Urban road spatial structure evaluation method and device based on integration and saturation

Abstract

The present invention provides a method and device for evaluating the spatial structure of urban roads that integrates integration and saturation. The method includes: selecting a proposed study area whose intelligence meets a specific value as the study area; dividing the study area into N small areas, and obtaining the OD traffic volume distribution matrix of the N small areas; expanding the OD traffic volume distribution matrix by different multiples, and obtaining the saturation and integration after each expansion; generating a scatter plot of the integration and saturation after each expansion, analyzing the changing law of the coupling relationship between the integration and saturation through the scatter plot, and then combining the operation characteristics of the road traffic flow, selecting a suitable mathematical model to construct a model of the relationship between the integration and saturation. By loading the OD traffic volume step by step, finding the coupling relationship between the integration and saturation to construct a model, taking the integration of space syntax as an input variable, and taking the saturation as a predicted output, a new road space structure rationality evaluation method for the urban planning stage is established.

Description

Technical Field

[0001] This document relates to the technical field of traffic flow characteristics, and in particular to a method and device for evaluating the spatial structure of urban roads that integrates integration and saturation. Background Art

[0002] The urban traffic system is complex. Based on a large amount of traffic flow data, people have conducted a lot of research on the operation rules of traffic flow, the generation and evacuation mechanism of traffic congestion, and strive to ensure the smooth operation of the urban road system. In these studies, many parameters used to describe traffic flow characteristics have been proposed and widely used, such as traffic volume, capacity, saturation, etc.

[0003] Urban planning is the premise to ensure smooth urban traffic. After the planning is implemented, the traffic capacity of the road system, the traffic capacity that can be accommodated, the saturation of road traffic operation, etc. These traffic flow parameters are also important indicators for evaluating the effect of urban planning. However, in the urban planning stage, all facilities have not been built, and the traffic flow characteristics on the road are even more difficult to estimate. For this reason, space syntax is generally used in the urban planning stage to describe the rationality of the spatial structure of the road system. Space syntax is a theory and method that studies the relationship between spatial organization and human society by quantitatively describing the spatial structure of landscape, architecture, and urban system. Space syntax emphasizes that the relationship between spaces is crucial, and its essence is a method based on graph theory. Quantitative spatial analysis is the main form of space syntax and is also widely used in the evaluation of urban road systems. Studies have shown that the spatial structure of the road system affects the path selection behavior of pedestrians, thereby affecting the distribution characteristics of road traffic flow. In the prior art, space syntax is used to try to predict traffic flow, but it does not deeply reveal the intrinsic relationship between road spatial structure and traffic flow. With the rapid development of GIS technology, people's research on traffic flow trajectories has become increasingly in-depth. Space syntax has also achieved new research results in combination with the development of GIS, thus enabling space syntax to have a certain ability to analyze complex traffic problems.

[0004] However, the results of space syntax analysis still do not establish a relationship with the characteristic parameters for evaluating road traffic flow, and the evaluation results are still out of touch with the actual traffic operation conditions. Although some scholars have tried to establish a connection between space syntax and traffic flow to make up for the above defects, they still remain at the stage of analyzing spatial relationships and cannot establish a quantitative relationship with traffic flow. The reason for the analysis is that the two parameters, namely the morphological variables in space syntax and the characteristic parameters of traffic flow, describe different research objects respectively. In terms of time and space, the former describes the problems in the planning stage and is an abstract concept, while the latter describes the problems in the application stage and is the actual traffic flow. It is difficult to find common ground between the two. Therefore, the evaluation process of road space structure in the urban planning stage has always been insufficient. Summary of the invention

[0005] The present invention provides an urban road space structure evaluation method and device integrating integration and saturation, aiming to solve the above problems.

[0006] The present invention provides an urban road spatial structure evaluation method integrating integration and saturation, comprising:

[0007] Select the proposed study area whose intelligence meets the specific value as the study area;

[0008] The study area is divided into N small areas, and based on the OD reverse calculation principle, the OD traffic volume distribution matrix of the N small areas is obtained;

[0009] Expand the OD traffic volume distribution matrix by different multiples for a specific number of times, and obtain the saturation and integration degree after each expansion;

[0010] The integration degree and saturation after each expansion are generated into a scatter plot, and the changing law of the coupling relationship between integration degree and saturation is analyzed through the scatter plot. Then, combined with the operation characteristics of road traffic flow, a suitable mathematical model is selected to construct a relationship model between integration degree and saturation.

[0011] The spatial structure of urban roads is evaluated based on the relationship model between integration and saturation.

[0012] The present invention provides an urban road space structure evaluation device integrating integration and saturation, comprising:

[0013] A region selection module is used to select a proposed research region whose intelligence meets a specific value as a research region;

[0014] The OD matrix module is used to divide the study area into N small areas and obtain the OD traffic volume distribution matrix of the N small areas based on the OD reverse calculation principle;

[0015] The matrix expansion module is used to expand the OD traffic volume distribution matrix by a specific number of times and obtain the saturation and integration after each expansion;

[0016] Construct a model module to generate a scatter plot of the integration degree and saturation after each expansion, analyze the changing law of the coupling relationship between integration degree and saturation through the scatter plot, and then select a suitable mathematical model to construct a relationship model between integration degree and saturation in combination with the operation characteristics of road traffic flow;

[0017] The evaluation module is used to evaluate the urban road spatial structure based on the integration and saturation relationship model.

[0018] The present invention also provides an electronic device, comprising:

[0019] processor; and,

[0020] A memory arranged to store computer executable instructions, which, when executed, cause the processor to perform the steps of the urban road spatial structure evaluation method that combines integration and saturation as described above.

[0021] The present invention also provides a storage medium for storing computer executable instructions, which, when executed, implement the steps of the urban road space structure evaluation method that integrates integration and saturation as described above.

[0022] By adopting the embodiment of the present invention, a relationship model between integration and saturation is established, and the characteristic parameter integration of space syntax is used as an input variable, and the characteristic parameter saturation of traffic flow is used as a prediction output, so as to establish a new road space structure rationality evaluation method in the urban planning stage. By analyzing the variables in space syntax, that is, the threshold of integration, technical support is provided for road space structure design. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0024] Figure 1 A schematic diagram of an urban road spatial structure evaluation method integrating integration and saturation according to an embodiment of the present invention;

[0025] Figure 2 A schematic diagram of an axis model of a research road network according to an embodiment of the present invention;

[0026] Figure 3 A scatter plot of the current road saturation and integration degree according to an embodiment of the present invention;

[0027] Figure 4 For the embodiment of the present invention Figure 3 Schematic diagram of the traffic zone division results within the research area;

[0028] Figure 5 This is a scatter plot of saturation and integration of 1.2 times OD roads in an embodiment of the present invention;

[0029] Figure 6 This is a scatter plot of saturation and integration of 1.4 times OD roads in an embodiment of the present invention;

[0030] Figure 7 This is a scatter plot of saturation and integration of 1.6 times OD roads in an embodiment of the present invention;

[0031] Figure 8 This is a scatter plot of saturation and integration of 1.8 times OD roads in an embodiment of the present invention;

[0032] Fig. 9 This is a structural diagram of the first embodiment of the device of the embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0034] Method Embodiment

[0035] According to an embodiment of the present invention, a method for evaluating urban road spatial structure by integrating integration and saturation is provided. Figure 1 Schematic diagram of an urban road spatial structure evaluation method integrating integration and saturation according to an embodiment of the present invention. Figure 1 As shown, the urban road spatial structure evaluation method integrating integration and saturation in the embodiment of the present invention specifically includes:

[0036] Step S101, select the proposed study area whose intelligence meets a specific value as the study area; Step S101 specifically includes: abstracting the proposed study area according to space syntax, obtaining the axis model, calculating the intelligence of the axis model, if the intelligence meets the specific value, the proposed study area is used as the study area, if the intelligence does not meet the specific value, then select other proposed study areas.

[0037] Step S102, dividing the study area into N small areas, and obtaining the OD traffic volume distribution matrix of the N small areas based on the OD reverse calculation principle;

[0038] Step S103, expanding the OD traffic volume distribution matrix by different multiples for a specific number of times, and obtaining the saturation and integration degree after each expansion; Step S103 specifically includes:

[0039] The data in the OD traffic volume distribution matrix are multiplied by a specific multiple, and then the traffic is redistributed based on the expanded OD to obtain the traffic flow of the road sections in the study area, and then the saturation after expansion can be calculated. The integration degree after expansion is the same as before expansion.

[0040] Step S104, generating a scatter plot of the integration degree and saturation after each expansion, analyzing the changing law of the coupling relationship between the integration degree and the saturation through the scatter plot, and then selecting a suitable mathematical model to construct a relationship model between the integration degree and the saturation in combination with the operation characteristics of the road traffic flow;

[0041] Step S105, evaluating the urban road spatial structure according to the integration and saturation relationship model. Step S105 specifically includes: substituting the integration value of the urban road area to be tested into the integration and saturation relationship model, calculating the saturation, if the saturation value reaches the preset requirement, the evaluation ends, if the saturation value does not meet the preset requirement, modifying the road network spatial structure until the saturation of the urban road area to be tested meets the preset requirement.

[0042] In the embodiment of the present invention, integration is selected as a characteristic variable of space syntax to establish a relationship with traffic flow parameters, and saturation is selected as a characteristic variable of traffic flow parameters, so as to establish a relationship model between integration and saturation.

[0043] There are many evaluation parameters used in space syntax, including connectivity, depth, intelligence, integration, topological radius, etc. Among them, integration is the inverse of the sum of the shortest paths from one space to other spaces, which can be used to measure the degree of accumulation and dispersion of space. Places with high integration are often areas with large flow of people and vehicles in the city. Therefore, integration is the space syntax morphological variable that is most closely related to traffic flow. Moreover, in the process of calculating integration, depth and connectivity are parameters, and intelligence is calculated through integration. At the same time, integration has a high correlation with other morphological variables. Therefore, it is reasonable to choose integration as the characteristic variable of space syntax to establish a relationship with traffic flow parameters.

[0044] There are many parameters that describe traffic flow, such as traffic volume, traffic flow density, speed, saturation, etc. Parameters such as traffic volume, speed, and density are related to the number of road lanes and road grades. Therefore, when comparing roads of different grades and different numbers of lanes, there is a lack of comparability and it is not suitable to be used as a representative parameter to establish a relationship with the parameters in space syntax. Saturation reflects the ratio of actual traffic volume to capacity. Roads with low grades can pass less traffic and have smaller capacity, and vice versa. Therefore, saturation overcomes the influence of different road grades and different numbers of lanes and is a representative traffic flow parameter. Therefore, it is reasonable to choose saturation as the characteristic variable of traffic flow parameters.

[0045] Constructing a relationship model between integration and saturation cannot be achieved by relying on theoretical analysis alone. It requires real spatial structure data and real traffic flow data as support. Therefore, relevant technical research must be carried out based on the actual road system. Choosing the actual road system as the research object needs to meet certain evaluation criteria, that is, what kind of road system can be used as the basis for building the model.

[0046] In this embodiment, the intelligence index in space syntax is used as the evaluation index. The intelligence represents the status of the local space in the entire system and whether its relationship with the surrounding space is related and unified, reflecting the ability to perceive the overall space from the connectivity of the local space. The numerical value is expressed as the correlation R between the local integration and the global integration 2 The larger the calculated value, the smarter the entire space is, and the stronger the ability to perceive the whole from the local. It is generally believed that R 2 When ≥0.5, the spatial correlation is relatively strong. However, from the perspective of model construction, in order to ensure the universality and accuracy of the model, this scheme proposes to use R 2 ≥0.7 as the classification standard. That is, when R 2 When ≥0.7, the target area is suitable as the object area for building the relationship model.

[0047] According to the basic principles of space syntax, the area to be studied is abstracted to obtain the axis model. The principle is to use the "longest and least number" axis to represent the urban road network. That is, the urban road network is drawn with straight lines, regardless of the width of the road, and the straight line represents the entire road and expresses the space where the road is located. Figure 2 It is the axis model adopted in this technical solution;

[0048] The area selected this time is calculated, and its R 2 =0.746, indicating that the road network system in this area is very intelligent. This also means that the urban space layout in this area is good. Therefore, the research on the evaluation method based on this road network structure is representative and scientific.

[0049] According to the spatial structure of the road network in the study area and the actual traffic flow, the integration degree and saturation degree are calculated respectively and are listed in Table 1.

[0050] Table 1 Statistics of integration degree of main road sections and measured peak hour traffic flow

[0051]

[0052] According to the data in Table 1, a scatter plot of the relationship between integration and saturation is drawn, as shown in Figure 3 Observation Figure 3The scatter distribution shows that there is no regularity between integration and saturation. However, when the integration is between 1.1 and 1.3, the distribution of saturation values ​​is relatively concentrated, and there are relatively large saturation values, with the maximum value reaching 0.8. In the case of other integration values, the saturation values ​​are more dispersed and the saturation values ​​are relatively small. This shows that there may be a certain internal connection between integration and saturation, but the regularity is not reflected in this case.

[0053] Therefore, the embodiment of the present invention continues to find the coupling relationship between the two by loading the OD traffic volume step by step. The specific method is as follows:

[0054] According to the existing spatial layout, the research area is divided into 28 sub-areas, of which 12 are in the research area and 16 are in the periphery. The results of the sub-area division are as follows: Figure 4 Based on the OD reverse calculation principle, the OD traffic volume of each community in the study area is reversed, and some selected results are listed in Table 2.

[0055] Table 2 Part of the OD matrix calculated using the OD back-calculation method

[0056] Cell number 1 2 3 4 5 6 7 8 9 1 0 53 60 203 122 136 200 153 93 2 53 0 52 60 932 190 60 60 64 3 60 52 0 326 205 136 326 156 205 4 198 60 325 0 300 58 60 869 300 5 86 977 217 311 0 125 311 144 60 6 134 199 134 59 115 0 56 52 188 7 188 60 325 60 300 55 0 60 110 8 149 60 156 886 138 52 60 0 138 9 99 65 217 311 60 164 121 144 0

[0057] Under the premise that the original spatial layout has not changed, the current OD is expanded, that is, the current OD table is multiplied by a certain multiple, and then the traffic is redistributed based on the expanded OD to obtain the traffic flow of the road section. In this way, the relationship between integration and saturation is sought. In the embodiment of the present invention, the expansion multiples are set to 1.2 times, 1.4 times, 1.6 times, and 1.8 times, so as to obtain the traffic volume of the road section under different expansion multiples, and then the corresponding saturation can be calculated. The results are shown in Table 3.

[0058] Table 3 Saturation and integration of each road section after expansion

[0059]

[0060] It is obvious that as the OD increases, the road network saturation increases accordingly, which is consistent with the actual situation. Further analysis of the change of integration with saturation is done by drawing a relationship diagram between integration and saturation. Figure 5-Figure 8 , we can find the coupling relationship between the two.

[0061] Figure 5-Figure 8 The evolution of the coupling relationship between integration and saturation of the main roads in the study area is shown with the increase of OD traffic volume, while the road spatial structure remains unchanged. Obviously, with the increase of OD traffic volume, the relationship between saturation and integration presents a more complex structural form. Figure 5In the figure, when the road network carries 1.2 times the current OD traffic volume, as the OD traffic volume increases, the saturation of roads with higher integration degrees is also higher. Figure 6 In the figure, when the road network carries 1.4 times the current OD traffic volume, the relationship between integration and saturation is more obvious and almost linearly correlated.

[0062] Figure 7 , Figure 8 In the figure, when carrying 1.6 and 1.8 times the OD traffic volume, the relationship between saturation and integration changes significantly, and the scatter plot shows segregation and clustering effects, which are clearly divided into multiple groups. At this time, although the integration of the peripheral road network is relatively low, the saturation increases sharply, while the saturation of the central area does not change much, remaining at around 0.88.

[0063] from Figure 5-Figure 8 It can be seen from the relationship diagram that although there is coupling between integration and saturation, with different OD traffic volumes, there may be multiple models for the relationship between the two, including approximate linear models, linear models, and curve models. Therefore, choosing a reasonable relationship model is the key to evaluating planning results. This plan combines the evaluation method of urban road-related traffic flow operation to explain the construction principles and methods of the model.

[0064] Figure 5 In the described relationship model, the saturation is between 0.75 and 0.85, and the function of the road network is not fully utilized. Therefore, it is not suitable as a model for evaluating the effectiveness of road network planning. Figure 7 and Figure 8 The relationship model described is not desirable in the actual road system, and it is impossible to use these two states as planning targets in the road network planning process, so it is not suitable as an evaluation model. Generally speaking, when the saturation reaches 0.85, the operation state of the road system network is in a critical state, and the traffic function of the road can be fully utilized; in addition, Figure 7 and Figure 8 This also shows that the saturation of the road network in the city center is difficult to increase further when it reaches about 0.85. Even if the saturation of local roads is close to 0.9, it has reached the limit. Figure 6 The described relationship model is suitable as an evaluation model for the effectiveness of road network planning.

[0065] Therefore, based on the situation of 1.4 times OD traffic volume, a linear relationship model between road saturation and integration is established, as shown in Formula 1. The correlation coefficient of the model is R 2 =0.957.

[0066] y=0.67113+0.14713x formula 1;

[0067] Where y is the road saturation and x is the road integration.

[0068] If the saturation value of 0.9 is used as the critical value, the integration degree can be calculated to be 1.56. This shows that in the urban planning stage, after the road integration degree reaches above 1.56, further improving the integration degree has little significance in increasing the traffic flow capacity of the road system.

[0069] Therefore, the space syntax used in the urban planning stage lacks the necessary relationship research with the actual traffic flow data in the process of evaluating the operation characteristics of road network traffic flow, and it is difficult to truly reflect the effect of road network planning. However, there is a coupling relationship between the integration parameter in the space syntax and the saturation parameter of the actual traffic flow.

[0070] There is an intrinsic connection between integration and saturation, but this connection is not obvious. This relationship can only be shown under relatively large traffic pressure. By comparing the relationship between the two under different traffic flow conditions, the best coupling model can be found. This model can be used to evaluate the degree of response of saturation to integration, thus providing the best evaluation method for road network spatial planning.

[0071] When the integration degree of the road network reaches 1.56, further increasing the integration degree will have little effect on the road traffic flow capacity. Therefore, it is more reasonable to use 1.56 as the threshold value of the road network integration degree.

[0072] By adopting the embodiments of the present invention, the following beneficial effects are achieved:

[0073] The analysis method of the coupling relationship between integration and saturation. Integration is a static indicator, and saturation is a dynamic indicator. The basic idea of ​​building the model is to find the coupling relationship between the two by loading OD traffic step by step. The constructed integration and saturation relationship model is a new comprehensive model. Previous evaluation methods were based on the parameters of space syntax to evaluate the effects of urban planning. Only this model integrates the two and applies them. For the first time, a reasonable indicator for integration was proposed, and it was believed that 1.56 was a reasonable threshold for integration.

[0074] Device Example 1

[0075] According to an embodiment of the present invention, a device for evaluating urban road spatial structure by integrating integration and saturation is provided. Fig. 9 Schematic diagram of the first embodiment of the device of the present invention, according to Fig. 9 As shown, the urban road space structure evaluation device integrating integration and saturation according to the embodiment of the present invention specifically includes:

[0076] A region selection module 90, for selecting a proposed research region whose intelligence meets a specific value as a research region;

[0077] The OD matrix module 91 is used to divide the study area into N small areas, and obtain the OD traffic volume distribution matrix of the N small areas based on the OD reverse calculation principle;

[0078] The matrix expansion module 92 is used to expand the OD traffic volume distribution matrix by different multiples for a specific number of times, and obtain the saturation and integration degree after each expansion;

[0079] A model building module 93 is used to generate a scatter plot of the integration degree and saturation after each expansion, analyze the changing law of the coupling relationship between the integration degree and the saturation through the scatter plot, and then select a suitable mathematical model to build a relationship model between the integration degree and the saturation in combination with the operation characteristics of the road traffic flow;

[0080] The evaluation module 94 is used to evaluate the urban road spatial structure according to the integration and saturation relationship model.

[0081] The region selection module 90 is specifically used for:

[0082] The proposed study area is abstracted according to space syntax, the axis model is obtained, and the intelligence of the axis model is calculated. If the intelligence meets a specific value, the proposed study area is used as the study area. If the intelligence does not meet the specific value, other proposed study areas are selected.

[0083] The matrix expansion module 92 is specifically used for:

[0084] The data in the OD traffic volume distribution matrix is ​​multiplied by a specific multiple, and then the traffic is redistributed based on the expanded OD traffic volume distribution matrix to obtain the traffic flow of the road section in the study area, and then the saturation after expansion can be calculated. The integration degree after expansion is the same as that before expansion.

[0085] The evaluation module 94 is specifically used for:

[0086] The integration value of the urban road area to be tested is substituted into the integration and saturation relationship model to calculate the saturation. If the saturation value reaches the preset requirement, the evaluation ends. If the saturation value does not reach the preset requirement, the spatial structure of the road network is modified until the saturation of the urban road area to be tested reaches the preset requirement.

[0087] Device Example 2

[0088] An embodiment of the present invention further provides an electronic device, including:

[0089] processor; and,

[0090] A memory arranged to store computer executable instructions which, when executed, cause the processor to perform the steps as described in the method embodiment.

[0091] Device Example 3

[0092] An embodiment of the present invention further provides a storage medium for storing computer executable instructions, wherein the computer executable instructions, when executed, implement the steps described in the method embodiment.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An urban road spatial structure evaluation method integrating integration and saturation. It is characterized in that include: Select the proposed study area whose intelligence meets the specific value as the study area; The study area is divided into N small areas, and based on the OD inverse principle, the OD traffic volume distribution matrix of the N small areas is obtained; Expanding the OD traffic volume distribution matrix by different multiples for a specific number of times, and obtaining the saturation and integration degree after each expansion; The integration degree and saturation after each expansion are generated into a scatter plot, and the changing law of the coupling relationship between the integration degree and the saturation is analyzed through the scatter plot. Then, in combination with the operation characteristics of the road traffic flow, a suitable mathematical model is selected to construct a relationship model between the integration degree and the saturation; Evaluate the urban road spatial structure according to the integration and saturation relationship model; The step of expanding the OD traffic volume distribution matrix by different multiples for a specific number of times and obtaining the saturation and integration degree after each expansion specifically includes: The data in the OD traffic volume distribution matrix is ​​multiplied by a specific multiple, and then the traffic is redistributed based on the expanded OD to obtain the traffic flow of the road section in the study area, and then the saturation after expansion can be calculated. The integration degree after expansion is the same as that before expansion; The evaluation of the urban road spatial structure according to the integration and saturation relationship model specifically includes: The integration value of the urban road area to be tested is substituted into the integration and saturation relationship model to calculate the saturation. If the saturation value reaches the preset requirement, the evaluation ends. If the saturation value does not reach the preset requirement, the spatial structure of the road network is modified until the saturation of the urban road area to be tested reaches the preset requirement.

2. The method according to claim 1, It is characterized in that The selecting of an area where the intelligence degree meets a specific value as the research area specifically includes: The proposed study area is abstracted according to space syntax, the axis model is obtained, and the intelligence of the axis model is calculated. If the intelligence meets a specific value, the proposed study area is used as the study area. If the intelligence does not meet the specific value, other proposed study areas are selected.

3. An urban road spatial structure evaluation device integrating integration and saturation, It is characterized in that include: A region selection module is used to select a proposed research region whose intelligence meets a specific value as a research region; An OD matrix module is used to divide the study area into N small areas, and obtain the OD traffic volume distribution matrix of the N small areas based on the OD reverse calculation principle; A matrix expansion module is used to expand the OD traffic volume distribution matrix by different multiples for a specific number of times, and obtain the saturation and integration degree after each expansion; Constructing a model module, for generating a scatter plot of the integration degree and saturation after each expansion, analyzing the changing law of the coupling relationship between the integration degree and the saturation through the scatter plot, and then selecting a suitable mathematical model to construct a relationship model between the integration degree and the saturation in combination with the operation characteristics of the road traffic flow; An evaluation module, used for evaluating the urban road spatial structure according to the integration and saturation relationship model; The matrix expansion module is specifically used for: The data in the OD matrix is ​​multiplied by a specific multiple, and then the traffic is redistributed based on the expanded OD to obtain the traffic flow of the road section in the study area, and then the saturation after expansion can be calculated. The integration degree after expansion is the same as that before expansion; The evaluation module is specifically used for: The integration value of the urban road area to be tested is substituted into the integration and saturation relationship model to calculate the saturation. If the saturation value reaches the preset requirement, the evaluation ends. If the saturation value does not reach the preset requirement, the spatial structure of the road network is modified until the saturation of the urban road area to be tested reaches the preset requirement.

4. The device according to claim 3, It is characterized in that The region selection module is specifically used for: The proposed study area is abstracted according to space syntax, the axis model is obtained, and the intelligence of the axis model is calculated. If the intelligence meets a specific value, the proposed study area is used as the study area. If the intelligence does not meet the specific value, other proposed study areas are selected.

5. An electronic device, include: processor; as well as, A memory arranged to store computer executable instructions, which, when executed, cause the processor to perform the steps of the urban road spatial structure evaluation method for integrating degree of integration and degree of saturation as described in any one of claims 1-2.

6. A storage medium for storing computer executable instructions, which, when executed, implement the steps of the urban road spatial structure evaluation method that integrates integration and saturation as described in any one of claims 1-2.

Images