CN115438938A - Urban TOD mode development suitability-oriented evaluation method and system - Google Patents
Urban TOD mode development suitability-oriented evaluation method and system Download PDFInfo
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Abstract
The invention relates to the technical field of urban development, and provides an urban TOD mode development suitability-oriented evaluation method and system, which comprises the following steps: acquiring an online map or aerial picture of the location of an evaluation target; identifying continuous linear channels in the online map or aerial picture, and counting the linear channels exceeding the research range to obtain the number of external channels; identifying traffic icons in the online map, and counting the traffic icons to obtain the number of traffic mode types; calculating the road network density and road gradation of the location of the evaluation target based on the length and width of the identified linear channel in the research range, and judging whether the road network density and road gradation are unreasonable; forming basic data of the location of an evaluation target by the number of external channels, the number of traffic mode types, whether the road network density is unreasonable or not and whether the road grading is unreasonable or not; and calculating and developing suitability evaluation indexes based on the preprocessed data. And the comprehensive and real-time evaluation of the urban TOD mode development suitability is realized.
Description
Technical Field
The invention belongs to the technical field of urban development, and particularly relates to an urban TOD mode-oriented development suitability evaluation method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
The TOD mode is an urban development mode guided by public transport (including rail transit such as railway stations, airports, subways and light rails and public transportation main lines). The TOD mode matches the urban development strength with the traffic bearing capacity, improves the resource allocation efficiency, optimizes the urban space form, guides people flow and the state to gather to the peripheral area of the station, creates a better walking environment and guides the efficient utilization of urban land.
The implementation of the TOD mode can effectively relieve the space pressure of the city, control the disordered spreading of the city, deepen the further utilization of the urban land resources, improve the ecological environment and the like, and solve a plurality of problems caused by the disordered development of the city.
In order to exert the huge gathering driving effect of the TOD mode, the TOD mode must be developed to perform better suitability evaluation in the decision phase. However, the conventional evaluation method has the following drawbacks: only data in related data can be acquired, and operation data which can be used for suitability evaluation in real-time scenes of the location of an evaluation target cannot be accurately identified, so that the suitability cannot be evaluated in real time; the universality is paid much attention, and the demand difference and the applicable condition difference of different regions are neglected; the evaluation level is too single, some are the evaluation to the traffic hub, some are the evaluation based on the built environment, some are the evaluation to the site link design, develop the adaptability evaluation systematically less, lack the analysis to land policy and key element problem at the same time.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides an evaluation method and system for urban TOD mode development suitability, which acquire land policies and procedures, development schemes, investment and operation modes of an evaluation target location by collecting data in a multi-channel and multi-mode manner, integrate regional location environment and surrounding construction environment by a butt joint on-line map and image recognition method, convert data which can be acquired from the existing data to real-time operation data of the target location, and realize comprehensive and real-time evaluation of urban TOD mode development suitability.
In order to achieve the purpose, the invention adopts the following technical scheme:
the first aspect of the present invention provides an evaluation method for suitability for urban TOD mode development, comprising:
acquiring an online map or aerial picture including the location of an evaluation target;
identifying continuous linear channels in the online map or aerial picture, and counting the linear channels exceeding the research range to obtain the number of external channels; identifying traffic icons in the online map, and counting the traffic icons to obtain the number of traffic mode types; calculating the road network density and road gradation of the location of the evaluation target based on the length and width of the identified linear channel in the research range, and judging whether the road network density and road gradation are unreasonable; forming basic data of the location of an evaluation target by the number of external channels, the number of traffic mode types, whether the road network density is unreasonable or not and whether the road grading is unreasonable or not;
performing data preprocessing on all basic data;
and calculating and developing suitability evaluation indexes based on the preprocessed data.
Further, the specific method for determining whether the road network density is unreasonable includes:
intercepting an online map or aerial picture in a research range, and identifying a continuous linear channel;
calculating the length of each linear channel, and combining the size of the line map or the aerial picture with the real area of the research range to obtain the length of the road corresponding to each linear channel;
and calculating the total road network density of the place where the evaluation target is located according to the total lengths of all the roads, and combining a set road network density standard to obtain a result of whether the road network density is unreasonable.
Further, the specific method for judging whether the road grading is unreasonable includes:
intercepting an online map or aerial picture in a research range, and identifying a continuous linear channel;
calculating the length of each linear channel, and combining the size of the line map or the aerial image with the real area of the research range to obtain the length of the road corresponding to each linear channel;
calculating the width of each linear channel, and combining the size of the line map or the aerial image with the real area of the research range to obtain the width of the road corresponding to each linear channel;
obtaining the category of each road according to the width of the road and a set division standard;
and calculating the road network density of each type of the road where the evaluation target is located according to the total length of the road of each type, calculating road grading, and combining the set road grading standard to obtain the result of whether the road grading is unreasonable.
Further, the basic data also comprises the number of files which are issued by the TOD mode-related policy, and whether the target location is related to planning adjustment, whether the target location is related to sign-up and dismantling, whether the target location is related to archaeology and whether the target location is related to geological protection.
Further, the development suitability evaluation index is a comprehensive evaluation index obtained based on a policy support degree index, an environment integrating degree index, a linking degree index, a land utilization efficiency index, a project value and a profit index.
Further, the data preprocessing comprises data format standardization and index value standardization;
the data format standardization mainly comprises the steps of quantifying qualitative data and converting quantitative data;
the index value standardization is mainly to standardize data after the data format is standardized by a z-score method.
Further, the method also comprises the following steps: and judging whether the evaluation target location is suitable for development or not based on the development suitability evaluation index obtained by calculation.
A second aspect of the present invention provides an evaluation system for suitability for urban TOD mode development, comprising:
an image acquisition module configured to: acquiring an online map or aerial picture of the location of an evaluation target;
a base data acquisition module configured to: identifying continuous linear channels in the online map or aerial picture, and counting the linear channels exceeding the research range to obtain the number of external channels; identifying traffic icons in the online map, and counting the traffic icons to obtain the number of traffic mode types; calculating the road network density and road gradation of the location of the evaluation target based on the length and width of the identified linear channel in the research range, and judging whether the road network density and road gradation are unreasonable; forming basic data of the location of an evaluation target by the number of external channels, the number of traffic mode types, whether the road network density is unreasonable or not and whether the road grading is unreasonable or not;
a pre-processing module configured to: performing data preprocessing on all basic data;
an evaluation module configured to: and calculating and developing suitability evaluation indexes based on the preprocessed data.
A third aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the evaluation method for developing suitability for urban TOD mode as described above.
A fourth aspect of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the steps in the evaluation method for suitability for urban TOD mode development as described above.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an evaluation method for developing suitability in an urban TOD mode, which acquires land policies and procedures handling, development schemes, investment and operation modes of an evaluation target location through multi-channel multi-mode data collection, integrates regional location environment and surrounding construction environment through a butt-joint online map and image recognition method, and shifts data acquired from the existing data to real-time operation data of the target location, thereby realizing comprehensive and real-time evaluation of the development suitability in the urban TOD mode.
The invention provides an evaluation method for developing suitability in an urban TOD mode, which constructs scientific evaluation indexes and provides scientific decision-making assistance bases for planning and managers through evaluation results, thereby providing value references for intensive and economical utilization of land resources, improvement of resource allocation efficiency and optimization of urban space forms.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are included to illustrate an exemplary embodiment of the invention and not to limit the invention.
Fig. 1 is a flowchart of an evaluation method for urban TOD mode-oriented development suitability according to an embodiment of the present invention;
FIG. 2 is a flowchart of evaluating whether a target site is suitable for development according to a first embodiment of the present invention;
FIG. 3 is a diagram of a basic data structure according to a first embodiment of the present invention;
FIG. 4 is a flow chart of data preprocessing according to a first embodiment of the present invention;
FIG. 5 is a flowchart illustrating a calculation process of comprehensive evaluation indexes according to a first embodiment of the present invention;
fig. 6 is a suitability development project type configuration diagram according to the first embodiment of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Example one
The embodiment provides an evaluation method for urban TOD mode-oriented development suitability, as shown in fig. 1, specifically including the following steps:
As shown in fig. 3, the basic data includes basic information of five main aspects, i.e., a land policy and procedure handling, a regional area environment, a surrounding construction environment, a development scheme, an investment and an operation mode of an evaluation target location.
The method mainly reflects the support of government policies on TOD projects and the handling difficulty of land procedures, and comprises the following data indexes: the number of files issued by the policy related to the TOD mode, and whether the evaluation target location relates to planning adjustment, sign and tear, archaeology and special geological protection.
The number of files related to the TOD mode relevant policy can be acquired through relevant official websites such as a field-butting government department and natural resource inquiry; whether the planning is related to the acquisition of a planning department capable of realizing the butt joint of the planning; whether the land is related to sign and tear and can be butted with a land management department for obtaining; whether the archaeology is involved and can be obtained by a relevant archaeology department; whether special geological protection is involved can be obtained by departments of environmental protection, geological protection and the like.
Wherein, the data index that regional position environment contains has: and evaluating the matching condition of the traffic infrastructure, the current industrial situation, the industrial planning and the resource environment bearing capacity of the target location.
The matching conditions of the traffic infrastructure comprise the number of external channels, the number of traffic mode types and the integrity of a traffic network (whether grading and density are unreasonable), and can be obtained by methods of inquiring an online map, identifying aerial pictures and the like. Specifically, the concrete method for acquiring the matching condition of the traffic infrastructure comprises the following steps:
(1) Acquiring an online map (satellite map) and an aerial picture including the location of the evaluation target, and labeling a research range (including only the area of the location of the target);
(2) Identifying continuous linear channels in the online map or aerial picture by adopting a conventional picture identification algorithm such as a convolutional neural network and the like, and counting the linear channels exceeding the research range to obtain the number of external channels; the number of the external channels mainly refers to the number of regional externally-connected traffic channels, including railways, highways, expressways and externally-connected urban main roads;
(3) Identifying traffic icons in the online map, and counting the traffic icons to obtain the number of traffic mode types; the traffic mode types comprise railways, water transportation, aviation, urban rail transit, common buses, taxis, self-driving, bicycles and walking, and the traffic icons are in a uniform style with reference to a map; for example, the presence or absence of a road is recognized when the bicycle is driven, the presence or absence of a bicycle lane is recognized when the bicycle is driven, and the presence or absence of a pedestrian lane is recognized when the bicycle is walking.
(4) Intercepting an online map or aerial image in the research range, identifying continuous linear channels, calculating the length of each linear channel, and combining the size of the online map or aerial image with the real area of the research range to obtain the length of a road corresponding to each linear channel; calculating the width of each linear channel, and combining the size of the line map or the aerial image with the real area of the research range to obtain the width of the road corresponding to each linear channel; dividing all roads into express roads, main roads, secondary roads and branches according to the width of the roads and a set division standard, and obtaining the category of each road; calculating the total road network density (the total length of all roads/the real area of a research range) of the location of the evaluation target according to the total lengths of all roads, and obtaining a result of whether the road network density is unreasonable or not according to a set road network density standard (table 1) by combining with the urban functional region to which the location of the evaluation target belongs; according to the total length of the road of each type, calculating the road network density of each type of the road at the position of the evaluation target (the total length of the road of a certain type/the real area of the research range), calculating the road grading (road grading = express road mileage: major road mileage: minor road mileage: branch road mileage), and combining the urban scale at the position of the evaluation target to obtain the result whether the road grading is unreasonable or not according to the set road grading standard (table 2).
TABLE 1 road network Density Standard
TABLE 2 road grading Standard
The traffic network perfection refers to gradation and network density, and road length is divided by the real area of the research range to obtain the road network density.
The current industrial situation can be obtained by field investigation, planning or statistical data query and retrieval network data method, including evaluating the number of the existing industrial categories and the industrial scale (output amount per unit area) of the target location.
The industry planning can be obtained by docking the planning and compiling department, and comprises the number of industry types and the industry scale (the output amount per unit area) of the future planning of the evaluation target location.
The resource environment bearing capacity can be analyzed by gis technology to obtain the land resource bearing capacity, the mineral resource remaining bearing number and the water resource remaining bearing number, and comprehensively determine the upper limit of the intensity (the remaining bearing number per unit area) suitable for development, namely the remaining bearing number per unit area (min (the land resource bearing capacity, the mineral resource remaining bearing number and the water resource remaining bearing number)/the real area of the research range). Before the TOD design scheme is made, a special mechanism evaluates the bearing capacity of the resource environment.
The surrounding construction environment includes service facility conditions, business type within a set range, construction plan and construction scale within the set range, number of points of Interest (in a local information system, a Point of Interest (poi) can be a house, a shop, a mailbox, a bus station, etc.) within the set range, population of living within the set range, and employment population within the set range. The evaluation target location includes a plurality of setting ranges, and the average value of the business type, the construction plan and the construction scale, the number of poi points, the residential population and the employment population in all the setting ranges needs to be calculated respectively.
The service facility conditions comprise the number of traffic facilities, the number of medical facilities, the number of business facilities and the green space area, and can be obtained by a pyhon programming technical method.
The set range may be 800 meters, where 800 meters is a radius, and the 800 meters range is a circular range with 800 meters as a radius.
The construction plan and the construction scale (construction area) within the range of 800 m can be obtained by a butt joint land ownership department; the residential population in the range of 800 meters is obtained by estimating the state and the construction scale, and the specific method comprises the steps of extracting the residential area range and the corresponding building floor number in the range of 800 meters, and estimating the number of the residential population according to the per-capita residential area; the employment population within the range of 800 meters is obtained by estimating the state and the construction scale, and the specific method comprises the steps of extracting the office area range within the range of 800 meters and the corresponding building floor number, adding other land such as business area to convert the office area into the office area, and estimating the employment population according to the per-capita office area (the local planning land standard).
The business type (number) within 800 meters, the number of poi points within 800 meters, the residential area within 800 meters and the corresponding number of building floors, the occupied area per person, the office area within 800 meters and the corresponding number of building floors can all obtain the open source data of the map platform by writing codes from the online map application key through a pyhon programming technical method.
The data included in the development scheme are labeled as: function layout, space utilization and traffic connection.
The function layout can be obtained through a project construction scheme of the place where the evaluation target is located, and the specific data indexes are resource allocation degrees:
G＝1-|N scheme(s) /(N Maximum load bearing -N Status quo )-1|
Wherein G is the evaluation matching degree, N Scheme(s) Design population size for project construction scheme, N Maximum load bearing To assess the maximum loadable population size at the target site, N Status quo The existing population size of the evaluation target site obtained by the current situation survey.
It should be noted that the project construction plan given by the design organization can be used as a factor for evaluating suitability for TOD development.
The space utilization can be obtained by evaluating the project construction scheme of the location of the target, the concrete data indexes comprise overground space saturation and underground space saturation, and the concrete calculation method comprises the following steps: the original increase of the total building area is converted into the population number divided by the population number which can be borne by the resources.
The traffic connection can be obtained by evaluating the project construction scheme of the target location, and the specific data indexes comprise the number of traffic mode types planned by the project construction scheme, the regional traffic transfer time and the time for the building to walk to the traffic facility point.
The investment and operation modes include data indicators: investment intensity, investment recovery period, yield and degree of passenger flow adsorption.
The investment intensity can be obtained through a project construction scheme, and the specific data index is the investment amount of unit building area. The investment recovery period can be obtained through a project construction scheme, and the specific data index is the investment recovery period. The profitability can be obtained through a project construction scheme, and the specific data indexes comprise internal profitability and net present value. The passenger flow adsorption degree can be obtained by analyzing the project construction scheme, the construction environment and the passenger flow intensity, and the specific method is to identify the current passenger flow, analyze the project construction scheme and the construction environment, estimate the growth rate and obtain the predicted passenger flow intensity.
The current passenger flow can be obtained by a people flow statistical method of a visual sensor, and the specific method refers to a disclosed people flow statistical method, device and system based on the visual sensor (application number is 201810663182.9). The growth rate and the passenger flow intensity are predicted according to the planning situation of future surrounding land, and reference is made to technical criteria for evaluating traffic influence of construction projects (CJJ/T141-2010).
And 2, performing data preprocessing on all basic data. Since the index units and the numerical value ranges in the basic data are not consistent, data preprocessing is required. The basic data relates to indexes including a number class (the number of documents issued by a TOD mode-related policy, the number of outer channels, the number of transportation modes, the number of existing industrial categories, the number of planned industrial categories, the number of transportation facilities, the number of medical facilities, the number of business state categories within 800 meters, and the number of poi points within 800 meters), a number class (whether plan adjustment is involved, whether sign off is involved, whether archaeology is involved, whether special geological protection is involved, whether road network density is unreasonable, whether road grading is unreasonable), a number class of people (the number of remaining carriers per unit area, the number of living people within 800 meters, the number of employment people within 800 meters, passenger flow adsorption degree), an amount class (the existing industrial scale (the amount of output per unit area), the planned industrial scale (the amount of output per unit area), an investment intensity (the amount of investment per unit of building area)), an area class (the building area class (the area of built-in-ground area, the area class (the area of transportation transfer time, the time of the building internal walking to the transportation facilities, the investment recovery period), a proportion class (the allocation of resources, the above-ground space, the saturation degree, the income rate).
As shown in fig. 4, the data preprocessing includes item type determination, data format standardization, and index value standardization. The project type judgment mainly comprises stock updating and new city construction (existing building reconstruction and extension belongs to stock updating, and new building is completely built and belongs to new city construction); the data format standardization mainly comprises the steps of quantifying qualitative data and converting quantitative data according to a table 3 or a table 4, if the location of an evaluation target is judged to be updated, a first data format standardization method (table 3) is adopted to quantify the qualitative data and convert the quantitative data, and if the location of the evaluation target is judged to be new city construction, a second data format standardization method (table 4) is adopted to quantify the qualitative data and convert the quantitative data; the index value standardization mainly specifies the standardization processing of data subjected to data format standardization by using a z-score method.
Wherein, the construction rate within the radius range of 800 meters is more than 60 percent as the updating of the stock, and the construction rate within the radius range of 60 percent is as follows: construction rate = construction area/(pi × 800) 2 ) Wherein the built-up area includes an area of a building base other than the area not used for development, an area of a land developed and built in a park green land, and the like.
TABLE 3 stock update data conversion and comparison table
TABLE 4, new City construction data conversion and comparison table
As shown in fig. 5, the development suitability evaluation index is a comprehensive evaluation index calculated based on a single evaluation index such as a policy support degree index, an environmental fitness index, a linking degree index, a land use efficiency index, a project value, and a profit index.
The policy support degree evaluation index corresponds to land policies and procedures in the basic data.
The environment conformity degree evaluation index corresponds to the region location environment in the basic data.
The engagement degree evaluation index corresponds to the surrounding construction environment in the basic data.
The land utilization efficiency evaluation index corresponds to a development scheme in the basic data.
The project value and income evaluation index correspond to investment and operation modes in the basic data.
Single index calculation formula
P 3i ＝∑ k P 1jk And (3) comprehensively evaluating a calculation formula:
r i ＝P 3i /∑P 3i
wherein i =1,2,3,4,5,s 3i And sequentially corresponding to the evaluation and settlement results of the policy support degree 31, the environment integrating degree 32, the linking degree 33, the land utilization efficiency 34, the project value and the income 35.
Wherein j =1,2,3,4,5,p 1j Corresponding to land policy and procedure transaction 11, regional area environment 12, surrounding construction environment 13, development scheme 14, investment and operation mode 15 in the basic data storage system in sequence 1jk Corresponding to the full score, s, of the sub-term k in the sub-term j 1jk Rating score, r, for sub-term k i Is a weight value.
And 4, outputting an evaluation result: and judging whether the evaluation target location is suitable for development or not based on the development suitability evaluation index obtained by calculation, so as to obtain the suitability development project type to which the evaluation target location belongs.
As shown in fig. 6, the suitability development project types include a hub suitability development project, a business district suitability development project, an industrial suitability development project, and a comprehensive suitability development project.
As shown in fig. 2, the development suitability evaluation index is normalized to be between 0 and 1, and more than 0.6 is suitable for development, otherwise is not suitable for development; if the development is suitable, the surrounding environment and the construction scheme of the project are further analyzed manually in the development of the suitable scheme, the development surrounding the high-speed rail station and the 3 or more rail transfer stations is a hub suitability development project, the periphery businesses are more, the project positioned for business linkage is a business district suitability development project, the periphery industrial industries are more, the industry cooperation and coordination are mainly an industry suitability development project, and the rest are comprehensive suitability development projects.
The pivot suitability development project mainly means that the development project mainly bears traffic distribution and conversion functions, plays a significant role in development and positioning of areas and even cities, and gives consideration to other functions such as commerce and the like; the business district suitability development project mainly means that the development project mainly bears business functions, has certain centrality, has stronger business linkage value and gives consideration to other functions; the industrial suitability development project mainly aims at taking industry as the leading factor, driving the peripheral economic development and considering the functions of living and the like; the comprehensive suitability mainly means that the functions are balanced, and the comprehensive evaluation result is suitable for being used as a TOD development project.
The evaluation method for urban TOD mode development suitability provided by the embodiment is not limited to urban rail transit, but also comprises railway stations, airports, light rails, bus stations and the like, a basic database is formed by collecting data in a multi-channel multi-mode, a scientific index system evaluation system is constructed after the data are processed by a standardized method, and a scientific auxiliary decision-making basis is provided for planning and managers through evaluation results, so that value references are provided for intensive and economical utilization of land resources, improvement of resource allocation efficiency and optimization of urban space forms.
Example two
The embodiment provides an evaluation system for urban TOD mode development suitability, which specifically comprises the following modules:
an image acquisition module configured to: acquiring an online map or aerial picture of the location of an evaluation target;
a base data acquisition module configured to: identifying continuous linear channels in the online map or the aerial picture, and counting the linear channels beyond the research range to obtain the number of external channels; identifying traffic icons in the online map, and counting the traffic icons to obtain the number of traffic mode types; calculating the road network density and road gradation of the location of the evaluation target based on the length and width of the linear channel in the identified research range, and judging whether the road network density and road gradation are unreasonable; forming basic data of the location of an evaluation target by the number of external channels, the number of traffic mode types, whether the road network density is unreasonable or not and whether the road grading is unreasonable or not;
a pre-processing module configured to: carrying out data preprocessing on all basic data;
an evaluation module configured to: and calculating and developing suitability evaluation indexes based on the preprocessed data.
It should be noted that, each module in the present embodiment corresponds to each step in the first embodiment one to one, and the specific implementation process is the same, which is not described again here.
EXAMPLE III
The present embodiment provides a computer-readable storage medium, on which a computer program is stored, and the program, when executed by a processor, implements the steps in the evaluation method for developing suitability for urban TOD mode as described in the first embodiment.
Example four
The embodiment provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the processor implements the steps in the evaluation method for suitability for urban TOD mode development as described in the first embodiment.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A city TOD mode development suitability-oriented evaluation method is characterized by comprising the following steps:
acquiring an online map or aerial picture including the location of an evaluation target;
identifying continuous linear channels in the online map or aerial picture, and counting the linear channels exceeding the research range to obtain the number of external channels; identifying traffic icons in the online map, and counting the traffic icons to obtain the number of traffic mode types; calculating the road network density and road gradation of the location of the evaluation target based on the length and width of the identified linear channel in the research range, and judging whether the road network density and road gradation are unreasonable; forming basic data of the location of an evaluation target by the number of external channels, the number of traffic mode types, whether the road network density is unreasonable or not and whether the road grading is unreasonable or not;
performing data preprocessing on all basic data;
and calculating and developing suitability evaluation indexes based on the preprocessed data.
2. The method according to claim 1, wherein the specific method for determining whether the road network density is unreasonable comprises:
intercepting an online map or aerial picture in a research range, and identifying a continuous linear channel;
calculating the length of each linear channel, and combining the size of the line map or the aerial image with the real area of the research range to obtain the length of the road corresponding to each linear channel;
and calculating the total road network density of the location of the evaluation target according to the total length of all the roads, and combining a set road network density standard to obtain the result of judging whether the road network density is unreasonable.
3. The urban TOD mode-oriented development suitability evaluation method according to claim 1, wherein the specific judgment method of whether the road grading is unreasonable is as follows:
intercepting an online map or aerial picture in a research range, and identifying a continuous linear channel;
calculating the length of each linear channel, and combining the size of the line map or the aerial picture with the real area of the research range to obtain the length of the road corresponding to each linear channel;
calculating the width of each linear channel, and combining the size of the line map or the aerial image with the real area of the research range to obtain the width of the road corresponding to each linear channel;
obtaining the category of each road according to the width of the road and a set division standard;
and calculating the road network density of each type of the road where the evaluation target is located according to the total length of the road of each type, calculating road grading, and combining the set road grading standard to obtain the result of whether the road grading is unreasonable.
4. The method as claimed in claim 1, wherein the basic data further includes the number of documents that are issued according to the policy related to the TOD model, and whether the target location is related to planning adjustment, qualification, archaeology and geological protection.
5. The method for evaluating the development suitability of the urban TOD mode according to claim 1, wherein the development suitability evaluation index is a comprehensive evaluation index calculated based on a policy support degree index, an environmental fitness index, a linkage degree index, a land utilization efficiency index, a project value and a profit index.
6. The method as claimed in claim 1, wherein the data preprocessing comprises data format standardization and index value standardization;
the data format standardization mainly comprises the steps of quantifying qualitative data and converting quantitative data;
the index value normalization is mainly to specify the normalization process of data normalized by the data format by the z-score method.
7. The method of claim 1, wherein the method further comprises: and judging whether the evaluation target location is suitable for development or not based on the development suitability evaluation index obtained by calculation.
8. An evaluation system for suitability of urban TOD mode development, comprising:
an image acquisition module configured to: acquiring an online map or aerial picture including the location of an evaluation target;
a base data acquisition module configured to: identifying continuous linear channels in the online map or aerial picture, and counting the linear channels exceeding the research range to obtain the number of external channels; identifying traffic icons in the online map, and counting the traffic icons to obtain the number of traffic mode types; calculating the road network density and road gradation of the location of the evaluation target based on the length and width of the identified linear channel in the research range, and judging whether the road network density and road gradation are unreasonable; forming basic data of the location of the evaluation target by the number of external channels, the number of traffic mode types, unreasonable road network density and unreasonable road grading;
a pre-processing module configured to: performing data preprocessing on all basic data;
an evaluation module configured to: and calculating and developing suitability evaluation indexes based on the preprocessed data.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of a method for evaluating suitability for development in an urban TOD model according to any one of claims 1 to 7.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for evaluating suitability for urban TOD mode development according to any of claims 1 to 7 when executing the program.
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| CN117371830A (en) * | 2023-08-28 | 2024-01-09 | 广东天亿马信息产业股份有限公司 | Urban ecological management and control method and system for smart city based on GIS technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117371830A (en) * | 2023-08-28 | 2024-01-09 | 广东天亿马信息产业股份有限公司 | Urban ecological management and control method and system for smart city based on GIS technology |
| CN117371830B (en) * | 2023-08-28 | 2024-05-07 | 广东天亿马信息产业股份有限公司 | Urban ecological management and control method and system for smart city based on GIS technology |
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