CN110097264A - A kind of measure of group of cities space and economic relation intensity - Google Patents
A kind of measure of group of cities space and economic relation intensity Download PDFInfo
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Abstract
The present invention provides a kind of measures of group of cities space and economic relation intensity, comprising steps of obtaining the object name and economic demographic data of excel format；It obtains the space research range in city, traffic network data and spatial weighting assignment is carried out to sample point；Most short travel time weighted calculation is carried out based on OD Cost matrix；According to the gravity measurement model of corrective, group of cities space relationship intensity is calculated；Export urban contacts intensity Visual Chart and relation intensity numerical value tables.Space length measuring and calculating in Conventional gravity model metrics method is modified to the travel time by the present invention；Integrated weighting analysis is carried out to the travel time in conjunction with economic data；Incorporate data acquisition, analysis and the calculating step of Urban Traffic time.User need to can only automatically generate the analysis of urban economy space relationship as a result, improving the timeliness and efficiency of group of cities space relationship strength metric according to existing urban economy society data.
Description
Technical field
The present invention relates to data processing fields, in particular to a kind of measurement of group of cities space and economic relation intensity
Method.
Background technique
Currently, external academia breaches simple static description and theoretical qualitative anatomy to the research of space relationship
Limitation more focuses on the utilization for emphasizing connection quantitative model.The research that the country contacts regional space the 1990s with
After gradually appear, research contents stresses inter-regional relations, and research focuses on city and region or larger range of space
Connection, and bias toward the research to Spatial Transport Linkage in Jing.
Traditional evaluation method using space length link metric group of cities space relationship intensity lacks to basic traffic
The concern of the data of construction, measure lack the concern to traffic connection.When therefore inventor providing one kind based on trip
Between data and the group of cities space relationship intensity of statistical model measure and device.
Summary of the invention
In view of the above technical problems, it is empty based on travel time data and the group of cities of statistical model that the present invention provides a kind of
Between relation intensity measure.The present invention has modified Conventional gravity model metrics method, in conjunction with economic data to the travel time
Carry out integrated weighting analysis；Incorporate data acquisition, analysis and the calculating step of Urban Traffic time；Quickly analyzes and city is presented
City's group's space and economic relation intensity.User need to can only automatically generate urban economy sky according to existing urban economy society data
Between linking analysis as a result, improving the timeliness and efficiency of group of cities space relationship strength metric.
The present invention is achieved through the following technical solutions:
A kind of measure of group of cities space and economic relation intensity, comprising steps of
Reading data: reading the excel format urban information to be studied, the urban information include city name,
The a certain study period in the city or the economic numerical value of a certain research field and population numerical value；
Original data processing and analysis: each completed region of the city is positioned as the spatial dimension of research according to city name and is obtained
Take sample point；Spatial weighting assignment is carried out according to point of interest quantity in the affiliated block of correlated samples point；The traffic for obtaining city goes out
Walking along the street network data, the road net data include each road linearity trend, the current spatial positional informations such as direction and entrance
And category of roads information；Construct OD Cost matrix model using traffic network data, with this calculate between sample point most short trip away from
From；With modified gravity measurement model metric calculation urban contacts intensity；
Analysis is presented to be exported with data: being drawn and is generated and export intercity space and economic link metric analysis and intensity data
Table, i.e., by the urban contacts intensity after analysis be automatically rendered as city space intensity line graph, drawing data chart and/
Or Measure Indexes spatial distribution map, and export as the data text that suffix is .xls.
Further, when the excel format urban information that the reading will be studied, especially by identification scheduled field
Constraint rule record has the field of " city name " to obtain research object title, and leads to its a certain study period or a certain research
The economic numerical value in domain carries out classification with population numerical value and is associated with.
Further, when the foundation city name positions spatial dimension of each completed region of the city as research, by fixed
Phase updates national each municipal administration region range and identifies ground completed region of the city ranged space data based on remote sensing image.
Further, when the acquisition sample point, equidistant respectively acquisition is carried out to research range using 300M*300M grid
Block is studied, using the block center of gravity as sample point.
Further, when point of interest quantity carries out spatial weighting assignment in the foundation affiliated block of correlated samples point, fortune
POI data relevant to research in research city is crawled with Python and analyzes its space cuclear density value, with different research blocks
Weight reference of the average of inner core density numerical value as the block sample point in overall space research.
Further, when point of interest quantity carries out spatial weighting assignment in the foundation affiliated block of correlated samples point, with
Foundation of the related data index of each research city next stage administrative division as sample point spatial weighting.
Further, flat by OpenStreetMap open source network when the traffic trip road net data for obtaining city
Platform with obtaining research city transport development data, obtain suffix as the traffic data of .osm, and then from GIS-Geographic Information System
(ArcGIS) platform carries out conversion editor using ArcGIS Editor for OpenStreetMap program.
Further, it is described using traffic network data building OD Cost matrix model when, to " Highway " with
Different field carries out corresponding speed assignment in " Railway " label, and all " link " is set as node.
Further, when calculating the most short travel time between each sample point and remaining city sample point, by a certain city
All sample points be set as starting point, all sample points in another city, which are set as terminal, to carry out the most short travel time and calculates, with sample
Calculating weight of the square root of the respective weight product of point as the two sample points most short travel time, when acquiring the most short trip of two cities
Between weighted average, in this, as intercity travel time metric.
Further, according to having economic demographic data and calculating ground travel time metric, with modified gravity degree
It measures model metrics and calculates group of cities space and economic relation intensity, the gravity measurement model is as follows:
Wherein, Pi, Vi are respectively the total population (people) of city i, city j；Vi、VjRespectively city i, city j total output value
(Wan Yuan)；DijFor the weighting shortest time value of city i and city j；RijFor the economic relation intensity between city i and city j；Through
Ji connection index LRIndicate the size that city i influences in the zone, LRIt is bigger, illustrate city i interregional economic impact degree compared with
Greatly.Traditional gravity measurement model is using particle space length as the module of intercity connection, however this measure is neglected
The case where having omited actual geographic barrier and traffic trip accessibility, therefore invention device measures Conventional gravity in this case
D in modelijThe most short travel time value of weighting is modified to be calculated.
Compared with prior art, the invention has the following beneficial effects:
Space length in Conventional gravity model is modified to the travel time by the present invention；In conjunction with economic data to the travel time
Carry out integrated weighting analysis；Incorporate data acquisition, analysis and the calculating step of Urban Traffic time；Quickly it can analyze and present
Group of cities space and economic relation intensity.User only need to can automatically generate urban economy according to existing urban economy society data
Space relationship is analyzed as a result, improving the timeliness and efficiency of group of cities space relationship strength metric.
Detailed description of the invention
Fig. 1 is data metric method flow schematic diagram of the invention.
Fig. 2 is the part screenshot before data import.
Fig. 3 is derived result schematic diagram.
Specific embodiment
The object of the invention will be described in further detail in the following with reference to the drawings and specific embodiments.It needs to illustrate
, in the absence of conflict, the features in the embodiments and the embodiments of the present application can be combined with each other.
This reality example provides a kind of measure of group of cities space and economic relation intensity.Fig. 1 is a kind of group of cities warp
The measure flow diagram for space relationship intensity of helping, comprising steps of
S1, data read module: the excel format urban information to be studied is read, the urban information includes city
The economic numerical value and population numerical value of city's title, a certain study period in the city or a certain research field.See Fig. 2；
S2, original data processing and analysis: spatial dimension of each completed region of the city as research is positioned according to city name
And obtain sample point；Spatial weighting assignment is carried out according to point of interest quantity in the affiliated block of correlated samples point；Obtain the friendship in city
Pass-out walking along the street network data, the road net data include each road linearity trend, the current spatial positions such as direction and entrance
Information and category of roads information；Construct OD Cost matrix model using traffic network data, with this calculate between sample point it is most short go out
Row distance；With modified gravity measurement model metric calculation urban contacts intensity；
S3, it draws generation and exports intercity space and economic link metric analysis and intensity data table, i.e., it will be after analysis
The urban contacts intensity be automatically rendered as city space intensity line graph and export as suffix be .xls data text.See
Fig. 3.
The implementation of measure and device will be described and be illustrated by preferred embodiment below:
The excel table for importing tool scheduled field constraint rule record, when reading the initial data of analysis, especially by knowledge
Other scheduled field constraint rule record has the field of " city name " to obtain 11, Guangdong,Hongkong and Macao bight area urban place name in this research
Claim, and obtains the total numerical quantities of urban economy in 2016 and population numerical value in form document.
Spatial dimension of each completed region of the city as research is positioned according to city name: by utilizing built-in cities in 2016
Borough domain range and based on remote sensing image identification completed region of the city ranged space data.
When obtaining sample point, equidistant respectively acquisition research block is carried out to research range using 300M*300M grid, with this
Block center of gravity is as sample point.
When carrying out spatial weighting assignment according to point of interest quantity in the affiliated block of correlated samples point, crawls and grind with Python
Study carefully POI data relevant to research in city and analyze its space cuclear density value, with different research block inner core density numerical value
Weight reference of the average as the block sample point in overall space research.
When obtaining the traffic trip road net data in city, is increased income by OpenStreetMap and ground described in network platform acquisition
With studying carefully city transport development data obtain the traffic data that suffix is .osm, and then from from GIS-Geographic Information System ArcGIS platform
Conversion editor is carried out using ArcGIS Editor for OpenStreetMap program.
It is different from " Railway " label to " Highway " when constructing OD Cost matrix model using traffic network data
Field carries out corresponding speed assignment, and all " link " is set as node.
When carrying out corresponding speed assignment to the middle different field, with reference to China's classification road speeds, incite somebody to action '
Trunk', ' motorway', ' subway' are set as 50km/h, ' primary', ' rail' be set as 40km/h, ' secondary' sets
For 30km/h.
When calculating the most short travel time between each sample point and remaining city sample point, by all samples in a certain city
Point is set as starting point, and all sample points in another city, which are set as terminal, to carry out the most short travel time and calculate, with the respective weight of sample point
Calculating weight of the extraction of square root of product as the two sample points most short travel time, the weighting for acquiring the two cities most short travel time are flat
Mean value, in this, as intercity travel time metric.
According to having economic demographic data and calculating ground travel time metric, measured with modified gravity measurement model
Group of cities space and economic relation intensity is calculated, model is as follows:
Wherein, wherein Pi, Vi are respectively the total population (people) of city i, city j；Vi、VjRespectively city i, city j are raw
It produces total value (Wan Yuan)；DijFor the weighting shortest time value of city i and city j；RijEconomic link between city i and city j is strong
Degree；Economic link index LRIndicate the size that city i influences in the zone, LRIt is bigger, illustrate city i in interregional economic impact
Degree is larger.Traditional gravity measurement model is using particle space length as the module of intercity connection, however this is measured
Method has ignored the case where actual geographic barrier and traffic trip accessibility, is Guangdong in view of highway construction and highway travel time
The important foundation of the trans-city trip evaluation in bight area, Hongkong and Macro, therefore invention device will be in Conventional gravity measurement model in this case
DijThe most short travel time value of weighting is modified to be calculated.
It draws and generates and export the intercity space and economic link metric analysis in Guangdong,Hongkong and Macao bight area and intensity data table.Such as
Fig. 3
Optionally, the present invention can also be according to each calculated value drawing data chart above-mentioned and/or Measure Indexes spatial distribution
Figure.
In order to realize above-described embodiment, the embodiment of the invention also provides a kind of electronic equipment, including memory, processing
Device stores the computer program that can be run on a memory and on a processor, when the processor runs described program, realizes
The measure of group of cities space and economic relation intensity as mentioned.
In order to realize above-described embodiment, the embodiment of the invention also provides a kind of storage mediums, are located in equipment, above-mentioned to deposit
Storage media can include but is not limited to: USB flash disk, read-only memory (Read-
Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as
RAM), the various media that can store program code such as mobile hard disk, magnetic or disk.It is stored in the storage medium useful
The program code of the measure of above-mentioned group of cities space and economic relation intensity is executed in the control equipment.
The above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be to the present invention
Embodiment restriction.For those of ordinary skill in the art, it can also make on the basis of the above description
Other various forms of variations or variation.There is no necessity and possibility to exhaust all the enbodiments.It is all of the invention
Made any modifications, equivalent replacements, and improvements etc., should be included in the protection of the claims in the present invention within spirit and principle
Within the scope of.
Claims (10)
1. a kind of measure of group of cities space and economic relation intensity, comprising steps of
Reading data: the excel format urban information to be studied is read, the urban information includes city name, the city
The a certain study period in city or the economic numerical value of a certain research field and population numerical value；
Original data processing and analysis: each completed region of the city is positioned as the spatial dimension of research according to city name and obtains sample
This point；Spatial weighting assignment is carried out according to point of interest quantity in the affiliated block of correlated samples point；Obtain the traffic road netting index in city
According to the road net data includes each road linearity trend, the current spatial positional informations such as direction and entrance and road etc.
Grade information；OD Cost matrix model is constructed using traffic network data, most short trip distance between sample point is calculated with this；With repairing
Positive gravity measurement model metric calculation urban contacts intensity；
Analysis is presented to be exported with data: being drawn and is generated and export intercity space and economic link metric analysis and intensity data table
The urban contacts intensity after analysis is automatically rendered as city space intensity line graph and exports as suffix to be .xls by lattice
Data text.
2. the measure of group of cities space and economic relation intensity according to claim 1, which is characterized in that the reading
When the excel format urban information studied, there is " city name " especially by identification scheduled field constraint rule record
Field obtain research object title, and to the economic numerical value of its a certain study period or a certain research field and population numerical value
Carry out classification association.
3. the measure of group of cities space and economic relation intensity according to claim 1, which is characterized in that the foundation
When city name positions spatial dimension of each completed region of the city as research, by regularly updating national each municipal administration region model
It encloses and ground completed region of the city ranged space data is identified based on remote sensing image.
4. the measure of group of cities space and economic relation intensity according to claim 1, which is characterized in that the acquisition
When sample point, using 300M*300M grid to research range carry out it is equidistant divide equally obtain research block, using the block center of gravity as
Sample point.
5. the measure of group of cities space and economic relation intensity according to claim 1, which is characterized in that the foundation
In the affiliated block of correlated samples point point of interest quantity carry out spatial weighting assignment when, with Python crawl research city in grind
Study carefully relevant POI data and analyze its space cuclear density value, using it is different research block inner core density numerical value averages be used as this
Weight reference of the block sample point in overall space research.
6. the measure of group of cities space and economic relation intensity according to claim 1, which is characterized in that the foundation
When point of interest quantity carries out spatial weighting assignment in the affiliated block of correlated samples point, with each research city next stage administrative division
Foundation of the related data index as sample point spatial weighting.
7. the measure of group of cities space and economic relation intensity according to claim 1, which is characterized in that the acquisition
When the traffic trip road net data in city, pass through OpenStreetMap with increasing income network platform acquisition research city traffic
Data are built, obtain the traffic data that suffix is .osm, and then utilize ArcGIS from GIS-Geographic Information System (ArcGIS) platform
Editor for OpenStreetMap program carries out conversion editor.
8. the measure of group of cities space and economic relation intensity according to claim 1, which is characterized in that the utilization
It is corresponding to different field progress in " Railway " label to " Highway " when traffic network data construct OD Cost matrix model
Speed assignment, all " link " is set as node.
9. the measure of group of cities space and economic relation intensity according to claim 1, which is characterized in that calculate various kinds
When most short travel time between this point and remaining city sample point, all sample points in a certain city are set as starting point, it is another
All sample points in city, which are set as terminal, to carry out most short travel time and calculates, using sample point respectively weight product square root as
The calculating weight of two sample points most short travel time, acquires the weighted average of two cities most short travel time, in this, as city
Travel time metric between city.
10. the measure of group of cities space and economic relation intensity according to claim 9, which is characterized in that according to
There is economic demographic data and calculate ground travel time metric, with modified gravity measurement model metric calculation group of cities economy
Space relationship intensity, the gravity measurement model are as follows:
Wherein, Pi, Vi are respectively the total population (people) of city i, city j；Vi、VjRespectively city i, city j total output value (ten thousand
Member)；DijFor the weighting shortest time value of city i and city j；RijFor the economic relation intensity between city i and city j；Economy connection
Mean several LRIndicate the size that city i influences in the zone, LRIt is bigger, illustrate that city i is larger in interregional economic impact degree.
Traditional gravity measurement model is using particle space length as the module of intercity connection, however this measure has ignored
Actual geographic barrier and the case where traffic trip accessibility, thus in this case invention device by Conventional gravity measurement model
In DijThe most short travel time value of weighting is modified to be calculated.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113421418A (en) * | 2021-03-08 | 2021-09-21 | 上海评驾科技有限公司 | Method for evaluating urban group based on utilization indexes and traffic flow data |
| CN113543052A (en) * | 2021-07-20 | 2021-10-22 | 中国民航科学技术研究院 | Mobile phone signaling data-based city group traffic contact strength measuring method |
| CN113823081A (en) * | 2021-03-08 | 2021-12-21 | 上海评驾科技有限公司 | Space positioning method based on commercial vehicle travel starting and ending point |
| CN114882703A (en) * | 2022-05-17 | 2022-08-09 | 长安大学 | Urban group comprehensive traffic evaluation method |
| CN115186009A (en) * | 2022-07-13 | 2022-10-14 | 中国科学院地理科学与资源研究所 | Urban population daily change spatialization method and system based on interest point data |
-
2019
- 2019-04-18 CN CN201910315068.1A patent/CN110097264A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113421418A (en) * | 2021-03-08 | 2021-09-21 | 上海评驾科技有限公司 | Method for evaluating urban group based on utilization indexes and traffic flow data |
| CN113823081A (en) * | 2021-03-08 | 2021-12-21 | 上海评驾科技有限公司 | Space positioning method based on commercial vehicle travel starting and ending point |
| CN113543052A (en) * | 2021-07-20 | 2021-10-22 | 中国民航科学技术研究院 | Mobile phone signaling data-based city group traffic contact strength measuring method |
| CN113543052B (en) * | 2021-07-20 | 2022-04-29 | 中国民航科学技术研究院 | Mobile phone signaling data-based city group traffic contact strength measuring method |
| CN114882703A (en) * | 2022-05-17 | 2022-08-09 | 长安大学 | Urban group comprehensive traffic evaluation method |
| CN115186009A (en) * | 2022-07-13 | 2022-10-14 | 中国科学院地理科学与资源研究所 | Urban population daily change spatialization method and system based on interest point data |
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