Method and system for evaluating multi-scale collaborative development of high-speed rail network and urban agglomeration

Abstract

The invention discloses an evaluation method and system for multi-scale collaborative development of a high-speed rail network and an urban agglomeration, and the method comprises the steps: firstly, comprehensively selecting indexes representing different scales of a station area, a city and the urban agglomeration from the three dimensions of scale, space and function based on the overall level of the urban agglomeration, and constructing a collaborative development index system of the high-speed rail network and the urban agglomeration; then the index system is decomposed to form index systems of different scales, and collaborative level evaluation is performed from three dimensions of scale, space and function, so that the collaborative level is analyzed in combination with a coupling coordination degree model and an obstacle degree model from two different angles of the scale and the dimension. The method not only enriches the scale and dimension of collaborative level evaluation, but also can effectively identify the key short board of collaborative development, and provides important technical support for promoting collaborative sustainable development of the high-speed rail network and the urban agglomeration.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive measurement and impact analysis of high-speed rail network construction and the development of station areas, cities and urban agglomerations, and in particular to an evaluation method and system for the multi-scale coordinated development of high-speed rail networks and urban agglomerations. Background Art

[0002] As a product of "world transportation technology innovation", high-speed rail has many advantages such as short-time high efficiency, high punctuality, high number of trains, and strong safety. The construction of high-speed rail network has not only improved the traffic conditions of cities, but also accelerated the flow of factors such as population, capital, and information between regions. At present, relevant research on the effects of high-speed rail at home and abroad mainly involves three scales: station area, city, and urban agglomeration. The construction of high-speed rail network affects the development of regions at different spatial scales from the dimensions of scale, space, and function. This includes the land use agglomeration and industrial layout evolution around the station area under the influence of the development of high-speed rail network, urban economic growth and urbanization development, changes in the spatial organization of resource elements in urban agglomerations, and changes in regional economic and industrial structure.

[0003] Therefore, what kind of coordinated development model has been formed between the high-speed rail transportation system and the urban agglomeration space system, and whether the two are coordinated at multiple scales such as station areas, cities and urban agglomerations, are also core issues that need to be paid attention to in the current development of high-speed rail. The existing technology generally lacks a multi-scale and multi-dimensional comprehensive evaluation method for coordinated development, and cannot scientifically and effectively measure the level of coordinated development between the high-speed rail network and the urban agglomeration space. The benign interaction between the high-speed rail network and the urban agglomeration space organization lacks sufficient scientific and technological support. Summary of the invention

[0004] The first purpose of the present invention is to provide an evaluation method for the multi-scale coordinated development of high-speed rail networks and urban agglomerations in response to the problems existing in the above-mentioned prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] An evaluation method for the multi-scale coordinated development of high-speed rail networks and urban agglomerations, including:

[0007] Taking scale, space and function as evaluation dimensions, we select indicators representing station areas, cities and urban agglomeration scales in different evaluation dimensions for the high-speed rail network system and urban agglomeration spatial structure system, and construct the first indicator system representing the overall level;

[0008] Taking scale, space and function as evaluation dimensions, the first indicator system is decomposed, and indicators representing station area scale, city scale and urban agglomeration scale in different evaluation dimensions are selected for the high-speed rail network and urban agglomeration respectively, and the second indicator system representing station area scale, the third indicator system representing city scale and the fourth indicator system representing urban agglomeration scale are constructed respectively;

[0009] Calculate the quantitative values ​​of the indicators in the four indicator systems respectively, and perform weighted calculations on the indicators corresponding to the high-speed rail network and urban agglomeration under each evaluation dimension to obtain the evaluation scores x of the high-speed rail network and urban agglomeration in each evaluation dimension of the four indicator systems respectively. i ,y i ; Where i represents the evaluation dimension, i = 1, 2, 3;

[0010] Take the x i ,y i The coupling degree model is used as a variable to obtain the coupling degree of each indicator system. According to the coupling coordination degree model and the barrier degree model, the coordination level and coordination barrier degree of the high-speed rail network system and the urban agglomeration spatial structure system at the overall level and at different scales are obtained respectively.

[0011] As a preferred implementation, the indicators of the scale assessment dimension include: selecting indicators that characterize the scale of high-speed rail stations, high-speed rail passenger capacity, station area construction scale, and the population and economic scale of the city;

[0012] The indicators of the spatial evaluation dimension include: selecting indicators that represent station-city transportation connections, high-speed rail network centrality, urban agglomeration population mobility, corporate cooperation, and urban connections;

[0013] The indicators of the functional evaluation dimension include: selecting indicators that represent the level of high-speed rail stations, the level of high-speed rail supply, the intensity of station area development, the level of industrial development, and the rate of economic growth.

[0014] As a preferred implementation, the indicators selected for the scale assessment dimension include:

[0015] High-speed rail network system: number of platforms in the station area, frequency of high-speed rail in the station area, scale of station construction in the station area, centrality of the high-speed rail network, and average daily passenger volume of high-speed rail;

[0016] Spatial structure system of urban agglomeration: population density in station area, building density in station area, POI density in station area, urban GDP, size of urban permanent population, size of urban employed population, and total social fixed asset investment in the city.

[0017] As a preferred implementation, the indicators selected for the spatial evaluation dimension include:

[0018] High-speed rail network system: accessibility of urban high-speed rail network, connectivity of urban high-speed rail network, intermediary centrality of urban high-speed rail network, density of public transportation facilities in station area, number of rail transit line connections in station area, number of bus line connections in station area, spatial distance between station area and city, temporal distance between station area and city, density of urban public transportation facilities in station area;

[0019] Spatial structure system of urban agglomeration: average building height of station area, POI diversity index of station area, land use diversity index of station area, urban built-up area, population density of urban central urban area, per capita disposable income of urban urban residents, ratio of urban resident population to registered population, and intensity of urban population mobility connection.

[0020] As a preferred implementation, the indicators selected for the functional evaluation dimension include:

[0021] High-speed rail network system: station level in the station area, whether the station area has newly built / upgraded stations, the opening time of the high-speed rail in the station area, the number of high-speed rail stations in the station area, the level of urban public transportation supply, and the proportion of urban transportation land area;

[0022] Spatial structure system of urban agglomeration: land development intensity of station area, thermal index of station area, DN value of night light data of station area, growth rate of urban GDP, proportion of urban tertiary industry, urbanization rate of urban permanent population, and urban administrative level.

[0023] As a preferred implementation, the weight of each indicator in the first indicator system is determined based on the entropy weight method; the weight of each indicator in the second, third and fourth indicator systems is determined based on the equal weighting method.

[0024] As a preferred implementation, each indicator is normalized and then weighted.

[0025] The second object of the present invention is to provide an evaluation system for the multi-scale coordinated development of high-speed rail networks and urban agglomerations, comprising:

[0026] Index system construction module: Taking scale, space and function as evaluation dimensions, the indicators representing station areas, cities and urban agglomeration scales in different evaluation dimensions are selected for the high-speed rail network system and urban agglomeration spatial structure system to construct the first index system representing the overall level;

[0027] Taking scale, space and function as evaluation dimensions, the first indicator system is decomposed, and indicators representing station area scale, city scale and urban agglomeration scale in different evaluation dimensions are selected for the high-speed rail network and urban agglomeration respectively, and the second indicator system representing station area scale, the third indicator system representing city scale and the fourth indicator system representing urban agglomeration scale are constructed respectively;

[0028] Data acquisition module: obtains the quantitative values ​​of indicators in the four indicator systems;

[0029] Collaborative development evaluation module: weighted calculation of the indicators corresponding to the high-speed rail network and urban agglomeration under each evaluation dimension, and obtain the evaluation scores of the high-speed rail network and urban agglomeration in each evaluation dimension of the four indicator systems. i ,y i ; Where i represents the evaluation dimension, i = 1, 2, 3;

[0030] Take the x i ,y i The coupling degree model is used as a variable to obtain the coupling degree of each indicator system. According to the coupling coordination degree model and the barrier degree model, the coordination level and coordination barrier degree of the high-speed rail network system and the urban agglomeration spatial structure system at the overall level and at different scales are obtained respectively.

[0031] A third object of the present invention is to provide a computer-readable storage medium having a computer program / instruction stored thereon, which implements the steps of the above method when the computer program / instruction is executed by a processor.

[0032] A fourth object of the present invention is to provide a computer program product, comprising a computer program / instruction, which implements the steps of the above method when executed by a processor.

[0033] The present invention has the following beneficial effects:

[0034] (1) In the past, the coordination level between transportation construction and urban development was mainly evaluated from the station area and city scale. However, the difference of high-speed rail transportation is that it affects the development of cities and station areas from the scale of urban agglomerations (high-speed rail effect). The spatial location of the station within the city and the centrality of the transportation node in the high-speed rail network of the urban agglomeration jointly affect the high-speed rail effect. The present invention first selects indicators representing the different scales of station areas, cities and urban agglomerations from the three dimensions of scale, space and function based on the overall level of urban agglomerations, and constructs an indicator system for the coordinated development of high-speed rail networks and urban agglomerations. Then, the indicator system is decomposed into indicator systems of different scales, and the coordination level is evaluated from the three dimensions of scale, space and function. Thus, the coordination level is analyzed from two different perspectives of scale and dimension, and a more systematic and scientific analysis of the coordination level between high-speed rail networks and urban agglomerations is achieved.

[0035] (2) This invention combines traditional statistical data with multi-source data such as geographic big data to quantify indicators and constructs a scientific indicator evaluation system for different evaluation dimensions;

[0036] (3) This paper realizes a systematic quantitative evaluation of the coordinated development level of the high-speed rail network and the urban agglomeration by constructing a coupling coordination degree model and an obstacle degree model. This method not only enriches the scale dimension of the coordinated level evaluation, but also effectively identifies the key shortcomings of coordinated development, providing important technical support for promoting the coordinated and sustainable development of the high-speed rail network and the urban agglomeration. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The technical solution and technical effects of the present invention will become clearer and easier to understand through the following description of a preferred embodiment of the present invention in conjunction with the accompanying drawings.

[0038] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0039] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0040] Step 1: Based on the overall level of urban agglomerations, comprehensively select indicators representing different scales of station areas, cities and urban agglomerations from the three dimensions of scale, space and function, build an indicator system for the coordinated development of high-speed rail networks and urban agglomerations, and determine the weight of each indicator through the entropy weight method.

[0041] The construction of the coordinated development indicator system at the overall level includes three dimensions: scale, space and function. Taking into account the connections between different scales, indicators are selected to express the high-speed rail network system and the urban agglomeration space system, specifically:

[0042] In the dimension of scale coordination, the coordination between the scale of high-speed rail stations, high-speed rail passenger capacity, station area construction scale, urban population and economic scale, etc. is mainly evaluated. The high-speed rail network system includes indicators such as the number of platforms, station construction scale, high-speed rail frequency, daily average high-speed rail passenger volume, and high-speed rail network degree centrality; the urban agglomeration spatial system includes indicators such as station area population density, station area building density, station area POI density, GDP, permanent population size, and employed population size;

[0043] In the dimension of spatial coordination, the main assessment is the coordination between station-city transportation links, high-speed rail network centrality, and population mobility, corporate cooperation, and city connections in urban agglomerations. The high-speed rail network system includes indicators such as high-speed rail network accessibility, high-speed rail network connectivity, high-speed rail network intermediary centrality, number of station rail transit line connections, number of station bus line connections, station-city spatial distance, station-city temporal distance, etc.; the urban agglomeration spatial system includes indicators such as average building height of station area, station area POI diversity index, station area land use diversity index, urban built-up area, population density of central urban area, household registration ratio of floating population, number of enterprise branches, and city connection intensity;

[0044] In the dimension of functional coordination, the main assessment is the coordination between the level of high-speed rail stations, the level of high-speed rail supply, and the intensity of station area development, the level of industrial development, and the rate of economic growth. The high-speed rail network system includes the level of indicator stations, newly built / upgraded stations, the length of time the high-speed rail has been in operation, the number of high-speed rail stations, the level of high-speed rail service supply, and the proportion of urban transportation land area; the urban agglomeration space system includes the intensity of land development in the indicator station area, the thermal index of the station area, the DN value of the night light data in the station area, the GDP growth rate, the proportion of the tertiary industry, the urbanization rate of the permanent population, and the administrative level of the city.

[0045] The overall index system of the high-speed rail system and urban agglomeration constructed in this embodiment is shown in Table 1:

[0046] Table 1

[0047]

[0048]

[0049] The weight of each indicator is determined by the entropy weight method, including the following steps:

[0050] First, normalize each indicator and convert the absolute value of the indicator into a relative value. The calculation formula is:

[0051]

[0052] In the formula, x ij is the i-th data in the j-th indicator, x′ ij is the relative value of the indicator, max(x j ) and min(x j ) are the maximum and minimum values ​​of the j-th index respectively;

[0053] Secondly, calculate the proportion Q of the i-th data in the j-th indicator ij :

[0054]

[0055] Then, calculate the entropy value H of the jth indicator j :

[0056]

[0057] Where k>0,

[0058] Finally, calculate the weight W of the jth indicator j1 :

[0059]

[0060] Step three: According to the development characteristics of different scales, decompose the overall coordinated development indicator system to form indicator systems for station areas, cities and urban agglomerations, and determine the weight of each indicator through the equal weighting method.

[0061] According to the development characteristics of different scales, the overall coordinated development index system is decomposed to form the index systems of station area, city and urban agglomeration scales, which are as follows:

[0062] At the station area scale, it mainly reflects the connection and development between stations and station areas under the influence of high-speed rail, and evaluates the balance between the supply capacity of high-speed rail station transportation nodes and the service level of urban functions in the station area. Among them, under the scale dimension, the indicators of the high-speed rail network system include the number of platforms, the scale of station construction, and the average daily passenger volume of high-speed rail, and the indicators of the urban agglomeration space system include the population density of the station area, the building density of the station area, and the POI density of the station area; under the spatial dimension, the indicators of the high-speed rail network system include the density of public transportation facilities in the station area, the number of rail transit line connections at the station, and the number of bus line connections at the station, and the indicators of the urban agglomeration space system include the average building height of the station area, the POI diversity index of the station area, and the land use diversity index of the station area; under the functional dimension, the indicators of the high-speed rail network system include station grade, new station / upgraded station, high-speed rail opening time, and the indicators of the urban agglomeration space system include the land development intensity of the station area, the thermal index of the station area, and the DN value of the night light data of the station area.

[0063] At the city scale, it mainly reflects the connection and development between the station area and the city under the influence of high-speed rail, and evaluates the interactive relationship between the high-speed rail station area and the city in terms of spatial development form, functional structure and connection level. Among them, under the scale dimension, the indicators of the high-speed rail network system include high-speed rail frequency, daily average passenger volume of high-speed rail, station construction scale, etc., and the indicators of the urban agglomeration space system include GDP, permanent population size, total social fixed asset investment, etc.; under the spatial dimension, the indicators of the high-speed rail network system include station-city spatial distance, station-city time distance, urban public transportation facility density, etc., and the indicators of the urban agglomeration space system include urban built-up area, central urban population density, per capita disposable income of urban residents, etc.; under the functional dimension, the indicators of the high-speed rail network system include high-speed rail opening time, number of high-speed rail stations, proportion of urban transportation land area, etc., and the indicators of the urban agglomeration space system include GDP growth rate, proportion of tertiary industry, urbanization rate of permanent population, etc.

[0064] At the scale of urban agglomerations, it mainly reflects the connection and development of cities and urban agglomerations under the influence of high-speed rail, and evaluates the scale matching relationship between the scale of urban high-speed rail services and transportation demand, the high-speed rail transportation network and the urban functional network, and the synergistic relationship between high-speed rail transportation and the growth potential of urban agglomerations. Among them, under the scale dimension, the indicators of the high-speed rail network system include high-speed rail frequency, daily average passenger volume of high-speed rail, high-speed rail network degree centrality, etc., and the indicators of the urban agglomeration space system include GDP, permanent population size, employed population size, etc.; under the spatial dimension, the indicators of the high-speed rail network system include high-speed rail network accessibility, high-speed rail network connectivity, high-speed rail network intermediary centrality, etc., and the indicators of the urban agglomeration space system include the household registration ratio of floating population, the number of enterprise branches, and the intensity of urban connection, etc.; under the functional dimension, the indicators of the high-speed rail network system include the opening time of high-speed rail, the number of high-speed rail stations, the level of high-speed rail service supply, etc., and the indicators of the urban agglomeration space system include urban administrative level, GDP growth rate, and urbanization rate of permanent population, etc. The evaluation index system of the coordinated development of station areas, cities, and urban high-speed rail networks and urban agglomerations in this embodiment is shown in Table 2:

[0065] Table 2

[0066]

[0067]

[0068]

[0069] The method of determining the weight of each indicator by equal weighting includes the following steps:

[0070] First, normalize each indicator and convert the absolute value of the indicator into a relative value. The calculation formula is:

[0071]

[0072] In the formula, x ij is the i-th data in the j-th indicator, x′ ij is the relative value of the indicator, max(x j ) and min(x j ) are the maximum and minimum values ​​of the j-th index respectively;

[0073] Then, calculate the weight W of the jth indicator j2 :

[0074]

[0075] In the formula, m is the number of indicators.

[0076] Step 4: Calculate the evaluation scores of the high-speed rail network and urban agglomeration systems in different dimensions respectively, and analyze the coordination level of the two systems at the overall level and at different scales based on the coupling coordination model.

[0077] The evaluation scores of the high-speed rail network and urban agglomeration systems are calculated as follows:

[0078]

[0079] In the formula, E(x i )、F(y i ) are the high-speed rail network system evaluation scores and the urban agglomeration space system evaluation scores, respectively, where i is the dimension, x=1, 2, 3 refer to the scale dimension, spatial dimension, and functional dimension, respectively; m is the number of indicators describing the characteristics of each system, x′ ij , y′ ij are the relative values ​​of index j in the i-th dimension of the two systems, a j , b j are the weights of the j-th indicator in the two systems respectively.

[0080] The coupling degree is calculated according to the coupling degree model. The calculation formula is:

[0081]

[0082] In the formula, C is the coupling degree, E(x i )、F(y i ) are the high-speed rail network system evaluation score and the urban agglomeration spatial system evaluation score, respectively, and k is the adjustment coefficient. Among them, 0≤C≤1, the larger the C value, the more coordinated the high-speed rail network and the urban agglomeration are.

[0083] The coupling coordination degree is calculated according to the coupling coordination degree model. The calculation formula is:

[0084] D=(C*T) 1 / 2

[0085] T=αE(x i )+βF(y i )

[0086] In the formula, D is the coupling coordination degree, and C is the coupling degree. Among them, 0≤D≤1, the larger the D value, the higher the level of coupling and coordinated development between the high-speed rail network and the urban agglomeration, and the smaller the D value, the more serious the imbalance between the two. α and β are undetermined coefficients used to characterize the importance between the high-speed rail network and the development of urban agglomerations, and α+β=1. Since the two have the same interaction, α and β are both 0.5 in this embodiment. The following table shows the classification standard of the coupling coordination degree D.

[0087] Table 3 Coordination level classification standards

[0088]

[0089] Step five: Calculate the coordination barrier degree of each indicator based on the barrier degree model and identify the key barrier factors for coordinated development.

[0090] The calculation of the index coordination obstacle degree comprises the steps of:

[0091] First, calculate the comprehensive weight value of the indicator. The calculation formula is:

[0092] G=P*W

[0093] In the formula, G is the comprehensive weight value of the indicator, P is the weight of the criterion layer, and W is the weight of the indicator layer;

[0094] Secondly, calculate the coordination barrier degree of the indicator layer. The calculation formula is:

[0095]

[0096] I=1-x′ ij

[0097] In the formula, O j is the coordination barrier degree of the jth indicator in the indicator layer, m is the number of indicators describing the characteristics of each system, and x′ ij is the relative value of the ith data of the jth indicator;

[0098] Finally, the coordination barrier degree of the criterion layer is calculated, and the calculation formula is:

[0099] U=∑O j

[0100] Where U is the coordination barrier degree of the criterion layer, O j is the coordination barrier degree of the jth indicator in the indicator layer.

Claims

1. An evaluation method for the multi-scale coordinated development of high-speed rail networks and urban agglomerations, characterized in that: include: Taking scale, space and function as evaluation dimensions, we select indicators representing station areas, cities and urban agglomeration scales in different evaluation dimensions for the high-speed rail network system and urban agglomeration spatial structure system, and construct the first indicator system representing the overall level; Taking scale, space and function as evaluation dimensions, the first indicator system is decomposed, and indicators representing station area scale, city scale and urban agglomeration scale in different evaluation dimensions are selected for the high-speed rail network and urban agglomeration respectively, and the second indicator system representing station area scale, the third indicator system representing city scale and the fourth indicator system representing urban agglomeration scale are constructed respectively; Calculate the quantitative values ​​of the indicators in the four indicator systems respectively, and perform weighted calculations on the indicators corresponding to the high-speed rail network and urban agglomeration under each evaluation dimension to obtain the evaluation scores of the high-speed rail network and urban agglomeration in each evaluation dimension of the four indicator systems. x i , y i ;in i represents the evaluation dimension, i =1, 2, 3; As mentioned x i , y i The coupling degree model is used as a variable to obtain the coupling degree of each indicator system. According to the coupling coordination degree model and the barrier degree model, the coordination level and coordination barrier degree of the high-speed rail network system and the urban agglomeration spatial structure system at the overall level and at different scales are obtained respectively.

2. The method according to claim 1, characterized in that The indicators of the scale assessment dimension include: selecting indicators that represent the scale of high-speed rail stations, high-speed rail passenger capacity, station area construction scale, and the population and economic scale of the city; The indicators of the spatial evaluation dimension include: selecting indicators that represent station-city transportation connections, high-speed rail network centrality, urban agglomeration population mobility, corporate cooperation, and urban connections; The indicators of the functional evaluation dimension include: selecting indicators that represent the level of high-speed rail stations, the level of high-speed rail supply, the intensity of station area development, the level of industrial development, and the rate of economic growth.

3. The method according to claim 1, characterized in that The indicators selected in the scale assessment dimension include: High-speed rail network system: number of platforms in the station area, frequency of high-speed rail in the station area, scale of station construction in the station area, centrality of the high-speed rail network, and average daily passenger volume of high-speed rail; Spatial structure system of urban agglomeration: population density in station area, building density in station area, POI density in station area, urban GDP, size of urban permanent population, size of urban employed population, and total social fixed asset investment in the city.

4. The method according to claim 1, characterized in that: The indicators selected in the spatial evaluation dimension include: High-speed rail network system: accessibility of urban high-speed rail network, connectivity of urban high-speed rail network, intermediary centrality of urban high-speed rail network, density of public transportation facilities in station area, number of rail transit line connections in station area, number of bus line connections in station area, spatial distance between station area and city, temporal distance between station area and city, density of urban public transportation facilities in station area; Spatial structure system of urban agglomeration: average building height of station area, POI diversity index of station area, land use diversity index of station area, urban built-up area, population density of urban central urban area, per capita disposable income of urban urban residents, ratio of urban resident population to registered population, and intensity of urban population mobility connection.

5. The method according to claim 1, characterized in that The indicators selected in the functional evaluation dimension include: High-speed rail network system: station level in the station area, whether the station area has newly built / upgraded stations, the opening time of the high-speed rail in the station area, the number of high-speed rail stations in the station area, the level of urban public transportation supply, and the proportion of urban transportation land area; Spatial structure system of urban agglomeration: land development intensity of station area, thermal index of station area, DN value of night light data of station area, growth rate of urban GDP, proportion of urban tertiary industry, urbanization rate of urban permanent population, and urban administrative level.

6. The method according to claim 1, characterized in that The weight of each indicator in the first indicator system is determined based on the entropy weight method; the weight of each indicator in the second, third and fourth indicator systems is determined based on the equal weighting method.

7. The method according to claim 1, characterized in that Each indicator is normalized and then weighted.

8. An evaluation system for the multi-scale coordinated development of high-speed rail networks and urban agglomerations, characterized in that: include: Indicator system building blocks; Taking scale, space and function as evaluation dimensions, we select indicators representing station areas, cities and urban agglomeration scales in different evaluation dimensions for the high-speed rail network system and urban agglomeration spatial structure system, and construct the first indicator system representing the overall level; Taking scale, space and function as evaluation dimensions, the first indicator system is decomposed, and indicators representing station area scale, city scale and urban agglomeration scale in different evaluation dimensions are selected for the high-speed rail network and urban agglomeration respectively, and the second indicator system representing station area scale, the third indicator system representing city scale and the fourth indicator system representing urban agglomeration scale are constructed respectively; Data acquisition module: obtains the quantitative values ​​of indicators in the four indicator systems; Collaborative development assessment module; The indicators corresponding to the high-speed rail network and urban agglomeration under each evaluation dimension are weighted and calculated to obtain the evaluation scores of the high-speed rail network and urban agglomeration in each evaluation dimension of the four indicator systems. x i , y i ;in i represents the evaluation dimension, i =1, 2, 3; As mentioned x i , y i The coupling degree model is used as a variable to obtain the coupling degree of each indicator system. According to the coupling coordination degree model and the barrier degree model, the coordination level and coordination barrier degree of the high-speed rail network system and the urban agglomeration spatial structure system at the overall level and at different scales are obtained respectively.

9. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

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