Commuting circle range determination method and device based on interaction of commuting population and land

Abstract

The invention discloses a commuting circle range determination method and device based on commuting population and land use interaction. The method comprises the steps that a target area is divided into a plurality of minimum space units with villages and towns as basic units; generating an initial commuting circle range according to the space structure, the commuting traffic form and / or the traffic facility conditions; generating an optimized commuting circle range according to the commuting crowd distribution and / or the commuting travel intensity; and adding other space units related to the major development strategy into the optimized commuting circle range, and generating a commuting circle division result. According to the invention, on the basis of a one-hour traffic reachable range, commuting contact strength is taken as a main monitoring index, big data and a traffic big model are fully utilized to identify entity areas which are continuously distributed with a central city and have close contact with commuting of people, and regional strategic development requirements are considered as a whole; the space scale of the commuting circle is controlled on the premise of reasonably exerting the vehicle efficiency, a basis is provided for the layout of traffic facilities of the commuting circle, and the commuting travel service quality is improved.

Description

Technical Field

[0001] The present invention relates to the field of urban traffic planning, and particularly to a method and device for determining the scope of a commuting circle based on the interaction between commuting population and land use. Background Art

[0002] In planning practice, the definition of the scope of an urban agglomeration is related to the construction standards and planning schemes of transportation infrastructure, and has a significant impact on aspects such as enhancing the energy level of the central city and surrounding cities, industrial transformation and upgrading, and expanding the urban development space. In the prior art, the cultivation and development of an urban agglomeration are based on a 1-hour commuting circle as the basic scope. For example, the "1-hour commuting circle" is divided according to the 1-hour traffic accessibility range from the central city. This division method is difficult to apply to the characteristics of Chinese towns. Through big data empirical research on 320 million commuting populations across the country, it is found that the definition of a 1-hour commuting circle is too general, and the scope of one or more cities and hundreds of thousands of square kilometers is quite different from the concept of a commuting circle. In the current major cities in China, the spatial scale of 1-hour commuting does not exceed 25 kilometers. The existing methods for determining the scope of a commuting circle are difficult to accurately define the commuting circle of a city, and there are phenomena such as "commuting without reaching" and "reaching without commuting", and problems such as low efficiency and high cost are more obvious. Therefore, comprehensively considering the development stage and future development trend of the commuting circle, objectively and accurately grasping the connotative characteristics of the commuting circle, and scientifically delimiting the scope of the commuting circle are of great significance. Summary of the Invention

[0003] The present invention provides a method and device for determining the scope of a commuting circle based on the interaction between commuting population and land use, and solves the above-mentioned technical problems.

[0004] The first aspect of the embodiment of the present invention provides a method for determining the scope of a commuting circle based on the interaction between commuting population and land use, including the following steps: Step 1, taking the target city as the center and dividing the target area into multiple traffic zones with townships as the basic units, and each traffic zone contains multiple minimum spatial units; Step 2, selecting a first target spatial unit from the multiple minimum spatial units according to the spatial structure, commuting traffic pattern and / or traffic facility conditions to generate an initial commuting circle scope; Step 3, calculating the commuting parameters of each spatial unit within the initial commuting circle scope according to the commuting population distribution and / or commuting travel intensity, and selecting a second target spatial unit whose commuting parameters meet the preset conditions to generate an optimized commuting circle scope; Step 4, obtaining the target development area and supplementing the minimum spatial units included in the target development area into the optimized commuting circle scope to generate a commuting circle division result.

[0005] In the second aspect of the embodiments of the present invention, there is provided a computer-readable storage medium storing a computer program, which when executed by a processor, implements the above-mentioned method for determining the commuting circle range based on the interaction between commuting population and land use.

[0006] In the third aspect of the embodiments of the present invention, there is provided a device including a computer-readable storage medium and a processor, and when the processor executes the computer program on the computer-readable storage medium, the steps of the above-mentioned method for determining the commuting circle range based on the interaction between commuting population and land use are implemented.

[0007] In the fourth aspect of the embodiments of the present invention, there is provided a device for determining the commuting circle range based on the interaction between commuting population and land use, including a division module, a first selection module, a second selection module, and a range determination module. The division module is used to center on the target city and divide the target area into multiple traffic zones with townships as the basic units, and each traffic zone contains multiple minimum spatial units. The first selection module is used to select the first target spatial unit from the multiple minimum spatial units according to the spatial structure, commuting traffic pattern, and / or traffic facility conditions, and generate an initial commuting circle range. The second selection module is used to calculate the commuting parameters of each spatial unit within the initial commuting circle range according to the commuting population distribution and / or commuting travel intensity, and select the second target spatial unit whose commuting parameters meet the preset conditions to generate an optimized commuting circle range. The range determination module is used to obtain the target development area and supplement the minimum spatial units included in the target development area into the optimized commuting circle range to generate the commuting circle division result.

[0008] The beneficial effects of the present invention are as follows: The present invention provides a method and device for determining the commuting circle range based on the interaction between commuting population and land use. Based on the 1-hour traffic accessibility range and with the commuting connection intensity as the main monitoring index, it makes full use of big data and traffic big models to identify the physical areas that are continuously distributed with the central city and have close commuting connections among people, and overall considers the requirements of regional strategic development. On the premise of reasonably exerting the efficiency of transportation tools, it controls the spatial scale of the commuting circle, provides a basis for the layout of commuting circle traffic facilities, improves the quality of commuting travel services, and constructs a multi-level integrated regional commuting traffic network.

[0009] To make the above objects, features, and advantages of the invention more obvious and understandable, the following specifically gives preferred embodiments of the present invention and, in conjunction with the accompanying drawings, makes a detailed description as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the embodiments. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0011] Figure 1 is a schematic flowchart of the commuting circle range determination method provided in Embodiment 1; Figure 2 is a schematic structural diagram of the commuting circle range determination device provided in Embodiment 2; Figure 3 is a schematic structural diagram of the commuting circle range determination device provided in Embodiment 3. Detailed Embodiments

[0012] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be 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 used to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0013] It should be noted that if there is no conflict, the various features in the embodiments of the present invention can be combined with each other, and all are within the protection scope of the present invention. In addition, although functional module division is carried out in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from the module division in the device or the flowchart. Furthermore, the terms "first", "second", "third", etc. used in the present invention do not limit the data and execution order, but only distinguish the same items or similar items with basically the same functions and effects.

[0014] Figure 1 is a schematic flowchart of a method for determining the commuting circle range based on the interaction between commuting population and land use provided in Embodiment 1. As Figure 1 shown, it includes the following steps: Step 1: Taking the target city as the center and dividing the target area into multiple traffic zones with townships as the basic units, and each traffic zone contains multiple minimum spatial units; Step 2: Selecting the first target spatial unit from the multiple minimum spatial units according to the spatial structure, commuting traffic pattern, and / or traffic facility conditions to generate an initial commuting circle range; Step 3: Calculate the commuting parameters of each spatial unit within the initial commuting circle based on the distribution of commuting population and / or commuting travel intensity, and select the second target spatial units whose commuting parameters meet the preset conditions to generate an optimized commuting circle range. Step 4: Obtain the target development area, and supplement the smallest spatial units included in the target development area into the optimized commuting circle range to generate the commuting circle division result.

[0015] The above embodiments provide a method for determining the commuting circle range based on the interaction between commuting population and land use. A target area is established based on the 1-hour traffic accessibility range, with the commuting connection intensity as the main monitoring index. Big data and traffic big models are fully utilized to identify the entity areas that are continuously distributed with the central city and have close commuting connections among people. Considering the requirements of regional strategic development as a whole, the spatial scale of the commuting circle is controlled on the premise of reasonably exerting the efficiency of transportation tools, providing a basis for the layout of commuting circle transportation facilities, improving the quality of commuting travel services, and constructing a multi-level integrated regional commuting transportation network.

[0016] The following uses specific embodiments to elaborate on each step of the above method in detail.

[0017] Exemplarily, in Step 1, the administrative center or commercial center of the target city can be selected as the starting point to radiate a preset radius outward to determine the target area, and then the target area is divided into multiple smallest spatial units with townships as the basic units.

[0018] In a specific embodiment, Step 2 specifically includes the following steps: S201: Obtain the basic data of each smallest spatial unit, where the basic data includes GIS spatial partition data, land use data, population data, and transportation facility data.

[0019] Exemplarily, here the GIS spatial partition data includes the number and distribution of the smallest spatial units included in each traffic cell. A traffic cell (Traffic Analysis Zone, TAZ) is a basic geographical unit divided according to factors such as population, land use, and traffic demand to better analyze and plan the traffic system. The land use data includes the land use types included in each smallest spatial unit, the land area corresponding to each land use type, the benchmark plot ratio, etc. The population data includes the current population and job status data, such as the distribution, quantity, structure, and change trend of the population and employment positions. And the transportation facility data includes rail, bus network facilities, road network supply and operation data, etc.

[0020] S202: Calculate the land - traffic interaction characteristics of each smallest spatial unit according to the basic data, where the land - traffic interaction characteristics include population flow intensity, public transportation accessibility index, and traffic operation load.

[0021] Exemplarily, the first formula for calculating the population flow intensity is as follows: (1) Wherein, is the population flow intensity of the th spatial unit, is the land area of the th plot of land use type , is the benchmark plot ratio of the th plot of land use type .

[0022] The calculation of the public transportation accessibility index is as follows: (2) Wherein, is the public transportation accessibility index of the th spatial unit, represents the transfer coefficient of the type of transportation mode, is the minimum number of spatial units within the area.

[0023] Exemplarily, the calculation of the traffic operation load degree is as follows: (3) Wherein, is the traffic operation load degree of the th spatial unit, represents the start and end points of the road section, is the road grade correction coefficient of the road section ; is the road congestion index correction coefficient of the road section , represents the traffic flow of road section xy, represents the traffic capacity of road section xy. In a specific embodiment, the road types can be divided into expressways, arterial roads, sub-arterial roads, and branch roads, and the road grade correction coefficients corresponding to each type of road are preferably set to 0.8, 1.0, 0.9, and 0.7 according to historical experience data. And according to the level of road congestion, the road congestion index correction coefficient can be taken as 0.5 - 1.0 respectively.

[0024] Then execute S203 to generate a comprehensive score for each minimum spatial unit based on the land - traffic interaction characteristics.

[0025] Exemplarily, in a preferred embodiment, the comprehensive score of each minimum spatial unit is generated as follows: ， wherein, is the comprehensive score of each minimum spatial unit, and A1, A2, and A3 are the influence weights of population flow intensity, public transportation accessibility index, and traffic operation load respectively.

[0026] Specifically, combining the expert scoring method and the empirical method, importance scores are given to the above three indicators to obtain the influence weights of each type of indicator. In a preferred embodiment, the influence weights of the three indicators of population flow intensity, public transportation accessibility index, and traffic operation load are 0.4, 0.4, and 0.2 respectively, and the division effect of the commuting circle is more reasonable.

[0027] Finally, execute S204, select the first target spatial unit according to the comparison result of the comprehensive score and the preset score, and determine the initial commuting circle range, so as to preliminarily delimit the alternative range of the 1-hour commuting circle.

[0028] In a preferred embodiment, in step 3, the travel big data of the target area is first collected, and after cleaning the travel big data, the number of commuters from each minimum spatial unit, that is, the traffic community, to the target city can be calculated, so as to obtain the commuter population distribution state and / or the commuter travel intensity state.

[0029] Exemplarily, the commuting parameters in step 3 include at least one of commuting density, commuting rate, and commuting scale, and appropriate reference thresholds are set for each commuting parameter according to historical data. For example, for the commuting density of each traffic community, density isolines can be generated with 60 / km 2 as the contour interval. Observe the mutation points of the centripetal commuting continuity of the density isoline map. This mutation point indicates that there is no isoline around the target city outside this isoline, and the commuting circle is divided based on this.

[0030] For the commuting rate of each traffic community, considering the spatial layout and regional development characteristics of the commuting circle and the target city, and combining the development stage and future development prediction of the commuting circle, the commuting rate threshold for each traffic community flowing into the target city can be taken as 2.0% to identify the commuting circle range.

[0031] In another embodiment, for the commuting scale of each traffic community, the corresponding reference threshold can be set to 1000 people. In this way, the corresponding preset conditions include: First preset condition: commuting density ≥ 60 / km 2 ; Second preset condition: commuting rate ≥ 2.0%; Third preset condition: commuting scale ≥ 1000; Then, select the second target spatial unit within the initial commuting circle range whose commuting parameters satisfy at least two of the preset conditions, and generate the optimized commuting circle range. Of course, in other embodiments, according to the requirements of commuting circle planning, the spatial layout characteristics and regional development characteristics of the target city, and based on the current development stage and future development prediction of the commuting circle, query the pre-established data model or data table to generate the corresponding reference threshold. Here, the data model and data table can also be constructed based on historical data or empirical data.

[0032] Exemplarily, in a preferred embodiment, the commuting density is calculated as: , The commuting rate is calculated as: ， where, is the commuting density of the th spatial unit, is the commuting rate of the th spatial unit, is the commuting volume of the th spatial unit, that is, the number of commuters traveling from the corresponding spatial unit to the target city, is the floor area of the th spatial unit, is the permanent resident population of the th spatial unit.

[0033] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0034] The embodiment of the present invention also provides a computer-readable storage medium storing a computer program, which when executed by a processor, implements the above-mentioned method for determining the commuting circle range based on the interaction between commuting population and land use.

[0035] Figure 2 is a schematic structural diagram of the commuting circle range determination device provided in Embodiment 2. As Figure 2 shown, it includes a division module 100, a first selection module 200, a second selection module 300, and a range determination module 400. The division module 100 is used to divide the target area into multiple traffic zones with the target city as the center and towns as the basic units. Each traffic zone contains multiple minimum spatial units. The first selection module 200 is configured to select a first target spatial unit from the multiple minimum spatial units according to the spatial structure, commuting traffic pattern, and / or traffic facility conditions, and generate an initial commuting circle range. The second selection module 300 is configured to calculate the commuting parameters of each spatial unit within the initial commuting circle range according to the commuting population distribution and / or commuting travel intensity, and select a second target spatial unit whose commuting parameters meet the preset conditions to generate an optimized commuting circle range. The range determination module 400 is configured to obtain a target development area, and supplement the minimum spatial units included in the target development area into the optimized commuting circle range to generate a commuting circle division result.

[0036] The above embodiments provide a device for determining the commuting circle range based on the interaction between commuting population and land use. Based on the 1-hour traffic accessibility range and taking the commuting connection intensity as the main monitoring index, it makes full use of big data and traffic big models to identify the physical areas that are continuously distributed with the central city and have close commuting connections among people, and overall considers the requirements of regional strategic development. On the premise of reasonably exerting the efficiency of transportation tools, it controls the spatial scale of the commuting circle, provides a basis for the layout of commuting circle traffic facilities, improves the quality of commuting travel services, and constructs a multi-level integrated regional commuting traffic network.

[0037] In a preferred embodiment, the first selection module 200 specifically includes: A first acquisition unit, configured to acquire the basic data of each minimum spatial unit, where the basic data includes GIS spatial partition data, land use data, population data, and traffic facility data. A first calculation unit, configured to calculate the land-use - traffic interaction characteristics of each minimum spatial unit according to the basic data, where the land-use - traffic interaction characteristics include population flow intensity, public transportation accessibility index, and traffic operation load. A second calculation unit, configured to generate a comprehensive score for each minimum spatial unit based on the land-use - traffic interaction characteristics. A first generation unit, configured to select a first target spatial unit according to the comparison result between the comprehensive score and a preset score value, and determine the initial commuting circle range.

[0038] In a preferred embodiment, the second selection module 300 includes a second acquisition unit, and the second acquisition unit is configured to query a pre-established data model or data table according to the commuting circle planning requirements, the spatial layout characteristics and regional development characteristics of the target city, and based on the current development stage and future development prediction of the commuting circle, to generate corresponding first reference threshold, second reference threshold, and / or third reference threshold.

[0039] It should be noted that the foregoing explanatory description of the embodiment of the method for determining the commuting circle range based on the interaction between commuting population and land use is also applicable to the device for determining the commuting circle range based on the interaction between commuting population and land use in the above embodiment, and will not be elaborated herein.

[0040] An embodiment of the present invention further provides a device for determining the commuting circle range, including a computer-readable storage medium and a processor. When the processor executes a computer program on the computer-readable storage medium, the steps of the above-mentioned method for determining the commuting circle range based on the interaction between commuting population and land use are implemented.

[0041] Figure 3 FIG. is a schematic structural diagram of the device for determining the commuting circle range based on the interaction between commuting population and land use provided in Embodiment 3 of the present invention. As Figure 3 shown, the device 8 for determining the commuting circle range based on the interaction between commuting population and land use in this embodiment includes: a processor 80, a readable storage medium 81, and a computer program 82 stored in the readable storage medium 81 and executable on the processor 80. When the processor 80 executes the computer program 82, the steps in the above-mentioned various method embodiments are implemented, for example Figure 1 the steps shown. Alternatively, when the processor 80 executes the computer program 82, the functions of each module in the above-mentioned various device embodiments are implemented, for example Figure 2 the functions of the shown module.

[0042] Exemplarily, the computer program 82 can be divided into one or more modules. The one or more modules are stored in the readable storage medium 81 and executed by the processor 80 to complete the present invention. The one or more modules can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 82 in the device 8 for determining the commuting circle range based on the interaction between commuting population and land use.

[0043] The device 8 for determining the commuting circle range may include, but is not limited to, a processor 80 and a readable storage medium 81. Those skilled in the art can understand that Figure 3 merely an example of the device 8 for determining the commuting circle range based on the interaction between commuting population and land use, and does not constitute a limitation on the device 8 for determining the commuting circle range based on the interaction between commuting population and land use. It may include more or fewer components than shown, or combine certain components, or different components. For example, the device for determining the commuting circle range based on the interaction between commuting population and land use may further include a power management module, an arithmetic processing module, an input / output device, a network access device, a bus, etc.

[0044] The so-called processor 80 may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0045] The readable storage medium 81 may be an internal storage unit of the commuting circle range determination device 8 based on the interaction between commuting population and land use, such as the hard disk or memory of the commuting circle range determination device 8 based on the interaction between commuting population and land use. The readable storage medium 81 may also be an external storage device of the commuting circle range determination device 8 based on the interaction between commuting population and land use, such as a plug-in hard disk, SmartMedia Card (SMC), Secure Digital (SD) card, Flash Card, etc. equipped on the commuting circle range determination device 8 based on the interaction between commuting population and land use. Further, the readable storage medium 81 may also include both the internal storage unit of the commuting circle range determination device 8 based on the interaction between commuting population and land use and the external storage device. The readable storage medium 81 is used to store the computer program and other programs and data required by the commuting circle range determination device based on the interaction between commuting population and land use. The readable storage medium 81 may also be used to temporarily store the data that has been output or is to be output.

[0046] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In practical applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit. The above integrated unit may be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiment.

[0047] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not described or recorded in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0048] Those of ordinary skill in the art can realize that the units and method steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0049] In the embodiments provided by the present invention, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0050] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0051] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0052] The present invention is not limited only to what is described in the specification and embodiments. Therefore, for those familiar with the field, additional advantages and modifications can be easily achieved. Therefore, without departing from the spirit and scope of the general concept defined by the claims and their equivalents, the present invention is not limited to specific details, representative devices, and the illustrated examples shown and described herein.

Claims

1. A method for determining the scope of a commuting circle based on the interaction between commuting population and land use, characterized in that, It includes the following steps: Step 1: Centering on the target city and taking townships as basic units, divide the target area into multiple traffic zones, and each traffic zone contains multiple minimum spatial units; Step 2: Select the first target spatial unit from the multiple minimum spatial units according to the spatial structure, commuting traffic pattern, and / or traffic facility conditions to generate the initial commuting circle range; Step 3: Calculate the commuting parameters of each spatial unit within the initial commuting circle range according to the commuting population distribution and / or commuting travel intensity, and select the second target spatial unit whose commuting parameters meet the preset conditions to generate the optimized commuting circle range; Step 4: Obtain the target development area, and supplement the minimum spatial units included in the target development area into the optimized commuting circle range to generate the commuting circle division result.

2. The commuting circle range determination method according to claim 1, wherein The specific steps of Step 2 include the following: Obtain the basic data of each minimum spatial unit, and the basic data includes GIS spatial partition data, land use data, population data, and traffic facility data; Calculate the land-use - traffic interaction characteristics of each minimum spatial unit according to the basic data, and the land-use - traffic interaction characteristics include population flow intensity, public transport accessibility index, and traffic operation load; Generate the comprehensive score of each minimum spatial unit based on the land-use - traffic interaction characteristics; Select the first target spatial unit according to the comparison result between the comprehensive score and the preset score, and determine the initial commuting circle range.

3. The commuting circle range determination method according to claim 2, wherein Calculate the population flow intensity as follows: ， Among them, is the population flow intensity of the th spatial unit, is the land use area of the th plot of land use type , and is the base floor area ratio of the th plot of land use type . Calculate the public transport accessibility index as follows: ， Among them, is the public transport accessibility index of the th spatial unit, represents the transfer coefficient of the type of transportation mode, is the minimum number of spatial units in the area; Calculate the traffic operation load as follows: ， Among them, is the traffic operation load degree of the th spatial unit, represents the start and end points of the road section, is the road grade correction coefficient of the road section ; is the road congestion index correction coefficient of the road section ; represents the traffic flow of road section xy, represents the traffic capacity of road section xy.

4. The commuting circle range determination method according to claim 2, wherein, Generate the comprehensive score of each minimum spatial unit as follows: ， Among them, is the comprehensive score of each minimum spatial unit, and A1, A2, and A3 are the influence weights of population flow intensity, public transport accessibility index, and traffic operation load respectively.

5. The commuting circle range determination method according to claim 1, wherein The commuting parameters include commuting density, commuting rate, and commuting scale, and the preset conditions at least include: The first preset condition: commuting density ≥ the first reference threshold; The second preset condition: commuting rate ≥ the second reference threshold; The third preset condition: commuting scale ≥ the third reference threshold; In Step 3, select the second target spatial unit within the initial commuting circle range whose commuting parameters meet at least two of the preset conditions, and generate the optimized commuting circle range.

6. The commuting circle range determination method according to claim 5, wherein Calculate the commuting density as: ， Calculate the commuting rate as: ， Among them, is the commuting density of the th spatial unit, is the commuting rate of the th spatial unit, is the commuting generation volume of the th spatial unit, is the floor area of the th spatial unit, is the permanent resident population of the th spatial unit.

7. The commuting circle range determination method according to claim 5, wherein According to the commuting circle planning requirements, the spatial layout characteristics and regional development characteristics of the target city, and based on the current development stage and future development prediction of the commuting circle, query the pre-established data model or data table to generate the corresponding first reference threshold, second reference threshold, and / or third reference threshold.

8. A commuting circle range determination device based on the interaction between commuting population and land use, based on the commuting circle range determination method according to any one of claims 1-7, characterized in that, It includes a division module, a first selection module, a second selection module, and a range determination module, The division module is used to center on the target city and take townships as basic units to divide the target area into multiple traffic zones, and each traffic zone contains multiple minimum spatial units; The first selection module is used to select the first target spatial unit from the multiple minimum spatial units according to the spatial structure, commuting traffic pattern, and / or traffic facility conditions to generate the initial commuting circle range; The second selection module is configured to calculate commuting parameters of each spatial unit within the initial commuting circle according to the distribution of commuting population and / or commuting travel intensity, and select second target spatial units whose commuting parameters meet preset conditions, so as to generate an optimized commuting circle range; The range determination module is configured to obtain a target development area, and supplement the smallest spatial unit included in the target development area into the optimized commuting circle range to generate a commuting circle division result.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, the method for determining a commuting circle range according to any one of claims 1-7 above is implemented.

10. An apparatus, comprising a computer-readable storage medium and a processor, characterized in that, When the processor executes the computer program on the computer-readable storage medium, the steps of the method for determining a commuting circle range according to any one of claims 1-7 above are implemented.

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