CN113205213B - Public transport evaluation method and system based on internet map data - Google Patents

Public transport evaluation method and system based on internet map data Download PDF

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CN113205213B
CN113205213B CN202110483081.5A CN202110483081A CN113205213B CN 113205213 B CN113205213 B CN 113205213B CN 202110483081 A CN202110483081 A CN 202110483081A CN 113205213 B CN113205213 B CN 113205213B
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康浩
付凌峰
王楠
王森
廖璟瑒
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China Academy Of Urban Planning & Design
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Abstract

The invention discloses a public transportation evaluation method and system based on internet map data, relating to the technical field of intelligent transportation, and comprising the steps of determining the total time of a public transportation travel chain corresponding to each OD travel data according to each OD travel data, a public transportation operation time table and an internet map public transportation travel path API program in a research area; determining a bus service capability index of a research area according to the total bus travel chain time corresponding to each OD travel data and a first set time threshold; performing geographic space matching on the total time of all bus trip chains and each OD trip data, and determining the average bus commuting time consumption of each trip space unit in the research area; and determining the bus weak supply index of the research area according to the average bus commuting time consumption of each trip space unit and a second set time threshold. The method is quick and accurate based on the public transport service capability index and the public transport weak supply index, and systematically evaluates the rationality of urban public transport route setting and operation service.

Description

Public transport evaluation method and system based on internet map data
Technical Field
The invention relates to the technical field of intelligent transportation, in particular to a public transportation evaluation method and system based on internet map data.
Background
In recent years, along with rapid urban development and improvement of the standard of life of citizens, the number of motor vehicles is rapidly increased, and urban congestion is becoming serious. In order to solve the current situation, an urban manager firstly adopts a mode of widening roads and building new roads, but the increase speed of the urban roads is far higher than that of traffic demands due to limited investment and urban land resources, the problems of traffic jam and environmental pollution are still not effectively solved, and urban diseases are more and more advanced.
In order to fundamentally change the travel mode of urban traffic and stop the occurrence of urban diseases such as traffic jam and the like, public traffic is preferentially developed to realize green intensive and sustainable development, so that the public traffic becomes a unified consensus and selection of various big cities, and the public traffic also becomes a focus of attention of various communities and government work. In actual work, although infrastructure investment and government operation subsidies of public transport are remarkably increased, the bus trip sharing rate of many cities is not increased or decreased, the substantial improvement of the bus service level is not brought to the great investment of public transport, and the competition of buses and cars is increasingly weak. Therefore, when great investment is made on public transport, evaluation and research on city bus route setting and operation service rationality need to be synchronously carried out to effectively guide each city to advance high-quality development from high increment development of public transport.
At present, the method for carrying out comprehensive evaluation on the urban public transport system is applied to many research contents, but the evaluation indexes are too numerous and complicated, the data acquirability is weak, the subjectivity is strong, the practical work guidance on local public transport operation units is weak, the presentation effect is poor, and the method does not have the technical multiplexing and popularization among cities.
Disclosure of Invention
In view of the above, the invention provides a public transportation evaluation method and system based on internet map data, which can quickly, accurately and systematically evaluate the reasonability of urban public transportation route setting and operation service.
In order to achieve the purpose, the invention provides the following scheme:
a public transportation evaluation method based on Internet map data comprises the following steps:
determining commuting OD data and a bus operation schedule of a research area; the commuting OD data comprise a plurality of OD trip data, and each OD trip data comprises an O point space coordinate, a D point space coordinate and an OD trip amount; the bus operation schedule comprises departure time frequency data of each bus line;
calling an Internet map bus travel route API program according to each piece of OD travel data, and determining bus travel chain information corresponding to each piece of OD travel data; the bus trip chain information comprises bus lines used for trip, taking and landing stations, walking distance and bus trip time; the Internet map bus route API program is internally provided with bus route data corresponding to the research area; the bus route data comprises attribute information and spatial coordinates of bus routes, and attribute information and spatial coordinates of bus stops;
determining a station waiting time corresponding to each OD trip data according to the bus operation timetable and bus trip chain information corresponding to each OD trip data, and determining a total bus trip chain time corresponding to each OD trip data according to the bus trip time and the station waiting time;
comparing the total bus trip chain time corresponding to each piece of OD trip data with a first set time threshold value respectively to determine a first comparison result, and then determining a bus service capability index of the research area according to each first comparison result and the OD trip data corresponding to each first comparison result;
performing geographic space matching on the total time of all the bus trip chains and each piece of OD trip data, and determining the average bus commuting time consumption of each trip space unit in the research area;
and comparing the average bus commuting time consumption of each trip space unit with a second set time threshold value respectively to determine second comparison results, and then determining the bus supply index of the study area according to each second comparison result.
Optionally, the method further includes:
and comprehensively evaluating the reasonability of the bus route setting and the reasonability of the operation service of the research area according to the bus service capability index and the bus weak supply index.
Optionally, the method includes calling an internet map bus trip path API program according to each piece of OD trip data, and determining bus trip chain information corresponding to each piece of OD trip data, which specifically includes:
inputting the O-point space coordinate and the D-point space coordinate corresponding to each OD travel data into an Internet map bus travel route API program to obtain a bus route, a boarding and alighting station, a walking distance and bus travel time corresponding to each OD travel data; the bus travel time is the sum of the time from walking to the taking and landing station at the two ends of travel, the transfer time between bus lines and the travel time in the bus.
Optionally, the determining, according to the bus operation schedule and the bus travel chain information corresponding to each piece of OD travel data, a bus waiting time at a boarding and alighting station corresponding to each piece of OD travel data, and determining, according to the bus travel time and the bus waiting time at the boarding and alighting station, a total bus travel chain time corresponding to each piece of OD travel data specifically include:
inputting the bus route and the taking and landing station corresponding to each OD trip data into the bus operation time table, and determining the waiting time of the taking and landing station corresponding to each OD trip data;
and adding the bus travel time and the waiting time of the taking and landing station to determine the total bus travel chain time corresponding to each OD travel data.
Optionally, the comparing the total bus trip chain time corresponding to each piece of OD trip data with a first set time threshold respectively to determine a first comparison result, and then determining the bus service capability index of the research area according to each first comparison result and the OD trip data corresponding to each first comparison result specifically includes:
according to the formula
Figure GDA0003987217010000031
Determining a first comparison result; wherein D is i A first comparison result corresponding to the ith OD trip data is shown, a is a first set time threshold value, and T is i Representing the total time of a bus trip chain corresponding to the ith OD trip data;
according to the formula
Figure GDA0003987217010000032
Determining a bus service capability index of a research area; wherein A represents a bus service capability index, N i And expressing the OD trip amount in the ith piece of OD trip data.
Optionally, all the total time of the bus trip chain is matched with each OD trip data in a geographic space, and the average bus commuting time consumption of each trip space unit in the research area is determined, which specifically includes:
according to the formula
Figure GDA0003987217010000041
Determining the average bus commuting time consumption of each travel space unit; wherein, T j Represents the average bus commuting time consumption, U, of the jth trip space unit in the research area i Representing the total time N of the bus trip chain corresponding to the ith OD trip data in the jth space unit i And the OD interval travel amount in the ith piece of OD travel data in the jth space unit is represented.
Optionally, the comparing the average bus commuting time consumption of each travel space unit with a second set time threshold respectively to determine a second comparison result, and then determining a bus weak supply index of the research area according to each second comparison result specifically includes:
according to the formula
Figure GDA0003987217010000042
Determining a second comparison result; wherein D is j A second comparison result corresponding to the jth trip space unit in the research area is shown, b is a second set time threshold value, and T is j Representing the average bus commuting time consumption of the jth trip space unit in the research area;
according to the formula
Figure GDA0003987217010000043
Determining a bus weak supply index of a research area; wherein B represents the weakness of the busFeeding index, M j Represents the OD trip amount of the jth trip space unit.
A public transportation evaluation system based on internet map data comprises:
the system comprises a commuting OD data and bus operation schedule determining module, a data and bus operation schedule determining module and a data and bus operation schedule determining module, wherein the commuting OD data and bus operation schedule determining module is used for determining commuting OD data and a bus operation schedule of a research area; the commuting OD data comprise a plurality of OD trip data, and each OD trip data comprises an O point space coordinate, a D point space coordinate and an OD trip amount; the bus operation schedule comprises departure time frequency data of each bus line;
the public transport trip chain information determining module is used for calling an internet map public transport trip path API program according to each piece of OD trip data and determining the public transport trip chain information corresponding to each piece of OD trip data; the bus trip chain information comprises bus lines used for trip, taking and landing stations, walking distance and bus trip time; the Internet map bus route API program is internally provided with bus route data corresponding to the research area; the bus route data comprises attribute information and spatial coordinates of bus routes, and attribute information and spatial coordinates of bus stops;
the bus trip chain total time calculation module is used for determining the bus waiting time of the taking-off and landing station corresponding to each OD trip data according to the bus operation time table and the bus trip chain information corresponding to each OD trip data, and determining the bus trip chain total time corresponding to each OD trip data according to the bus trip time and the bus waiting time of the taking-off and landing station;
the bus service capability index determining module is used for comparing the total bus trip time corresponding to each piece of OD trip data with a first set time threshold value respectively to determine a first comparison result, and then determining the bus service capability index of the research area according to each first comparison result and the OD trip data corresponding to each first comparison result;
the average bus commuting time consumption calculation module is used for performing geographic space matching on the total time of all the bus travel chains and each OD travel data to determine the average bus commuting time consumption of each travel space unit in the research area;
and the public transport weak supply index determining module is used for comparing the average public transport commuting time consumption of each trip space unit with a second set time threshold value respectively to determine a second comparison result, and then determining the public transport weak supply index of the research area according to each second comparison result.
Optionally, the method further includes:
and the comprehensive evaluation module is used for comprehensively evaluating the reasonability of the bus route setting and the reasonability of the operation service of the research area according to the bus service capability index and the bus weak supply index.
Optionally, the bus trip chain information determining module specifically includes:
the public transport trip chain information determining unit is used for inputting the O point space coordinate and the D point space coordinate corresponding to each piece of OD trip data into an Internet map public transport trip path API program to obtain a public transport line, a taking and landing station, a walking distance and a public transport trip time corresponding to each piece of OD trip data; the bus travel time is the sum of the time from walking to the taking and landing stop at the two ends of travel, the transfer time between bus lines and the travel time in the bus.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
according to the method, the public transportation service capability index and the public transportation weak supply index of the research area are determined through the commuting OD data and the public transportation operation time table of the research area, and then the reasonability of urban public transportation route setting and operation service is evaluated based on the public transportation service capability index and the public transportation weak supply index rapidly and accurately and systematically.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow diagram of a public transportation evaluation method based on Internet map data according to the present invention;
FIG. 2 is a schematic diagram of a computing process of the public transportation evaluation method based on Internet map data;
fig. 3 is a schematic structural diagram of a public transportation evaluation method based on internet map data.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention aims to provide a public transport evaluation method and a public transport evaluation system based on internet map data, which can quickly, accurately and systematically evaluate the reasonability of urban public transport route setting and operation service, realize accurate positioning of a public transport service weak space unit, further pointedly guide local public transport operation units to adjust the urban public transport route trend and service capability supply in time, and have strong technical reuse and popularization values.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Example one
As shown in fig. 1, the present embodiment provides a public transportation evaluation method based on internet map data, which specifically includes the following steps.
Step 101: determining commuting OD data and a bus operation schedule of a research area; the commuting OD data comprise a plurality of OD trip data, and each OD trip data comprises an O point space coordinate, a D point space coordinate and an OD trip amount (number of people); the bus operation schedule comprises departure time frequency data of each bus line.
Step 102: calling an Internet map bus travel route API program according to each piece of OD travel data, and determining bus travel chain information corresponding to each piece of OD travel data; the bus trip chain information comprises bus lines used for trip, taking and landing stations, walking distance and bus trip time; the Internet map bus route API program is internally provided with bus route data corresponding to the research area; the bus route data comprises attribute information and space coordinates of the bus route, and attribute information and space coordinates of the bus stop.
Step 103: according to the bus operation time table and the bus travel chain information corresponding to each OD travel data, the bus waiting time of the taking-off and landing station corresponding to each OD travel data is determined, and the total bus travel chain time corresponding to each OD travel data is determined according to the bus travel time and the bus waiting time of the taking-off and landing station.
Step 104: and comparing the total bus trip chain time corresponding to each piece of OD trip data with a first set time threshold value respectively to determine a first comparison result, and then determining the bus service capability index of the research area according to each first comparison result and the OD trip data corresponding to each first comparison result.
Step 105: performing geographic space matching on the total time of all the bus trip chains and each piece of OD trip data, and determining the average bus commuting time consumption of each trip space unit in the research area;
step 106: and comparing the average bus commuting time consumption of each trip space unit with a second set time threshold value respectively to determine second comparison results, and then determining the bus supply index of the study area according to each second comparison result.
Further, the public transportation evaluation method based on the internet map data provided by the embodiment further includes:
step 107: and comprehensively evaluating the reasonability of the bus route setting and the reasonability of the operation service of the research area according to the bus service capability index and the bus weak supply index, and realizing accurate placement of the bus service weak space unit.
Wherein, step 102 specifically includes:
inputting the O-point space coordinate and the D-point space coordinate corresponding to each OD travel data into an Internet map bus travel route API program to obtain a bus route, a boarding and alighting station, a walking distance and bus travel time corresponding to each OD travel data; the bus travel time is the sum of the time from walking to the taking and landing stop at the two ends of travel, the transfer time between bus lines and the travel time in the bus.
Step 103, specifically comprising:
and inputting the bus line and the boarding and alighting station corresponding to each OD travel data into the bus operation timetable, and determining the waiting time of the boarding and alighting station corresponding to each OD travel data.
And adding the bus travel time and the waiting time of the taking and landing station to determine the total bus travel chain time corresponding to each OD travel data.
Step 104, specifically comprising:
according to the formula
Figure GDA0003987217010000081
Determining a first comparison result; wherein D is i A first comparison result corresponding to the ith OD trip data is shown, a is a first set time threshold value, and T is i And the total time of the bus trip chain corresponding to the ith OD trip data is represented.
According to the formula
Figure GDA0003987217010000082
Determining a bus service capability index of a research area; wherein A represents a bus service capability index, N i And expressing the OD trip amount in the ith piece of OD trip data.
Step 105, specifically comprising:
according to the formula
Figure GDA0003987217010000083
Determining the average bus commuting time consumption of each travel space unit; wherein, T j Represents the average bus commute time consumption, U, of the jth trip space unit in the research area i Representing the total time N of the bus trip chain corresponding to the ith OD trip data in the jth space unit i And the OD interval travel amount in the ith piece of OD travel data in the jth space unit is represented.
Step 106, specifically comprising:
according to the formula
Figure GDA0003987217010000084
Determining a second comparison result; wherein D is j A second comparison result corresponding to the jth trip space unit in the research area is shown, b is a second set time threshold value, T j And the average bus commuting time consumption of the jth trip space unit in the research area is shown.
According to the formula
Figure GDA0003987217010000091
Determining a bus weak supply index of a research area; wherein B represents a public transport weak supply index, M j Represents the OD trip amount of the jth trip space unit.
Example two
The embodiment provides a public transportation evaluation method based on internet map data, which specifically comprises the following operations:
(1) Inputting/outputting data
Inputting data:
the commuting OD data comprise a plurality of OD trip data, and each OD trip data comprises an O point space coordinate, a D point space coordinate and an OD trip amount (number of people).
And the bus route data comprises attribute information and space coordinates of the bus route, and attribute information and space coordinates of the bus stop.
The bus operation timetable comprises departure time frequency data of each bus line.
Internet map bus travel route API program (Application programming interface, foreign language name: application Programming interface): based on an open interface provided by an internet map, the system can be remotely networked and called through a computer program, for example, O-point space coordinates and D-point space coordinates in commuting OD data are input, complete bus trip chain information can be returned, for example, bus trips from a point A to a point B, bus routes, taking and landing stops, walking distances, bus trip time and segment time can be returned; the segment time is the time from walking to the boarding and alighting station at the two ends of the trip, the transfer time between bus lines, the running time in the bus and the like.
Outputting data:
bus service capability index: percentage indicator (%), that is, the proportion of the total commute amount to the commute amount consumed within a first set time threshold (45 minutes) during the bus trip between commute ODs.
Weak supply index of bus: and the percentage index (%) is the proportion of the commute amount consumed in the second set time threshold value during the average bus commute between the commute ODs to the total commute amount.
(2) The calculation process, as shown in fig. 2, has the following operation steps:
1. and inputting the O point space coordinate and the D point space coordinate corresponding to each OD trip data into an Internet map bus trip path API program.
2. The Internet map bus travel path API program outputs bus lines, taking and landing stops, walking distances and bus travel time corresponding to each OD travel data; the bus travel time is the sum of the time of walking to the taking and landing stop at the two ends of travel, the transfer time between bus lines and the travel time in the bus.
3. And inputting the bus line and the taking-off and landing station corresponding to each OD travel data into a bus operation time table, and determining the waiting time of the taking-off and landing station corresponding to each OD travel data.
4. And adding the bus trip time and the waiting time of the boarding and alighting station to determine the total bus trip chain time T corresponding to each OD trip data.
5. And judging and screening the commuting OD data ratio of T < = a, and further calculating the bus service capability index of the research area.
The calculation process of the bus service capability index is as follows:
according to the formula
Figure GDA0003987217010000101
Determining a first comparison result; wherein D is i A first comparison result corresponding to the ith OD trip data is shown, a is a first set time threshold value, and T is i The total time of the bus trip chain corresponding to the ith OD trip data is represented; a may be 45min.
According to the formula
Figure GDA0003987217010000102
Determining a bus service capability index of a research area; wherein A represents a bus service capability index, N i And (4) representing the OD trip amount in the ith OD trip data.
The commuting population proportion of the public transport mode such as can reach the destination through the track, ground public transport in 45 minutes is the measurement of city public transport commuting service ability, has reflected the agreeable degree of public transport system with the space of working and living. Generally speaking, the higher the proportion of the 45-minute bus service capacity, the better the guarantee of the bus system for the urban commute.
6. And (4) performing geographic space matching on the total time T of all the bus trip chains and each OD trip data, and determining the average bus commuting time consumption of each trip space unit in the research area.
Average bus commute time consumption: and the time consumption index (min), namely the average bus travel time consumption of the research area, reflects the space matching degree of the bus service and the working and living layout.
Wherein, the calculation process of the average bus commuting time consumption is as follows:
according to the formula
Figure GDA0003987217010000111
Determining the average bus commuting time consumption of each travel space unit; wherein, T j Represents the average bus commute time consumption, U, of the jth trip space unit in the research area i Represents the total time, N, of the bus trip chain corresponding to the ith OD trip data in the jth space unit i And the OD trip amount in the ith OD trip data in the jth space unit is shown.
7. And judging and screening the travel space unit occupation ratio of T < = b, and further calculating the bus weak supply index of the research area.
The calculation process of the bus weak supply index is as follows:
according to the formula
Figure GDA0003987217010000112
Determining a second comparison result; wherein D is j A second comparison result corresponding to the jth trip space unit in the research area is shown, b is a second set time threshold value, and T is j Representing the average bus commuting time consumption of the jth trip space unit in the research area; b may be 45min. />
According to the formula
Figure GDA0003987217010000113
Determining a bus weak supply index of a research area; wherein B represents a bus weak supply index, M j Represents the OD trip amount of the jth trip space unit.
8. And comprehensively evaluating the reasonability of the bus route setting and the reasonability of the operation service in the research area according to the bus service capability index and the bus weak supply index.
EXAMPLE III
As shown in fig. 3, the present embodiment provides a public transportation evaluation system based on internet map data, including:
a commute OD data and bus operation schedule determining module 401, configured to determine commute OD data and a bus operation schedule of a research area; the commuting OD data comprise a plurality of OD trip data, and each OD trip data comprises an O point space coordinate, a D point space coordinate and an OD trip amount; the bus operation schedule comprises departure time frequency data of each bus line.
A bus trip chain information determining module 402, configured to call an internet map bus trip path API program according to each piece of OD trip data, and determine bus trip chain information corresponding to each piece of OD trip data; the bus trip chain information comprises bus lines used for trip, taking and landing stations, walking distance and bus trip time; the Internet map bus route API program is internally provided with bus route data corresponding to the research area; the bus route data comprises attribute information and space coordinates of the bus route, and attribute information and space coordinates of the bus stop.
And a bus trip chain total time calculation module 403, configured to determine, according to the bus operation schedule and the bus trip chain information corresponding to each OD trip data, a bus waiting time at an embarkation and disembarkation station corresponding to each OD trip data, and determine, according to the bus trip time and the bus waiting time at the embarkation and disembarkation station, a bus trip chain total time corresponding to each OD trip data.
A bus service capability index determining module 404, configured to compare the total bus trip time corresponding to each piece of OD trip data with a first set time threshold respectively to determine a first comparison result, and then determine a bus service capability index of the research area according to each first comparison result and the OD trip data corresponding to each first comparison result.
And the average bus commuting time consumption calculation module 405 is used for matching the total time of the bus trip chain with each OD trip data in a geographic space manner to determine the average bus commuting time consumption of each trip space unit in the research area.
And a public transportation weak supply index determining module 406, configured to compare the average public transportation commute time consumption of each travel space unit with a second set time threshold respectively to determine a second comparison result, and then determine a public transportation weak supply index of the research area according to each second comparison result.
Further, the public transportation evaluation system based on internet map data that this embodiment provided still includes:
and the comprehensive evaluation module 407 is used for comprehensively evaluating the reasonability of the bus route setting and the reasonability of the operation service of the research area according to the bus service capability index and the bus weak supply index.
The bus trip chain information determining module 402 specifically includes:
the public transport trip chain information determining unit is used for inputting the O point space coordinate and the D point space coordinate corresponding to each piece of OD trip data into an Internet map public transport trip path API program to obtain a public transport line, a taking and landing station, a walking distance and a public transport trip time corresponding to each piece of OD trip data; the bus travel time is the sum of the time from walking to the taking and landing stop at the two ends of travel, the transfer time between bus lines and the travel time in the bus.
The bus trip chain total time calculation module 403 specifically includes:
and the taking-off and landing station waiting time calculation unit is used for inputting the bus line and the taking-off and landing station corresponding to each piece of OD trip data into the bus operation time table and determining the taking-off and landing station waiting time corresponding to each piece of OD trip data.
And the total bus trip time calculating unit is used for adding the bus trip time and the waiting time of the boarding and alighting station so as to determine the total bus trip time corresponding to each OD trip data.
The bus service capability index determining module 404 specifically includes:
a first comparison result determination unit for determining a comparison result according to a formula
Figure GDA0003987217010000131
Determining a first comparison result; wherein D is i A first comparison result corresponding to the ith OD trip data is shown, a is a first set time threshold value, and T is i And the total time of the bus trip chain corresponding to the ith OD trip data is represented.
A bus service capability index determination unit for determining the bus service capability index according to a formula
Figure GDA0003987217010000132
Determining a bus service capability index of a research area; wherein A represents a bus service capability index, N i And (4) representing the OD interval travel amount in the ith piece of OD travel data.
The average bus commuting time consumption calculation module 405 specifically includes:
a calculation unit for calculating average bus commuting time consumption according to a formula
Figure GDA0003987217010000133
Determining the average bus commuting time consumption of each travel space unit; wherein, T j Represents the average bus commute time consumption, U, of the jth trip space unit in the research area i Representing the total time N of the bus trip chain corresponding to the ith OD trip data in the jth space unit i And the OD trip amount in the ith piece of OD trip data in the jth space unit is represented.
The module for determining the bus weak supply index specifically comprises:
a second comparison result determination unit for determining the comparison result according to the formula
Figure GDA0003987217010000134
Determining a second comparison result; wherein D is j A second comparison result corresponding to the jth trip space unit in the research area is shown, b is a second set time threshold value, and T is j And the average bus commuting time consumption of the jth trip space unit in the research area is shown.
A bus weak supply index determination unit for determining the supply index according to a formula
Figure GDA0003987217010000141
Determining a bus weak supply index of a research area; wherein B represents a public transport weak supply index, M j Represents the OD trip amount of the jth trip space unit.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the description of the method part.
The principle and the embodiment of the present invention are explained by applying specific examples, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (9)

1. A public transportation evaluation method based on Internet map data is characterized by comprising the following steps:
determining commuting OD data and a bus operation schedule of a research area; the commuting OD data comprise a plurality of OD trip data, and each OD trip data comprises an O point space coordinate, a D point space coordinate and an OD trip amount; the bus operation time table comprises departure time frequency data of each bus line;
calling an Internet map bus travel route API program according to each piece of OD travel data, and determining bus travel chain information corresponding to each piece of OD travel data; the bus trip chain information comprises bus lines used for trip, taking and landing stations, walking distance and bus trip time; the Internet map bus travel path API program is internally provided with bus route data corresponding to the research area; the bus route data comprise attribute information and space coordinates of bus routes, and attribute information and space coordinates of bus stops;
determining a station waiting time corresponding to each OD trip data according to the bus operation timetable and bus trip chain information corresponding to each OD trip data, and determining a total bus trip chain time corresponding to each OD trip data according to the bus trip time and the station waiting time;
comparing the total bus trip chain time corresponding to each piece of OD trip data with a first set time threshold value respectively to determine a first comparison result, and then determining a bus service capability index of the research area according to each first comparison result and the OD trip data corresponding to each first comparison result;
performing geographic space matching on the total time of all the bus travel chains and each piece of OD travel data, and determining the average bus commuting time consumption of each travel space unit in the research area;
comparing the average bus commuting time consumption of each travel space unit with a second set time threshold value respectively to determine second comparison results, and then determining a bus weak supply index of a research area according to each second comparison result;
the method includes the steps of determining a bus station waiting time corresponding to each OD trip data according to a bus operation schedule and bus trip chain information corresponding to each OD trip data, and determining a total bus trip chain time corresponding to each OD trip data according to the bus trip time and the bus station waiting time, and specifically includes the steps of:
inputting the bus route and the taking and landing station corresponding to each OD trip data into the bus operation time table, and determining the waiting time of the taking and landing station corresponding to each OD trip data; and adding the bus travel time and the waiting time of the taking and landing station to determine the total bus travel chain time corresponding to each OD travel data.
2. The public transportation evaluation method based on the internet map data as claimed in claim 1, further comprising:
and comprehensively evaluating the reasonability of the bus route setting and the reasonability of the operation service of the research area according to the bus service capability index and the bus weak supply index.
3. The internet map data-based bus evaluation method according to claim 1, wherein an internet map bus travel route API program is called according to each piece of OD travel data to determine bus travel chain information corresponding to each piece of OD travel data, and specifically includes:
inputting the O-point space coordinate and the D-point space coordinate corresponding to each piece of OD travel data into an Internet map bus travel route API program to obtain a bus line, a boarding and alighting station, a walking distance and bus travel time corresponding to each piece of OD travel data; the bus travel time is the sum of the time from walking to the taking and landing stop at the two ends of travel, the transfer time between bus lines and the travel time in the bus.
4. The internet map data-based bus evaluation method according to claim 1, wherein the step of comparing the total bus trip time corresponding to each piece of OD trip data with a first set time threshold to determine a first comparison result, and then determining the bus service capability index of the research area according to each first comparison result and the OD trip data corresponding to each first comparison result specifically comprises:
determining a first comparison result according to a formula; the first comparison result corresponding to the ith OD trip data is represented as a first set time threshold value, and the total bus trip chain time corresponding to the ith OD trip data is represented;
determining a bus service capability index of a research area according to a formula; and the bus service capability index is represented, and the inter-OD travel amount in the ith piece of OD travel data is represented.
5. The method according to claim 1, wherein the step of performing geospatial matching on the total time of all the bus travel chains and each piece of OD travel data to determine the average bus commute time consumption of each travel space unit in the research area specifically comprises the steps of:
determining the average bus commuting time consumption of each travel space unit according to a formula; the method comprises the steps of obtaining travel data of the OD in the jth space unit, and obtaining the OD travel data of the ith space unit in the jth space unit, wherein the average bus commuting time consumption of the jth travel space unit in a research area is shown, the total bus travel chain time corresponding to the OD travel data of the ith space unit is shown, and the OD travel amount of the ith travel data of the jth space unit is shown.
6. The method according to claim 1, wherein the step of comparing the average transit commute time consumption of each travel space unit with a second set time threshold to determine second comparison results, and then determining the transit weak supply index of the research area according to each second comparison result specifically comprises:
determining a second comparison result according to a formula; the second comparison result corresponding to the jth trip space unit in the research area is represented, the second set time threshold is represented, and the average bus commuting time consumption of the jth trip space unit in the research area is represented;
determining a bus weak supply index of a research area according to a formula; the bus weak supply index is represented, and the travel amount between the ODs of the jth travel space unit is represented.
7. The utility model provides a public transit evaluation system based on internet map data which characterized in that includes:
the system comprises a commuting OD data and bus operation schedule determining module, a data and bus operation schedule determining module and a data and bus operation schedule determining module, wherein the commuting OD data and bus operation schedule determining module is used for determining commuting OD data and a bus operation schedule of a research area; the commuting OD data comprise a plurality of OD trip data, and each OD trip data comprises an O point space coordinate, a D point space coordinate and an OD trip amount; the bus operation schedule comprises departure time frequency data of each bus line;
the public transport trip chain information determining module is used for calling an internet map public transport trip path API program according to each piece of OD trip data and determining the public transport trip chain information corresponding to each piece of OD trip data; the bus trip chain information comprises bus lines used for trip, taking and landing stations, walking distance and bus trip time; the Internet map bus travel path API program is internally provided with bus route data corresponding to the research area; the bus route data comprise attribute information and space coordinates of bus routes, and attribute information and space coordinates of bus stops;
the bus trip chain total time calculation module is used for determining the bus waiting time of the taking-off and landing station corresponding to each OD trip data according to the bus operation time table and the bus trip chain information corresponding to each OD trip data, and determining the bus trip chain total time corresponding to each OD trip data according to the bus trip time and the bus waiting time of the taking-off and landing station;
the bus service capability index determining module is used for comparing the total bus trip time corresponding to each piece of OD trip data with a first set time threshold value respectively to determine a first comparison result, and then determining the bus service capability index of the research area according to each first comparison result and the OD trip data corresponding to each first comparison result;
the average bus commuting time consumption calculation module is used for performing geographic space matching on the total time of all the bus travel chains and each OD travel data to determine the average bus commuting time consumption of each travel space unit in the research area;
the bus weak supply index determining module is used for respectively comparing the average bus commuting time consumption of each travel space unit with a second set time threshold value to determine a second comparison result, and then determining the bus weak supply index of the research area according to each second comparison result;
the method includes the steps of determining a bus waiting time of each OD trip data at a taking-off station according to the bus operation time table and bus trip chain information corresponding to each OD trip data, and determining a total bus trip chain time corresponding to each OD trip data according to the bus waiting time and the taking-off station waiting time, and specifically includes the steps of:
inputting the bus line and the taking-off and landing station corresponding to each OD travel data into the bus operation timetable, and determining the waiting time of the taking-off and landing station corresponding to each OD travel data; and adding the bus travel time and the waiting time of the taking and landing station to determine the total bus travel chain time corresponding to each OD travel data.
8. The internet map data-based bus evaluation system according to claim 7, further comprising:
and the comprehensive evaluation module is used for comprehensively evaluating the reasonability of the bus route setting and the reasonability of the operation service of the research area according to the bus service capability index and the bus weak supply index.
9. The internet map data-based bus evaluation system according to claim 7, wherein the bus trip chain information determination module specifically comprises:
a bus trip chain information determining unit, configured to input the O-point spatial coordinates and the D-point spatial coordinates corresponding to each piece of OD trip data into an internet map bus trip path API program, so as to obtain a bus route, a boarding/alighting station, a walking distance, and a bus trip time corresponding to each piece of OD trip data; the bus travel time is the sum of the time from walking to the taking and landing stop at the two ends of travel, the transfer time between bus lines and the travel time in the bus.
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