CN105761190A - Urban community vacancy rate dynamic monitoring method based on mobile phone location data - Google Patents

Urban community vacancy rate dynamic monitoring method based on mobile phone location data Download PDF

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CN105761190A
CN105761190A CN201610069717.0A CN201610069717A CN105761190A CN 105761190 A CN105761190 A CN 105761190A CN 201610069717 A CN201610069717 A CN 201610069717A CN 105761190 A CN105761190 A CN 105761190A
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community
signaling
mobile phone
urban
location data
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杨俊宴
刘鹏程
史宜
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Southeast University
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Southeast University
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    • 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21—Design, administration or maintenance of databases
    • G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases

Abstract

The present invention discloses an urban community vacancy rate dynamic monitoring method based on mobile phone location data. The method comprises: firstly, performing cleaning processing of the mobile phone location data of a target city, and distributing the signaling community land area to an urban plot unit based on the mobile phone signaling community; secondly, performing calculation through a geography information system processing module, and obtaining the covered area and the population capacity of the urban community; and finally, calculating and obtaining the urban community vacancy rate. The urban community vacancy rate dynamic monitoring method based on mobile phone location data is able to perform continuous tracking analysis of long-time mobile phone location data of a target city and realize the dynamic monitoring and quantitative analysis of the urban community vacancy rate so as to perform urban performance evaluation. The urban community vacancy rate dynamic monitoring method based on mobile phone location data realizes the dynamic monitoring of the urban community vacancy rate, is short in time consuming and fast in operation, updates at any time, and effectively save the manpower and the time cost spent at the site reconnaissance investigation.

Description

A kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data
Technical field
The present invention relates to a kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data, belong to the urban community vacancy rate research field in urban planning.
Background technology
Along with the development of urbanization and housing commercialization, Urban New District is expanded quite rapid, and residential area construction scale is considerable.But, owing to newly-built residential area majority is positioned at urban periphal defence, this region base facility and public service facility dispensing are not enough, resident's psychological cognition degree is not high, result in the phenomenon that residential area, considerable degree of new district is vacant, also referred to as " ghost town " phenomenon.In order to alleviate and solve " ghost town " phenomenon, how differentiating and monitoring the vacant situation of urban community is the primary problem solved.
Research on Housing Vacancy Rate refers to that vacant floor space of a certain moment accounts for the ratio of the house gross area, is the urban community resident important evaluation index of moving in situation.The rudimentary algorithm of external Research on Housing Vacancy Rate be for sale, treat that rental estates total amount/all available houses and other commodity rooms are sold and hire out total amount.But external real-estate market is mature and stable, and the real-estate market of China is just experiencing fast-developing and bigger fluctuation periods.A large amount of people from the settlement in Urban New District and suburb QI-insufficiency, Research on Housing Vacancy Rate are low, and the common manpower of method of investigation and study on the spot and time cost are high, so that a kind of dynamically quick monitoring method.
At present, the research method of Research on Housing Vacancy Rate mainly have house generally investigate method, questionnaire investigation method, power consumption Evaluation Method on the spot.But these methods are required for substantial amounts of investigation on the spot makes an on-the-spot survey, and expends a large amount of human and material resources, time, and being frequently encountered by people not in the situation at family, investigation accuracy is worth discussion.The present invention proposes the dynamic monitoring method of a kind of urban community vacancy rate based on mobile phone location data, by the acquisition of mobile phone location data, grasp the practical situation of residential area Crowds Distribute comprehensively and rapidly, and persistence follow-up investigation can be carried out, achieve the long-acting dynamic monitoring to urban community vacancy rate, it is simple to we better study urban community and Urban New District.
Summary of the invention
Goal of the invention: in order to overcome the deficiency of existing investigation method, make full use of existing mobile phone location data, the present invention provides the dynamic monitoring method of a kind of urban community vacancy rate based on mobile phone location data, provides brand-new visual angle and computational methods comparatively easily for urban planning area research urban community and Urban New District.
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
A kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data, comprises the following steps:
1) mobile phone location data is carried out the tables of data obtaining comprising mobile identification number, signaling community and time field, and by its typing geographic information processing module；
2) mobile phone location data after cleaning is assigned to the spatial dimension that each signaling community is corresponding, and cellphone subscriber's quantity of each signaling community is added up；
3) according to urban land form, signaling community is divided into sub-signaling community, based on land area, cellphone subscriber's quantity of each signaling community is assigned to its sub-signaling cell unit, again this little signaling cell unit is collected by residence module unit, obtain cellphone subscriber's quantity of residence module unit；
4) residence module unit Population Capacity is obtained with the overall floorage of residence module unit divided by per capita floorage；
5) according to cellphone subscriber's quantity of residence module unit and Population Capacity, the vacancy rate obtaining residence module unit is calculated.
As preferably, described step 1) in step that mobile phone location data is carried out include:
1.1) set up the attribute database of the mobile phone signaling data comprised in original mobile phone location data, import data；
1.2) the user signaling community that occurrence number is maximum in the time slot set is thought that this user carries out data extraction in the signaling community at place in this time slot；
1.3) select signaling data and include mobile identification number, signaling community and time in the interior field relevant to user mobility the cleaning carrying out mistake and missing information.
As preferably, described step 2) including:
2.1) by the Thiessen polygon function of geographic information processing module, the spatial dimension of mobile phone signaling community the relation that the cellphone subscriber's data obtaining each signaling community map one by one are generated with this spatial dimension；
2.2) collect cellphone subscriber's quantity of each signaling community, and this cellphone subscriber's quantity is stored in the face pel of each signaling community.
As preferably, described step 3) including:
3.1) according to reality mapping and satellite image map, draw the vector building the Modular building number of plies that there are space coordinates, import geographic information processing module and be stored as face pel；
3.2) by geographic information processing module, spatial dimension and community cellphone subscriber's quantity of mobile phone signaling community is obtained based on the mobile phone location data after cleaning；
3.3) signaling community form and urban land form being overlapped according to Classification of Urban Land, divide sub-signaling community, same signaling sub-signaling community has identical land used attribute the same signaling community of subordinate；
3.4) land area obtaining in each signaling community is added up according to the land area in each sub-signaling community；
3.5) cellphone subscriber's quantity of each sub-signaling community in signaling community is calculated based on land area；
3.6) the cellphone subscriber's quantity in each urban land is added up according to the cellphone subscriber's quantity in each sub-signaling community.
As preferably, described step 4) including:
4.1) construction area of building concentration is drawn according to the building floor space of Target cell Land unit and building storey；
4.2) construction area of building concentration all in land used is collected the overall floorage obtaining Target cell；
4.3) obtain the Population Capacity of Target cell divided by per capita floorage with the overall floorage of Target cell.
As preferably, described step 5) in calculate the formula of urban community vacancy rate and be:
V i = ( 1 - K i , P i ) * 100 %
Wherein, ViFor the vacancy rate of residence module unit i, Ki' for the cellphone subscriber quantity K of this residence module uniti', PiPopulation Capacity P for this residence module uniti。
Beneficial effect: compared with prior art, the method for the present invention has the advantage that
1. dynamic and real-time: the shortcoming that residential area, traditional cities vacancy rate statistical method has working cycle length, thus lack ageing, the property of the present invention is directed to propose a kind of can the method for dynamic monitoring urban community vacancy rate, utilization can real-time update mobile phone location data calculate, it is achieved that the dynamic monitoring of urban community vacancy rate.
2. reduce manpower and material resources cost: by the analysis and utilization to mobile phone location data, it is to avoid investigate generaI investigation on the spot on a large scale, save manpower and materials and time cost.Mobile phone location data is carried out and space overlapping, and automatically carries out computing, export urban community vacancy rate, saved the working time, decrease the lengthy and tedious of artificial statistics.
3, accuracy: residential area, traditional cities vacancy rate statistical method is often to generally investigate on the spot, the true occupancy shortage of resident is understood accurately, the present invention starts with from mobile phone location data, and the truer distribution of monitoring resident, improves the accuracy of investigation.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of the embodiment of the present invention.
Mobile phone number of users is carried out reassignment method flow chart based on land area in the embodiment of the present invention by Fig. 2.
Detailed description of the invention
Below in conjunction with specific embodiment, it is further elucidated with the present invention, it should be understood that these embodiments are merely to illustrate the present invention rather than restriction the scope of the present invention, after having read the present invention, the amendment of the various equivalent form of values of the present invention is all fallen within the application claims limited range by those skilled in the art.
As it is shown in figure 1, a kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data disclosed in the invention process embodiment, mainly comprise the steps:
S1: mobile phone location data is carried out and typing geographic information processing module；
S2: the location data after cleaning are assigned to each signaling community, and cellphone subscriber's quantity of each signaling community is added up；
S3: based on land area, cellphone subscriber's quantity of each signaling community is assigned to its sub-signaling cell unit, and collects by residence module unit, obtain cellphone subscriber's quantity of residence module unit；
S4: calculate urban residence Land unit Population Capacity；
S5: calculate the vacancy rate of urban residence Land unit.
Monitor for Shanghai Regional residential area vacancy rate below, describe the concrete processing procedure of the inventive method in detail.
1) it is carried out processing to the Shanghai City mobile phone location data obtained, typing geographic information processing module (such as softwares such as ArcGIS).Wherein mobile phone location data can obtain from operator, and the cleaning of location data can pass through the editor tool etc. in database software, Excel, geographic information processing module.Data cleansing can be carried out in accordance with the following steps:
1.1) initial data input: set up the attribute database of Shanghai City mobile phone signaling data, generates form and field.
1.2) user is mated with signaling community: with a period of time (such as 1 hour) for a time slot, signaling communities maximum for user's occurrence number in a time slot is thought this user signaling community in place in this time slot.
1.3) attribute/field relevant to user mobility in signaling data is selected, as: mobile identification number (MSID), signaling community (CellID), time (Time), time (Event) etc..
1.4) cross the border data cleansing.
A inquires about the latitude and longitude coordinates (GoogleEarth) of research range.
B edit commands, exceedes latitude and longitude information corresponding in form the field of research range coordinate, is deleted.
1.5) MSID (i.e. IMSI) error message is cleaned.
A inquires about MSID data correct format, and (total length, less than 15, uses the numeral of 0～9 equally.Wherein MCC is mobile subscriber belonging country code name, accounts for 3 bit digital, and the MCC of China is defined as 460；MNC is mobile network number, is made up of two or three bit digital, and mobile network's coding (MNC) of China Mobile is 00)
B edit commands, by the field of mistake corresponding in form, is deleted.
1.6) Time error message is cleaned.
A inquires about the information representing hourage in Time field.
B, by not choosing in the error field in 1～24 interval, is deleted.
1.7) CellID missing information cleans
A inquires about signaling subdistrict position (corresponding form is provided) corresponding for CellID by operator.
The cell id field not having corresponding signaling subdistrict position is chosen by B, and is deleted.
2) utilize " space connection " instrument in geographic information processing module, mobile phone location data is assigned to each signaling community, and cellphone subscriber's quantity of each signaling community is added up.Specifically include:
2.1) by the Thiessen polygon function of geographic information processing module, it is possible to generate the spatial dimension of mobile phone signaling community, Shanghai City, cellphone subscriber's data of each signaling community then map one by one with this spatial dimension simultaneously.
2.2) collect cellphone subscriber's quantity of each signaling community, and this cellphone subscriber's quantity is stored in the face pel of each signaling community.
3) based on land area, cellphone subscriber's quantity of each signaling community is carried out cutting again, and it is assigned to the sub-signaling cell unit in each signaling community, again this little signaling cell unit is collected by city Land unit numbering, obtain cellphone subscriber's quantity of city Land unit.Specifically include:
3.1) survey and draw on the spot based on Shanghai and obtain satellite image map with from googleearth, use " Polyline " in autocad software order to draw the Shanghai whole city territory vector building having Accuracy Space coordinate, and with " Text " command standard building storey.Use geographic information processing module the autocad vector drawn building and the number of plies to be imported, and be stored as the face pel of shp form.
3.2) spatial dimension and community cellphone subscriber's quantity of mobile phone signaling community is obtained by mobile phone signaling data.
Mobile phone signaling data is obtained by mobile phone operators.Data in mobile phone includes signaling cell data and mobile phone signaling static data.Signaling cell data includes signaling cell number and geographical coordinate.Mobile phone signaling static data is the numeral of each signaling cell serves mobile phone of certain moment.When mobile phone start shooting, shut down, caller, called, transmitting-receiving note, hand off signaling community or when mobile switching centre, periodic location update, handset identity number, signaling success time, signaling cell number residing at that time are maintained in mobile phone signaling data.Signaling data herein uses the encryption handset identity number eliminated after user property, is not related to the personal information of cellphone subscriber.Thiessen polygon function by softwares such as ArcGIS, it is possible to generate the spatial dimension of mobile phone signaling community, simultaneously cellphone subscriber's data of each signaling community then with this spatial dimension one_to_one corresponding.
3.3) the signaling community form in Shanghai City and urban land form being overlapped, use " intersecting " order in geographic information processing module, overlapping obtains signaling sub-signaling community form.
Use " intersecting " order in geographic information processing module, the spatial shape of Urban land form Yu mobile phone signaling community is overlapped, the minimum space unit (signaling community is by the unit of urban road cutting) that both cuttings are formed, is the sub-signaling community of signaling.Same sub-signaling community has the feature of same city Land unit numbering and the same signaling community of subordinate, is the significant process unit of mobile phone signaling data space identity.
3.4) the land area M in each signaling community is added up.
According to the land area in each sub-signaling community, the sub-signaling community belonging to same signaling community is carried out merger, calculates the land area in each signaling community.
M = Σ i = 1 n M i
In formula, MiFor the land area of sub-signaling cell i, n is the sub-signaling number of cells of same signaling community.
3.5) cellphone subscriber's quantity of each sub-signaling community in signaling community is calculated based on land area.
Based on the hypothesis that cellphone subscriber's distribution density of land area identical in signaling community is equal, in same signaling community, cellphone subscriber's quantity of different sub-signaling communities is directly proportional to its land area, calculates the cellphone subscriber quantity K of each sub-signaling community in signaling community by land areai。
3.6) the cellphone subscriber's quantity in each urban residence Land unit (i.e. urban residential land unit or urban community divides with city regulatory detailed planning and be as the criterion) is added up.
According to the cellphone subscriber's quantity in each sub-signaling community, the sub-signaling community belonged in same urban residence Land unit is carried out merger, calculates the cellphone subscriber's quantity in each land used.
K i , = Σ i = 1 n K i
In formula, KiFor cellphone subscriber's quantity of sub-signaling cell i, n is the sub-signaling number of cells in same urban residence Land unit.
4) Population Capacity of Target cell (i.e. urban residence Land unit) is calculated.
4.1) the building floor space X of Target cell Land unit is added up by geographic information processing modulejAnd building storey Fj, it is multiplied and draws its overall floorage Aj, record statistical result also stores.
Aj=Xj*Fj
AA i = Σ j = 1 n A j
4.2) the construction area A to building concentration all in land usedjCarry out cumulative collecting, obtain adding up the overall floorage AA of this Target celli。
4.3) per capita floorage (newly-increased index) refers to by the average area of dwelling structure that everyone has (whole nation average is 30 square metres per capita) that resident population calculates, Shanghai land resource development is intensive, thus per capita floorage is 24 square metres, with the overall floorage AA of this Target celliDivided by per capita floorage, obtain the Population Capacity P of Target celli。
P i = AA i 24
5) output urban community vacancy rate.
According to 3.6) the cellphone subscriber quantity K of this residence module unit that obtainsi' and 4.3) the Population Capacity P of Target cell that obtainsi, calculate and obtain urban community vacancy rate Vi。
V i = ( 1 - K i , P i ) * 100 % .

Claims (6)

1., based on a urban community vacancy rate dynamic monitoring method for mobile phone location data, it is characterized in that, comprise the following steps:
1) mobile phone location data is carried out the tables of data obtaining comprising mobile identification number, signaling community and time field, and by its typing geographic information processing module；
2) mobile phone location data after cleaning is assigned to the spatial dimension that each signaling community is corresponding, and cellphone subscriber's quantity of each signaling community is added up；
3) according to urban land form, signaling community is divided into sub-signaling community, based on land area, cellphone subscriber's quantity of each signaling community is assigned to its sub-signaling cell unit, again this little signaling cell unit is collected by residence module unit, obtain cellphone subscriber's quantity of residence module unit；
4) residence module unit Population Capacity is obtained with the overall floorage of residence module unit divided by per capita floorage；
5) according to cellphone subscriber's quantity of residence module unit and Population Capacity, the vacancy rate obtaining residence module unit is calculated.
2. a kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data according to claim 1, is characterized in that, described step 1) in step that mobile phone location data is carried out include:
1.1) set up the attribute database of the mobile phone signaling data comprised in original mobile phone location data, import data；
1.2) the user signaling community that occurrence number is maximum in the time slot set is thought that this user carries out data extraction in the signaling community at place in this time slot；
1.3) select signaling data and include mobile identification number, signaling community and time in the interior field relevant to user mobility the cleaning carrying out mistake and missing information.
3. a kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data according to claim 1, is characterized in that, described step 2) including:
2.1) by the Thiessen polygon function of geographic information processing module, the spatial dimension of mobile phone signaling community the relation that the cellphone subscriber's data obtaining each signaling community map one by one are generated with this spatial dimension；
2.2) collect cellphone subscriber's quantity of each signaling community, and this cellphone subscriber's quantity is stored in the face pel of each signaling community.
4. a kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data according to claim 1, is characterized in that, described step 3) including:
3.1) according to reality mapping and satellite image map, draw the vector building the Modular building number of plies that there are space coordinates, import geographic information processing module and be stored as face pel；
3.2) by geographic information processing module, spatial dimension and community cellphone subscriber's quantity of mobile phone signaling community is obtained based on the mobile phone location data after cleaning；
3.3) signaling community form and urban land form being overlapped according to Classification of Urban Land, divide sub-signaling community, same signaling sub-signaling community has identical land used attribute the same signaling community of subordinate；
3.4) land area obtaining in each signaling community is added up according to the land area in each sub-signaling community；
3.5) cellphone subscriber's quantity of each sub-signaling community in signaling community is calculated based on land area；
3.6) the cellphone subscriber's quantity in each urban land is added up according to the cellphone subscriber's quantity in each sub-signaling community.
5. a kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data according to claim 1, is characterized in that, described step 4) including:
4.1) construction area of building concentration is drawn according to the building floor space of Target cell Land unit and building storey；
4.2) construction area of building concentration all in land used is collected the overall floorage obtaining Target cell；
4.3) obtain the Population Capacity of Target cell divided by per capita floorage with the overall floorage of Target cell.
6. a kind of urban community vacancy rate dynamic monitoring method based on mobile phone location data according to claim 1, is characterized in that, described step 5) in calculate urban community vacancy rate formula be:
V i = ( 1 - K 1 , P i ) * 100 %
Wherein, ViFor the vacancy rate of residence module unit i, Ki' for the cellphone subscriber quantity K of this residence module uniti', PiPopulation Capacity P for this residence module uniti。
CN201610069717.0A 2016-02-01 2016-02-01 Urban community vacancy rate dynamic monitoring method based on mobile phone location data Pending CN105761190A (en)

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CN106570184A (en) * 2016-11-11 2017-04-19 同济大学 Method of extracting recreation-dwelling connection data set from mobile-phone signaling data
CN106780236A (en) * 2016-11-17 2017-05-31 江苏省城市规划设计研究院 A kind of mobile phone number distribution statistical method for considering power consumption service condition
CN106780236B (en) * 2016-11-17 2017-12-01 江苏省城市规划设计研究院 A kind of mobile phone number distribution statistical method for considering power consumption service condition
CN108495254B (en) * 2018-03-06 2020-04-24 东南大学 Traffic cell population characteristic estimation method based on signaling data
CN108495254A (en) * 2018-03-06 2018-09-04 东南大学 A kind of traffic zone population characteristic's method of estimation based on signaling data
CN108776868A (en) * 2018-06-05 2018-11-09 广东电网有限责任公司电力科学研究院 A kind of rural area village hollowing appraisal procedure and device based on electricity consumption big data
CN109189804A (en) * 2018-07-02 2019-01-11 北京市天元网络技术股份有限公司 The calculation method of residential block occupancy rate
CN108805784A (en) * 2018-08-24 2018-11-13 佛山市城市规划设计研究院 Urban House and Population Capacity dynamic monitoring system
CN109509351A (en) * 2019-01-04 2019-03-22 江苏省城市规划设计研究院 A kind of calculation method of bus station surrounding area public transport share rate
CN109509351B (en) * 2019-01-04 2020-07-28 江苏省城市规划设计研究院 Method for calculating bus sharing rate in areas around bus stop
CN109978264A (en) * 2019-03-27 2019-07-05 西安电子科技大学 A kind of Urban Population Distribution prediction technique based on space time information
CN110324787A (en) * 2019-06-06 2019-10-11 东南大学 A kind of duty residence acquisition methods of mobile phone signaling data
CN110866787A (en) * 2019-11-18 2020-03-06 许昌学院 Vacant building statistical method based on mobile phone signaling and building outline
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