediction algorithm, seven key algorithms such as statistic algorithm of standard and historical data (flow and speed).These algorithms
The conversion using data from outfield initial data to " Metropolitan Integrative Traffic information platform " is realized, is to ensure that " information platform " is
To the key of whole system basic data reliability.In FCD collection information, according to the data message that outfield gathers, calculate and work as
Preceding non-intersection speed and synthetical collection information prediction 5 minutes, 10 minutes, 30 minutes speeds.Speed fusion forecasting process is divided into three
Process:FCD speeds computation model is based on according to FCD data calculate link travel speed;According to flow, spot spe J and travel vehicle
Speed calculates current vehicle speed based on data fusion model;Speed is predicted based on speed prediction model according to current vehicle speed.
The main task of FCD data fusions is that, to current traffic data, FCD calculates speed and spot spe J and carries out data level
Fusion.Here data fusion is broadly divided into two aspects:On the one hand it is the fusion of real time data and historical data, using linear
Conversion, fuzzy algorithmic approach demarcates different weights and degrees of membership, draws more accurate numerical value;On the other hand it is floating car data
With the fusion of fixed point detector data, according to two kinds of features of different aforementioned sources, processed by isomeric data Homogeneous, it is right
Same parameters are merged, and draw confidence level result higher.The close fast relational model of stream in traffic flow theory, it is close by flowing
Fast relational model carries out Homogeneous treatment to data.Real-time dynamic publishing rail public transport Service Index and system, using automatic or
The connection that artificial triggering mode is set up between taxi, bus company and system, taxi, bus company being capable of whole day companies
It is continuous that FCD data are provided.The FCD data acquisitions of Shenzhen Urban Transportation emulation, are exactly the big rule of Metropolitan Integrative Traffic information centre
The operation enterprise such as mould GPS taxis and Shenzhen Bus Group, plans to be provided more than 15000 taxis inside and outside special zone
FCD dynamic traffic real-time data collections, acquisition interval is not less than 30 seconds, and car total amount is no less than 15000.
Step S403, by through data based on the data after feature extraction.
The collection of public transport big data is completed according to above-mentioned steps, and to the spy of acquired public transport big data
Levy after extracting, data based on the data that will finally obtain.Acquired basic data is applied to public transit system service
During quality evaluation, dramatically improve basic data and obtain efficiency and accuracy rate.
Fig. 5 is referred to, is flowed the step of the appraisal procedure of the public transit system service quality provided for second embodiment of the invention
Cheng Tu.On the basis of above-described embodiment, what the embodiment of the present invention also set up assessment models sets up process.Below will be to the present invention
The process of setting up of the assessment models that embodiment is set up carries out specific explanations.
Step S501, using the data type of the total data of the basic data as three-tiered evaluation index.
Step S502, the classification according to the whole three-tiered evaluation indexs and default secondary evaluation index is to described in whole
Three-tiered evaluation index is classified, so that each one secondary evaluation index of classification of the three-tiered evaluation index correspondence.
Step S503, obtains the secondary evaluation index and the three-tiered evaluation index corresponding to each described three-tiered evaluation index
The first weight.
The foundation of the assessment models of public transit system service quality, it is thus necessary to determine that evaluation index system.Public transit system Service Quality
The evaluation index system of amount is a multi objective structure, and evaluation index is set with hierarchical structure, can from outward appearance to inner essence, deeply
The evaluation index system intension that clearly statement passenger is satisfied with.The evaluation index of each level is by a upper hierarchy
What index was launched, and the evaluation index of a upper level is then reflected by the assessment result of the evaluation index of next level
Come.Set up passenger services quality evaluation index system and must comply with principle that the principle of systenatization, passenger are God, complicated and simple proper
Principle, operability principle, the ageing relevance principle of public transport big data etc..
According to the selection principle and setting function of above-mentioned evaluation index, under traffic overall situation data, using SERVQUAL
(Service Quality, service quality) algorithm, walking pass through method, CIT-Critical Incident Technique evaluation and test method, obtain rail public transport service
The evaluation index system of quality.Wherein, the SERVQUAL algorithms, are service quality evaluation systems, and its theoretical core is " service
Quality gap model ", service quality is depended between the service level that is perceived of user and the desired service level of user
Difference degree.Hair is passed through in walking, is a kind of diagnostic tool, is mainly used in diagnosis association:Individual-to-individual service;Service is prolonged
Late;Environmental variance;Bill is provided;The problem of promotion and the sale of hint property etc..CIT-Critical Incident Technique evaluation and test hair, is to recognize respectively
A kind of job analysis technical method of the key factor of job performance under kind working environment.
In evaluation index system, perceived quality is defined as one-level evaluation index, is used to represent the total of public transit system
Service quality.Security, reliability, economy, convenience, comfortableness are defined as secondary evaluation index, user is characterized to institute
State the quality evaluation of the main perceived direction of public transit system.Launched to form evaluation index system according to secondary evaluation index, set up
Multinomial three-tiered evaluation index.In the assessment indicator system of rail transit system service quality, only three-tiered evaluation index be can
With direct correlation public transport big data direct detection, it is converted into passenger to connotation.The three-level is commented
Estimating index includes the first actual measurement index and the first theory index, and the first actual measurement index is can be by data acquisition or figure
As the data that the mode of collection etc. is directly measured from the electronic system of public transit system.First theory index is can be actual
Data measured and theoretical calculation formula calculate the evaluation index for obtaining.
In one embodiment, the secondary evaluation index includes:Security, reliability, economy, convenience and relax
At least one in adaptive.
The first actual measurement index mainly corresponds to 10 parts:Train department multiplies service;Station train safety guarantee, rail public transport
Consumption when information service, train appearance of vehicle vehicle condition, station are ridden, station waiting time, the station train degree of crowding, station transfer clothes
Business, station train facility are ensured, the satisfaction test and appraisal of passenger station train.
Above-mentioned 10 partial content is categorized as 32 more specific first actual measurement indexs, including:Turnover platform order, platform
Order, order of getting on or off the bus, compartment order, the security service facility mark of waiting and operation instruction is eye-catching, emergency evacuation mark is clear
Degree and the degree of accuracy, subway safety inspection facility, automatic machine, automatic ticket checker, escalator, lead multiply the identification information degree of accuracy, report
Stand the degree of accuracy and timely degree, train operation punctuality rate, admission fee rationality, admission fee diversity, the time out of the station, the booking time, on
Time getting off, train running speed, the train departure interval rationality first and last bus time, change between rail public transport circuit convenient degree,
Convenient degree, peak period compartment crowding, train operation smoothness, the clean and tidy journey of passage are changed between track traffic and other public transport
Degree, vehicle environment tidiness, car noise decibel of standing, aerial temperature and humidity suitable degree, air circulation, staff want to passenger
At least one in the responsiveness and convenience-for-people facility popularity rate asked.The first above-mentioned actual measurement index can be from corresponding electronic system
Middle direct access or extraction.
The concrete structure of the evaluation index system of the public transit system refers to table (1).
Table (1)
In other embodiments, first theory index of the three-tiered evaluation index includes:Punctuality rate, train fortune
Row figure encashment ratio, train crowding, ticket machine reliability, deposit card top-up machines reliability, deposit card top-up machines reliability, turnover
Stand gate reliability, escalator reliability, vertical lift reliability, station passenger information system reliability, train passenger letter
Breath system dependability, train passenger information reliability, train Service Reliability, effective passenger complained and effectively passenger complain it is extensive
At least one in multiple rate.The first above-mentioned theory index needs to enter the public transport big data of the reset condition of direct access
Row theoretical value is calculated.The specific calculating process of above-mentioned first theory index will be explained below.
1. punctuality rate, refers to that train number of times starts the ratio between train number of times with whole on schedule, is perceived by related system and monitored, and is used
To represent the degree that operation train runs in required time on schedule.Computing formula is as follows:
Run according to the service chart figure fixed time, early, evening is no more than a train that is defined for stipulated time boundary, when boundary on schedule
Limit refers to emphasis train of the arrival time error less than or equal to 2min on schedule (except administrative region of a city fast railway public transit system);Administrative region of a city is fast
Fast rail transit system the definition for the period on schedule refers to train of the terminal arrival time error less than or equal to 3min.
2. route map of train encashment ratio, refers to actually to start train number to start the ratio between train number surely with service chart figure, is actually started
Do not include the train number increased temporarily in train number.Its computational methods is as follows:
3. train crowding, refers to the rail public transport circuit peak hour average section passenger traffic volume and circuit physical transport capacity
The ratio between, train is calculated by staffing, is used to represent the degree of crowding of train.Computational methods are as follows:
In above formula, the circuit physical transport capacity=train seating capacity × circuit peak hour amount of dispatching a car.
4. ticket machine reliability, refers to the ticket machine active service time to answer the ratio between service time with ticket machine.Active service
Time includes normally adding ticket and adds the coin time, and computational methods are as follows:
5. stored value card top-up machines reliability refers to the stored value card top-up machines active service time with should the ratio between service time, it is real
Border service time includes normally adding ticket and plus coin time.Its computational methods is as follows:
6. into and out of station gate reliability, refer into and out of the station gate active service time with should the ratio between service time, it is described
Computational methods into and out of station gate reliability are as follows:
7. escalator reliability refers to the escalator active service time with should the ratio between service time.Computational methods are such as
Under:
8. vertical lift reliability refers to the vertical lift active service time with should the ratio between service time, computational methods are such as
Under:
9. station passenger information system reliability refers to the station passenger information system active service time and answer service time
The ratio between.The computational methods of the station passenger information system reliability are as follows:
10. train passenger information system reliability, refer to the train passenger information system active service time with that should service when
The ratio between.The computational methods of the train passenger information system reliability are as follows:
11. train Service Reliabilities, refer to that the train between 5min to 15min delays, its average traveling occur in 1 year
Truck kilometer number, numerical value is bigger, shows that reliability is higher.
12. effective passenger's the rate of complaints, refer to the ratio between effective passenger's the rate of complaints number of times and city passenger traffic volume, and computational methods are as follows:
13. effective passenger's complaint response rates, refer to that the effective passenger having responded to complains number of times with effective passenger complaint time
The ratio between number.The computational methods of effective passenger's complaint response rate are as follows:
In above formula, effective passenger complains and should be replied in 7 working days from complaint is connected to, and is pressed more than 7 working days
Treatment is not replied.
Step S404, obtains the second weight of each secondary evaluation index.
Step S405, according to each described three-tiered evaluation index and its first weight, each described secondary evaluation index and
The corresponding relation of its second weight and the three-tiered evaluation index and the secondary evaluation index sets up the index evaluation mould
Type.
The corresponding three-tiered evaluation index of each data in the basic data is obtained according to above-mentioned steps, according in public transport
During the service quality assessment of system, the difference of the disturbance degree of each the three-tiered evaluation index under each described secondary evaluation index,
Determine shared weight in each the secondary evaluation index of the three-tiered evaluation index corresponding to it, be set to the first weight.
The difference of the disturbance degree according to each the secondary evaluation index under one-level evaluation index, determines that each described secondary evaluation index exists
Shared weight in one-level evaluation index, is set to the second weight.
Obtain each the secondary evaluation index and its second weight under one-level evaluation index, and each described secondary evaluation
One-level evaluation index classification under index, and each described one-level evaluation index in its corresponding secondary evaluation index
One weight, sets up the index evaluation model.
According to the index evaluation model set up, after the basic data for obtaining public transit system, can directly will acquired in
Basic data in each Data Matching to corresponding three-tiered evaluation index, and according to corresponding to the three-tiered evaluation index two
Level evaluation index and its corresponding evaluation score of the first weight calculation secondary evaluation index, then the evaluation score acquired in
With the calculating of the second Weight Acquisition final assessment result of secondary evaluation index, public transit system Service Quality is dramatically improve
Efficiency, the accuracy rate and ageing of assessment are measured, user experience is improve.
Fig. 6 is referred to, the sub-step of S301 and step S302 the step of the appraisal procedure provided for first embodiment of the invention
Rapid flow chart.On the basis of the index model that above-described embodiment is set up, the acquisition operation of result is estimated.Below will be to figure
Step shown in 6 carries out specific explanations.
Step S601, the corresponding target three-tiered evaluation of data type for obtaining each data of gathered basic data refers to
Mark.
After obtaining the basic big data of the reset condition that public transit system is provided, acquired public transport big data is carried out
The basic data calculated as assessment after screening.According to the data type of the current basic data for obtaining, data correspondence is searched
Target three-tiered evaluation index.
For example, after the video data in public transport compartment is obtained, because the video data in the public transport compartment can obtain this
Line data in the compartment of public transport.Therefore the target three-tiered evaluation index corresponding to the data is compartment order.
Step S602, the numerical value target three-level corresponding with the data type of the data according to each data is commented
Estimate first the first evaluation score of Weight Acquisition of index.
According to the numerical value and the target three-tiered evaluation corresponding to it of each data in the basic data that above-mentioned steps are obtained
After index, after the first weight of the numerical value of acquired data target three-tiered evaluation index corresponding with the data, calculating should
The evaluation score that data are drawn, as first evaluation score of the target three-tiered evaluation index.
Step S603, the first evaluation score and the target three-tiered evaluation according to each target three-tiered evaluation index refer to
Mark second the second evaluation score of Weight Acquisition of corresponding target secondary evaluation index.
First that the corresponding target three-tiered evaluation index of each data of the basic data is obtained according to above-mentioned steps is commented
After valency fraction, each described secondary evaluation index is calculated.First, according to the right of the three-tiered evaluation index and secondary evaluation index
Should be related to, obtain each corresponding target secondary evaluation index of target three-tiered evaluation index, and obtain the target secondary evaluation and refer to
First evaluation score of all three-tiered evaluation indexs under mark.According to secondary evaluation index each described the second weight and this two
First evaluation score of each three-tiered evaluation index under level evaluation index calculates the second evaluation of the Secondary objective assessment index
Fraction.
Step S604, the second evaluation score according to all secondary evaluation indexs obtains the assessment of the public transit system
As a result.
The first evaluation score of the three-tiered evaluation index is calculated according to above-mentioned steps and the second of secondary evaluation index is commented
After valency fraction, the evaluation score of first order calculation evaluation index, public affairs described in described and evaluation index evaluation score direct correlation
The assessment result of the service quality of friendship system.
The appraisal procedure that the embodiments of the present invention are provided, when the service quality for public transit system is estimated, with
The basic data that the public transport big data that can be obtained directly, in real time, automatically is calculated as a result, basic data is updated to
In the index evaluation model for pre-setting, the matching of each level assessment index and the calculating of evaluation score are automatically performed, more
The assessment of the service quality of public transit system is fast and accurately realized,
Fig. 7 is referred to, is the functional block diagram of the apparatus for evaluating 700 that third embodiment of the invention is provided.The assessment dress
Putting 700 includes:Basic data acquisition module 701, evaluation score acquisition module 702 and assessment result acquisition module 703.
Basic data acquisition module 701, the basic data for obtaining public transit system.
Evaluation score acquisition module 702, for the basic data according to the public transit system and default index evaluation mould
Type obtains the evaluation score of multiple evaluation indexes.
Assessment result acquisition module 703, for the evaluation point of each evaluation index in the multiple evaluation index
The assessment result of public transit system described in the Weight Acquisition of number and the evaluation index.
On the basis of above-described embodiment, the apparatus for evaluating 700 also includes index evaluation model building module 704, institute
Stating index evaluation model building module 704 is used for:
Using the data type of the total data of the basic data as three-tiered evaluation index;
Classification according to all the three-tiered evaluation index and default secondary evaluation index is to all three-tiered evaluations
Index is classified, so that each one secondary evaluation index of classification of the three-tiered evaluation index correspondence;
Obtain the first power of the secondary evaluation index and the three-tiered evaluation index corresponding to each described three-tiered evaluation index
Weight;
Obtain the second weight of each secondary evaluation index;
According to each described three-tiered evaluation index and its first weight, each described secondary evaluation index and its second power
The corresponding relation and the one-level evaluation index of weight, the three-tiered evaluation index and the secondary evaluation index set up the finger
Mark assessment models.
On the basis of above-described embodiment, the evaluation score acquisition module 702 specifically for:
Obtain the corresponding target three-tiered evaluation index of data type of each data of gathered basic data;
The numerical value target three-tiered evaluation index corresponding with the data type of the data according to each data
First the first evaluation score of Weight Acquisition.
On the basis of above-described embodiment, the assessment result acquisition module 703 specifically for:
The first evaluation score according to each target three-tiered evaluation index is corresponding with the target three-tiered evaluation index
Second the second evaluation score of Weight Acquisition of target secondary evaluation index;
The second evaluation score according to all secondary evaluation indexs obtains the assessment result of the public transit system.
The apparatus for evaluating that the embodiments of the present invention are provided, by obtaining the base that can in real time obtain and update in public transit system
Plinth data, acquired basic data is updated to the evaluation point that the index evaluation model for pre-building obtains multiple evaluation indexes
Number.By the evaluation score of evaluation index obtained by the calculating of index evaluation model and the public transport required for the Weight Acquisition of corresponding index
The assessment result of system.Public affairs can be carried out by the data of the electronic system of Real-time Collection and the index evaluation for pre-building model
The calculating of the assessment result of friendship system, dramatically improves the efficiency of public transit system service quality assessment, the degree of accuracy and just
Prompt degree and popularity rate.The specific implementation process of apparatus for evaluating provided in an embodiment of the present invention refers to above method embodiment,
This is no longer repeated one by one.
The assessment models and the development process of its physical system for being delivered that the embodiments of the present invention are provided mainly include:
Data acquisition, clean, excavate, collect rule with algorithm, realize function and technical indicator master-plan, real-time release rail public transport
The processes such as Service Index exploitation, the test and appraisal application of city rail bus service index.
In data acquisition, the development process cleaned, excavate, collect rule and algorithm, 7 tasks are mainly completed.First,
Set up data processing rule.Data analysis includes:Set up data collecting rule, data cleansing rule, data mining rule sum
According to collecting rule.Second, flow and model algorithm are excavated in the data analysis for setting up road network support.Data analysis design bag
Include:Based on FCD, flow and model algorithm are excavated in the bus trip data analysis for setting up road network support.Third, setting up track
Flow and model algorithm are excavated in the data analysis of bus IC card.Data analysis design includes:Set up the trip of rail public transport IC-card
Flow and model algorithm are excavated in data analysis.Fourth, flow and model algorithm are excavated in the data analysis for setting up regular public traffic trip.
Data analysis design includes:Flow and model algorithm are excavated in the data analysis for setting up regular public traffic trip.Fifth, setting up taxi
Flow and model algorithm are excavated in the data analysis of trip.Data analysis design includes:The data analysis for setting up trip of taxi is dug
Pick flow and model algorithm.Sixth, setting up the database search engines such as track, bus, taxi, IC-card.Data analysis is designed:Build
The database search engines such as vertical track, bus, taxi, IC-card and database development design.Seventh, setting up the analysis of database cluster
With excavation environmental interface, data analysis design:Set up the analysis of database cluster and excavate environmental interface.
When function is realized with technical indicator master-plan, the design of main completion dimension, Functional Design and special analysis set
Meter.The dimension design is:City rail, bus, taxi Integrative Public Transit service-seeking platform -- dimension design.The work(
Can design, as urban track traffic service-seeking platform -- Functional Design and rail transit system, taxi Integrative Public Transit clothes
Business searching platform -- Functional Design.The special analysis design is, and city rail, bus, taxi Integrative Public Transit service are looked into
Ask platform -- special project analysis design, rail transit system GIS-T query interfaces are developed, space-time modeling is carried out to Query Result.
On the basis of above-described embodiment, the process of passenger's satisfaction test and appraisal of public transit system can also be set up.Public transport
The detailed process of passenger's satisfaction test and appraisal of system can include:The specific steps of rail public transport passenger satisfaction test and appraisal are such as
Shown in lower:Determine passenger's satisfaction measurement design model, set up satisfaction Evaluation index system, determine the power of assessment indicator
Weight, assessment indicator quantifies, the detection of public transport big data relevance, generates public transport big data testing result, draws passenger
Satisfaction is tested and assessed.The process of passenger's degree test and appraisal can be found in the evaluation process of above-mentioned service quality, repeat no more.
The public friendship that the appraisal procedure and device of the public transit system service quality that the embodiments of the present invention are provided are realized
Logical big data real-time release rail public transport Service Index pattern mainly includes:
1. public transport big data real-time release urban mass-transit system Service Index;
2. public transport big data real-time release rail public transport Service Index distribution;
3. public transport big data real-time release rail public transport Service Index index distribution;
4. public transport big data real-time release rail public transport Service Index index -- degree of crowding ranking is distributed;
5. public transport big data real-time release rail public transport Service Index index -- crowded website distribution by bus;
6. public transport big data real-time release rail public transport Service Index index -- morning peak freight volume distribution;
7. public transport big data real-time release rail public transport Service Index index-evening peak freight volume distribution;
8. public transport big data real-time release rail public transport Service Index -- gauze, circuit, crowded real-time dynamic monitoring
Flattening Indices are issued;
9. public transport big data real-time release rail public transport Service Index -- vehicle, passenger, station position/time/visitor
Stream real-time dynamic monitoring issue;
10. public transport big data real-time release rail public transport Service Index -- the real-time dynamic publishing of carrying flow;
11. public transport big data real-time release rail public transport Service Indexes -- passenger waits station position distribution;
12. public transport big data real-time release rail public transport Service Indexes -- operational network congestion state is distributed.
In actual applications, it is real-time based on Rational Rose Real Time modeling environment rail public transport Service Indexes
Delivery system, as city " traffic simulation and traffic common information platform " integral application structure.The system is mainly directed towards 3 classes
User (public citizen user, departments of government, traffic technique personnel) provides 8 big functional units, realizes 60 function points, can
Carry out 5000 multiple combinations inquiry rail public transport Service Index real-time publishing system and build core engineering.It is main by " network,
(one network refers to Traffic Information Communication and transmission network to four platformses ", and the four platformses refer to:Transport information is adopted
Collection platform, traffic common information platform and traffic simulation platform and traffic information service platform) constitute.
Rail public transport Service Index real-time publishing system mainly reflect Metro network support all the time (for example,
Setting 3 minutes is a cycle) information of actually used rail public transport Trip distribution situation, the main letter including in terms of traffic flow
Information in terms of breath, rail network working condition information, traffic events etc..Telecommunication flow information includes vehicle flowrate, the crowded journey of track
Degree etc., wherein degree of crowding index can be quantified (Traffic Congestion Index), can set ten ranks to reflect city rail
Public transport is unimpeded, crowded, obstruction different degrees of, green, yellow, red three kinds of color tables is marked with respectively and is reached.Rail network working condition is believed
The main reflection current degree of crowding of city skeleton public traffic network of breath, including congested area, congestion state, congestion duration, gather around
Squeeze variation tendency, form the crowded origin cause of formation, crowded state etc..Traffic events aspect information mainly reflect in Metro network when
The traffic behavior event that the preceding moment occurs, mainly including traffic accident, traffic control, traffic monitoring, traffic data process etc..Track is public
Handing over Service Index real-time publishing system data should design simple, practicality, facilitate data to update and inquire about as far as possible, so as to improve
Data service efficiency.Its data item mainly includes content:Numbering, line name, date, moment, direction, vehicle flowrate, wagon flow speed
Degree, crowding, road condition, traffic events etc..
Rail public transport Service Index real-time publishing system in design and practice process, with traditional non real-time dynamical system
Different characteristics are presented, it is necessary to good method, instrument, the support of language.By rail public transport Service Index real-time publishing system,
Real-time dynamic unity modeling language, the united solution of real-time dynamic information delivery system and Rational Rose
Real Time modeling environments organically combine, and the demand analysis and case modeling, static state and dynamic for having carried out system are built
The interdisciplinary application of mould, the advanced software engineering realized and dispose in Traffic Information Engineering.
Track traffic common information platform is responsible for data fusion, data dictionary, the decision support based on data mining, data
Service and data maintenance, traffic data statistical query is a subfunction of data, services.Based on above-mentioned analysis, by track traffic
The functional organization of common information platform is in data fusion use-case bag, the decision support use-case bag based on data mining, traffic data
In statistical query use-case bag and data maintenance use case bag.
Traffic simulation platform carries out strategic level simulation analysis and project level simulation analysis by intelligent simulation component.Due to intelligence
Energy emulation component has its environment configurations data, so needing to demarcate relevant parameter.In addition, coming for an Integrated Simulation product
Say, maintenance function is essential, in addition it is also necessary to increase the maintenance function of platform.Therefore, function be segmented into strategic level simulation analysis,
Project level simulation analysis, intelligent simulation component are safeguarded and emulation platform safeguards four pieces.Based on above-mentioned analysis, by traffic simulation function
The need for corresponding to traffic simulation platform, be organized as strategic level simulation analysis use-case bag, project level simulation analysis use-case bag,
Intelligent simulation component maintenance use case bag and emulation platform maintenance use case bag.
Traffic information service platform by real-time detection, treatment after traffic circulation state data and simulation result,
In a suitable form the degree of accuracy, be conveyed to user in time, realize round-the-clock, multimode, multifaceted dynamic, static traffic letter
Breath issue.In addition, for an Integrated Simulation product, maintenance function is essential, in addition it is also necessary to increase the maintenance work(of platform
Energy.Therefore, function is segmented into two pieces of information distribution service, information management service.Based on above-mentioned analysis, by function serving information
It is organized in information distribution service use-case bag and information management service use-case bag.
The precedence diagram and collaboration diagram of rail public transport Service Index real-time publishing system issue are referred to as interaction figure, and they are used to divide
Dynamic interaction and message transmission in the use-case realization of analysis describing system between object, help recognize class, responsibility, and between teamworker
Distribution responsibility, is additionally operable to recognize interface and abstract class.
Rail public transport Service Index real-time publishing system software needs to be deployed on corresponding hardware, but also must provide for phase
The running environment answered could normally be run, and the hardware environment involved by system is relatively more, can be divided into five deployment regions:
Data collection zone, external user area, DMZ isolated areas, internal services area, internal user area.Pass through wireless network between regional
Network, internet and LAN realize connection;Internetworking between internet and LAN is realized using router;It is whole to ensure
Individual system network safety isolates internet and LAN with efficiently using fire wall, and exchange is used between fire wall and LAN
Machine is connected, and physical isolation between internal user area and internal services area is realized using gateway, and whole system net is responsible for using webmaster
The management of network equipment.
The preferred embodiments of the present invention are the foregoing is only, is not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.It is all within the spirit and principles in the present invention, made any repair
Change, equivalent, improvement etc., should be included within the scope of the present invention.
Claims (10)
1. a kind of appraisal procedure of public transit system service quality, it is characterised in that methods described includes:
Obtain the basic data of public transit system;
Basic data and default index evaluation model according to the public transit system obtain the corresponding assessment of multinomial service quality
The evaluation score of index, wherein, the evaluation score of each evaluation index is used to characterize the service water of corresponding service quality
It is flat;
Public transport described in the evaluation score of each evaluation index in multiple evaluation indexes and the Weight Acquisition of the evaluation index
The assessment result of system service quality.
2. method according to claim 1, it is characterised in that include the step of the basic data for obtaining public transit system:
The current public transport big data of collection;
Feature extraction is carried out to the public transport big data, using by the public transport big data after the feature extraction as
The basic data of the public transit system.
3. method according to claim 2, it is characterised in that the public transport big data includes passing through image processing method
The line data by bus included in the live video for being gathered that formula is obtained, the facility obtained by electronic mark induction mode are supplied
Answer data and by running at least one of travel condition of vehicle data that managing and control system data extracting mode is obtained.
4. method according to claim 1, it is characterised in that described after obtaining the assessment result of the public transit system
Method also includes:
The assessment result is sent to user terminal.
5. method according to claim 2, it is characterised in that the assessment result correspondence one-level evaluation index, obtains public
Before the step of basic data of friendship system, methods described also includes:
Using the data type of the total data of the basic data as three-tiered evaluation index;
Classification according to all the three-tiered evaluation index and default secondary evaluation index is to all three-tiered evaluation indexs
Classified, so that each one secondary evaluation index of classification of the three-tiered evaluation index correspondence;
Obtain the first weight of the secondary evaluation index and the three-tiered evaluation index corresponding to each described three-tiered evaluation index;
Obtain the second weight of each secondary evaluation index;
According to each described three-tiered evaluation index and its first weight, each described secondary evaluation index and its second weight, institute
The corresponding relation and the one-level evaluation index for stating three-tiered evaluation index and the secondary evaluation index are set up the index and are commented
Estimate model.
6. method according to claim 5, it is characterised in that basic data and default finger according to the public transit system
Mark assessment models obtain the evaluation score of multiple evaluation indexes, and each evaluation index in the multiple evaluation index is commented
Include the step of the assessment result of public transit system described in the Weight Acquisition of valency fraction and the evaluation index:
Obtain the corresponding target three-tiered evaluation index of data type of each data of gathered basic data;
First of the numerical value target three-tiered evaluation index corresponding with the data type of the data according to each data
The evaluation score of Weight Acquisition first;
The first evaluation score target corresponding with the target three-tiered evaluation index according to each target three-tiered evaluation index
Second the second evaluation score of Weight Acquisition of secondary evaluation index;
The second evaluation score according to all secondary evaluation indexs obtains the assessment result of the public transit system.
7. method according to claim 5, it is characterised in that the three-tiered evaluation index includes the first actual measurement index and the
One theory index, the first actual measurement index includes:Turnover platform order, platform are waited order, order of getting on or off the bus, compartment order
Sequence, security service facility mark and operation instruction boldness, emergency evacuation logo definition and the degree of accuracy, subway safety check set
Apply, automatic machine, automatic ticket checker, escalator, lead multiply the identification information degree of accuracy, call out the stops the degree of accuracy and in time degree, train
Operation punctuality rate, admission fee rationality, admission fee diversity, the time out of the station, the booking time, the time of getting on or off the bus, train running speed,
Changed between train departure interval rationality first and last bus time, rail public transport circuit and changed between convenient degree, track traffic and other public transport
Victory degree, peak period compartment crowding, train operation smoothness, the clean and tidy degree of passage, vehicle environment tidiness, car of standing are made an uproar at convenience
Responsiveness and the popularization of convenience-for-people facility that sound decibel, aerial temperature and humidity suitable degree, air circulation, staff are required passenger
At least one in rate;
First theory index includes:Punctuality rate, route map of train encashment ratio, train crowding, ticket machine reliability, savings
Card top-up machines reliability, deposit card top-up machines reliability, gate reliability out of the station, escalator reliability, vertical lift can
By degree, station passenger information system reliability, train passenger information system reliability, train passenger information reliability, train clothes
Business reliability, effective passenger have been complained and effectively passenger complains at least one in recovery rate;
The secondary evaluation index includes:At least one in security, reliability, economy, convenience and comfortableness.
8. a kind of apparatus for evaluating of public transit system service quality, it is characterised in that the assessment dress of the public transit system service quality
Put including:
Basic data acquisition module, the basic data for obtaining public transit system;
Evaluation score acquisition module, obtains many for the basic data according to the public transit system and default index evaluation model
The evaluation score of the corresponding evaluation index of item service quality, wherein, the evaluation score of each evaluation index is right with it for characterizing
The service level of the service quality answered;
Assessment result acquisition module, evaluation score and the assessment for each evaluation index in multiple evaluation indexes refer to
The assessment result of public transit system described in target Weight Acquisition.
9. device according to claim 8, it is characterised in that the assessment result correspondence one-level evaluation index, the dress
Putting also includes index evaluation model building module, and the index evaluation model building module is used for:
Using the data type of the total data of the basic data as three-tiered evaluation index;
Classification according to all the three-tiered evaluation index and default secondary evaluation index is to all three-tiered evaluation indexs
Classified, so that each one secondary evaluation index of classification of the three-tiered evaluation index correspondence;
Obtain the first weight of the secondary evaluation index and the three-tiered evaluation index corresponding to each described three-tiered evaluation index;
Obtain the second weight of each secondary evaluation index;
According to each described three-tiered evaluation index and its first weight, each described secondary evaluation index and its second weight, institute
The corresponding relation and the one-level evaluation index for stating three-tiered evaluation index and the secondary evaluation index are set up the index and are commented
Estimate model.
10. device according to claim 9, it is characterised in that the evaluation score acquisition module specifically for:
Obtain the corresponding target three-tiered evaluation index of data type of each data of gathered basic data;
First of the numerical value target three-tiered evaluation index corresponding with the data type of the data according to each data
The evaluation score of Weight Acquisition first;
The assessment result acquisition module specifically for:
The first evaluation score target corresponding with the target three-tiered evaluation index according to each target three-tiered evaluation index
Second the second evaluation score of Weight Acquisition of secondary evaluation index;
The second evaluation score according to all secondary evaluation indexs obtains the assessment result of the public transit system.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611159087.2A CN106779408A (en) | 2016-12-13 | 2016-12-13 | The appraisal procedure and device of public transit system service quality |
PCT/CN2016/110860 WO2018107510A1 (en) | 2016-12-13 | 2016-12-19 | Method and apparatus for evaluating service quality of public transport system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611159087.2A CN106779408A (en) | 2016-12-13 | 2016-12-13 | The appraisal procedure and device of public transit system service quality |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106779408A true CN106779408A (en) | 2017-05-31 |
Family
ID=58889197
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611159087.2A Pending CN106779408A (en) | 2016-12-13 | 2016-12-13 | The appraisal procedure and device of public transit system service quality |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN106779408A (en) |
WO (1) | WO2018107510A1 (en) |
Cited By (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107240033A (en) * | 2017-06-07 | 2017-10-10 | 国家电网公司客户服务中心 | The construction method and system of a kind of electric power identification model |
CN109325698A (en) * | 2018-09-30 | 2019-02-12 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
CN109325699A (en) * | 2018-09-30 | 2019-02-12 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
CN109377025A (en) * | 2018-09-30 | 2019-02-22 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
CN109543934A (en) * | 2018-10-08 | 2019-03-29 | 北京交通大学 | The evaluation method of the overall target of urban public traffic network |
CN110175767A (en) * | 2019-05-20 | 2019-08-27 | 上海市测绘院 | A kind of park green land equal services integrated estimation system and appraisal procedure |
CN110175765A (en) * | 2019-05-20 | 2019-08-27 | 上海市测绘院 | A kind of basic public education equal services integrated estimation system and appraisal procedure |
CN110186440A (en) * | 2019-05-30 | 2019-08-30 | 中交上海航道勘察设计研究院有限公司 | A kind of tidal reaches waterway regulation works dynamic monitoring method |
CN110324207A (en) * | 2019-07-10 | 2019-10-11 | 深圳市智物联网络有限公司 | A kind of detection method and device of data collection station |
WO2019205118A1 (en) * | 2018-04-28 | 2019-10-31 | 深圳先进技术研究院 | Method and system for publishing bus lane service index, and electronic device |
CN110415513A (en) * | 2018-04-28 | 2019-11-05 | 深圳先进技术研究院 | A kind of public transportation lane Service Index dissemination method, system and electronic equipment |
CN110490419A (en) * | 2019-07-19 | 2019-11-22 | 珠海市岭南大数据研究院 | Processing method, device, computer equipment and the storage medium of Bus information data |
CN110555991A (en) * | 2019-08-30 | 2019-12-10 | 中电信用服务有限公司 | Line quality evaluation system and method |
CN110674552A (en) * | 2019-09-29 | 2020-01-10 | 北京市市政工程研究院 | Subway tunnel monitoring and evaluating method |
CN111047356A (en) * | 2019-11-29 | 2020-04-21 | 阿里巴巴集团控股有限公司 | Value evaluation method and device for traffic shift |
CN112149919A (en) * | 2020-10-15 | 2020-12-29 | 武汉译码当先科技有限公司 | Bus operation line evaluation method, device, equipment and storage medium |
CN112613770A (en) * | 2020-12-28 | 2021-04-06 | 北京市市政工程设计研究总院有限公司 | Granulation space scale public transportation convenience index calculation method and device |
CN112766785A (en) * | 2021-01-28 | 2021-05-07 | 中国人寿保险股份有限公司上海数据中心 | Quality evaluation method, system, device and storage medium for insurance data |
CN113011138A (en) * | 2019-12-19 | 2021-06-22 | 北京懿医云科技有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
CN113283752A (en) * | 2021-05-27 | 2021-08-20 | 哈尔滨工业大学(深圳) | Motorcade service evaluation method, tail end connection method and computing equipment |
CN113379318A (en) * | 2021-07-02 | 2021-09-10 | 广州交信投科技股份有限公司 | Method and device for evaluating operation service quality of public transport system and computer equipment |
CN113505980A (en) * | 2021-07-02 | 2021-10-15 | 公安部交通管理科学研究所 | Reliability evaluation method, device and system for intelligent traffic management system |
CN114418467A (en) * | 2022-03-30 | 2022-04-29 | 中国民用航空总局第二研究所 | Method and device for determining operation quality of airport bus and storage medium |
CN115465336A (en) * | 2022-08-29 | 2022-12-13 | 通号万全信号设备有限公司 | Tramcar operation diagram-based method and device for counting driver and passenger driving data |
CN116188234A (en) * | 2023-05-04 | 2023-05-30 | 倍施特科技(集团)股份有限公司 | Intelligent waiting hall system |
Families Citing this family (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109102183A (en) * | 2018-08-01 | 2018-12-28 | 北京会达分享信息技术有限公司 | A kind of selection method and device of the corporate resources shared |
CN109190968B (en) * | 2018-08-29 | 2021-11-23 | 中国民用航空总局第二研究所 | Empty pipe operation efficiency grade evaluation method and device |
CN111310294A (en) * | 2018-12-11 | 2020-06-19 | 深圳先进技术研究院 | Method for establishing and issuing evaluation index system of traffic management and control service index |
CN110414808A (en) * | 2019-07-11 | 2019-11-05 | 上海交通大学 | It is a kind of based on Annoyance Index to the evaluation method of subway station pedestrian's service level |
CN110796337B (en) * | 2019-09-20 | 2023-05-09 | 江苏大学 | System for evaluating service accessibility of urban bus stop |
CN111027727B (en) * | 2019-12-27 | 2023-06-09 | 中南大学 | Rail system cross-domain operation and maintenance key element identification method |
CN111275309A (en) * | 2020-01-16 | 2020-06-12 | 同济大学 | Passenger transport hub key area safety risk and bearing capacity automatic evaluation method |
CN111260235A (en) * | 2020-01-20 | 2020-06-09 | 上海电力大学 | Energy comprehensive emergency supply system evaluation method based on fuzzy comprehensive evaluation |
CN111311286B (en) * | 2020-02-27 | 2023-04-07 | 腾讯科技(深圳)有限公司 | Intelligent customer service data processing method and device, computing equipment and storage medium |
CN111582110B (en) * | 2020-04-29 | 2023-08-18 | 利智华(北京)智能科技有限公司 | Security check personnel behavior analysis method, device and equipment based on face recognition |
CN111625756A (en) * | 2020-05-27 | 2020-09-04 | 交通运输部科学研究院 | Maturity evaluation method for city MaaS operation system |
CN111653099B (en) * | 2020-06-10 | 2022-06-17 | 南京瑞栖智能交通技术产业研究院有限公司 | Bus passenger flow OD obtaining method based on mobile phone signaling data |
CN112488538A (en) * | 2020-12-04 | 2021-03-12 | 国泰新点软件股份有限公司 | Evaluation index reporting processing method, device and storage medium |
CN112561293A (en) * | 2020-12-08 | 2021-03-26 | 爱信诺征信有限公司 | System and electronic equipment for evaluating suppliers by buyers |
CN112581146A (en) * | 2020-12-24 | 2021-03-30 | 北京嘀嘀无限科技发展有限公司 | Feedback method of travel problems, user request terminal and service evaluation feedback system |
CN112949029B (en) * | 2021-01-26 | 2023-12-08 | 北京交通大学 | Cooperative evaluation method and system for traffic and passenger flows |
CN113160604A (en) * | 2021-04-27 | 2021-07-23 | 华录智达科技股份有限公司 | Bus management method and system based on artificial intelligence |
CN113495009B (en) * | 2021-05-24 | 2022-11-04 | 柳州龙燊汽车部件有限公司 | Quality detection method and system for matching manufacturing of carriage |
CN113256143A (en) * | 2021-06-07 | 2021-08-13 | 中国传媒大学 | Assessment method for media-melting organization, electronic equipment and readable storage medium |
CN113537714B (en) * | 2021-06-11 | 2023-11-24 | 华设设计集团股份有限公司 | Old people public transportation preference scheme assessment method and system based on multi-source big data fusion analysis |
CN113382079B (en) * | 2021-06-23 | 2022-10-28 | 鹤壁国立光电科技股份有限公司 | Hybrid system based on data visualization and data sharing |
CN113657740B (en) * | 2021-08-06 | 2023-01-31 | 北京磁浮有限公司 | Elevator product quality ranking method based on grey correlation analysis and entropy method |
CN114038180A (en) * | 2021-11-09 | 2022-02-11 | 北京京投亿雅捷交通科技有限公司 | Passenger flow prediction risk early warning method based on multi-source data fusion input |
CN114202923B (en) * | 2021-12-07 | 2022-12-06 | 公安部交通管理科学研究所 | Urban road traffic jam space-time distribution comprehensive index evaluation method |
CN114331058B (en) * | 2021-12-15 | 2023-04-21 | 东南大学 | Assessment method for influence of built environment on traffic running condition |
CN114819633B (en) * | 2022-04-25 | 2023-11-24 | 重庆市规划设计研究院 | Traffic facility layout evaluation method applied to homeland space planning |
CN114936786A (en) * | 2022-06-07 | 2022-08-23 | 中交机电工程局有限公司 | Comprehensive efficiency evaluation method of road traffic energy self-consistency system |
CN114863684B (en) * | 2022-06-07 | 2023-06-30 | 中国城市规划设计研究院 | Urban traffic network facility feature analysis system |
CN115512544B (en) * | 2022-09-22 | 2023-08-29 | 同济大学 | Bus operation assessment method and system based on state identification |
CN115577960B (en) * | 2022-10-25 | 2023-07-14 | 北京思维实创科技有限公司 | Dynamic service level assessment method and device for urban rail transit network equipment |
CN115394394B (en) * | 2022-10-27 | 2023-04-07 | 曹县人民医院 | Resident health service reservation method and system based on big data processing technology |
CN115794175B (en) * | 2023-02-06 | 2023-05-02 | 广东省科学技术情报研究所 | Technology research and development evaluation system and method based on big data |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102063645A (en) * | 2009-11-13 | 2011-05-18 | 上海济祥智能交通科技有限公司 | Public traffic operation service quality evaluating system |
CN103745089A (en) * | 2013-12-20 | 2014-04-23 | 北京工业大学 | Multi-dimensional public transport operation index evaluation method |
CN103854475A (en) * | 2014-03-19 | 2014-06-11 | 交通运输部公路科学研究所 | Novel urban public transportation system improvement method |
CN104809112A (en) * | 2014-01-23 | 2015-07-29 | 朱东霞 | Method for comprehensively evaluating urban public transportation development level based on multiple data |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103646374B (en) * | 2013-12-26 | 2017-03-15 | 北京交通发展研究中心 | A kind of routine bus system running comfort index calculation method |
CN103995980B (en) * | 2014-06-06 | 2017-01-25 | 苏州工业职业技术学院 | AHP method for evaluating efficiency performance of busses along rail traffic line |
-
2016
- 2016-12-13 CN CN201611159087.2A patent/CN106779408A/en active Pending
- 2016-12-19 WO PCT/CN2016/110860 patent/WO2018107510A1/en active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102063645A (en) * | 2009-11-13 | 2011-05-18 | 上海济祥智能交通科技有限公司 | Public traffic operation service quality evaluating system |
CN103745089A (en) * | 2013-12-20 | 2014-04-23 | 北京工业大学 | Multi-dimensional public transport operation index evaluation method |
CN104809112A (en) * | 2014-01-23 | 2015-07-29 | 朱东霞 | Method for comprehensively evaluating urban public transportation development level based on multiple data |
CN103854475A (en) * | 2014-03-19 | 2014-06-11 | 交通运输部公路科学研究所 | Novel urban public transportation system improvement method |
Cited By (36)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107240033B (en) * | 2017-06-07 | 2021-02-12 | 国家电网公司客户服务中心 | Method and system for constructing electric power identification model |
CN107240033A (en) * | 2017-06-07 | 2017-10-10 | 国家电网公司客户服务中心 | The construction method and system of a kind of electric power identification model |
CN110415513B (en) * | 2018-04-28 | 2022-09-20 | 深圳先进技术研究院 | Method, system and electronic device for publishing bus lane service index |
CN110415513A (en) * | 2018-04-28 | 2019-11-05 | 深圳先进技术研究院 | A kind of public transportation lane Service Index dissemination method, system and electronic equipment |
WO2019205118A1 (en) * | 2018-04-28 | 2019-10-31 | 深圳先进技术研究院 | Method and system for publishing bus lane service index, and electronic device |
CN109325698A (en) * | 2018-09-30 | 2019-02-12 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
CN109377025A (en) * | 2018-09-30 | 2019-02-22 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
CN109325699A (en) * | 2018-09-30 | 2019-02-12 | 浙江大学华南工业技术研究院 | Measurement method, device, the computer equipment of user experience quantitative evaluation value |
CN109543934A (en) * | 2018-10-08 | 2019-03-29 | 北京交通大学 | The evaluation method of the overall target of urban public traffic network |
CN109543934B (en) * | 2018-10-08 | 2021-11-02 | 北京交通大学 | Method for evaluating comprehensive index of urban public transport network |
CN110175765A (en) * | 2019-05-20 | 2019-08-27 | 上海市测绘院 | A kind of basic public education equal services integrated estimation system and appraisal procedure |
CN110175767A (en) * | 2019-05-20 | 2019-08-27 | 上海市测绘院 | A kind of park green land equal services integrated estimation system and appraisal procedure |
CN110186440B (en) * | 2019-05-30 | 2021-07-02 | 中交上海航道勘察设计研究院有限公司 | Dynamic monitoring method for tidal river reach channel renovation project |
CN110186440A (en) * | 2019-05-30 | 2019-08-30 | 中交上海航道勘察设计研究院有限公司 | A kind of tidal reaches waterway regulation works dynamic monitoring method |
CN110324207A (en) * | 2019-07-10 | 2019-10-11 | 深圳市智物联网络有限公司 | A kind of detection method and device of data collection station |
CN110490419A (en) * | 2019-07-19 | 2019-11-22 | 珠海市岭南大数据研究院 | Processing method, device, computer equipment and the storage medium of Bus information data |
CN110555991A (en) * | 2019-08-30 | 2019-12-10 | 中电信用服务有限公司 | Line quality evaluation system and method |
CN110674552A (en) * | 2019-09-29 | 2020-01-10 | 北京市市政工程研究院 | Subway tunnel monitoring and evaluating method |
CN110674552B (en) * | 2019-09-29 | 2023-04-07 | 北京市市政工程研究院 | Subway tunnel monitoring and evaluating method |
CN111047356B (en) * | 2019-11-29 | 2023-04-28 | 阿里巴巴集团控股有限公司 | Value evaluation method and device for traffic shifts |
CN111047356A (en) * | 2019-11-29 | 2020-04-21 | 阿里巴巴集团控股有限公司 | Value evaluation method and device for traffic shift |
CN113011138A (en) * | 2019-12-19 | 2021-06-22 | 北京懿医云科技有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
CN113011138B (en) * | 2019-12-19 | 2023-09-15 | 北京懿医云科技有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
CN112149919A (en) * | 2020-10-15 | 2020-12-29 | 武汉译码当先科技有限公司 | Bus operation line evaluation method, device, equipment and storage medium |
CN112149919B (en) * | 2020-10-15 | 2024-01-16 | 武汉市公用电子工程有限责任公司 | Bus operation line evaluating method, device, equipment and storage medium |
CN112613770A (en) * | 2020-12-28 | 2021-04-06 | 北京市市政工程设计研究总院有限公司 | Granulation space scale public transportation convenience index calculation method and device |
CN112613770B (en) * | 2020-12-28 | 2024-01-19 | 北京市市政工程设计研究总院有限公司 | Granulated space scale public transportation convenience index calculation method and device |
CN112766785B (en) * | 2021-01-28 | 2024-03-15 | 中国人寿保险股份有限公司上海数据中心 | Quality evaluation method, system, equipment and storage medium for insurance data |
CN112766785A (en) * | 2021-01-28 | 2021-05-07 | 中国人寿保险股份有限公司上海数据中心 | Quality evaluation method, system, device and storage medium for insurance data |
CN113283752A (en) * | 2021-05-27 | 2021-08-20 | 哈尔滨工业大学(深圳) | Motorcade service evaluation method, tail end connection method and computing equipment |
CN113379318A (en) * | 2021-07-02 | 2021-09-10 | 广州交信投科技股份有限公司 | Method and device for evaluating operation service quality of public transport system and computer equipment |
CN113505980A (en) * | 2021-07-02 | 2021-10-15 | 公安部交通管理科学研究所 | Reliability evaluation method, device and system for intelligent traffic management system |
CN114418467B (en) * | 2022-03-30 | 2022-08-16 | 中国民用航空总局第二研究所 | Method and device for determining operation quality of airport bus and storage medium |
CN114418467A (en) * | 2022-03-30 | 2022-04-29 | 中国民用航空总局第二研究所 | Method and device for determining operation quality of airport bus and storage medium |
CN115465336A (en) * | 2022-08-29 | 2022-12-13 | 通号万全信号设备有限公司 | Tramcar operation diagram-based method and device for counting driver and passenger driving data |
CN116188234A (en) * | 2023-05-04 | 2023-05-30 | 倍施特科技(集团)股份有限公司 | Intelligent waiting hall system |
Also Published As
Publication number | Publication date |
---|---|
WO2018107510A1 (en) | 2018-06-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106779408A (en) | The appraisal procedure and device of public transit system service quality | |
Huang et al. | Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case | |
EP4030365A1 (en) | Multi-mode multi-service rail transit analog simulation method and system | |
Casas et al. | Tweeting about public transit—Gleaning public perceptions from a social media microblog | |
WO2018023331A1 (en) | System and method for real-time evaluation of service index of regular public buses | |
CN106448132A (en) | Conventional public traffic service index real-time evaluation system and method | |
Li et al. | A dynamic simulation model of passenger flow distribution on schedule-based rail transit networks with train delays | |
Wilson et al. | The potential impact of automated data collection systems on urban public transport planning. | |
CN109272175A (en) | A kind of data collection system and method based on Urban Migrant network | |
Börjesson et al. | An ex-post CBA for the Stockholm Metro | |
Abreha | Analysing public transport performance using efficiency measures and spatial analysis: The case of Addis Ababa, Ethiopia | |
Shah et al. | Diagnosing transportation: Developing key performance indicators to assess urban transportation systems | |
Grant et al. | Congestion management process: A guidebook | |
Xu et al. | Urban smart public transport studies: a review and prospect | |
Zhang et al. | Analysis of public transit operation efficiency based on multi-source data: A case study in Brisbane, Australia | |
Wang et al. | Adaptability analysis methods of demand responsive transit: a review and future directions | |
Kanafani et al. | Measuring multimodal transport level of service | |
Martseniuk et al. | Passenger transport HUBs: thematic overview | |
Duvarci et al. | A suppressed demand analysis method of the transportation disadvantaged in policy making | |
El-Diraby et al. | The application of knowledge management to support the sustainable analysis of urban transportation infrastructure | |
Bondarabadi et al. | A new approach to assess safety performance of rail regions with an emphasis on the resources and equipment of each region | |
Steiner et al. | Multimodal trade-off analysis in traffic impact studies | |
Basak | Bus rapid transit (BRT) for cities of Bangladesh: a study of identification of potential cities and developing policy framework | |
Mahrez et al. | Theory of Change for the Transformation Towards Open Smart and Sustainable Mobility | |
Solanki et al. | Bus transport system quality benchmarking and optimisation using FAHP & GP technique |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170531 |
|
RJ01 | Rejection of invention patent application after publication |