Dynamic analysis method and system of regional passenger flow sharing rate based on AHP

Abstract

The present invention relates to the technical field of regional analysis, and specifically discloses a method and system for dynamic analysis of regional passenger flow sharing rate based on AHP. The method comprises the following steps: receiving an analysis range input by a user, acquiring zoning information within the analysis range, and determining a target area; acquiring landmark buildings within the analysis range, and determining the traffic convenience of each target area based on the landmark buildings; acquiring facility information within each target area, and determining the regional attractiveness; acquiring basic information within each target area, and determining the residential suitability according to the basic information; performing AHP analysis on the traffic convenience, regional attractiveness and residential suitability, and calculating a comprehensive score of each target area as the passenger flow sharing rate; the accuracy of the calculation result of the present invention is slightly reduced, but the timeliness is greatly improved, and in addition, the workload of the staff is greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of regional analysis, and in particular to a method and system for dynamic analysis of regional passenger flow sharing rate based on AHP. Background Art

[0002] Passenger flow sharing rate is of great significance in traffic planning and regional management. It describes the passenger flow distribution ratio between different regions or modes of transportation. It is an extremely important parameter in the urban construction process and an important reference for optimizing resource allocation.

[0003] The evaluation rules in the existing passenger flow sharing rate analysis process are actively determined by the staff. After obtaining the data under different indicators, the staff will actively evaluate according to the evaluation rules to obtain a passenger flow sharing rate. Over a period of time, the passenger flow sharing rate is fixed, and the staff needs to continuously update it, such as once every week. Although this solution has high accuracy, it is slightly lacking in timeliness and the workload of the staff is heavy. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for dynamic analysis of regional passenger flow sharing rate based on AHP to solve the problems raised in the above background technology.

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

[0006] A method and system for dynamic analysis of regional passenger flow sharing rate based on AHP, the method comprising:

[0007] Receive the analysis range input by the user, obtain the zoning information within the analysis range, and determine the target area;

[0008] Acquire landmark buildings within the analysis range, and determine the traffic convenience of each target area based on the landmark buildings;

[0009] Obtain facility information in each target area and determine the area's attractiveness;

[0010] Obtaining basic information in each target area, and determining residential suitability based on the basic information;

[0011] Taking traffic convenience, regional attractiveness and residential suitability as criteria, we get the criterion layer and construct the criterion layer judgment matrix simultaneously;

[0012] The traffic convenience, regional attractiveness and residential suitability of each target area are counted, and the judgment matrix of different target areas is constructed to obtain the scheme-level judgment matrix;

[0013] The comprehensive score of each target area is calculated according to the criterion layer judgment matrix and the scheme layer judgment matrix as the passenger flow sharing rate.

[0014] Furthermore, the step of acquiring landmark buildings within the analysis range and determining the traffic convenience of each target area based on the landmark buildings includes:

[0015] Get the landmark buildings within the analysis range;

[0016] Uniformly selecting starting points in the target area according to a preset test density; the test density represents the number of points per unit area;

[0017] Randomly generate paths based on the starting point and landmark buildings to obtain a path set with the starting point and landmark buildings as labels;

[0018] The traffic convenience of the target area is determined based on the time consumption information of all path sets.

[0019] Furthermore, the step of determining the traffic convenience of the target area according to the time consumption information of all path sets includes:

[0020] For any path set, the average speed of each path in the path set at a preset time point is obtained in the map service; the preset time points form an arithmetic progression, the first term is 0, the last term is 24, and the time step is a preset value;

[0021] The convenience of the starting point and landmark buildings is determined by calculating the average speed of each path at the preset time point;

[0022] Count the convenience of all departure points and all landmark buildings as the traffic convenience of the target area;

[0023] The calculation process of the convenience of the starting point and landmark buildings is as follows:

[0024] Create a speed matrix with paths as rows and time as columns, calculate the Frobenius norm of the speed matrix, and determine the convenience based on the proportionality of the Frobenius norm;

[0025] The calculation process of the traffic convenience of the target area is:

[0026] ; In the formula, Indicates the convenience of transportation. Indicates The convenience of the combination of a starting point and a landmark building, represents the total number of departure points, Indicates the total number of landmark buildings.

[0027] Furthermore, the step of obtaining facility information in each target area and determining the area attractiveness includes:

[0028] Obtain the registered commercial entities in each target area and determine the commercial attractiveness based on the revenue data of the commercial entities;

[0029] Obtain the number of scenic spots and their ratings in each target area, and determine the attractiveness of the scenic spots based on the number of scenic spots and their ratings;

[0030] The step of obtaining basic information in each target area and determining the residential suitability according to the basic information comprises:

[0031] Obtain historical weather information for each target area, input the historical weather information into the trained evaluation model, and obtain residential suitability.

[0032] Furthermore, the steps of taking traffic convenience, regional attractiveness and residential suitability as criteria to obtain a criterion layer and simultaneously constructing a criterion layer judgment matrix include:

[0033] Obtain the traffic convenience, regional attractiveness and residential suitability within one month, and obtain the traffic convenience array, regional attractiveness array and residential suitability array;

[0034] For the traffic convenience array, the regional attractiveness array and the residential suitability array, the ratios between the three parameters of traffic convenience, regional attractiveness and residential suitability are determined;

[0035] constructing a criterion layer judgment matrix based on the ratio;

[0036] Among them, the process of calculating the ratio between the three parameters is:

[0037] The utility value of each parameter is calculated, and then the ratio of the utility values ​​between two parameters is calculated as the calculation result. The calculation process of the utility value is:

[0038] ; In the formula, represents the utility value, is the total number of elements in the array, Indicates the first The probability of an element, , The first The value of an element.

[0039] Furthermore, the step of calculating the comprehensive score of each target area as the passenger flow sharing rate according to the criterion layer judgment matrix and the scheme layer judgment matrix includes:

[0040] Calculate the criterion weights according to the criterion layer judgment matrix;

[0041] Calculate the weight of each target area under each criterion according to the scheme-level judgment matrix;

[0042] The comprehensive score is calculated based on the criterion weights and the weights of each target area under each criterion as the passenger flow sharing rate.

[0043] The technical solution of the present invention also provides a regional passenger flow sharing rate dynamic analysis system based on AHP, the system comprising:

[0044] The target area determination module is used to receive the analysis range input by the user, obtain the zoning information within the analysis range, and determine the target area;

[0045] A convenience analysis module is used to obtain landmark buildings within the analysis range and determine the traffic convenience of each target area based on the landmark buildings;

[0046] The attractiveness analysis module is used to obtain facility information in each target area and determine the attractiveness of the area;

[0047] A suitability analysis module, used to obtain basic information in each target area and determine residential suitability based on the basic information;

[0048] The criterion layer construction module is used to take traffic convenience, regional attractiveness and residential suitability as criteria to obtain the criterion layer and simultaneously construct the criterion layer judgment matrix;

[0049] The scheme layer construction module is used to count the traffic convenience, regional attractiveness and residential suitability of each target area, construct the judgment matrix of different target areas, and obtain the scheme layer judgment matrix;

[0050] The matrix application module is used to calculate the comprehensive score of each target area according to the criterion layer judgment matrix and the scheme layer judgment matrix as the passenger flow sharing rate.

[0051] Furthermore, the convenience analysis module includes:

[0052] A landmark building acquisition unit is used to acquire landmark buildings within the analysis range;

[0053] A starting point selection unit, used to uniformly select starting points in the target area according to a preset test density; the test density represents the number of points in a unit area;

[0054] A path set construction unit, used to randomly generate paths based on a starting point and a landmark building, and obtain a path set with the starting point and the landmark building as labels;

[0055] The path set application unit is used to determine the traffic convenience of the target area according to the time consumption information of all path sets.

[0056] Furthermore, the content of determining the traffic convenience of the target area according to the time consumption information of all path sets includes:

[0057] For any path set, the average speed of each path in the path set at a preset time point is obtained in the map service; the preset time points form an arithmetic progression, the first term is 0, the last term is 24, and the time step is a preset value;

[0058] The convenience of the starting point and landmark buildings is determined by calculating the average speed of each path at the preset time point;

[0059] Count the convenience of all departure points and all landmark buildings as the traffic convenience of the target area;

[0060] The calculation process of the convenience of the starting point and landmark buildings is as follows:

[0061] Create a speed matrix with paths as rows and time as columns, calculate the Frobenius norm of the speed matrix, and determine the convenience based on the proportionality of the Frobenius norm;

[0062] The calculation process of the traffic convenience of the target area is:

[0063] ; In the formula, Indicates the convenience of transportation. Indicates The convenience of the combination of a starting point and a landmark building, represents the total number of departure points, Indicates the total number of landmark buildings.

[0064] Furthermore, the content of obtaining the facility information in each target area and determining the area attractiveness includes:

[0065] Obtain the registered commercial entities in each target area and determine the commercial attractiveness based on the revenue data of the commercial entities;

[0066] Obtain the number of scenic spots and their ratings in each target area, and determine the attractiveness of the scenic spots based on the number of scenic spots and their ratings;

[0067] The content of acquiring basic information in each target area and determining the residential suitability according to the basic information includes:

[0068] Obtain historical weather information for each target area, input the historical weather information into the trained evaluation model, and obtain residential suitability.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] The present invention provides an unmanned indicator determination scheme, specifically traffic convenience, regional attractiveness and residential suitability, which is connected to intelligent statistical equipment to obtain real-time data. Correspondingly, traffic convenience, regional attractiveness and residential suitability will also change in real time. The three indicators are analyzed based on the AHP algorithm, and the passenger flow sharing rate is also changed in real time. This process does not require human participation. Since it involves fewer indicators and is not evaluated by professionals, its accuracy is slightly reduced, but the timeliness is greatly improved. In addition, the workload of the staff is greatly reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0072] Figure 1 The overall flow chart of the regional passenger flow sharing rate dynamic analysis method based on AHP is shown.

[0073] Figure 2 The structural diagram of the regional passenger flow sharing rate dynamic analysis system based on AHP is shown. DETAILED DESCRIPTION

[0074] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0075] Figure 1 The figure is a general flow chart of a method and system for dynamic analysis of regional passenger flow sharing rate based on AHP. In an embodiment of the present invention, a method for dynamic analysis of regional passenger flow sharing rate based on AHP includes:

[0076] Step S100: receiving the analysis range input by the user, obtaining the division information within the analysis range, and determining the target area;

[0077] The analysis scope is a large area, which is input by the user and is generally a set of coordinates. A boundary is determined by the coordinate set as the analysis scope. By obtaining the zoning information within the analysis scope, the area within the analysis scope can be divided into multiple small areas, which are called target areas.

[0078] Step S200: Acquire landmark buildings within the analysis range, and determine the traffic convenience of each target area based on the landmark buildings;

[0079] Landmark buildings are pre-stored in a table. To obtain the landmark buildings in the analysis scope is to query the buildings in the table within the analysis scope. If they are, they are called landmark buildings. The landmark buildings are generally some commercial streets, office buildings, entertainment facilities, etc., which are recognized as "check-in points" in a region. With the help of map services, the difficulty of reaching the landmark buildings in each target area can be obtained, and then the traffic convenience of the target area can be determined. In other words, traffic convenience indicates the difficulty of reaching the landmark buildings in the target area.

[0080] Step S300: Acquire facility information in each target area and determine the area attractiveness;

[0081] Regional attractiveness is related to facility information, which includes commercial facilities (shopping centers, restaurants, entertainment, etc.), scenic spots and tourist resources, educational and medical resources, and residences. By obtaining the quantity and distribution of facility information, the regional attractiveness of the target area can be determined.

[0082] Step S400: acquiring basic information in each target area, and determining residential suitability according to the basic information;

[0083] The basic information of the target area is obtained. The basic information mainly includes climate conditions. Whether the target area is livable can be judged according to the climate conditions, which is represented by the parameter of residential suitability.

[0084] Step S500: using traffic convenience, regional attractiveness and residential suitability as criteria to obtain a criterion layer, and simultaneously constructing a criterion layer judgment matrix;

[0085] Step S600: Counting the traffic convenience, regional attractiveness and residential suitability of each target area, constructing a judgment matrix for different target areas, and obtaining a scheme-level judgment matrix;

[0086] Step S700: Calculate the comprehensive score of each target area according to the criterion layer judgment matrix and the scheme layer judgment matrix as the passenger flow sharing rate;

[0087] Steps S500 to S700 are an analysis process based on the AHP algorithm (analytic hierarchy process), which takes traffic convenience, regional attractiveness and residential suitability as three indicators to calculate the comprehensive scores of different target areas, and uses the calculated comprehensive scores as the passenger flow sharing rate.

[0088] AHP is a decision analysis method that decomposes complex problems into multiple levels and factors. It is particularly suitable for dealing with decision problems that combine objective data with subjective judgment. Its application in the technical solution of the present invention is as follows:

[0089] 1. Build a hierarchical model:

[0090] Target layer: Set the final goal, that is, determine the passenger flow share rate of the target area.

[0091] Criteria layer: Set the key factors that affect passenger flow distribution, which are traffic convenience, regional attractiveness and residential suitability in this application.

[0092] Program level: specific areas or locations, that is, different areas that need to be analyzed and compared, in this application, it is the target area.

[0093] 2. Construct a judgment matrix:

[0094] Based on expert opinions or data analysis, a regional comparison judgment matrix under each criterion is constructed, using a scale of 1 to 9 to indicate the importance of the regions (for example, how many times more important a region is than another region in a certain factor).

[0095] 3. Calculate weights

[0096] The judgment matrix is ​​decomposed by eigenvalues, and the relative weights of each region under each criterion are calculated, thereby obtaining the regional scores of each criterion layer.

[0097] Furthermore, the weight of the criterion layer itself can also be determined through AHP, thereby obtaining the importance weight of each criterion.

[0098] Among them, regarding the calculation method of weight, the conventional scheme is as follows:

[0099] The maximum eigenvalue of the judgment matrix and the eigenvector corresponding to the maximum eigenvalue are calculated. The vector obtained after normalization is the relative weight of each criterion or scheme.

[0100] 4. Comprehensive score calculation

[0101] The comprehensive score of each region is obtained by weighting the scores of each region under different criteria according to the criterion weight.

[0102] In the technical solution of the present invention, a specific calculation scheme for traffic convenience, regional attractiveness and residential suitability is provided, which can obtain the specific traffic convenience, regional attractiveness and residential suitability of each target area, all of which change with time; by self-identifying the three factors of traffic convenience, regional attractiveness and residential suitability, the weight of each parameter, that is, the weight of each criterion can be determined; then, by comparing the values ​​of different target areas under the same parameter (such as traffic convenience), the multiple relationship between the target areas can be calculated, and then the weight of each target area under each parameter can be obtained; finally, for the target area, the product of the criterion weight and the weight of the target area under the criterion is calculated, and then the product corresponding to all criteria is added to obtain a comprehensive value as the passenger flow sharing rate.

[0103] Regarding step S200, the step of acquiring landmark buildings within the analysis range and determining the traffic convenience of each target area based on the landmark buildings includes:

[0104] Get the landmark buildings within the analysis range;

[0105] Uniformly selecting starting points in the target area according to a preset test density; the test density represents the number of points per unit area;

[0106] Randomly generate paths based on the starting point and landmark buildings to obtain a path set with the starting point and landmark buildings as labels;

[0107] The traffic convenience of the target area is determined based on the time consumption information of all path sets.

[0108] The above content limits the calculation scheme of traffic convenience, obtains landmark buildings within the analysis range (a simple data reading process) as the end point (there are multiple points); sets multiple points evenly in a target area according to the preset test density as starting points. At this time, there are multiple starting points and multiple end points. This is a many-to-many relationship. The starting points and end points are paired in pairs to obtain multiple combinations. With the help of existing map services, the travel path of each combination can be obtained. Since the obtained travel path is not unique, a path set can be obtained for each combination; the path sets of all combinations are counted, and the statistical results can reflect the difficulty of reaching the landmark buildings in the target area.

[0109] Specifically, the step of determining the traffic convenience of the target area according to the time consumption information of all path sets includes:

[0110] For any path set, the average speed of each path in the path set at a preset time point is obtained in the map service; the preset time points form an arithmetic progression, the first term is 0, the last term is 24, and the time step is a preset value;

[0111] The convenience of the starting point and landmark buildings is determined by calculating the average speed of each path at the preset time point;

[0112] The convenience of all starting points and all landmark buildings is calculated as the traffic convenience of the target area.

[0113] The above content provides a specific solution for analyzing the path set. For the target area, what needs to be calculated is its relationship with all landmark buildings, which has been abstracted into a path set. For any path set (a set of paths from a starting point to a landmark building), the average speed of each path is obtained in the map service. Due to the presence of peak hours in the morning and evening, the average speed is different at different times. When calculating, it is necessary to calculate the comprehensive situation. The average speed of each path in the path set will be converted into a speed array. Different speeds represent speeds at different times. The path set is converted into a matrix. In the matrix, rows represent different paths and columns represent different times.

[0114] By analyzing the matrix, we can determine the convenience between a starting point and a landmark building. By counting the convenience of all starting points and all landmark buildings, we can calculate the traffic convenience.

[0115] The calculation process of the convenience of the starting point and landmark buildings is as follows:

[0116] Create a speed matrix with paths as rows and time as columns, calculate the Frobenius norm of the speed matrix, and determine the convenience based on the proportionality of the Frobenius norm;

[0117] The calculation process of the traffic convenience of the target area is:

[0118] ; In the formula, Indicates the convenience of transportation. Indicates The convenience of the combination of a starting point and a landmark building, represents the total number of departure points, Indicates the total number of landmark buildings.

[0119] Regarding step S300, the step of obtaining facility information in each target area and determining the area attractiveness includes:

[0120] Obtain the registered commercial entities in each target area and determine the commercial attractiveness based on the revenue data of the commercial entities;

[0121] Obtain the number of scenic spots and their ratings in each target area, and determine the attractiveness of the scenic spots based on the number of scenic spots and their ratings.

[0122] In an example of the technical solution of the present invention, the calculation process of regional attractiveness is simplified, and it is determined that it is only related to business and tourism. The registered commercial entities in each target area are obtained, and the commercial attractiveness is determined based on the revenue data of the commercial entities, and the commercial attractiveness is proportional to the revenue data; the number of scenic spots and scenic spot ratings in each target area are obtained, and the scenic spot attractiveness is determined based on the number of scenic spots and scenic spot ratings. The most common solution is to set a different benchmark value for each scenic spot rating, and the scenic spot attractiveness can be obtained by multiplying the benchmark value by the corresponding number and then adding them up.

[0123] Regarding step S400, the step of obtaining basic information in each target area and determining the residential suitability according to the basic information includes:

[0124] Obtain historical weather information for each target area, input the historical weather information into the trained evaluation model, and obtain residential suitability.

[0125] There are many relationships between weather information and comfort in the prior art. In actual use, the historical weather information of each target area is obtained and directly input into the existing evaluation model to obtain the comfort level. This application defines the output of the evaluation model as residential suitability, which is the same concept as comfort level.

[0126] Regarding step S500, the steps of taking traffic convenience, regional attractiveness and residential suitability as criteria to obtain a criterion layer and simultaneously constructing a criterion layer judgment matrix include:

[0127] Obtain the traffic convenience, regional attractiveness and residential suitability within one month, and obtain the traffic convenience array, regional attractiveness array and residential suitability array;

[0128] The traffic convenience array, regional attractiveness array and Living Suitability Array, determine the ratios between the three parameters of traffic convenience, regional attractiveness and residential suitability;

[0129] A criterion layer judgment matrix is ​​constructed based on the ratio.

[0130] The present application provides a dynamic passenger flow sharing rate analysis solution, which differs from the prior art in that all parameters are updated automatically, and the relationship between parameters also changes accordingly, which causes the final calculated comprehensive score to change accordingly.

[0131] Specifically, the traffic convenience, regional attractiveness and residential suitability within one month are obtained to obtain a traffic convenience array, a regional attractiveness array and a residential suitability array; feature extraction is performed on these three arrays and they are compared two by two to calculate ratios, which are respectively the ratio of traffic convenience to regional attractiveness, the ratio of regional attractiveness to residential suitability, and the ratio of traffic convenience to residential suitability; based on the ratios, a criterion layer judgment matrix can be constructed.

[0132] Among them, after the ratio calculation is completed, the process of constructing the criterion layer judgment matrix is ​​the same as the existing AHP algorithm, so it will not be repeated.

[0133] Among them, the process of calculating the ratio between the three parameters is:

[0134] The utility value of each parameter is calculated, and then the ratio of the utility values ​​between two parameters is calculated as the calculation result. The calculation process of the utility value is:

[0135] ; In the formula, represents the utility value, is the total number of elements in the array, Indicates the first The probability of an element, , The first The value of an element.

[0136] In addition, regarding step S600, the ratio of the values ​​between different target areas under each criterion is calculated, and then the solution layer judgment matrix is ​​constructed. Since the values ​​of the target area under each criterion have been calculated, the ratio can be directly calculated.

[0137] Regarding step S700, the step of calculating the comprehensive score of each target area as the passenger flow sharing rate according to the criterion layer judgment matrix and the scheme layer judgment matrix includes:

[0138] Calculate the criterion weights according to the criterion layer judgment matrix;

[0139] Calculate the weight of each target area under each criterion according to the scheme-level judgment matrix;

[0140] The comprehensive score is calculated based on the criterion weights and the weights of each target area under each criterion as the passenger flow sharing rate.

[0141] The above content explains the final calculation process. After the above content is processed, in the final calculation, the criterion layer judgment matrix and the scheme layer judgment matrix are both known data. The weight calculation is performed on these two matrices to obtain the criterion weight and the weight of each target area under each criterion. Finally, based on the target area, assuming it is area A, read its weight under traffic convenience, multiply it by the weight of traffic convenience itself, and get a value. Then, read its weight under other criteria, multiply it by the weight of the corresponding criterion itself, and get other values. Add up all the values ​​to get a comprehensive score as the passenger flow sharing rate.

[0142] It should be noted that in the technical solution of the present invention, the relationship between the matrix and the weight is not explained (the criterion weight is calculated in the criterion layer judgment matrix and the weight of the target area is calculated in the solution layer judgment matrix). In order to simplify the operation, this application provides a simple method as follows:

[0143] Multiply the elements of each row to get a value, then raise each row product to the nth power, where n represents the total number of row elements. Finally, normalize the calculated values, that is, divide each value by the sum to get the weight of each criterion.

[0144] Figure 2 The structure diagram of the regional passenger flow sharing rate dynamic analysis system based on AHP is shown. In a preferred embodiment of the technical solution of the present invention, a regional passenger flow sharing rate dynamic analysis system based on AHP is also provided. The regional passenger flow sharing rate dynamic analysis system based on AHP 10 includes:

[0145] The target area determination module 11 is used to receive the analysis range input by the user, obtain the division information within the analysis range, and determine the target area;

[0146] A convenience analysis module 12 is used to obtain landmark buildings within the analysis range and determine the traffic convenience of each target area based on the landmark buildings;

[0147] The attractiveness analysis module 13 is used to obtain facility information in each target area and determine the attractiveness of the area;

[0148] The suitability analysis module 14 is used to obtain basic information in each target area and determine the residential suitability according to the basic information;

[0149] The criterion layer construction module 15 is used to take traffic convenience, regional attractiveness and residential suitability as criteria to obtain a criterion layer and simultaneously construct a criterion layer judgment matrix;

[0150] A scheme layer construction module 16 is used to count the traffic convenience, regional attractiveness and residential suitability of each target area, construct a judgment matrix for different target areas, and obtain a scheme layer judgment matrix;

[0151] The matrix application module 17 is used to calculate the comprehensive score of each target area according to the criterion layer judgment matrix and the scheme layer judgment matrix as the passenger flow sharing rate.

[0152] Furthermore, the convenience analysis module 12 includes:

[0153] A landmark building acquisition unit is used to acquire landmark buildings within the analysis range;

[0154] A starting point selection unit, used to uniformly select starting points in the target area according to a preset test density; the test density represents the number of points in a unit area;

[0155] A path set construction unit, used to randomly generate paths based on a starting point and a landmark building, and obtain a path set with the starting point and the landmark building as labels;

[0156] The path set application unit is used to determine the traffic convenience of the target area according to the time consumption information of all path sets.

[0157] Specifically, the content of determining the traffic convenience of the target area according to the time consumption information of all path sets includes:

[0158] For any path set, the average speed of each path in the path set at a preset time point is obtained in the map service; the preset time points form an arithmetic progression, the first term is 0, the last term is 24, and the time step is a preset value;

[0159] The convenience of the starting point and landmark buildings is determined by calculating the average speed of each path at the preset time point;

[0160] Count the convenience of all departure points and all landmark buildings as the traffic convenience of the target area;

[0161] The calculation process of the convenience of the starting point and landmark buildings is as follows:

[0162] Create a speed matrix with paths as rows and time as columns, calculate the Frobenius norm of the speed matrix, and determine the convenience based on the proportionality of the Frobenius norm;

[0163] The calculation process of the traffic convenience of the target area is:

[0164] ; In the formula, Indicates the convenience of transportation. Indicates The convenience of the combination of a starting point and a landmark building, represents the total number of departure points, Indicates the total number of landmark buildings.

[0165] Furthermore, the content of obtaining the facility information in each target area and determining the area attractiveness includes:

[0166] Obtain the registered commercial entities in each target area and determine the commercial attractiveness based on the revenue data of the commercial entities;

[0167] Obtain the number of scenic spots and their ratings in each target area, and determine the attractiveness of the scenic spots based on the number of scenic spots and their ratings;

[0168] The content of acquiring basic information in each target area and determining the residential suitability according to the basic information includes:

[0169] Obtain historical weather information for each target area, input the historical weather information into the trained evaluation model, and obtain residential suitability.

[0170] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A dynamic analysis method of regional passenger flow sharing rate based on AHP, characterized in that: The method comprises: Receive the analysis range input by the user, obtain the zoning information within the analysis range, and determine the target area; Acquire landmark buildings within the analysis range, and determine the traffic convenience of each target area based on the landmark buildings; Obtain facility information in each target area and determine the area's attractiveness; Obtaining basic information in each target area, and determining residential suitability based on the basic information; Taking traffic convenience, regional attractiveness and residential suitability as criteria, we get the criterion layer and construct the criterion layer judgment matrix simultaneously; The traffic convenience, regional attractiveness and residential suitability of each target area are counted, and the judgment matrix of different target areas is constructed to obtain the scheme-level judgment matrix; According to the criterion layer judgment matrix and the scheme layer judgment matrix, the comprehensive score of each target area is calculated as the passenger flow sharing rate; The step of acquiring landmark buildings within the analysis range and determining the traffic convenience of each target area based on the landmark buildings comprises: Get the landmark buildings within the analysis range; Uniformly selecting starting points in the target area according to a preset test density; the test density represents the number of points per unit area; Randomly generate paths based on the starting point and landmark buildings to obtain a path set with the starting point and landmark buildings as labels; Determine the traffic convenience of the target area based on the time consumption information of all path sets; The step of determining the traffic convenience of the target area according to the time consumption information of all path sets includes: For any path set, the average speed of each path in the path set at a preset time point is obtained in the map service; the preset time points form an arithmetic progression, the first term is 0, the last term is 24, and the time step is a preset value; The convenience of the starting point and landmark buildings is determined by calculating the average speed of each path at the preset time point; Count the convenience of all departure points and all landmark buildings as the traffic convenience of the target area; The calculation process of the convenience of the starting point and landmark buildings is as follows: Create a speed matrix with paths as rows and time as columns, calculate the Frobenius norm of the speed matrix, and determine the convenience based on the proportionality of the Frobenius norm; The calculation process of the traffic convenience of the target area is: ; In the formula, Indicates the convenience of transportation. Indicates The convenience of the combination of a starting point and a landmark building, represents the total number of departure points, Indicates the total number of landmark buildings.

2. A regional passenger flow sharing rate dynamic analysis system based on AHP, characterized in that: The system comprises: The target area determination module is used to receive the analysis range input by the user, obtain the zoning information within the analysis range, and determine the target area; A convenience analysis module is used to obtain landmark buildings within the analysis range and determine the traffic convenience of each target area based on the landmark buildings; The attractiveness analysis module is used to obtain facility information in each target area and determine the attractiveness of the area; A suitability analysis module, used to obtain basic information in each target area and determine residential suitability based on the basic information; The criterion layer construction module is used to take traffic convenience, regional attractiveness and residential suitability as criteria to obtain the criterion layer and simultaneously construct the criterion layer judgment matrix; The scheme layer construction module is used to count the traffic convenience, regional attractiveness and residential suitability of each target area, construct the judgment matrix of different target areas, and obtain the scheme layer judgment matrix; The matrix application module is used to calculate the comprehensive score of each target area according to the criterion layer judgment matrix and the scheme layer judgment matrix as the passenger flow sharing rate; The convenience analysis module includes: A landmark building acquisition unit is used to acquire landmark buildings within the analysis range; A starting point selection unit, used to uniformly select starting points in the target area according to a preset test density; the test density represents the number of points in a unit area; A path set construction unit, used to randomly generate paths based on a starting point and a landmark building, and obtain a path set with the starting point and the landmark building as labels; A path set application unit is used to determine the traffic convenience of the target area according to the time consumption information of all path sets; The content of determining the traffic convenience of the target area according to the time consumption information of all path sets includes: For any path set, the average speed of each path in the path set at a preset time point is obtained in the map service; the preset time points form an arithmetic progression, the first term is 0, the last term is 24, and the time step is a preset value; The convenience of the starting point and landmark buildings is determined by calculating the average speed of each path at the preset time point; Count the convenience of all departure points and all landmark buildings as the traffic convenience of the target area; The calculation process of the convenience of the starting point and landmark buildings is as follows: Create a speed matrix with paths as rows and time as columns, calculate the Frobenius norm of the speed matrix, and determine the convenience based on the proportionality of the Frobenius norm; The calculation process of the traffic convenience of the target area is: ; In the formula, Indicates the convenience of transportation. Indicates The convenience of the combination of a starting point and a landmark building, represents the total number of departure points, Indicates the total number of landmark buildings.

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