A competitive space accessibility measurement method based on vehicle flow data and pedestrian flow distribution

Abstract

The present invention discloses a competitive space accessibility measurement method based on vehicle flow data and pedestrian flow distribution, which uses pedestrian flow distribution as the number of accessibility opportunities, vehicle flow data as the impedance attenuation function of accessibility, and takes into account the competition between adjacent nodes, and constructs a spatiotemporal distribution map of competitive space accessibility for the competitive space accessibility between nodes in the urban traffic network. The present invention can intuitively and quantitatively display the complex qualitative competitive space accessibility in the form of a spatiotemporal distribution map through calculation, so as to facilitate the use of traffic planners in traffic planning or commercial facility site selection.

Description

Technical Field

[0001] The present invention relates to the field of geographic information technology, and in particular to a competitive space accessibility measurement method based on vehicle flow data and pedestrian flow distribution. Background Art

[0002] The construction of transportation network is the foundation of urban development. While the construction of urban transportation network generally improves the convenience of spatial connection, it is also constantly redefining the transportation location conditions of each node in the city. Areas with convenient transportation connections in the city tend to be close to each other. How to show the changes in spatiotemporal relationships caused by the decrease in traffic flow impedance has always been a concern of researchers in the field of geographic information science. Spatial accessibility is one of the research hotspots in disciplines such as human geography, urban and rural planning, geo-information science, and transportation economics. It is used to measure the advantages and disadvantages of the location of element entities in space. Spatial accessibility determines the scope and intensity of human activities to a certain extent by affecting people's ability to reach a specific place and the convenience of transportation.

[0003] As people's understanding of the concept of accessibility deepens and the concept of accessibility expands in the field of transportation, accessibility measurement methods have begun to emerge and be continuously improved. However, these existing spatial accessibility measurement methods are based solely on road networks, and do not consider the role of pedestrian distribution and the population capacity of commercial facilities. At the same time, the competition between nodes is not considered in the spatial accessibility measurement; when applied to transportation planning, it may lead to large errors in accessibility measurement, resulting in traffic congestion and idle facilities. When applied to commercial site selection, it may lead to problems such as uneven distribution of pedestrian flow. Summary of the invention

[0004] The present invention aims to address the deficiencies of the above-mentioned prior art and proposes a method for measuring the accessibility of competitive space based on vehicle flow data and pedestrian flow distribution, in order to intuitively and quantitatively display the complex qualitative competitive space accessibility in the form of a spatiotemporal distribution diagram through calculation, thereby facilitating traffic planners to use it in traffic planning or commercial facility site selection.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme:

[0006] The method for measuring the accessibility of competitive space based on vehicle flow data and pedestrian flow distribution of the present invention is characterized in that it comprises the following steps:

[0007] Step 1: GIS software is used to rasterize the traffic network, and the road intersections and commercial facilities in the traffic network are respectively used as nodes, so as to segment the roads in the traffic network with the nodes and generate paths, and the topological structure of the traffic network is established with the topological relationships of node-path, path-grid and node-grid;

[0008] Step 2: Obtain the average traffic flow data v of the path between the i-th node and the j-th node in the traffic network ij ; Obtain the population capacity w and crowd flow distribution data p within the range Δ around all nodes; where Δ represents the distance threshold;

[0009] Step 3: Simulate the traffic conditions between transportation networks and calculate the accessibility of competitive space;

[0010] Step 4: Based on the calculation results of the competitive spatial accessibility, a spatiotemporal distribution map is constructed, and the connection between multiple competitive spatial accessibility analysis nodes and natural landforms is measured using the spatiotemporal distribution map.

[0011] The method for measuring the accessibility of competitive space based on vehicle flow data and pedestrian flow distribution according to the present invention is also characterized in that step 2 comprises:

[0012] Step 2.1: Use formula (1) to obtain the utility of the sth path from the i-th node to the j-th node: and the probability of being selected

[0013]

[0014] In formula (1), s ij is the set of paths from the ith node to the jth node, |s ij | is the number of paths from the i-th node to the j-th node, is the traffic flow of the sth path from the i-th node to the j-th node, and δ is a constant parameter;

[0015] Using formula (2), we can get the average traffic flow data v of all paths between the i-th node and the j-th node in the traffic network: ij :

[0016]

[0017] In step 3, the competitive space reachability A of the i-th node is calculated using formula (3): i :

[0018]

[0019] In formula (3), p j is the distribution data of the flow of people within the range of Δ around the jth node, I represents the node set corresponding to the i-th node of the desired accessibility, J represents the node set connected to the i-th node of the desired accessibility, f(·) is the attenuation function of the traffic flow, and is determined by formula (4), comp j is the competition factor of the jth node and is obtained by equation (5);

[0020]

[0021] In formula (4), A j represents the competitive space reachability of the jth node, w j is the population accommodation data within the range Δ around the jth node;

[0022]

[0023] In formula (5), w k is the population accommodation data within the range of Δ around the kth node; v jk represents the average traffic flow data of all paths between the jth node and the kth node; K represents the set of nodes that compete with the i-th node for the desired accessibility relative to the j-th node.

[0024] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0025] The present invention adopts a competitive space accessibility measurement method based on vehicle flow data and pedestrian flow distribution, takes into account vehicle flow impedance and the scope of human activities, and takes into account the competition between nodes, redefines the traffic location conditions of each node in the city, overcomes the problems in the prior art that may cause large errors in accessibility measurement when applied to traffic planning, thereby leading to traffic congestion and idle facilities, and may cause uneven distribution of pedestrian flow when applied to commercial site selection, so as to make the measurement result of accessibility more accurate and reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a flow chart of a competitive space accessibility measurement method based on vehicle flow data and pedestrian flow distribution. DETAILED DESCRIPTION

[0027] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, specific embodiments of the present invention are now described in detail with reference to the accompanying drawings.

[0028] like Figure 1 As shown in the figure, a competitive space accessibility measurement method based on traffic data and pedestrian flow distribution makes up for the deficiency of not considering the competition between nodes in spatial accessibility measurement. At the same time, considering the role of pedestrian flow distribution and the population capacity of commercial facilities, the complex qualitative competitive space accessibility is calculated according to the following steps:

[0029] Step 1: Use GIS software to rasterize the traffic network, and use the road intersections and commercial facilities in the traffic network as nodes, so as to segment the roads in the traffic network with nodes and generate paths, and establish the topological structure of the traffic network with the topological relationships of node-path, path-grid and node-grid;

[0030] Step 2: Obtain the average traffic flow data v of the path between the i-th node and the j-th node in the traffic network ij ; Obtain the population capacity data w and the flow distribution data p within the range Δ around all nodes; where Δ represents the distance threshold;

[0031] Step 2.1: There are usually multiple paths between the ith node and the jth node. The utility of a path is directly determined by the traffic volume of the path. A lower traffic volume on a path usually means a higher utility of the path. Using formula (1), we can get the utility of the sth path from the ith node to the jth node: and the probability of being selected

[0032]

[0033] In formula (1), s ij is the set of paths from the ith node to the jth node, |s ij | is the number of paths from the i-th node to the j-th node, is the traffic flow of the sth path from the i-th node to the j-th node, and δ is a constant parameter;

[0034] Step 2.2: In order to avoid large-scale congestion caused by the shortest path for all passengers, the most reasonable state is to adopt the system optimal strategy and use formula (2) to obtain the average traffic data v of all paths between the i-th node and the j-th node in the traffic network: ij :

[0035]

[0036] Step 3: Simulate the traffic conditions between transportation networks and calculate the accessibility of competitive space;

[0037] Use formula (3) to calculate the competitive space reachability A of the i-th node i :

[0038]

[0039] In formula (3), p jis the distribution data of the flow of people within the range of Δ around the jth node, I represents the set of nodes corresponding to the i-th node of the desired accessibility, J represents the set of nodes connected to the i-th node of the desired accessibility, f(·) is the decay function of the vehicle flow, where the i-th node and the j-th node need to balance the inflow and outflow of the nodes, and the accessibility of the two places is solved jointly and determined by formula (4), comp j is the competition factor of the jth node and is obtained by equation (5);

[0040]

[0041] In formula (4), A j represents the competitive space reachability of the jth node, w j is the population accommodation data within the range Δ around the jth node;

[0042]

[0043] In formula (5), w k is the population accommodation data within the range of Δ around the kth node; v jk represents the average traffic flow data of all paths between the jth node and the kth node; K represents the set of nodes that compete with the i-th node for the desired accessibility relative to the j-th node.

[0044] Step 4: Based on the calculation results of competitive spatial accessibility, construct a spatiotemporal distribution map, and use the spatiotemporal distribution map to measure the connection between multiple competitive spatial accessibility analysis nodes and natural landforms.

Claims

1. A competitive space accessibility measurement method based on vehicle flow data and pedestrian flow distribution, characterized in that: The following steps are involved: Step 1: GIS software is used to rasterize the traffic network, and the road intersections and commercial facilities in the traffic network are respectively used as nodes, so as to segment the roads in the traffic network with the nodes and generate paths, and the topological structure of the traffic network is established with the topological relationships of node-path, path-grid and node-grid; Step 2: Obtain the average traffic flow data for the path between the i-th node and the j-th node in the traffic network ; Get all nodes around The population capacity w and the flow distribution data p within the range; Indicates the distance threshold; Step 2.1: Use formula (1) to obtain the utility of the sth path from the i-th node to the j-th node: and the probability of being selected : (1) In formula (1), is the set of paths from the i-th node to the j-th node, is the number of paths from the ith node to the jth node, is the traffic flow of the sth path from the i-th node to the j-th node, is a constant parameter; Using formula (2), we can get the average traffic flow data of all paths between the i-th node and the j-th node in the traffic network: : (2) Step 3: Simulate the traffic conditions between traffic networks and calculate the competitive space accessibility of the i-th node using formula (3): : (3) In formula (3), p j is the surrounding of the jth node The distribution data of people flow within the range, I represents the node set corresponding to the i-th node of the desired reachability, and J represents the node set connected to the i-th node of the desired reachability. is the attenuation function of the traffic flow and is determined by equation (4). is the competition factor of the jth node and is obtained by equation (5); (4) In formula (4), represents the contention space reachability of the jth node, is the surrounding of the jth node Population accommodation data within the area; (5) In formula (5), is the surrounding of the kth node Population accommodation data within the area; represents the average traffic flow data of all paths between the jth node and the kth node; K represents the set of nodes that compete with the i-th node for the desired accessibility relative to the j-th node.

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