CN109035112A - Method and system are determined based on the urban construction and renewal model of multisource data fusion - Google Patents
Method and system are determined based on the urban construction and renewal model of multisource data fusion Download PDFInfo
- Publication number
- CN109035112A CN109035112A CN201810868013.9A CN201810868013A CN109035112A CN 109035112 A CN109035112 A CN 109035112A CN 201810868013 A CN201810868013 A CN 201810868013A CN 109035112 A CN109035112 A CN 109035112A
- Authority
- CN
- China
- Prior art keywords
- traffic
- interest
- data
- point
- title
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010276 construction Methods 0.000 title claims abstract description 44
- 230000004927 fusion Effects 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 30
- 241001269238 Data Species 0.000 claims abstract description 6
- 238000004088 simulation Methods 0.000 claims description 37
- 230000007306 turnover Effects 0.000 claims description 15
- 239000011159 matrix material Substances 0.000 claims description 13
- 238000005457 optimization Methods 0.000 claims description 7
- 238000013179 statistical model Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 5
- 238000009440 infrastructure construction Methods 0.000 claims description 3
- 230000001186 cumulative effect Effects 0.000 claims description 2
- 230000005484 gravity Effects 0.000 claims 1
- 230000029305 taxis Effects 0.000 claims 1
- 238000004458 analytical method Methods 0.000 abstract description 7
- 238000013139 quantization Methods 0.000 abstract description 3
- 238000011161 development Methods 0.000 description 12
- 230000018109 developmental process Effects 0.000 description 12
- 230000006872 improvement Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 244000131316 Panax pseudoginseng Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 210000000026 apposition eye Anatomy 0.000 description 1
- 230000003796 beauty Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000004060 metabolic process Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
Landscapes
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of urban construction based on multisource data fusion and renewal model to determine that method and system, this method contain determining multi-source data acquisition, multisource data fusion, urban transportation trip requirements and load, urban construction and renewal model and determine four big steps.The method of the present invention passes through to acquisition, fusion and analysis comprising multi-source datas such as real estate residence data, vector quantization road network data, interest point data, corporate tax data, level of consumption data, the data such as Traffic Systems traffic loading, transport need and building time are obtained, and determine the mode of urban construction and update based on data.On the one hand the urban construction obtained by the method for the invention and renewal model optimize the time loss and acquisition difficulty of data acquisition, it is often more important that improve the timeliness and the degree of reliability of urban construction and renewal model.
Description
Technical field
The invention belongs to urban construction and more frontier, are related to a kind of urban construction and update based on multisource data fusion
Mode determining method and system.
Background technique
Urban renewal is the great issues about the cities' development that countries in the world today generally faces, and urban renewal is mainly being based on
On the basis of city and socio-economic development status understanding, urban future development Analysis on Prospect, the basic lance of urban development is solved
Shield.That is, the city section of aging is carried out scientific improvement, the complete generationization city of facility full functionality is become.City
City updates work, its essence is the metabolic processes to city function, include city protection, city is repaired, old city changes
It makes, urban renewal, the multinomial content such as newly-built.For at this stage, there are three ways to often use for urban renewal: removing danger
Reconstruction capability exploitation, the commercial development of History of conservancy building and the Renewal of old area of comprehensive improvement mode of old house, total comes
Say it is the Real Estate Development Mode pushed with market.Due to the concern to city integrated structure and function, humanistic thought
Also more important in urban renewal, however there is no the transformations that can keep up with more new concept for urban renewal practice at this stage.
American Architecture designer Harrison not rake propose earliest it is a kind of using public transport as maincenter, comprehensive development
Urban construction concept, i.e. public transport are earth development mode TOD (the Transit Oriented of guiding
Development).In fact, the update for city, can also be carried out based on the thinking of TOD, i.e., by systematically coordinating soil
Relationship between ground exploitation, urban construction and public transport, guides the travel behaviour and travel mode choice of resident, passes through resident's
Trip and the urban architecture in region planning situation determine the strategy of urban renewal.This city based on transport development and trip requirements
City, which renews ideas, substantially reflects the conspiracy relation in traffic and city.
But in practice, it is limited to traditional traffic base data acquisition technology, Traffic Development and trip need
The determination work asked has following some limitations: 1) on the collecting work of basic data, traditional method need by
A large amount of manpower carries out resident's door-to-door survey, on the one hand can consume a large amount of human and material resources and financial resources, and the early period investigated is quasi-
Standby time, the progress time of investigation, the processing time of survey data are all very long;On the other hand the covering surface of investigation is also very
It is narrow, it can only often cover the urban population no more than 3%;2) in terms of demand analysis determination, for Partial key data and ginseng
Approximate processing is used when several values, and the result of traffic trip demand analysis is caused to be inaccurate.Further, since data
Collection period is long, and leading to the result of traffic trip demand analysis, there are certain hysteresis qualitys.The transport need thereby determined that is not
The strategy that can determine urban renewal well results even in the very important decision of urban renewal when transport need deviation is larger
Fault.
Summary of the invention
Goal of the invention: it when to solve traditional cities construction with updating, needs to take time and effort, and urban construction and renewal model
It is determining coordinate inadequate practical problem between Traffic Systems, goal of the invention is to provide a kind of based on multisource data fusion
Urban construction and renewal model determine method and system, by including real estate residence data, vector quantization road network data, emerging
Acquisition, fusion and the analysis of the multi-source datas such as interesting point data, corporate tax data, level of consumption data obtain urban transportation system
It unites traffic loading, transport need and the building data such as time, and determines the mode of urban construction and update, optimization based on data
The time loss and acquisition difficulty of data acquisition, promote the timeliness and the degree of reliability of urban construction and renewal model.
Technical solution: for achieving the above object, the technical solution adopted by the present invention are as follows:
A kind of urban construction based on multisource data fusion and renewal model determine method, and this method comprises the following steps:
(1) multi-source data acquires, and the multi-source data includes real estate residence data, interest point data, corporate tax number
According to, level of consumption data and road network data;The real estate residence data include the residential quarter quantity in city and respectively live
The title in quarter, house sum, the total usable floor area in house, per-capita housing and building time;The interest point data includes
Point of interest total quantity and the title of each point of interest, trade classification and coordinate;The corporate tax data include the enterprise in city
Quantity and the title and annual turnover of each enterprise;The level of consumption data include city shop quantity and each shop
Title and the pre-capita consumption amount of money;
(2) multisource data fusion, comprising: the point of interest by trade classification for office building or residential quarter is classified as traffic
Class point of interest, other points of interest are classified as road traffic simulation class point of interest;By interest point name respectively with residential quarter title, enterprise name
Claim, shop name-matches, obtains the total usable floor area in house, the per-capita housing, enterprise year business of the point of interest of successful match
Volume and the pre-capita consumption amount of money;The total usable floor area in the house of point of interest and per-capita housing are divided by and calculate traffic generation class interest
Number occurs for point traffic;Enterprise's annual turnover of point of interest and the pre-capita consumption amount of money are divided by and calculate road traffic simulation class point of interest
Road traffic simulation number;
(3) urban transportation trip requirements and load determine, comprising: by the traffic of all points of interest in each traffic zone
Number and road traffic simulation number occur for generation number and the corresponding cumulative traffic as traffic zone of logical attraction number;By each friendship
The traffic of logical cell occurs number and is multiplied to obtain the traffic occurrence quantity of traffic zone, the friendship of each traffic zone with trip number per capita
Logical attraction number is road traffic simulation amount;According to traffic trip demand and the link travel time calculated according to road network data, use
Two-source statistical model, which calculates, determines traffic distribution matrix;Traffic distribution matrix is subjected to traffic assignation, root on road network
The traffic loading of each traffic zone is calculated according to allocation result, wherein the traffic loading in n-th of traffic zoneJnFor the road total number in n-th of traffic zone,Respectively
The length and traffic loading of j-th strip road in n-th of traffic zone;
(4) according to the building time of each traffic zone, traffic loading and transport need ordering scenario determine urban construction and
Renewal model.
Preferably, using web crawlers technology in the step (1), the real estate residence in city is crawled on the internet
Data.
Preferably, using Baidu map API, the point of interest in Baidu map web retrieval city in the step (1)
Data.
Preferably, public comment API is used in the step (1), in public comment web retrieval level of consumption data.
Preferably, using whole road network datas in QGIS software download city in the step (1), and calculate
Link travel time of road in the case where free flow.
Preferably, in the step (2), using KMP algorithm by interest point name NBmbRespectively with residential quarter title
NAma, enterprise name NCmc, shop title NDmdIt is matched;According to title NBmb、NAmaWhen being matched: if title NBmb、NAma
Title NB is more than or equal to using the numerical value that KMP algorithm is calculatedmbWith any one NAmaIt is calculated using KMP algorithm
Numerical value, and the numerical value that KMP algorithm is calculated is more than or equal to min (NBmb、NAma) 0.85 times, then successful match;Otherwise
It fails to match;According to title NBmb、NCmcWhen being matched: if title NBmb、NCmcThe numerical value being calculated using KMP algorithm is big
In or equal to title NBmbWith any one NCmcNumerical value, and the number that KMP algorithm is calculated are calculated using KMP algorithm
Value is more than or equal to min (NBmb、NCmc) 0.85 times, then successful match;Otherwise it fails to match;According to title NBmb、NDmdInto
When row matching: if title NBmb、NDmdTitle NB is more than or equal to using the numerical value that KMP algorithm is calculatedmbWith any one
NDmdNumerical value is calculated using KMP algorithm, and the numerical value that KMP algorithm is calculated is more than or equal to min (NBmb、NDmd)
0.85 times, then successful match;Otherwise it fails to match;Wherein, ma, mb, mc, md respectively indicate the serial number of residential quarter, point of interest
Serial number, the serial number of enterprise, the serial number in shop;min(NBmb、NAma)、min(NBmb、NCmc)、min(NBmb、NDmd) respectively indicate name
Claim NBmbAnd NAmaString length smaller value, title NBmbAnd NCmcString length smaller value, title NBmbWith
NDmdString length smaller value.
Preferably, determining that the rule of urban construction and renewal model includes following a kind of or more in the step (4)
Kind: if a% before a% and traffic loading sort after the building time sequence of certain traffic zone, determines that the cell should carry out function
Type urban renewal can be discongested;A% after if a% and traffic loading sort after the building time sequence of certain traffic zone, determining should
Cell should carry out functional promotion type urban renewal;A% and traffic loading sequence before if the building time of certain traffic zone sorts
Preceding a% then determines that the cell should carry out Transportation Infrastructure Construction and optimization;If before the building time sequence of certain traffic zone
A% after a% and traffic loading sort, then it is perfect to determine that the cell should carry out city auxiliary facility;If the friendship of certain traffic zone
A% after logical demand sequence, then it is perfect to determine that the cell should carry out city auxiliary facility;If the transport need of certain traffic zone is arranged
A% before sequence then determines that the cell should carry out Traffic Systems optimization;Wherein a is given threshold.
A kind of urban construction based on multisource data fusion and renewal model that another aspect of the present invention provides determine system,
Include:
Multi-source data acquisition module, including real estate residence data acquisition unit, interest point data acquisition unit, enterprise are received
Tax data acquisition unit, level of consumption data acquisition unit and road network data acquisition unit are respectively used to acquisition real estate and live
Residence data, interest point data, corporate tax data, level of consumption data and road network data;The real estate residence data
The title of residential quarter quantity and each residential quarter including city, house sum, the total usable floor area in house, per-capita housing and
Build the time;The interest point data includes title, trade classification and the coordinate of point of interest total quantity and each point of interest;It is described
Corporate tax data include the number of the enterprise in city and the title and annual turnover of each enterprise;The level of consumption data include
The shop quantity in city and the title in each shop and the pre-capita consumption amount of money;
Multisource data fusion module, comprising: point of interest taxon, for being office building or residential quarter by trade classification
Point of interest is classified as traffic and class point of interest occurs, other points of interest are classified as road traffic simulation class point of interest;Multi-source data matching is single
Member, for interest point name respectively with residential quarter title, enterprise name, shop name-matches, to be obtained the interest of successful match
The total usable floor area in house, per-capita housing, enterprise's annual turnover and the pre-capita consumption amount of money of point;Traffic occurs number and calculates list
Member calculates traffic generation class point of interest traffic generation for the total usable floor area in the house of point of interest and per-capita housing to be divided by
Number;And road traffic simulation number computing unit, enterprise's annual turnover of point of interest and the pre-capita consumption amount of money are divided by calculate and handed over
The logical road traffic simulation number for attracting class point of interest;
Urban transportation trip requirements and load determining module, for number to occur according to the traffic of point of interest and leads to attractive
Number calculates the traffic occurrence quantity and road traffic simulation amount of traffic zone;And according to traffic trip demand and according to road network data
The link travel time of calculating is calculated using two-source statistical model and determines traffic distribution matrix;By traffic distribution matrix in road network
Traffic assignation is carried out on network, the traffic loading of each traffic zone is calculated according to allocation result, wherein the friendship in n-th of traffic zone
Logical loadJnFor the road total number in n-th of traffic zone,
The length and traffic loading of j-th strip road in respectively n-th of traffic zone;
And urban construction and renewal model determining module, for according to the building time of each traffic zone, traffic loading
And transport need ordering scenario determines urban construction and renewal model.
The utility model has the advantages that the urban construction proposed by the present invention based on multisource data fusion and renewal model determine method, it should
Method has fully considered that Land Development, urban construction are to interact and be associated with variation relation between traffic with update and once, leads to
Urban construction and the renewal model for crossing the method for the present invention acquisition, on the one hand optimize time loss and the acquisition of relevant data acquisition
Difficulty, it is often more important that improve the timeliness and the degree of reliability of urban construction and renewal model.
Detailed description of the invention
Fig. 1 is flow diagram of the invention.
Specific embodiment
In the following with reference to the drawings and specific embodiments, the present invention will be further explained.
As shown in Figure 1, a kind of urban construction and renewal model based on multisource data fusion disclosed by the embodiments of the present invention
Determine method, by comprising real estate residence data, vector quantization road network data, interest point data, corporate tax data, disappear
Take the acquisition, fusion and analysis of the multi-source datas such as horizontal data, obtains Traffic Systems trip load, and negative based on traffic
Lotus determines the mode of urban construction and update.This method mainly comprises the steps of:
Step S1: multi-source data acquisition.Specifically include the acquisition of following aspect data:
Step 1A) acquisition of real estate residence Data Data.Using web crawlers technology, (such as chain man on the internet
(https: //www.lianjia.com/), I like my family (https: //www.5i5j.com/) or city housekeeping department master
Building property registration website of pipe etc.) crawl the real estate residence data in city.The data of acquisition include: the residential quarter quantity in city
MA, the ma residential quarter title NAma, the house sum TA of the ma residential quarterma, the total using face in the house of the ma residential quarter
Product AAma, the per-capita housing AB of the ma residential quarterma, the building time YEAR of the ma residential quarterma.Wherein, ma is to live
The serial number in quarter, ma are natural number, and MA >=ma >=1;
Step 1B) interest point data acquisition.Using Baidu map API (such as http://api.map.***.com/
Lbsapi/ interface), the interest point data in Baidu map web retrieval city.The data of acquisition include: the total quantity of point of interest
MB, the title NB of the mb point of interestmb, the trade classification TB of the mb point of interestmb, the coordinate (x of the mb point of interestmb,
ymb).Wherein, mb is the serial number of point of interest, and mb is natural number, and MB >=mb >=1;
Step 1C) acquisition of corporate tax data.(https: //www.qichacha.com/) is seen by enterprise or day eye is looked into
(https: //www.tianyancha.com/) the enterprise management condition information provided directly acquires, or is calculated.Acquisition
Data include: the number of the enterprise MC, the title NC of the mc enterprise in citymc, the annual turnover TC of the mc enterprisemc.Its
In, mc is the serial number of enterprise, and mc is natural number, and MC >=mc >=1;
Step 1D) acquisition of level of consumption data.Using public comment API, in public comment web retrieval level of consumption number
According to.The data of acquisition include: the shop quantity MD in city, the title ND in the md shopmd, the pre-capita consumption gold in the md shop
Volume TDmd.Wherein, md is the serial number in shop, and md is natural number, and MD >=md >=1;
Step 1E) road network data acquisition.Using " the Openstreetmap- built in QGIS software
DownloadData " function, selectes the range in city manually, and downloads whole road network datas in city, then using beauty
Highway Administration Bureau of state BPR function calculates link travel time of road in the case where free flow;
Step S2: multisource data fusion comprises the following steps:
Step 2A): point of interest classification.By the interest point data collected in step 1B) according to trade classification TBmbIt carries out
Classification: if TBmbFor office building, the point of interest of residential quarter, then the mb point of interest is that class point of interest occurs for traffic;Otherwise, if
TBmbFor the point of interest other than office building, residential quarter, then the mb point of interest is road traffic simulation class point of interest;
Step 2B): multi-source data matching.Step 1B) the interest point data collected and step 1A) real estate is lived
Residence Data Data, according to title NBmb、NAmaIt is matched: for the mb point of interest, if title NBmb、NAmaUsing KMP algorithm
The numerical value being calculated is more than or equal to title NBmbWith any one NAmaNumerical value, and KMP are calculated using KMP algorithm
The numerical value that algorithm is calculated is more than or equal to min (NBmb、NAma) 0.85 times, then successful match, mb after matching at this time
The total usable floor area in the house of a point of interest isPer-capita housing after matching isStep 1B) is acquired
The interest point data and step 1C arrived) the corporate tax data that collect, according to title NBmb、NCmcIt is matched: for
The mb point of interest, if title NBmb、NCmcTitle NB is more than or equal to using the numerical value that KMP algorithm is calculatedmbWith it is any
One NCmcNumerical value is calculated using KMP algorithm, and the numerical value that KMP algorithm is calculated is more than or equal to min (NBmb、
NCmc) 0.85 times, then successful match, at this point, the annual turnover of the enterprise of the mb point of interest is after matchingIt will step
Rapid 1B) interest point data and step 1D that collect) level of consumption data that collect, according to title NBmb、NDmdInto
Row matching: for the mb point of interest, if title NBmb、NDmdName is more than or equal to using the numerical value that KMP algorithm is calculated
Claim NBmbWith any one NDmdNumerical value is calculated using KMP algorithm, and the numerical value that KMP algorithm is calculated is greater than or waits
In min (NBmb、NDmd) 0.85 times, then successful match, the pre-capita consumption amount of money of the mb point of interest after matching at this time
Wherein, subscript MAmbFor the serial number of the real estate residence data with the mb interest points matching, subscript MCmbFor with the mb interest
The serial number of the matched corporate tax data of point, subscript MDmbFor the serial number of the level of consumption data with the mb interest points matching;
min(NBmb、NAma)、min(NBmb、NCmc)、min(NBmb、NDmd) respectively indicate title NBmbAnd NAmaString length compared with
Small value, title NBmbAnd NCmcString length smaller value, title NBmbAnd NDmdString length smaller value;
Step 2C): traffic occurs the traffic of class point of interest and number calculating occurs.If the mb point of interest divides in step 2A)
Class is road traffic simulation class point of interest, then number P occurs for the traffic of the mb point of interestmb=0;If the mb point of interest is in step
It is classified as traffic in 2A), class point of interest occurs, then calculates traffic and number occurs: if point of interest successful match in step 2B),
Then number occurs for the traffic of the mb point of interestIf the point of interest in the step 2B) matching not at
Function, then number P occurs for the traffic of the mb point of interestmbThe traffic hair of class point of interest occurs for the traffic of other all successful match
The average value of stranger's number;
Step 2D): road traffic simulation class point of interest road traffic simulation number calculates.If the mb point of interest divides in step 2A)
Class is that class point of interest occurs for traffic, then the road traffic simulation number A of the mb point of interestmb=0;If the mb point of interest is in step
It is classified as road traffic simulation class point of interest in 2A), then calculates road traffic simulation number: if point of interest successful match in step 2B),
The then road traffic simulation number of the mb point of interestIf the point of interest in the step 2B) matching not at
Function, then the road traffic simulation number A of the mb point of interestmbTraffic for the road traffic simulation class point of interest of other all successful match is inhaled
Induce one several average value;
Step S3: urban transportation trip requirements and load determine, comprise the following steps:
Step 3A) initialization of traffic trip demand.It is Pro that number, which occurs, for the initial traffic that n-th of traffic zone is arrangedn=
0, initial road traffic simulation number is Attn=0.Wherein, n is the serial number of traffic zone, and n is natural number, and N >=n >=1.N is to hand over
The sum of logical cell;
Step 3B) determination of traffic trip number.Number and road traffic simulation people occur for the traffic for successively handling each point of interest
Number: the mb point of interest is in traffic zone nmbIt is interior, then number P is occurred into for the traffic of the mb point of interestmb, road traffic simulation number
AmbIt is corresponding to be added to n-thmbNumber occurs for the traffic of a traffic zoneRoad traffic simulation numberOn;
Step 3C) determination of traffic trip demand.The traffic occurrence quantity of n-th of traffic zone is PPron=Pron× time,
Road traffic simulation amount is AAttn=Attn, wherein time is number of going on a journey per capita;
Step 3D) determination of traffic distribution matrix.Utilize step 3C) the traffic trip demand obtained and step 1E) it obtains
Link travel time calculate and determine traffic distribution matrix using two-source statistical model;The method of specific two-source statistical model
It can refer to the content in the 66-70 pages of " traffic programme " (People's Transportation Press, the version in 2007) of Wang Wei, Chen Xuewu chief editor.
Step 3E) traffic assignation.The traffic distribution matrix that step 1G4) is obtained, in the road network of step 1E) acquisition
Upper carry out traffic assignation, distribution method use capacity limit-Logit assignment model.The result of recording traffic distribution: n-th of traffic
In cell, the length of j-th strip roadJ-th strip road is that traffic loading isWherein, j is the serial number of road, and j is
Natural number, and Jn≥j≥1。JnFor the road total number in n-th of traffic zone;
Step 3F) traffic loading calculating.Traffic loading in n-th of traffic zone is determined by following formula
Step S4: urban construction and renewal model determine, comprise the following steps:
Step 4A) traffic loading, demand and the sequence of building time.Traffic zone is subjected to descending according to traffic loading size
Arrangement, the sequence serial number n of n-th of traffic zone after sequenceVOC;By traffic zone according to traffic occurrence quantity be PPronWith traffic
Traffic attraction AAttnAnd carry out descending arrangement, the sequence serial number n of n-th of traffic zone after sequencedemand;Traffic zone is pressed
Descending sort, the sequence of n-th of traffic zone after sequence are carried out according to the building time average value size of residential quarter in traffic zone
Serial number nyear;
Step 4B) urban construction, renewal model determination.According to step 4A) traffic loading, transport need and building time
Ranking results determine urban construction, renewal model: if 10% and traffic loading after the building time sequence of n-th traffic zone
Sequence preceding 10%, then should carry out function dispersal type urban renewal to the cell;If the building time sequence of n-th of traffic zone
Afterwards 10% and traffic loading sequence after 10%, then functional promotion type urban renewal should be carried out to the cell;If n-th of traffic is small
The building time sequence preceding 10% and traffic loading sequence preceding 10% in area, then should carry out Transportation Infrastructure Construction to the cell
And optimization;If, should to the cell 10% after the building time sequence preceding 10% and traffic loading sequence of n-th of traffic zone
It is perfect to carry out city auxiliary facility;If the transport need (traffic occurrence quantity and road traffic simulation amount and) of n-th of traffic zone is arranged
10% after sequence, then it is perfect city auxiliary facility should to be carried out to the cell;If before the transport need sequence of n-th of traffic zone
10%, then Traffic Systems optimization should be carried out to the cell.
Another embodiment of the present invention provides a kind of urban construction based on multisource data fusion and renewal model determine be
System, including multi-source data acquisition module, multisource data fusion module, urban transportation trip requirements and load determining module and city
City's construction and renewal model determining module.Wherein multi-source data acquisition module, including real estate residence data acquisition unit, interest
Point data acquisition unit, corporate tax data acquisition unit, level of consumption data acquisition unit and road network data acquisition are single
Member is respectively used to acquisition real estate residence data, interest point data, corporate tax data, level of consumption data and road network number
According to.Multisource data fusion module, comprising: point of interest taxon, for being the interest of office building or residential quarter by trade classification
Point is classified as traffic and class point of interest occurs, other points of interest are classified as road traffic simulation class point of interest;Multi-source data matching unit is used
In interest point name respectively with residential quarter title, enterprise name, shop name-matches, is obtained the room of the point of interest of successful match
The total usable floor area in room, per-capita housing, enterprise's annual turnover and the pre-capita consumption amount of money;Number computing unit occurs for traffic, uses
Traffic generation class point of interest traffic generation number is calculated in the total usable floor area in the house of point of interest and per-capita housing are divided by;
And road traffic simulation number computing unit, enterprise's annual turnover of point of interest and the pre-capita consumption amount of money are divided by and calculate traffic suction
Draw the road traffic simulation number of class point of interest.Urban transportation trip requirements and load determining module, for the traffic according to point of interest
Generation number and logical attraction number calculate the traffic occurrence quantity and road traffic simulation amount of traffic zone;And according to traffic trip demand
Link travel time with calculating according to road network data, is calculated using two-source statistical model and determines traffic distribution matrix;It will hand over
Logical distribution matrix carries out traffic assignation on road network, and the traffic loading of each traffic zone is calculated according to allocation result;City
Construction and renewal model determining module, for according to the building time of each traffic zone, traffic loading and transport need sequence feelings
Condition determines urban construction and renewal model.The urban construction based on multisource data fusion and renewal model determine system embodiment
It can be used for executing the above-mentioned urban construction based on multisource data fusion and renewal model determine that embodiment of the method, technology are former
The technical effect of the technical issues of managing, is solved and generation is similar, implements details referring to above method embodiment, herein not
It repeats again.
Claims (8)
1. a kind of urban construction based on multisource data fusion and renewal model determine method, which is characterized in that this method includes
Following steps:
(1) multi-source data acquires, and the multi-source data includes real estate residence data, interest point data, corporate tax data, disappears
Take horizontal data and road network data;The real estate residence data include city residential quarter quantity and each residential quarter
Title, house sum, the total usable floor area in house, per-capita housing and building time;The interest point data includes point of interest
Total quantity and the title of each point of interest, trade classification and coordinate;The corporate tax data include the number of the enterprise in city with
And the title and annual turnover of each enterprise;The level of consumption data include city shop quantity and each shop title and
The pre-capita consumption amount of money;
(2) multisource data fusion, comprising: the point of interest that trade classification is office building or residential quarter is classified as traffic, and that class occurs is emerging
Interesting, other points of interest are classified as road traffic simulation class point of interest;By interest point name respectively with residential quarter title, enterprise name,
Shop name-matches, obtain the total usable floor area in house of the point of interest of successful match, per-capita housing, enterprise's annual turnover and
The pre-capita consumption amount of money;The total usable floor area in the house of point of interest and per-capita housing are divided by and calculate traffic generation class point of interest friendship
Logical generation number;Enterprise's annual turnover of point of interest and the pre-capita consumption amount of money are divided by and calculate the traffic of road traffic simulation class point of interest
Attraction number;
(3) urban transportation trip requirements and load determine, comprising: the traffic of all points of interest in each traffic zone occurs
Number and road traffic simulation number occur for number and the corresponding cumulative traffic as traffic zone of logical attraction number;Each traffic is small
The traffic in area occurs number and is multiplied to obtain the traffic occurrence quantity of traffic zone with trip number per capita, and the traffic of each traffic zone is inhaled
Number induce one as road traffic simulation amount;According to traffic trip demand and according to road network data calculate link travel time, using it is double about
Beam Gravity Models, which calculates, determines traffic distribution matrix;Traffic distribution matrix is subjected to traffic assignation on road network, according to point
The traffic loading of each traffic zone is calculated with result, wherein the traffic loading in n-th of traffic zoneJnFor the road total number in n-th of traffic zone,Respectively
The length and traffic loading of j-th strip road in n-th of traffic zone;
(4) urban construction and update are determined according to the building time of each traffic zone, traffic loading and transport need ordering scenario
Mode.
2. a kind of urban construction based on multisource data fusion according to claim 1 and renewal model determine method,
It is characterized in that, web crawlers technology is used in the step (1), crawls the real estate residence data in city on the internet.
3. the urban transportation trip requirements according to claim 1 based on multisource data fusion determine that method, feature exist
In, using Baidu map API in the step (1), the interest point data in Baidu map web retrieval city.
4. the urban transportation trip requirements according to claim 1 based on multisource data fusion determine that method, feature exist
In using public comment API in the step (1), in public comment web retrieval level of consumption data.
5. the urban transportation trip requirements according to claim 1 based on multisource data fusion determine that method, feature exist
In, the middle whole road network datas using QGIS software download city of the step (1), and road is calculated in the feelings of free flow
Link travel time under condition.
6. the urban transportation trip requirements according to claim 1 based on multisource data fusion determine that method, feature exist
In in the step (2), using KMP algorithm by interest point name NBmbRespectively with residential quarter title NAma, enterprise name NCmc、
Shop title NDmdIt is matched;According to title NBmb、NAmaWhen being matched: if title NBmb、NAmaIt is calculated using KMP algorithm
Obtained numerical value is more than or equal to title NBmbWith any one NAmaNumerical value, and KMP algorithm are calculated using KMP algorithm
The numerical value being calculated is more than or equal to min (NBmb、NAma) 0.85 times, then successful match;Otherwise it fails to match;According to
Title NBmb、NCmcWhen being matched: if title NBmb、NCmcTitle is more than or equal to using the numerical value that KMP algorithm is calculated
NBmbWith any one NCmcNumerical value is calculated using KMP algorithm, and the numerical value that KMP algorithm is calculated is more than or equal to
min(NBmb、NCmc) 0.85 times, then successful match;Otherwise it fails to match;According to title NBmb、NDmdWhen being matched: if name
Claim NBmb、NDmdTitle NB is more than or equal to using the numerical value that KMP algorithm is calculatedmbWith any one NDmdIt is calculated using KMP
Numerical value is calculated in method, and the numerical value that KMP algorithm is calculated is more than or equal to min (NBmb、NDmd) 0.85 times, then
With success;Otherwise it fails to match;Wherein, ma, mb, mc, md respectively indicate the serial number of residential quarter, the serial number of point of interest, enterprise
Serial number, the serial number in shop;min(NBmb、NAma)、min(NBmb、NCmc)、min(NBmb、NDmd) respectively indicate title NBmbAnd NAma
String length smaller value, title NBmbAnd NCmcString length smaller value, title NBmbAnd NDmdCharacter string it is long
The smaller value of degree.
7. the urban transportation trip requirements according to claim 1 based on multisource data fusion determine that method, feature exist
In determining that the rule of urban construction and renewal model includes following one or more: if certain traffic zone in the step (4)
The sequence of building time after a% and traffic loading sort before a%, then determine that the cell should carry out function dispersal type city more
Newly;If a% after a% and traffic loading sort after the building time sequence of certain traffic zone, determines that the cell should carry out function
It can hoist type urban renewal;If a% before a% and traffic loading sort before the building time of certain traffic zone sorts, determining should
Cell should carry out Transportation Infrastructure Construction and optimization;A% and traffic loading before if the building time of certain traffic zone sorts
It is perfect then to determine that the cell should carry out city auxiliary facility by a% after sequence;If after the transport need sequence of certain traffic zone
It is perfect then to determine that the cell should carry out city auxiliary facility by a%;If a% before the transport need of certain traffic zone is sorted, sentences
The fixed cell should carry out Traffic Systems optimization;Wherein a is given threshold.
8. a kind of urban construction based on multisource data fusion and renewal model determine system characterized by comprising
Multi-source data acquisition module, including real estate residence data acquisition unit, interest point data acquisition unit, corporate tax number
Acquisition real estate residence number is respectively used to according to acquisition unit, level of consumption data acquisition unit and road network data acquisition unit
According to, interest point data, corporate tax data, level of consumption data and road network data;The real estate residence data include
The residential quarter quantity in city and the title of each residential quarter, house sum, the total usable floor area in house, per-capita housing and building
Time;The interest point data includes title, trade classification and the coordinate of point of interest total quantity and each point of interest;The enterprise
Data of paying taxes include the number of the enterprise in city and the title and annual turnover of each enterprise;The level of consumption data include city
Shop quantity and each shop title and the pre-capita consumption amount of money;
Multisource data fusion module, comprising: point of interest taxon, for being the interest of office building or residential quarter by trade classification
Point is classified as traffic and class point of interest occurs, other points of interest are classified as road traffic simulation class point of interest;Multi-source data matching unit is used
In interest point name respectively with residential quarter title, enterprise name, shop name-matches, is obtained the room of the point of interest of successful match
The total usable floor area in room, per-capita housing, enterprise's annual turnover and the pre-capita consumption amount of money;Number computing unit occurs for traffic, uses
Traffic generation class point of interest traffic generation number is calculated in the total usable floor area in the house of point of interest and per-capita housing are divided by;
And road traffic simulation number computing unit, enterprise's annual turnover of point of interest and the pre-capita consumption amount of money are divided by and calculate traffic suction
Draw the road traffic simulation number of class point of interest;
Urban transportation trip requirements and load determining module, for number and logical attraction population number meter to occur according to the traffic of point of interest
Calculate the traffic occurrence quantity and road traffic simulation amount of traffic zone;And it is calculated according to traffic trip demand and according to road network data
Link travel time, using two-source statistical model calculate determine traffic distribution matrix;By traffic distribution matrix on road network
Traffic assignation is carried out, the traffic loading of each traffic zone is calculated according to allocation result, wherein the traffic in n-th of traffic zone is negative
LotusJnFor the road total number in n-th of traffic zone,Respectively
For the length and traffic loading of j-th strip road in n-th of traffic zone;
And urban construction and renewal model determining module, for building time, traffic loading and the friendship according to each traffic zone
Logical demand ordering scenario determines urban construction and renewal model.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810868013.9A CN109035112B (en) | 2018-08-02 | 2018-08-02 | City construction and updating mode determining method and system based on multi-source data fusion |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810868013.9A CN109035112B (en) | 2018-08-02 | 2018-08-02 | City construction and updating mode determining method and system based on multi-source data fusion |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109035112A true CN109035112A (en) | 2018-12-18 |
CN109035112B CN109035112B (en) | 2021-01-26 |
Family
ID=64648908
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810868013.9A Active CN109035112B (en) | 2018-08-02 | 2018-08-02 | City construction and updating mode determining method and system based on multi-source data fusion |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109035112B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112199566A (en) * | 2020-09-27 | 2021-01-08 | 成都房联云码科技有限公司 | City update effect evaluation method and system based on real estate big data |
CN112613662A (en) * | 2020-12-23 | 2021-04-06 | 北京恒达时讯科技股份有限公司 | Highway traffic volume analysis method and device, electronic equipment and storage medium |
CN113192321A (en) * | 2021-03-17 | 2021-07-30 | 东南大学 | Traffic demand distribution extraction method for comprehensive land utilization |
CN113611105A (en) * | 2021-07-09 | 2021-11-05 | 东南大学 | Urban traffic travel demand total quantity prediction method |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102368309A (en) * | 2011-04-02 | 2012-03-07 | 复旦大学 | Method and system for supporting urban land utilization and traffic integrated planning policy |
CN104809112A (en) * | 2014-01-23 | 2015-07-29 | 朱东霞 | Method for comprehensively evaluating urban public transportation development level based on multiple data |
CN105070042A (en) * | 2015-07-22 | 2015-11-18 | 济南市市政工程设计研究院(集团)有限责任公司 | Modeling method of traffic prediction |
CN106250540A (en) * | 2016-08-09 | 2016-12-21 | 大连理工大学 | Analysis method based on the region parking difficulty or ease index that the open data of Baidu's map are excavated with web data |
CN106504535A (en) * | 2016-11-30 | 2017-03-15 | 东南大学 | A kind of combination Gravity Models and the trip distribution modeling method of Fratar models |
CN106528611A (en) * | 2016-09-28 | 2017-03-22 | 西南交通大学 | Analysis method based on internet comment data |
US20180011912A1 (en) * | 2016-07-11 | 2018-01-11 | Al-Elm Information Security Co. | Methods and systems for multi-dynamic data retrieval and data disbursement |
CN107943936A (en) * | 2017-11-23 | 2018-04-20 | 烟台大学 | A kind of construction method of the city space holographic map based on the fusion of multi-source big data |
CN108009972A (en) * | 2017-10-24 | 2018-05-08 | 北京交通大学 | A kind of multimode trip O-D needs estimate methods checked based on multi-source data |
-
2018
- 2018-08-02 CN CN201810868013.9A patent/CN109035112B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102368309A (en) * | 2011-04-02 | 2012-03-07 | 复旦大学 | Method and system for supporting urban land utilization and traffic integrated planning policy |
CN104809112A (en) * | 2014-01-23 | 2015-07-29 | 朱东霞 | Method for comprehensively evaluating urban public transportation development level based on multiple data |
CN105070042A (en) * | 2015-07-22 | 2015-11-18 | 济南市市政工程设计研究院(集团)有限责任公司 | Modeling method of traffic prediction |
US20180011912A1 (en) * | 2016-07-11 | 2018-01-11 | Al-Elm Information Security Co. | Methods and systems for multi-dynamic data retrieval and data disbursement |
CN106250540A (en) * | 2016-08-09 | 2016-12-21 | 大连理工大学 | Analysis method based on the region parking difficulty or ease index that the open data of Baidu's map are excavated with web data |
CN106528611A (en) * | 2016-09-28 | 2017-03-22 | 西南交通大学 | Analysis method based on internet comment data |
CN106504535A (en) * | 2016-11-30 | 2017-03-15 | 东南大学 | A kind of combination Gravity Models and the trip distribution modeling method of Fratar models |
CN108009972A (en) * | 2017-10-24 | 2018-05-08 | 北京交通大学 | A kind of multimode trip O-D needs estimate methods checked based on multi-source data |
CN107943936A (en) * | 2017-11-23 | 2018-04-20 | 烟台大学 | A kind of construction method of the city space holographic map based on the fusion of multi-source big data |
Non-Patent Citations (4)
Title |
---|
任敏 等: ""基于新浪微博的公交***数据采集及分析"", 《现代电子技术》 * |
华雪东: ""基于供需平衡的多方式交通***出行结构优化研究"", 《中国博士学位论文全文数据库(工程科技Ⅱ辑)》 * |
崔真真 等: ""智慧城市建设中的多源开放数据获取对策"", 《2014(第九届)城市发展与规划大会论文集》 * |
阳建强 等: ""城市更新与功能提升"", 《城市规划》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112199566A (en) * | 2020-09-27 | 2021-01-08 | 成都房联云码科技有限公司 | City update effect evaluation method and system based on real estate big data |
CN112199566B (en) * | 2020-09-27 | 2021-07-30 | 成都房联云码科技有限公司 | City update effect evaluation method and system based on real estate big data |
CN112613662A (en) * | 2020-12-23 | 2021-04-06 | 北京恒达时讯科技股份有限公司 | Highway traffic volume analysis method and device, electronic equipment and storage medium |
CN112613662B (en) * | 2020-12-23 | 2023-11-17 | 北京恒达时讯科技股份有限公司 | Highway traffic analysis method, device, electronic equipment and storage medium |
CN113192321A (en) * | 2021-03-17 | 2021-07-30 | 东南大学 | Traffic demand distribution extraction method for comprehensive land utilization |
CN113611105A (en) * | 2021-07-09 | 2021-11-05 | 东南大学 | Urban traffic travel demand total quantity prediction method |
Also Published As
Publication number | Publication date |
---|---|
CN109035112B (en) | 2021-01-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wen et al. | Polycentric urban structure and housing price in the transitional China: Evidence from Hangzhou | |
CN109035112A (en) | Method and system are determined based on the urban construction and renewal model of multisource data fusion | |
Yan et al. | An ant colony system-based hybrid algorithm for an emergency roadway repair time-space network flow problem | |
Zhang et al. | A distributionally robust optimization model for designing humanitarian relief network with resource reallocation | |
Tsai et al. | The impacts of natural hazards on Taiwan’s tourism industry | |
CN109146155A (en) | Method and system are determined based on the urban transportation trip requirements of multisource data fusion | |
Xie et al. | Research on a diagnostic system of rural vitalization based on development elements in China | |
Samadi Alinia et al. | Tehran’s seismic vulnerability classification using granular computing approach | |
Gao et al. | An agent-based simulation system for evaluating gridding urban management strategies | |
Deflorio | Simulation of requests in demand responsive transport systems | |
Zeydan et al. | A new hybrid decision making approach for housing suitability mapping of an urban area | |
Huseynova et al. | Innovative way of solution of “Smart city” in Azerbaijan–city problems | |
Standiford et al. | Value of oak woodlands and open space on private property values in Southern California | |
Hao | [Retracted] Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration | |
Bao et al. | The specificities and practical applications of Chinese eco-cities | |
Lukovics et al. | Economic impact analysis of the ELI R&D infrastructure and science park | |
Kulakhmetova et al. | Modeling and optimization of socio-economic aspects for the development of tourism | |
Wu et al. | Fire Risk Assessment of Heritage Villages: A Case Study on Chengkan Village in China | |
Ogawa et al. | Estimation of supply chain network disruption of companies across the country affected by the Nankai Trough Earthquake tsunami in Kochi City | |
Ye et al. | A two-stage scheduling method for global humanitarian logistics in large-scale disaster response | |
He et al. | Comprehensive assessment of sustainable tourism-oriented revitalization in a historic district: A case study of Qianmen Area, Beijing, China | |
Cioffi-Revilla et al. | Geographic information systems and spatial agent-based model simulations for sustainable development | |
Bianchi et al. | A sustainable adaptive reuse management model for disused railway cultural heritage to boost local and regional competitiveness | |
Klumbyte et al. | Real estate strategic management model for Lithuanian municipalities | |
VS et al. | Benchmarking sustainability of pilgrimage cities: a case of three cities in Tamil Nadu, India |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20220621 Address after: 210018 No. four archway, 2, Jiangsu, Nanjing Patentee after: Nanjing Southeast University urban planning and Design Institute Co.,Ltd. Address before: 211189 No. 2 Southeast University Road, Jiangning District, Nanjing, Jiangsu Patentee before: SOUTHEAST University |