CN112950079A - Method and system for processing greenfield supply and demand data, computer equipment and storage medium - Google Patents

Method and system for processing greenfield supply and demand data, computer equipment and storage medium Download PDF

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CN112950079A
CN112950079A CN202110357832.9A CN202110357832A CN112950079A CN 112950079 A CN112950079 A CN 112950079A CN 202110357832 A CN202110357832 A CN 202110357832A CN 112950079 A CN112950079 A CN 112950079A
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刘红晓
韩宝龙
刘可
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South China Botanical Garden of CAS
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Abstract

The application discloses a green space supply and demand data processing method and system, which comprises the following steps: obtaining greenfield data and population data of a target area on a map from a data source, the greenfield data comprising greenfield raster data, the population data comprising population raster data; obtaining the per-person greenbelt supply area of each grid in the target area according to the greenbelt data and the population data; acquiring the required area of the per-person green space of each grid in the target area on the map from a data source; and obtaining the green space supply and demand evaluation data of the target area according to the per-person green space supply area and the per-person green space demand area. According to the technical scheme, the target area is subdivided into the grid scale, the green space supply and demand indexes which are refined to the grid scale can be obtained, the actual supply and demand conditions are objectively reflected, and scientific data reference is provided for the related planning scheme. The method can also be used for identifying the spatial position of a newly planned green land, and the supply and demand deficit of the green land is reduced to the maximum extent.

Description

Method and system for processing greenfield supply and demand data, computer equipment and storage medium
Technical Field
The invention relates to a computer data processing method, in particular to a data processing method and system applied to green space supply and demand, computer equipment and a computer readable storage medium.
Background
The urban green land has various ecological benefits and has important effects on the life quality and physical and psychological health of residents. Therefore, the governments in various places use the planning and construction of urban green land as a hand grip project for implementing ecological civilization thought and building beautiful China. However, for a long time, urban green land planning takes the per capita green land area and the forest coverage as management indexes, and how to optimize the spatial layout of the green land needs scientific guidance methods and implementation tools. Therefore, the research on the urban green space supply and demand data evaluation technology with clear space is a problem which needs to be solved urgently in urban green space planning and construction at present.
At present, a supply and demand data processing method for urban green space planning generally takes forest coverage, per capita green space area and the like of county scale as evaluation index parameters, but the spatial precision of the technology is insufficient, and the position of green space planning cannot be determined. Secondly, most greens are evaluated with the administration as the unit of evaluation, but the actual residents' visit to the greens depends on the distance from the greens and the quality of the greens, not the administration boundary. Therefore, the current green space supply and demand data processing method cannot reflect the real supply and demand relationship, and is difficult to provide scientific data reference for related planning schemes.
Disclosure of Invention
The technical problem to be solved by the application is to provide a method and a system for processing green space supply and demand data, a computer device and a computer readable storage medium, which can accurately evaluate the green space supply and demand conditions.
The application provides a green space supply and demand data processing method, which comprises the following steps:
obtaining greenfield data and population data of a target area on a map from a data source, the greenfield data comprising greenfield raster data, the population data comprising population raster data;
obtaining the per-person greenbelt supply area of each grid in the target area according to the greenbelt data and the population data;
acquiring the required area of the per-person green space of each grid in the target area on the map from a data source;
and obtaining the green space supply and demand evaluation data of the target area according to the per-person green space supply area and the per-person green space demand area.
In one embodiment, obtaining the per-person greenfield supply area of each grid in the target area according to the greenfield data and the population data comprises the following steps:
obtaining a greenfield population ratio for each greenfield grid according to the greenfield data and the population data;
and obtaining the per-person green space supply area of each grid in the target area according to the green space population ratio of the green space grids.
In one embodiment, the obtaining the greenfield population ratio of each greenfield grid according to the greenfield data and the population data comprises:
Figure BDA0003004207740000021
wherein SjGreen space area of green space grid j, d0Serving the green space with radius, dkjDistance between population grid k and greenfield grid j, the distance being less than or equal to greenfield service radius d0，pkIs the population number of the population grid k, f (d)kj) Is a function of attenuation. RjGreenfield population ratio for greenfield grid j;
the obtaining the per-person greenbelt supply area of each grid in the target area according to the greenbelt population ratio of the greenbelt grids comprises the following steps:
Figure BDA0003004207740000022
wherein SuiSupplying area, R, to the per-capita greens of grid ijGreen space population ratio of green space grid j, dijIs the distance between grid j and grid i of the green space, which is less than or equal to the green space service radius d0，f(dij) Is a function of attenuation.
In one embodiment, the greenfield data comprises greenfield raster data of different greenfield types;
obtaining a per-person greenfield supply area for each grid in the target area based on the greenfield data and the population data, comprising:
obtaining the per-person green space supply area under the green space type corresponding to each grid in the target area according to each green space type in the green space type sequence of the green space data;
and accumulating the per-green-land supply areas of all the green-land types for each grid to obtain the per-green-land supply area for each grid.
In one embodiment, obtaining the per-person green space supply area under the green space type corresponding to each grid in the target area according to each green space type in the sequence of the green space types of the green space data includes the following steps:
obtaining a greenfield population ratio for each greenfield grid under the greenfield type according to the greenfield data and the population data, comprising:
Figure BDA0003004207740000031
wherein S isr，jGreen space area of r-type green space grid j, d0，rServing radius of greenfield for r-class greenfield, dkjDistance between population grid k and greenfield grid j, the distance being less than or equal to greenfield service radius d of class r greenfield0，r，pkIs the population number of the population grid k, f (d)kj) Is a function of attenuation. Rr，jGreen space population ratio for r-class green space grid j;
obtaining the per-person greenbelt supply area under the greenbelt type of each grid in the target area according to the greenbelt population ratio, and the method comprises the following steps:
Figure BDA0003004207740000032
wherein, Sur，iProviding an area for the per-capita greens of the R-class greens of grid i, Rr，jGreen space population ratio of r-type green space grid j, dijDistance between green space grid j and grid i, the distance being less than or equal to green space service radius d of r type green space0，r。
In one embodiment, the demographic data includes demographic grid data for different demographic categories; obtaining the per-person greenbelt supply area of each grid in the target area according to the greenbelt data and the population data, and the method comprises the following steps:
obtaining a greenfield population ratio for each greenfield grid according to the greenfield data and the population data;
and obtaining the per-person greenbelt supply area of each grid under the target crowd category according to the greenbelt population ratio.
In one embodiment, the obtaining the greenfield population ratio of each greenfield grid according to the greenfield data and the population data comprises:
Figure BDA0003004207740000041
wherein S isjGreen space area of green space grid j, d0，g1、d0，g2、d0，gnServing radii, d, for greenfield corresponding to crowd categories g1, g2, gn, respectivelykjDistance between population grid k and green space grid j, the distance being less than or equal to green space service radius, p, corresponding to the population categoryk，g1、pk，g2、pk，gnThe population numbers of the population grid k belonging to the population categories g1, g2, gn, respectively, f (d)kj) Is a function of attenuation. RjGreenfield population ratio for greenfield grid j;
the obtaining of the per-person greenbelt supply area of each grid under the target crowd category according to the greenbelt population ratio comprises the following steps:
Figure BDA0003004207740000042
wherein, Sugn，iSupplying area, R, to the per-green space of the crowd category gn on grid ijGreen space population ratio of green space grid j, d0，gnServing the green space corresponding to the crowd category gn with a radius, dijIs the distance between grid j and grid i of the green space, which is less than or equal to the green space service radius d0，gn，f(dij) Is a function of attenuation.
A greenfield supply and demand data processing system, comprising:
the data acquisition module is used for acquiring green land data and population data of a target area on a map from a data source, wherein the green land data comprises green land raster data, and the population data comprises population raster data;
the green space supply module is used for obtaining the per-person green space supply area of each grid in the target area according to the green space data and the population data;
the green space demand module is used for obtaining the per-person green space demand area of each grid in the target area on the map from the data source;
and the supply and demand evaluation module is used for obtaining the green space supply and demand evaluation data of the target area according to the per-person green space supply area and the per-person green space demand area.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for greenfield supply and demand data processing.
A computer device, comprising: a memory for storing a computer program; and the processor is used for realizing the steps of the green space supply and demand data processing method when executing the computer program.
According to the technical scheme, when the supply and demand data are processed, the target area is subdivided into the grid scale, the green space supply and demand index data which are refined to the grid scale can be obtained, and the actual supply and demand condition is objectively reflected. Based on the fine evaluation result of the grid scale, the technical scheme of the application can obtain supply and demand data of different administrative scales, and scientific data reference is provided for related planning schemes.
In addition, the technical scheme of the application can also be used for identifying the space position of a newly planned green land, reducing the supply and demand deficit of the green land to the maximum extent and improving the benefit of green land investment.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles and effects of the invention.
Unless otherwise specified or defined, the same reference numerals in different figures refer to the same or similar features, and different reference numerals may be used for the same or similar features.
FIG. 1 is a schematic diagram of an embodiment of a green space supply and demand data processing method according to the present application;
FIG. 2 is a schematic diagram of the grid scale homo greenfield supply and demand area of the embodiment;
FIG. 3 is a schematic view of the administrative scale greenbelt supply and demand deficit area of the embodiment;
FIG. 4 is a schematic diagram of the administrative scale greenbelt supply and demand deficit population ratio of an embodiment;
FIG. 5 is a schematic view of green space supply areas of different green space types of the second embodiment;
FIG. 6 is a schematic diagram of the supply and demand area and the percentage of red-letter population in the green space of the different crowd types according to the third embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The urban green land construction is a hand grip project for implementing ecological civilization and constructing beautiful China. The reasonable green land planning layout can purify and beautify the environment and improve the living quality and the physical and mental health level of residents. In the current city planning, the green land data processing method can only calculate indexes such as forest coverage rate of streets and counties, per capita park area and the like, and cannot identify the specific position of the green land planning. According to the green space supply and demand data processing method, green space supply and green space demand data of each grid are obtained by calculating the green space supply and green space demand of the grid scale. The green space supply and demand data can help identify the spatial position of a newly planned green space, reduce the supply and demand deficit of the green space to the maximum extent and improve the benefit of green space investment.
As shown in fig. 1, a first embodiment of the method for processing supply and demand data in a green space of the present application includes the following steps:
s10, obtaining greenfield data and population data of a target area on the map from a data source, wherein the greenfield data comprise greenfield raster data, and the population data comprise population raster data;
specifically, the target area refers to a research area in which the user is interested, and may include administrative units such as cities, counties, streets and the like. The target area includes greenbelts and populated areas, and accordingly, the data associated with the target area includes greenbelts data and population data. After the target area is divided into grids, the grid corresponding to the land utilization classification as the green land grid is the green land grid, and the grid corresponding to the land utilization classification as the residential area is the population grid. The green land grid data comprises data of green land area, green land type and the like of the green land grid; the population grid data includes population numbers of the population grid. The greenfield data can also comprise data such as greenfield service radius, greenfield type classification in the target area and the like, and the population data can also comprise data such as crowd category proportion, population total number of the target area and the like. Further, when the target area is further subdivided into different scales according to the administrative unit, for example: the target area is a city, the city can be subdivided into streets, and the population data can also comprise the total population in each administrative unit.
In the above data, the green service radius refers to a radius corresponding to a green grid within which residents within a large radius of the perimeter of the green grid will arrive at the green. The green space service radius is usually a set value, and can be from the green space service radius in the green space planning, and can also be from survey data of the behavior of residents visiting the green space. The green space service radius can also be related to a green space type, and the green space service radii corresponding to different green space types are different. The greenfield type may be classified according to natural attribute features of the greenfield, such as waterfront greenfield, grassland, forest, etc., or may be classified according to regulatory attribute features, such as synthetic parks, community parks, etc. The green space service radius can also be related to the crowd category, wherein the crowd category can be divided according to the following steps: sex, age, etc. For example, younger people may reach greens farther, i.e., have a larger radius of green service, than older people.
The data sources for greenfield data and demographic data may be of various types and sources. For example: demographic data can be extracted through urban area demographic data; green space data such as green space service radius, green space type and the like can be obtained from the green space planning file; the service radius of the greens can also be obtained from survey data, such as: the visit survey of the resident to the surrounding green space obtains green space data such as a green space service radius, and the visit survey of the population groups to the surrounding green space obtains green space data such as a green space service radius suitable for the population groups.
In one embodiment, the source of the green space raster data acquisition may include the following:
1. interpretation by remote sensing: satellite remote sensing data such as sentinels, high scores, American NASA terrestrial satellite (Landsat) and the like are downloaded, and green land raster data are extracted through remote sensing interpretation.
2. And acquiring data of land utilization or green land distribution from planning, homeland and garden departments, and extracting green land grid data.
3. Obtaining land utilization data from free public websites, and extracting green land grid data, such as data of the Qinghua university: http:// data.ess.tsinghua.edu.cn/; http:// www.iuems.com// data from the research center for ecological environment of Chinese academy of sciences.
4. Land utilization data can also be purchased from related companies to obtain green land grid data, such as a geographic national situation monitoring cloud platform (http:// www.dsac.cn /); resource environmental science and data center (http:// www.resdc.cn /); national Earth systems science data center (http:// www.geodata.cn /).
5. And extracting the green land by using the google image to obtain green land grid data.
The acquisition sources of the population grid data may include the following:
1. publishing free web sites to download demographic grid data, such as: https:// www.worldpop.org/; http:// www.iuems.com/; population data set (GHSL): https:// ghsl.
2. Downloading demographic data of street scales at a government statistics website; then downloading the street vector layer of the target area (downloading the website address such as http:// www.dsac.cn/;// www.resdc.cn /); associating the demographic data downloaded at the government statistical website with the street vector map layer in geographic information system software (hereinafter abbreviated as ArcGIS); in ArcGIS, the population of a street is divided by the area of the street to obtain population density, and the population density is converted into a population grid layer in units of people/grids through a grid calculator to obtain population grid data.
3. Downloading the demographic data of street scales from a government statistical website, and then downloading a street vector layer of a target area (downloading website address: http:// www.dsac.cn/;// www.resdc.cn /); associating the demographic data downloaded from the statistical website with the street vector map layer in ArcGIS; downloading a Chinese city land utilization data set (http:// data. ess. tsinghua. edu. cn /) developed by Qinghua university, and extracting 'residential land' from ArcGIS; the population of the street is distributed to the residential land to obtain a population density map layer, and the population density map layer is converted into a population grid map layer with the unit of people/grids through a grid calculator to obtain population grid data.
Data sources for the greenfield service radius may include:
1. government planning, landscaping, united nations and other departments and organizations have standards on the service radius of greenbelts, and the united nations recommends 300m and has international and domestic common usage of 300m-800 m.
2. Actually investigating the use condition of residents on the green land, establishing a regression equation of the distance (Dis) from the residents to the green land and the visit times (Q) by using a Travel Cost model (Travel Cost) or Poisson regression, and obtaining the negative reciprocal (-1/beta) of the distance coefficientDis) I.e., the greenfield service radius.
In the paris zone in the embodiment, the green space raster data of the paris zone comes from an open data platform (https:// data. iledefrance. fr/explorer/dataset/mode-registration-du-sol-mos-en-11-spots-en-2017/information /), the population raster data is downloaded to an iris (french smallest statistical unit, which is equivalent to a street in china) scale in https:// www.insee.fr/fr/statistiques/3627376 as shown in an acquisition source of the population raster data, and the population raster data is acquired after being processed by ArcGIS. The green space service radius is unified based on the green space service radius recommended by the united nations (300 m).
And S20, obtaining the per-person greenbelt supply area of each grid in the target area according to the greenbelt data and the population data.
In one embodiment, the process of step S20 may include the following steps:
s210, obtaining a green space population ratio of each green space grid according to the green space data and the population data;
specifically, a circle may be formed by taking any one of the green space grids in the target area as a center of the circle and the green space service radius as a radius, the population numbers corresponding to the population grids located within the circle are accumulated to obtain the population number within the circle, and then the green space area corresponding to the green space grid is divided by the population number to obtain the green space population ratio of the green space grid. The above calculation is performed for each greenfield grid within the target area to obtain a greenfield population ratio for each greenfield grid.
Based on the principle of calculating the greenfield population ratio of the greenfield grid, as an embodiment, the calculation formula may be:
Figure BDA0003004207740000091
wherein SjGreen space area of green space grid j, d0Serving the green space with radius, dkjDistance between population grid k and greenfield grid j, the distance being less than or equal to greenfield service radius d0，pkIs the population number of the population grid k, f (d)kj) Is a function of attenuation. RjIs the greenfield population ratio of the greenfield grid j.
And S211, acquiring the per-person green space supply area of each grid in the target area according to the green space population ratio of the green space grids.
Specifically, after the green space population ratio of each green space grid in the target area is obtained, a circle is formed with any one of the grids in the target area as the center and the green space service radius as the radius, and the green space population ratios of all the green space grids located within the range of the circle are added up to obtain the per-capita green space supply area of the grid. The above calculation is performed for each grid within the target area to obtain the per-person greenfield supply area for each grid.
Based on the principle of calculating the per-person greenfield supply area for each grid, as an example, the calculation formula may be:
Figure BDA0003004207740000101
wherein SuiSupplying area, R, to the per-capita greens of grid ijGreen space population ratio of green space grid j, dijIs the distance between grid j and grid i of the green space, which is less than or equal to the green space service radius d0，f(dij) Is a function of attenuation.
And S30, acquiring the required area of the human-average green land of each grid in the target area on the map from the data source.
In one embodiment, the area required for the per-capita greens can be obtained by the following two methods:
in the method 1, a government planning document referring to the target area is referred to, and a planning target related to the 'per-person green space area' is taken as the per-person green space required area.
And 2, if survey data of residents on the green space requirements in the target area are collected, determining the area required by the person-average green space according to the survey data.
And S40, obtaining the green space supply and demand evaluation data of the target area according to the per-person green space supply area and the per-person green space demand area.
In one embodiment, the per-person greenfield supply and demand area for each grid may be obtained by subtracting the per-person greenfield demand area from the per-person greenfield supply area for each grid. The per-capita greenbelt supply and demand area at the grid scale of the target area is shown in fig. 2. If the per-capita greenbelt supply and demand area of the grid is a negative value, the greenbelt supply and demand of the grid is red in greenbelt.
After obtaining the per-capita greenbelt supply and demand area with the grid scale, various greenbelt supply and demand evaluation data can be further obtained, such as: the population number of people who are in the green space with the deficit, the area of the green space with the deficit, the population number of people who are in the green space with the deficit from different population categories, and the like.
The method for obtaining the area of the green space red character comprises the following steps: and for all the grids with the green space supply and demand in the target area in the shape of the red green space, multiplying the per-capita green space supply and demand area of each grid by the number of the population of the grid to obtain the green space supply and demand red space area of each grid, and adding the green space supply and demand red space areas of all the grids to obtain the green space red space area.
Further, the target area may be further subdivided according to different administrative scales, and the areas of the green space red characters are respectively calculated on the different administrative scales, that is: and adding the green space supply and demand areas of all grids in the green space red within the range of the administration units to obtain the green space red area of each administration unit. For example: the areas of the red characters of the green areas can be respectively calculated for more than one thousand three hundred administrative units similar to counties of Paris in the target area, so that the areas of the red characters of the supply and the demand of the green areas with the administrative scale shown in FIG. 3 can be obtained.
The method for acquiring the total population number of the people who are in the green space with the deficit of supply and demand comprises the following steps: and adding the population numbers corresponding to all the grids with the green space deficit in supply and demand to obtain the population number with the green space deficit in supply and demand.
Further, the target area can be further subdivided according to different administrative scales, and the total number of the population in the green space with the supply and demand deficit is respectively calculated on the different administrative scales, so that the population ratio of the different administrative units in the green space with the supply and demand deficit is obtained, namely: adding the population numbers of all grids which belong to the administrative unit range and are in the green space supply and demand deficit, and dividing the sum by the population number of all grids in the target area and are in the green space supply and demand deficit to obtain the population proportion of different administrative units in the green space supply and demand deficit. Thereby obtaining the population proportion of the administrative scale shown in figure 4 with the red supply and demand in the green land.
The method for acquiring the total population number of different population categories in the green space with the red supply and demand comprises the following steps: calculating the product of the population number of each grid with the green space demand and supply as the green space deficit and the proportion of the population type, thereby obtaining the population number of the grid corresponding to the population type and in the green space deficit, accumulating all the grids with the green space demand and supply as the green space deficit and corresponding to the population number of the population type and in the green space deficit, and obtaining the total population number of the population type in the green space deficit in the target area. The formula is as follows:
Figure BDA0003004207740000111
wherein, Balancecap，i< 0 means that the supply and demand area of the man-shared green space of the grid i is negative, i.e. the grid i is in a red character of the green space, piIs the population number of grid i, prgn，iThe proportion of the population group gn in the total population of the grid i can be from the proportion of the population class of the target area, and can also be from the proportion of the population class of the administrative unit in the target area to which the grid i belongs, popdef，gn，admThe total number of population groups gn that are in a red space for supply and demand for the target area.
Further, the target area can be further subdivided according to different administrative scales, and the total number of the population with different population categories in the red characters of supply and demand in the green space is calculated on the different administrative scales, that is: the population numbers of all grids belonging to the administrative unit range (such as the street) and corresponding to the population class in the green space with the red character are added, so that the population numbers of different population classes of the administrative scale in the green space with the red character of supply and demand are obtained.
Furthermore, the target area can be further subdivided according to different administrative scales, and the population ratio of different population categories in the green space with different supply and demand deficit is calculated on the different administrative scales, that is: adding the population numbers of all grids belonging to the administrative unit range (such as streets) corresponding to the green space red character of the population category, and dividing the sum by the total population number of the population category in the administrative unit to obtain the population ratio corresponding to the green space red character of the population category on different administrative units.
According to the green space supply and demand data processing method, the grid scale division is carried out on the target area, and the green space grid data and the population grid data are used for calculation, so that the green space supply and demand result of the grid scale can be obtained. Therefore, the precision of the evaluation is greatly improved, a fine evaluation result is provided, and the specific position of the green space planning can be guided. In addition, the technical scheme can calculate the supply and demand data on different administrative scales, and obtain various supply and demand evaluation indexes related to planning management, such as the area of the red word of the green space, the total population number of the supply and demand red word of the green space in the sub-population category and the like, so that comprehensive and scientific data support can be provided for the green space planning.
Since the urban green space planning only considers the area of the green space and does not consider the requirements of different groups of people on different green space types, the second embodiment of the application combines the resident rest preference reflected in the survey visit data and the spatial quantitative evaluation of the urban dimension, thereby being capable of further guiding what type of green space is planned and built in the green space.
Specifically, the second embodiment differs from the first embodiment in the method of calculating the per-person green space feed area, that is, the method of calculating the per-person green space feed area for each grid in the target area based on the green space data and the population data.
The method for calculating the supply area of the person-shared green space in the second embodiment comprises the following steps:
s220: calculating the greenfield population ratio of each r-type greenfield grid;
for each green land grid with the green land type of r class in the target area, the calculation formula of the green land population ratio is as follows:
Figure BDA0003004207740000121
wherein S isr，jGreen space area of r-type green space grid j, d0，rRadius of service for green space of r-type green space grid, dkjDistance between population grid k and green space grid j, the distance being less than or equal to green space service radius d of class r green space grid0，r，pkIs a personPopulation number of mouth grid k, f (d)kj) Is a function of attenuation. Rr，jIs the greenfield population ratio of the r-type greenfield grid j.
S221: calculating the r-type human-average green space supply area of each grid;
after the green space population ratio for each green space grid in the target area is obtained, the green space population ratios for all r-class green space grids within the green space service radius of the r-class green space are added up, respectively, centering on each grid in the target area, thereby obtaining the per-person green space supply area corresponding to the r-class green space of the grid as shown in fig. 5.
The calculation formula is
Figure BDA0003004207740000131
Wherein Sur，iProviding an area for R-class greenfield per average greenfield, R, of grid ir，jGreen space population ratio of r-type green space grid j, dijDistance between green space grid j and grid i, the distance being less than or equal to green space service radius d of r-class green space grid0，r。
S222: the per-person greenfield supply area for each grid was calculated.
Specifically, the calculation steps of S220 and S221 are repeated for all the green space types dividing the green space, thereby obtaining the human-average green space supply area for all the green space types for each grid, and then the human-average green space supply areas for all the green space types for each grid are added up to obtain the human-average green space supply area for each grid.
The calculation formula is as follows:
Figure BDA0003004207740000132
wherein Sur，iThe per-person greenfield supply area for the R types of greenfields of grid i, R being the total number of classifications of the greenfield types, SupiSupplying area for the person-averaged greenfield of grid i.
After obtaining the per-capita greenbelt supply area, the following steps are the same as those of the first embodiment, please refer to the first embodiment, which will not be described herein again.
Wherein the green space service radius d of the r-type green space grid0，rThe obtaining method of (a) may be:
1. investigating the use condition of residents on greenbelts, and establishing a regression equation of the distances (Dis) between residents and the greenbelts, a greenbelt type factor r (such as an integrated park and a community park), a greenbelt type factor and distance interaction term (Dis r) and the access times (Q) by using a Travel Cost model (Travel Cost) or Poisson regression, namely:
Figure BDA0003004207740000133
Figure BDA0003004207740000134
calculation of-1/(β)Dis+βDis*r) Obtaining the green space service radius d of r-type green space0，r；
2. Government green space planning files and national standards set service radiuses of different types of green spaces of cities, and the service radiuses d can be used as the green space service radiuses d of r types of green spaces0，r。
For example: according to the local survey data in Paris, the travel time of residents willing to different types of greenbelts is acquired by combining the literature and is 23 minutes in a park, 18 minutes in an urban forest, 29 minutes in a park with water and 24 minutes in a forest with water (Ta et al, 2020). Assuming a person walking at a speed of 3-4 miles per hour, the resulting service radii for the different greens are: 2158m, 1689m, 2721.2m,2252 m.
The second embodiment can reflect the supply of greenbelts of different greenbelt types because the greenbelts are divided according to the greenbelt types, so that the preference of crowds for different greenbelt types can be considered when guiding the greenbelt planning position.
Because the difference of accessibility of different crowd categories to the green space is not considered in the existing methods, the third embodiment of the application obtains the per-capita supply and demand area and the green space supply and demand deficit population ratio of the green space under different crowd categories by calculating the difference of supply and demand of the green space of different crowd categories, as shown in fig. 6, so that the green space planning can be further guided to reasonably plan the green space position, especially vulnerable groups such as the old, according to the preference distribution of different crowd categories.
Specifically, the third embodiment differs from the first embodiment in the method of calculating the human-greens supply area, that is, the human-greens supply area of the third embodiment is set under the crowd category defining condition.
The method for calculating the supply area of the person-shared green space in the third embodiment comprises the following steps:
s230: calculating a greenfield population ratio of each greenfield grid;
the green service radii relative to different crowd categories are different for the same green space grid. Therefore, when calculating the population number in the green space service radius of the green space grid, the population number needs to be calculated according to the green space service radius of different population classes.
The calculation formula is as follows:
Figure BDA0003004207740000141
wherein S isjGreen space area of green space grid j, d0，g1、d0，g2、d0，gnRadius of green space service, d, relative to crowd categories g1, g2, gn, respectivelykjDistance between population grid k and green space grid j, the distance being less than or equal to green space service radius, p, corresponding to the population categoryk，g1、pk，g2、pk，gnThe population numbers of the population grid k belonging to the population categories g1, g2, gn, respectively, f (d)kj) Is a function of attenuation. RjIs the greenfield population ratio of the greenfield grid j.
S231: and calculating the per-user greenfield supply area of each grid under the set crowd category.
After the green space population ratio of each green space grid in the target area is obtained, the green space population ratios of all green space grids within the green space service radius corresponding to the set crowd type are accumulated by taking each grid in the target area as the center, and the per-person green space supply area of the grid under the set crowd type is obtained.
The calculation formula is as follows:
Figure BDA0003004207740000151
wherein Sugn，iProviding an area for the grid i to the per-person greens of the set crowd category gn, RjGreen space population ratio of green space grid j, dijDistance between green land grid j and grid i, which is less than or equal to green land service radius d relative to set crowd category gn0，gn，f(dij) Is a function of attenuation.
After obtaining the per-capita greenbelt supply area, the remaining steps are the same as those of the first embodiment, and the following steps are referred to the first embodiment and will not be described again. Thereby obtaining the area of the green space red word under the set crowd category in the target area, the population number of the supply and demand red word in the green space and the population number of the green space red word in the sub-crowd category.
Wherein the green space service radius d relative to the crowd category gn0，gnThe obtaining method comprises the following steps: actually surveying the use condition of residents on greenbelts, and establishing a regression equation of the distances (Dis) of the residents from the greenbelts, a crowd grouping factor g (such as age), a grouping factor and distance interaction term (Dis × g) and access times (Q) by using a Travel Cost model (Travel Cost) or Poisson regression, namely:
Figure BDA0003004207740000152
calculation of-1/(β)Dis+βDis*g) I.e. the green space service radius d relative to the crowd category gn0，gn。
The third embodiment of the application can calculate the green space supply and demand relations of different crowd categories, particularly the green space supply and demand relations of the vulnerable groups. Therefore, the method is applied to the green space planning, and can help to increase the social fairness of the green space planning.
Attenuation function f (d) in green space supply and demand data processing method of the present applicationij) Which may be gaussian, binary, exponential, nuclear density, and poisson distribution functions. Since the poisson distribution function is the most commonly used distribution for statistically analyzing counting data, the poisson distribution function can be used to better simulate the decay of the service (the visit volume of residents) of the greens with distance. Therefore, the green space supply and demand data processing method of the applicationAttenuation function f (d) in methodij) Preferably a poisson distribution function. The formula is as follows:
Figure BDA0003004207740000161
wherein d isijDistance between green land grid j and grid i, d0Is the negative inverse of the coefficient from the front in the poisson regression, i.e. the service radius of the greenfield.
The application also discloses a greenery patches supply and demand evaluation system, it includes:
the data acquisition module is used for acquiring green land data and population data of a target area on a map from a data source, wherein the green land data comprises green land raster data, and the population data comprises population raster data;
the green space supply module is used for obtaining the per-person green space supply area of each grid in the target area according to the green space data and the population data;
the green space demand module is used for obtaining the per-person green space demand area of each grid in the target area on the map from the data source;
and the supply and demand evaluation module is used for obtaining the green space supply and demand evaluation data of the target area according to the per-person green space supply area and the per-person green space demand area.
For specific limitations of the green space supply and demand assessment system, reference may be made to the above limitations of the green space supply and demand data processing method, which are not described herein again. The various modules in the green space supply and demand assessment system can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the industrial edge terminal, and can also be stored in a memory in the industrial edge terminal in a software form, so that the processor can call and execute the corresponding operations of the modules.
Of course, the method in the present application may also be other apparatuses for implementing the corresponding functions, such as a computer device or a computer readable medium.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data.
Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transmyedia), such as modulated data signals and carrier waves.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

Claims (10)

1. A green space supply and demand data processing method is characterized by comprising the following steps:
obtaining greenfield data and population data of a target area on a map from a data source, the greenfield data comprising greenfield raster data, the population data comprising population raster data;
obtaining the per-person greenbelt supply area of each grid in the target area according to the greenbelt data and the population data;
acquiring the required area of the per-person green space of each grid in the target area on the map from a data source;
and obtaining the green space supply and demand evaluation data of the target area according to the per-person green space supply area and the per-person green space demand area.
2. The greenfield supply and demand data processing method according to claim 1, wherein obtaining a per-person greenfield supply area for each grid in the target area based on the greenfield data and the population data comprises the steps of:
obtaining a greenfield population ratio for each greenfield grid according to the greenfield data and the population data;
and obtaining the per-person green space supply area of each grid in the target area according to the green space population ratio of the green space grids.
3. The green space supply and demand data processing method according to claim 2,
the obtaining a greenfield population ratio for each greenfield grid according to the greenfield data and the population data comprises:
Figure FDA0003004207730000011
wherein SjGreen space area of green space grid j, d0Serving the green space with radius, dkjDistance between population grid k and greenfield grid j, the distance being less than or equal to greenfield service radius d0，pkIs the population number of the population grid k, f (d)kj) Is a function of attenuation. RjGreenfield population ratio for greenfield grid j;
the obtaining the per-person greenbelt supply area of each grid in the target area according to the greenbelt population ratio of the greenbelt grids comprises the following steps:
Figure FDA0003004207730000012
wherein SuiSupplying area, R, to the per-capita greens of grid ijGreen space population ratio of green space grid j, dijIs the distance between grid j and grid i of the green space, which is less than or equal to the green space service radius d0，f(dij) Is a function of attenuation.
4. The greenfield supply and demand data processing method according to claim 1, wherein the greenfield data includes greenfield raster data of different greenfield types;
obtaining a per-person greenfield supply area for each grid in the target area based on the greenfield data and the population data, comprising:
obtaining the per-person green space supply area under the green space type corresponding to each grid in the target area according to each green space type in the green space type sequence of the green space data;
and accumulating the per-green-land supply areas of all the green-land types for each grid to obtain the per-green-land supply area for each grid.
5. The greenfield supply and demand data processing method according to claim 4, wherein the per-person greenfield supply area under the greenfield type corresponding to each grid in the target area is obtained according to each greenfield type in the sequence of the greenfield types of the greenfield data, comprising the steps of:
obtaining a greenfield population ratio for each greenfield grid under the greenfield type according to the greenfield data and the population data, comprising:
Figure FDA0003004207730000021
wherein s isr，jIs r class greenGreen area of ground grid j, d0，rServing radius of greenfield for r-class greenfield, dkjDistance between population grid k and greenfield grid j, the distance being less than or equal to greenfield service radius d of class r greenfield0，r，pkIs the population number of the population grid k, f (d)kj) Is a function of attenuation. Rr，jGreen space population ratio for r-class green space grid j;
obtaining the per-person greenbelt supply area under the greenbelt type of each grid in the target area according to the greenbelt population ratio, and the method comprises the following steps:
Figure FDA0003004207730000022
wherein, Sur，iProviding an area for the per-capita greens of the R-class greens of grid i, Rr，jGreen space population ratio of r-type green space grid j, dijDistance between green space grid j and grid i, the distance being less than or equal to green space service radius d of r type green space0，r。
6. The greenfield supply and demand data processing method according to claim 1, wherein the demographic data includes demographic grid data for different demographic categories; obtaining the per-person greenbelt supply area of each grid in the target area according to the greenbelt data and the population data, and the method comprises the following steps:
obtaining a greenfield population ratio for each greenfield grid according to the greenfield data and the population data;
and obtaining the per-person greenbelt supply area of each grid under the target crowd category according to the greenbelt population ratio.
7. The green space supply and demand data processing method according to claim 6,
the obtaining a greenfield population ratio for each greenfield grid according to the greenfield data and the population data comprises:
Figure FDA0003004207730000031
wherein S isjGreen space area of green space grid j, d0，g1、d0，g2、d0，gnServing radii, d, for greenfield corresponding to crowd categories g1, g2, gn, respectivelykjDistance between population grid k and green space grid j, the distance being less than or equal to green space service radius, p, corresponding to the population categoryk，g1、pk，g2、pk，gnThe population numbers of the population grid k belonging to the population categories g1, g2, gn, respectively, f (d)kj) Is a function of attenuation. RjGreenfield population ratio for greenfield grid j;
the obtaining of the per-person greenbelt supply area of each grid under the target crowd category according to the greenbelt population ratio comprises the following steps:
Figure FDA0003004207730000032
wherein, Sugn，iSupplying area, R, to the per-green space of the crowd category gn on grid ijGreen space population ratio of green space grid j, d0，gnServing the green space corresponding to the crowd category gn with a radius, dijIs the distance between grid j and grid i of the green space, which is less than or equal to the green space service radius d0，gn，f(dij) Is a function of attenuation.
8. A greenfield supply and demand data processing system, comprising:
the data acquisition module is used for acquiring green land data and population data of a target area on a map from a data source, wherein the green land data comprises green land raster data, and the population data comprises population raster data;
the green space supply module is used for obtaining the per-person green space supply area of each grid in the target area according to the green space data and the population data;
the green space demand module is used for obtaining the per-person green space demand area of each grid in the target area on the map from the data source;
and the supply and demand evaluation module is used for obtaining the green space supply and demand evaluation data of the target area according to the per-person green space supply area and the per-person green space demand area.
9. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the greenfield supply and demand data processing method according to any one of claims 1 to 7.
10. A computer device, comprising: a memory for storing a computer program; a processor for implementing the steps of the method for green space supply and demand data processing according to any one of claims 1 to 7 when executing said computer program.
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