CN113409570B - Method for evaluating physical traffic accessibility - Google Patents

Method for evaluating physical traffic accessibility Download PDF

Info

Publication number
CN113409570B
CN113409570B CN202110464745.3A CN202110464745A CN113409570B CN 113409570 B CN113409570 B CN 113409570B CN 202110464745 A CN202110464745 A CN 202110464745A CN 113409570 B CN113409570 B CN 113409570B
Authority
CN
China
Prior art keywords
cells
cell
circle
area
evaluation
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.)
Active
Application number
CN202110464745.3A
Other languages
Chinese (zh)
Other versions
CN113409570A (en
Inventor
张涵双
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Tongji Urban Planning & Design Institute Co ltd
Original Assignee
Shanghai Tongji Urban Planning & Design Institute Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shanghai Tongji Urban Planning & Design Institute Co ltd filed Critical Shanghai Tongji Urban Planning & Design Institute Co ltd
Priority to CN202110464745.3A priority Critical patent/CN113409570B/en
Publication of CN113409570A publication Critical patent/CN113409570A/en
Application granted granted Critical
Publication of CN113409570B publication Critical patent/CN113409570B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications

Landscapes

  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a physical transportation accessibility assessment method, which comprises the following steps: dividing a research area into an evaluation area S and a peripheral area W, and dividing a plurality of cells; determining the number and the serial number of cells contained in an evaluation area S and a peripheral area W; determining a weight coefficient of a cell; determining a physical transportation mode and threshold time T of the road time; determining a line distance r; selecting a cell in the evaluation area S as a circle center to generate a trip circle; counting the number of cells and the cell number contained in the trip circle; calculating the number of cells and the cell number which can be reached through the shortest path within threshold time T according to the path network information and the average speed corresponding to the physical transportation mode; and calculating to obtain the reachability index of the cell as the center of the circle. The method for evaluating the physical transportation accessibility can help researchers comprehensively and consistently evaluate, compare or research the physical transportation accessibility or the convenience degree of different areas.

Description

Method for evaluating reachability of physical transportation
Technical Field
The invention relates to the evaluation of traffic accessibility of different regions in an area, in particular to a physical traffic accessibility evaluation method.
Background
Physical transportation refers to land travel transportation adopting a manpower driving mode such as walking or a bicycle. The bicycle refers to a pedal bicycle driven by manpower, and does not comprise a booster.
However, there is a lack of a solution in the prior art that can help researchers comprehensively and consistently assess, compare, or study physical traffic accessibility or the degree of convenience in different areas. Due to the lack of related solutions, quantitative decision analysis basis is often lacked when physical transportation network planning or planning and designing of urban slow-moving systems and the like are carried out at present. Making better public decisions is not facilitated.
Therefore, there is a need for a method for evaluating the accessibility of physical transportation to make up for the above-mentioned deficiencies of the prior art.
Disclosure of Invention
The invention aims to solve the technical problem that a novel method for evaluating physical traffic accessibility is provided in order to overcome the defect that a solution which can help researchers comprehensively and consistently evaluate, compare or research physical traffic accessibility or convenience degrees in different areas is lacked in the prior art, so that the urban and rural planning design is not considered enough in the aspect of a slow-moving network.
The invention solves the technical problems by adopting the following technical scheme in a research area where a physical traffic path network can be obtained:
the invention provides a physical transportation accessibility assessment method, which comprises the following steps:
dividing a research area into an evaluation area S and a peripheral area W, determining a boundary line of the evaluation area S, and dividing areas in which people exist and need to exist in the evaluation area S and the peripheral area W into a plurality of cells, wherein the boundary line does not cross any cell, the cell contained in the evaluation area S is defined as a cell needing evaluation, and the cell contained in the peripheral area W is defined as a cell participating in evaluation;
step two, determining the number M of cells contained in the evaluation area S S And cell number i, and the number of cells M contained in the peripheral zone W W And a cell number k.
Determining the weight coefficient and the number of the cell, wherein the number of the weight coefficient is the same as the number of the corresponding cell;
determining a physical transportation mode aimed at evaluation, and setting a threshold time T of the road time corresponding to the physical transportation mode;
step five, determining a row distance r, which is defined as the product of the average speed corresponding to the physical transportation mode and a threshold time T;
step six, selecting a cell i in the evaluation area S 0 (i 0 A certain number of i) as the center of the circle, and taking the travel distance r as the radius to generate i with a circumference line as the side 0 A trip circle;
step seven, counting the number and the serial number of the cells contained in the trip circle, wherein the cells contained in the trip circle are defined as the cells with the cell center points within the circumference of the trip circle;
step eight, acquiring path network information in the travel circle, calculating according to the path network information and the average speed corresponding to the physical transportation mode, starting from the cell at the center of the circle, enabling the path with the shortest distance to reach other cells, and dividing the distance from the shortest path to the other cells by the average speed of the physical transportation mode to obtain the time required for reaching the other cells, or acquiring the time for the cell at the center of the circle to reach the physical transportation mode of the other cells through online map service, and then counting the number of the cells which can reach within a threshold time T and the number of the cells;
and step nine, calculating the accessibility index of the cell serving as the circle center according to the result data obtained in the step eight and by combining the weight coefficient of the cell determined in the step three.
According to some embodiments of the invention, the method of assessing further comprises:
and repeating the sixth step to the ninth step until all cells in the evaluation area S are traversed, and then obtaining the overall reachability of the evaluation area S based on the ratio of the number of weighted cells reachable by the travel circle of all the cells in the evaluation area S to the number of all weighted cells of the travel circle.
According to some embodiments of the invention, in step three, the weight coefficient of the cell is determined based on part or all of the room rate, the house rental rate, the population density, the living condition information, the business condition information, the available service information, and the employment information of the district where the cell is located. If the factor is ignored, the weight coefficient may be set to 1.0.
According to some embodiments of the invention, in step four, the default value of the threshold time T is set in the range of 5 minutes to 30 minutes.
According to some embodiments of the invention, the physical mode of transportation determined in step four comprises walking, cycling; and the number of the first and second electrodes,
and step five, setting default values of the average speed for walking and bicycles, or calculating the average speed value based on the measured path distance and time of the physical transportation mode provided by the online map service.
According to some embodiments of the invention, in step seven, i is counted 0 When the cell number and the cell number contained in the circle are moved, the following two situations are divided:
in case one, all cells contained in the trip circle are located in the evaluation zone S, the cell number contained in the trip circle directly adopts the cell number of the evaluation zone S, and the number of the cells is
Figure GDA0003888735040000031
In case two, when a part of cells included in the trip circle are in the peripheral area W, the cell number i of the evaluation area S is adopted by the cell in the evaluation area S, the cell number k of the peripheral area W is adopted by the cell in the peripheral area W, and the number of the cells included in the trip circle and belonging to the evaluation area S is respectively counted
Figure GDA0003888735040000032
And the number of cells belonging to the peripheral area W
Figure GDA0003888735040000033
According to some embodiments of the present invention, one cell i as a circle center of a trip circle is calculated based on the following formula (1) and formula (2) 0 ∈M S The reachability index of (2), wherein the number of arriving weighted cells
Figure GDA0003888735040000034
Is defined by the following formula (1),
Figure GDA0003888735040000035
in formula (1)
Figure GDA0003888735040000036
And
Figure GDA0003888735040000037
the following definitions apply:
Figure GDA0003888735040000038
Figure GDA0003888735040000039
and, the number of weighted cells reachable within the circle is calculated according to the following formula (2)
Figure GDA00038887350400000310
Number of weighted cells occupying all of the circle
Figure GDA0003888735040000041
Specific gravity of
Figure GDA0003888735040000042
As a starting cell i 0 The reachability index of (a) is set,
Figure GDA0003888735040000043
wherein
Figure GDA0003888735040000044
In the formula, b i For the weight coefficient of i numbered cells in the evaluation zone S, i belongs to M S And b is k Numbering the weight coefficients of the cells for k in the peripheral zone W, k being M W
The above-mentioned weighted cell count means the equivalent cell count obtained by assigning a weight coefficient to a cell, and if there is a cell, the cell corresponds to 1.5 cell counts and some cells correspond to only 0.5 cell counts.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows:
according to the assessment method for the physical transportation accessibility, the researchers can be helped to comprehensively and consistently assess, compare or research the physical transportation accessibility or the convenience degree of different areas, and therefore better public decisions can be made in an auxiliary mode.
Drawings
Fig. 1 is a flowchart illustrating a method for evaluating physical transportation reachability according to a preferred embodiment of the present invention.
Detailed Description
The following detailed description of the preferred embodiments of the present invention is provided in connection with the accompanying drawings, and the following description is intended to be exemplary, not limiting, and any other similar cases will fall within the scope of the present invention.
In the following detailed description, directional terms, such as "left", "right", "upper", "lower", "front", "rear", and the like, are used with reference to the orientation as illustrated in the drawings. Components of embodiments of the present invention may be positioned in a number of different orientations, and the directional terminology is used for purposes of illustration and is in no way limiting.
The method of assessing physical traffic accessibility according to a preferred embodiment of the invention may be used to conduct an assessment for a study area where physical traffic activity is present.
As shown in fig. 1, the evaluation method includes the steps of:
dividing a research area into an evaluation area S and a peripheral area W, determining a boundary line of the evaluation area S, and dividing the evaluation area S and the peripheral area W into a plurality of cells, wherein the boundary line does not cross any cell, the cell contained in the evaluation area S is defined as a cell needing evaluation, and the cell contained in the peripheral area W is defined as a cell participating in evaluation;
step two, determining the number M of cells contained in the evaluation area S S And cell number i, and the number of cells M contained in the peripheral zone W W And a cell number k;
determining a weight coefficient and a number of the cell, wherein the number of the weight coefficient is the same as the number of the corresponding cell;
determining a physical transportation mode aimed at evaluation, and setting a threshold time T of the road time corresponding to the physical transportation mode;
step five, determining a row distance r which is defined as the product of the average speed corresponding to the physical transportation mode and the threshold time T;
step six, selecting a cell i in the evaluation area S 0 Taking the travel distance r as a radius as a circle center, thereby generating i taking a circumferential line as a side 0 A trip circle;
step seven, counting the number and the serial number of the cells contained in the trip circle, wherein the cells contained in the trip circle are defined as the cells with the cell center points within the circumference of the trip circle;
step eight, acquiring path network information in the travel circle, calculating according to the path network information and the average speed corresponding to the physical transportation mode, starting from the cell at the center of the circle, enabling the path with the shortest distance to reach other cells, and dividing the distance from the shortest path to the other cells by the average speed of the physical transportation mode to obtain the time required for reaching the other cells, or acquiring the time for the cell at the center of the circle to reach the physical transportation mode of the other cells through online map service, and then counting the number of the cells which can reach within a threshold time T and the number of the cells;
step nine, according to the result data obtained in the step eight, combining the weight coefficient of the cell determined in the step three, calculating to obtain a cell i as the center of a circle 0 The reachability index of (2).
According to some preferred embodiments of the invention, the method of evaluating further comprises:
and repeatedly executing the sixth step to the ninth step until all cells in the evaluation area S are traversed, and then obtaining the overall reachability of the evaluation area S based on the ratio of the number of weighted cells reachable by the trip circle of all cells in the evaluation area S to the number of all weighted cells of the trip circle, that is, the step ten shown in the figure.
Therein, it is understood that there is accessibility to traffic. Reachability can be understood as the range of regions that can be reached under the constraint of the travel time threshold T, with greater ranges being better reachability. Physical traffic due to body force limitations, the travel range is limited to the areas within the circle that need to be reached, and the best accessibility is achieved if all these areas within the circle can be reached within a threshold time.
In the physical traffic accessibility evaluation, the area of study is divided into an evaluation zone S and a peripheral zone W outside the evaluation zone S. In S region, there is M S The number i belongs to the M S (ii) a In W region has M W A cell for auxiliary evaluation is endowed with a number k belonging to M W . Physical transportation modeWith a suitable travel distance r, usually within 2km for walking, and within 5km for pedaling, most people feel tired even further. For evaluation, a physical transportation mode is selected in zone S, and a cell i is selected 0 ∈M S As a center, a circular range with r distance as radius is drawn to form i 0 And (4) going out of the circle, and completely enclosing the cells with the cell center points within the circumference line. Because the district of starting out is in the centre of a circle of going out to radius distance r = physical transportation mode speed x threshold value time T, the district of starting out only can satisfy the restriction of journey time to the edge of going out circle with straight-line distance like this, consequently, the circle of going out sets up the highest reachability target that can reach in the threshold value time for the district of starting out in fact.
Circle of travel is due to central cell i 0 The positional relationship may be entirely in the S-zone, or may be across the S-zone and the W-zone near the boundary of the S-zone. When all cells in the traveling circle are S cells, the number of the cells in the circle is
Figure GDA0003888735040000061
The cell adopts a cell number i of an S cell; when a traveling circle has W cells, the number of the cells in the circle is
Figure GDA0003888735040000062
And the cell in the intersection of the trip circle and the S area adopts the cell number i of the S area, and the cell in the intersection of the trip circle and the W area adopts the cell number k of the W area.
According to some preferred embodiments of the present invention, in step three, the weight coefficient of the cell is determined based on part or all of the room price, the house rental price, the population density, the living condition information, the business condition information, the available service information, and the employment information of the section where the cell is located. If the factor is ignored, the weight coefficient may be set to 1.0.
It will be appreciated that the preferred embodiment described above is based on the recognition that accessibility is also an opportunity to gain value. The value of the cells may vary due to differences in residential, commercial, service, employment, etc. of the segment in which each cell is located. Such differential acquisition of cell valuesExpressed in terms of weighting factors, the higher the value the greater the weighting factor. Let b i Weight coefficient of i cell of S cell, i belongs to M S ;b k Is the weight coefficient of the k cells of the W area, k belongs to M W . Thus, reaching a high weight cell is equivalent to reaching a high value cell. When the number of arriving cells is the same, the number of arriving high-value cells is large, and the chance of obtaining value is high.
According to some preferred embodiments of the present invention, in step seven, i is counted 0 When the cell number and the cell number contained in the circle are moved, the following two situations are divided:
in case one, all cells contained in the trip circle are located in the evaluation zone S, the cell number contained in the trip circle directly adopts the cell number of the evaluation zone S, and the number of the cells is
Figure GDA0003888735040000071
In case two, when a part of cells included in the trip circle are in the peripheral area W, the cell number i of the evaluation area S is adopted by the cell in the evaluation area S, the cell number k of the peripheral area W is adopted by the cell in the peripheral area W, and the number of the cells included in the trip circle and belonging to the evaluation area S is respectively counted
Figure GDA0003888735040000072
And the number of cells belonging to the peripheral area W
Figure GDA0003888735040000073
According to some preferred embodiments of the present invention, one cell i as a center of a circle of travel is calculated based on the following formula (1) and formula (2) 0 ∈M S Of the reachability index, wherein
Figure GDA0003888735040000074
In formula (1)
Figure GDA0003888735040000075
And
Figure GDA0003888735040000076
the following definitions are used:
Figure GDA0003888735040000077
Figure GDA0003888735040000078
and, the number of weighted cells reachable within the circle is calculated according to the following formula (2)
Figure GDA0003888735040000079
Number of weighted cells occupying all of the circle
Figure GDA00038887350400000710
Specific gravity of
Figure GDA00038887350400000711
As a starting cell i 0 The index of the reachability of (a) is,
Figure GDA00038887350400000712
wherein
Figure GDA0003888735040000081
In the formula, b i For the weight coefficient of i numbered cells in the evaluation zone S, i belongs to M S And b is a k Numbering the weight coefficients of the cells for k in the peripheral zone W, k being M W
It should be understood that the above-mentioned weighted cell number refers to the equivalent cell number after the cells are given the weight coefficients, and if there are cells, the number of the cells is 1.5, and if there are cells, the number of the cells is only 0.5.
The above preferred embodiment is explained below with the idea of mathematical modeling.
Expressed by a mathematical model, imagine i from within the evaluation zone S 0 ∈M S Starting from a cell, forming a cell with i 0 I with cell as center and r distance as radius 0 The travel circle is a physical transportation mode, and the number of weighted cells in the circle can be reached within the T threshold value time is
Figure GDA0003888735040000082
Namely that
Figure GDA0003888735040000083
Wherein i belongs to the S area cell number in the intersection of the trip circle or the trip circle and the S area, k belongs to the W area cell number in the intersection of the trip circle and the W area, and
Figure GDA0003888735040000084
Figure GDA0003888735040000085
normalizing the result, and counting the number of the reachable weighted cells in the circle within the time T
Figure GDA0003888735040000086
Number of weighted cells occupying all of the circle
Figure GDA0003888735040000087
Specific gravity of
Figure GDA0003888735040000088
As a starting cell i 0 Of accessibility, i.e.
Figure GDA0003888735040000089
Wherein
Figure GDA00038887350400000810
After the reachability indexes of all cells in the S area are calculated in a traversing mode, the ratio of the number of weighted cells reachable by the trip circle of all the cells in the S area to the number of weighted cells of the trip circle is calculated to obtain the reachability index of the whole evaluation area
Figure GDA0003888735040000091
Namely, it is
Figure GDA0003888735040000092
Wherein
Figure GDA0003888735040000093
The formula (3) balances the scale difference of the areas needing to be reached in all travel circles, so that the scale of the areas is positively correlated with the contribution degree of the total accessibility index, and the larger the scale is, the larger the influence is. The reachability index values of the cells and the evaluation zones are between 0 and 100 percent, and the higher the index is, the better the reachability is.
The above-mentioned weighted cell count is the equivalent cell count of the cell given the weight coefficient, and some cells correspond to 1.5 cell counts and some cells correspond to 0.5 cell counts.
Therefore, by means of the physical transportation mode, the threshold time T and the travel distance radius r, the starting place traverses all the cells of the evaluation area, and the reachability indexes of the cells and the whole evaluation area can be obtained. By comparing indexes, the advantages and the defects of each cell unit on physical transportation can be analyzed.
According to some preferred embodiments of the invention, in step four, the default value of the threshold time T is set in the range of 5 minutes to 30 minutes.
According to some preferred embodiments of the invention, the physical mode of transportation determined in step four includes walking, cycling; and the number of the first and second electrodes,
and step five, setting default values of the average speed for walking and bicycles, or using average speed values obtained based on measured or calculated map service data, such as walking default value of 4km/h and bicycle default value of 8km/h.
According to the assessment method for the accessibility of the physical transportation, provided by the invention, a quantitative and objective assessment method for the physical transportation in different areas is provided, so that researchers can be helped to comprehensively and consistently assess, compare or research the accessibility or convenience degree of the physical transportation in different areas, and better public decisions can be assisted. For example, when planning and designing a walking system, a bicycle lane system, or the like, researchers can use the above-described evaluation method for physical transportation accessibility, which is beneficial to comprehensively and objectively consider the accessibility and convenience of physical transportation modes in each area and perform comparative analysis of different areas.
While specific embodiments of the invention have been described above, it will be understood by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes or modifications may be made to the embodiments by those skilled in the art without departing from the principle and spirit of the invention, and such changes and modifications are intended to be included within the scope of the invention.

Claims (5)

1. An assessment method of physical transportation accessibility for conducting an assessment for a study area in which physical transportation activity is present, the assessment method comprising:
dividing a research area into an evaluation area S and a peripheral area W, determining a boundary line of the evaluation area S, and dividing areas in which people exist and need to exist in the evaluation area S and the peripheral area W into a plurality of cells, wherein the boundary line does not cross any cell, the cell contained in the evaluation area S is defined as a cell needing evaluation, and the cell contained in the peripheral area W is defined as a cell participating in evaluation;
step two, determining the number M of cells contained in the evaluation area S S And cell number i, and the number of cells M contained in the peripheral zone W W And a cell number k;
determining a weight coefficient and a number of the cell, wherein the number of the weight coefficient is the same as the number of the corresponding cell;
determining a physical transportation mode aimed at evaluation, and setting a threshold time T of a road time corresponding to the physical transportation mode;
step five, determining a row distance r, which is defined as the product of the average speed corresponding to the physical transportation mode and a threshold time T;
step six, selecting a cell i in the evaluation area S 0 As the circle center, the travel distance r is taken as the radius, thereby generating an i taking the circumference as the side 0 A trip circle;
step seven, counting the number and the serial number of the cells contained in the trip circle, wherein the cells contained in the trip circle are defined as the cells with the cell center points within the circumference of the trip circle, and counting i 0 When the cell number and the cell number contained in the trip circle are reached, the following two situations are divided:
in case one, all cells contained in the trip circle are located in the evaluation zone S, the cell number contained in the trip circle directly adopts the cell number of the evaluation zone S, and the number of the cells is
Figure FDA0003888735030000011
In case two, when a part of cells included in the trip circle are in the peripheral area W, the cell number i of the evaluation area S is adopted by the cell in the evaluation area S, the cell number k of the peripheral area W is adopted by the cell in the peripheral area W, and the number of the cells included in the trip circle and belonging to the evaluation area S is respectively counted
Figure FDA0003888735030000012
And the number of cells belonging to the peripheral zone W
Figure FDA0003888735030000013
Step eight, acquiring path network information in a travel circle, calculating according to the path network information and average speed corresponding to physical transportation modes, starting from a cell at the center of the circle, traveling a path with the shortest distance to other cells, and dividing the distance from the shortest path to other cells by the average speed of the physical transportation modes to obtain the time required for the shortest path to reach other cells, or acquiring the time for the circle center cell to reach other cells by using an online map service, and then counting the number of cells which can reach within a threshold time T and the number of cells;
step nine, according to the data of the statistical result obtained in the step eight, combining the weight coefficient of the cell determined in the step three, calculating to obtain a cell i as the center of a circle 0 Wherein one cell i as the center of the circle of travel is calculated based on the following formula (1) and formula (2) 0 Of the reachability index, wherein
Figure FDA0003888735030000021
In formula (1)
Figure FDA0003888735030000022
And
Figure FDA0003888735030000023
the following definitions apply:
Figure FDA0003888735030000024
Figure FDA0003888735030000025
and, the number of weighted cells reachable within the circle is calculated according to the following formula (2)
Figure FDA0003888735030000026
Number of weighted cells occupying all of the circle
Figure FDA0003888735030000027
Specific gravity of
Figure FDA0003888735030000028
As a starting cell i 0 Reachability index of (2), in the following formula
Figure FDA0003888735030000029
Wherein
Figure FDA00038887350300000210
In the above formula, b i For the weight coefficient of i numbered cells in the evaluation zone S, i belongs to M S And b is a k Numbering the weight coefficients of the cells for k in the peripheral zone W, k being M W After the reachability indexes of all cells in the S area are calculated in a traversing mode, the ratio of the number of weighted cells which can be reached by the trip circle of all the cells in the S area to the number of weighted cells of the trip circle is calculated to obtain the reachability index of the whole evaluation area
Figure FDA00038887350300000211
Namely that
Figure FDA0003888735030000031
Wherein
Figure FDA0003888735030000032
2. The evaluation method of claim 1, wherein the evaluation method further comprises:
and repeating the sixth step to the ninth step until all cells in the evaluation area S are traversed, and then calculating the ratio of the number of weighted cells which can be reached by the trip circle of all the cells in the S area to the number of weighted cells of the trip circle to obtain the overall reachability of the evaluation area S.
3. The evaluation method according to claim 1, wherein in step three, the weight coefficient of the cell is determined based on part or all of a house price, a house rental price, population density, living condition information, business condition information, available service information, employment information of a district in which the cell is located.
4. The evaluation method according to claim 1, wherein in step four, the default value of the threshold time T is set in the range of 5 minutes to 30 minutes.
5. The assessment method according to claim 1, wherein the physical transportation means determined in step four comprises walking, cycling; and the number of the first and second electrodes,
and step five, setting the average speed for walking and bicycles by using default values or average speed values calculated based on measured or map service data.
CN202110464745.3A 2021-04-27 2021-04-27 Method for evaluating physical traffic accessibility Active CN113409570B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110464745.3A CN113409570B (en) 2021-04-27 2021-04-27 Method for evaluating physical traffic accessibility

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110464745.3A CN113409570B (en) 2021-04-27 2021-04-27 Method for evaluating physical traffic accessibility

Publications (2)

Publication Number Publication Date
CN113409570A CN113409570A (en) 2021-09-17
CN113409570B true CN113409570B (en) 2022-11-18

Family

ID=77678070

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110464745.3A Active CN113409570B (en) 2021-04-27 2021-04-27 Method for evaluating physical traffic accessibility

Country Status (1)

Country Link
CN (1) CN113409570B (en)

Family Cites Families (18)

* Cited by examiner, † Cited by third party
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
CN102147890A (en) * 2011-04-11 2011-08-10 复旦大学 Decision support method and system for urban land use and traffic integrated planning
US10365112B2 (en) * 2015-03-31 2019-07-30 Here Global B.V. Method and apparatus for providing a route forecast user interface
CN105389631B (en) * 2015-11-16 2019-03-29 广州地理研究所 More Sea-Crossing Passage distributed areas traffic accessibility analysis methods
CN105787586A (en) * 2016-02-23 2016-07-20 中山大学 Bus line station optimal arrangement method maximizing space-time reachability
DE102016012139A1 (en) * 2016-10-10 2018-04-12 Niveen Raafat Adib Ghattas Toolbox for Sustainability Analysis of Land Use (A Toolbox for the Evaluation of the Land Use Structure of Small Urban Residential Areas)
US10902445B2 (en) * 2017-11-13 2021-01-26 International Business Machines Corporation Location evaluation
CN108520354B (en) * 2018-04-09 2022-09-09 江苏省城镇化和城乡规划研究中心 Multi-point traffic composite reachability analysis method
CN109165772A (en) * 2018-07-25 2019-01-08 深圳大图科创技术开发有限公司 A kind of intelligent city's traffic system
CN109508828B (en) * 2018-11-15 2021-04-23 河南城建学院 Method for determining travel distance in area
CN109978224B (en) * 2019-01-14 2022-09-02 南京大学 Method for analyzing and acquiring traffic trip rates of buildings with different properties
CN110110902B (en) * 2019-04-16 2021-03-23 东南大学 Accessibility measuring and calculating method for shared bicycle connection rail transit station
CN110705848B (en) * 2019-09-18 2022-10-18 交通运输部公路科学研究所 Comprehensive traffic service evaluation method and device based on individual trip chain
CN111126678B (en) * 2019-12-09 2023-03-31 深圳市市政设计研究院有限公司 Traffic generation prediction method based on big data
CN111540195B (en) * 2020-03-23 2021-12-31 上海同济城市规划设计研究院有限公司 Regional traffic reachability evaluation method based on traffic big data
CN111581315B (en) * 2020-04-30 2023-07-14 南京数城未来信息科技有限公司 Public service facility reachability calculation method and device
CN111932084A (en) * 2020-07-15 2020-11-13 江苏大学 System for assessing accessibility of urban public transport
CN112348344B (en) * 2020-10-30 2022-09-06 天津市赛英工程建设咨询管理有限公司 Public transport reachable index calculation method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于公交可达性绩效的武汉市;刘冰等;《城市规划学刊》;20171231;全文 *
基于效用模型的城市区域交通可达性研究;马书红等;《重庆交通大学学报(自然科学版)》;20170619(第05期);全文 *

Also Published As

Publication number Publication date
CN113409570A (en) 2021-09-17

Similar Documents

Publication Publication Date Title
CN109686090B (en) Virtual traffic flow calculation method based on multi-source data fusion
Zong et al. Understanding parking decisions with structural equation modeling
CN108492557A (en) Highway jam level judgment method based on multi-model fusion
CN106777169A (en) A kind of user's trip hobby analysis method based on car networking data
CN104537597A (en) A technical method of diagnosing rationality of city spatial patterns
CN111063204B (en) Expressway vehicle speed prediction model training method based on toll station flow
CN107832779A (en) Track station classification system
CN110889086B (en) Method for evaluating influence of shared electric leasing automobile on urban automobile exhaust emission
CN109489679A (en) A kind of arrival time calculation method in guidance path
CN110867075B (en) Method for evaluating influence of road speed meter on reaction behavior of driver under rainy condition
CN111582601A (en) Bus station site selection method and device
CN115115171A (en) Method for evaluating service quality of expressway service area
CN113409570B (en) Method for evaluating physical traffic accessibility
Huo et al. Using fuzzy clustering of user perception to determine the number of level-of-service categories for bus rapid transit
CN110704789B (en) Population dynamic measurement and calculation method and system based on 'urban superconcephalon' computing platform
CN117218836A (en) Urban planning project comprehensive management information platform based on smart city
CN114255596B (en) Parking lot parking space recommendation system and method based on big data
CN106127419A (en) A kind of construction project decision system based on group decision and decision method
CN115713206A (en) Bus individual trip decision model
CN112801482B (en) Data-driven non-motor vehicle riding suitability evaluation system
Chatterjee et al. Level of service criteria on Indian multilane highways based on platoon characteristics
Dodeen Developing trip generation models utilizing linear regression analysis: Jericho City as a Case Study
Laviolette et al. A kilometer or a mile? Does buffer size matter when it comes to car ownership?
CN111785024B (en) Urban vehicle working condition construction method based on regions and time domains
CN113947245A (en) Multi-passenger multi-driver sharing matching method and system based on order accumulation

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