CN117252745B - Public service facility site selection method and device and computer equipment - Google Patents
Public service facility site selection method and device and computer equipment Download PDFInfo
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Abstract
The invention provides a public service facility site selection method, a public service facility site selection device and computer equipment, wherein the method comprises the following steps: obtaining basic data of a designated geographic area, wherein the basic data relates to population, land and construction of the area; calculating and determining the matching degree of population distribution information of each region in the geographic region and public service facility distribution information based on the basic data; determining a target patch corresponding to the matching degree meeting a first threshold value based on the matching degree and the first threshold value; determining constraint conditions based on basic data of the corresponding target area and public service facility construction requirements, wherein the constraint conditions are used for selecting addresses of public service facilities; constructing a public service facility site selection model based at least on the constraint condition; and determining the public facility construction address of the area to be planned or the area to be planned based on the public facility site selection model. The method of the invention relates to the technical field of computers, and can be used for selecting addresses of public service facilities which are more close to the actual service demands of people.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a public service facility site selection method, a public service facility site selection device and computer equipment.
Background
Public service facilities refer to facilities or services provided by governments or related institutions to meet basic demands of residents, and are mainly used for providing social benefits, promoting social fairness and improving life quality of the residents. At present, the planning of public service facilities mostly considers the overall demands of villages and towns or streets, and the site selection position is determined on a macroscopic level by using the principle of equalization of public service facility layout, so that the spatial distribution condition of resident demands is ignored, and the problems of mismatch between public service facility layout and real demands, public resource waste and the like are often caused.
In particular, in the context of urban updating services, where the total amount of land present is limited and the land resources are compacted, these necessarily require an efficient use of the land resources. Therefore, the public service facility planning and site selection method still based on macroscopic level requirements is difficult to accurately judge the specific position of the newly built public service facility, and land resource waste and error of site selection decision are caused.
Disclosure of Invention
The invention provides a public service facility site selection method, a public service facility site selection device and computer equipment, which are used for carrying out site selection on public service facilities more quickly, more accurately and more closely according to actual service demands of people.
In order to solve the above technical problems, an embodiment of the present invention provides a method for selecting a public service facility address, including:
obtaining basic data of a designated geographic area, wherein the basic data relates to population, land and construction of the area;
calculating and determining the matching degree of population distribution information of each region in the geographic region and public service facility distribution information based on the basic data;
determining a target patch corresponding to the matching degree meeting the first threshold value based on the matching degree and the first threshold value;
determining constraint conditions based on basic data corresponding to the target area and public service facility construction requirements, wherein the constraint conditions are used for selecting addresses of public service facilities;
constructing a public service facility site selection model based at least on the constraint condition;
and determining a public facility construction address of the area to be planned or the area to be planned based on the public facility site selection model.
In some embodiments, the base data includes at least one or more of the following:
population distribution data, geological condition data, traffic road network data, current public service facility poi point data, room price and land price data, house construction data, ecological protection red line area, non-construction land area, current land data and area boundary data.
In some embodiments, the method further comprises:
determining each patch within the geographic region based on population-and-land-related class data in the base data;
determining a first area related to an ecological protection red line area, a non-construction land area and an area with geological conditions not meeting construction requirements based on the data related to the land and the construction in the basic data;
screening the first sheet area from the sheet areas, and calculating the matching degree of the remaining second sheet areas; or (b)
Removing the ecological protection red line area, the non-construction land area, the area with geological conditions not meeting the construction requirement and the corresponding basic data in the first area to form a third area;
and carrying out matching degree calculation on the second and third sections.
In some embodiments, the determining a degree of matching of demographic information and utility distribution information for each patch in the geographic region based on the base data calculation comprises:
determining demographic data of the second and/or third segment based on the base data;
performing cluster analysis on the population distribution data to determine distribution data of population clustering points in the second and third regions;
Determining the existing public service facility poi point data and road network data in the second and/or third areas based on the basic data;
determining a service area of an existing public service facility based on public service facility service range criteria, the poi point data and road network data, wherein the service area characterizes the public service facility for providing services for population in the service area;
and calculating and determining the matching degree of population distribution information of the corresponding region and public service facility distribution information based on the distribution data of the clustering points and the service region.
In some embodiments, the determining the constraint condition based on the base data and the utility construction requirement corresponding to the target tile includes:
determining geological condition data, land price/house price data, traffic data and population data of each land block in a zone based on the basic data corresponding to the target zone;
the constraint conditions are determined based on the determined data and public service facility construction requirements, and the constraint conditions are conditions required to be provided for the region for constructing the public service facility.
In some embodiments, the determining the constraint based on the determined data and utility construction requirements comprises:
Determining a first constraint condition based on the geological condition data and public service facility construction requirements, wherein the first constraint condition is used for constraining geological conditions of the site selection area;
determining a second constraint condition based on the land price/house price data and public service facility construction requirements, the second constraint condition being used to constrain construction costs of public service facilities to constrain selection of the site selection area based on construction costs;
determining a third constraint condition based on the traffic data and public service facility construction requirements, wherein the third constraint condition is used for constraining traffic convenience of the site selection area;
a fourth constraint is determined based on the demographic data and utility construction requirements, the fourth constraint being for constraining a population number that is able to enjoy utility located in the addressed area.
In some embodiments, the method further comprises:
determining land block data, road network data and population cluster point distribution data in the target zone;
determining population numbers of each plot in the target plot based on the plot data and population cluster point distribution data;
generating land parcel point location data with population quantity attributes based on the geographic coordinates of each land parcel and the corresponding population quantity;
Constructing a target network based on the road network data and the land block point location data;
said constructing a utility site selection model based at least on said constraints, comprising:
and constructing a public service facility site selection model based on the target network and the constraint condition.
In some embodiments, the constructing a utility model based on the target network and constraints includes:
constructing the following formula based on the target network and constraint conditions to form the public service facility site selection model:
wherein I is a block center point set for determining a target block based on the target network, I is any block center point in the block center point set I, and X is a block center point i For the addressing variable to be solved, P i Is population number of the center point i of the land block, Y i Coverage variables for service area, D ij As a relationship variable between the site and the service area,weights of constraint conditions, G i 、C i 、T i Geological conditions of the land parcel center point i determined based on the basic data are respectively the land parcel development cost and the traffic convenience, and G, C, T is respectively the G i 、C i 、T i A constant threshold of (2);
x when selecting point i as the public service facility site point i 1, otherwise X i At 0, Y when the selected addressing point can provide service for the i point i 1, or 0, when the corresponding service area can cover the i point by taking the j point as the addressing point, D ij 1, otherwise 0, N is the total number of public service facilities to be built, and X i The sum is equal.
Another embodiment of the present invention also provides a public service facility location apparatus, which is characterized by comprising:
the first obtaining module is used for obtaining basic data of a designated geographic area, wherein the basic data are related to population, land and construction of the area;
the first calculation module is used for calculating and determining the matching degree of the population distribution information of each region in the geographic region and the public service facility distribution information according to the basic data;
the first determining module is used for determining a target fragment corresponding to the matching degree meeting the first threshold according to the matching degree and the first threshold;
the second determining module is used for determining constraint conditions according to the basic data corresponding to the target area and the public service facility construction requirements, and the constraint conditions are used for selecting addresses of the public service facilities;
the construction module is used for constructing a public service facility site selection model at least based on the constraint conditions;
And the address selecting module is used for determining public facility construction addresses of the areas to be planned or the areas to be planned through the public facility address selecting model.
Another embodiment of the present invention also provides a computer apparatus including:
one or more processors;
a memory configured to store one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the utility site selection method as in any of the embodiments above.
Based on the disclosure of the embodiment, it can be known that the beneficial effects of the embodiment of the invention include that the public service facility site selection model can be constructed based on the specific land block in the appointed geographic area, responding to the spatial distribution characteristics of population demands and the targets more conforming to the service demands of population distribution, so as to improve the site selection accuracy and site selection efficiency.
Drawings
Fig. 1 is a flow chart of a method of institutional site selection in an embodiment of the present invention.
Fig. 2 is a block diagram of a public facility site selection apparatus according to an embodiment of the present invention.
Detailed Description
Hereinafter, specific embodiments of the present invention will be described in detail with reference to the accompanying drawings, but not limiting the invention.
It should be understood that various modifications may be made to the embodiments disclosed herein. Therefore, the following description should not be taken as limiting, but merely as exemplification of the embodiments. Other modifications within the scope and spirit of this disclosure will occur to persons of ordinary skill in the art.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and, together with a general description of the disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the disclosure.
These and other characteristics of the invention will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the accompanying drawings.
It is also to be understood that, although the invention has been described with reference to some specific examples, a person skilled in the art will certainly be able to achieve many other equivalent forms of the invention, having the characteristics as set forth in the claims and hence all coming within the field of protection defined thereby.
The above and other aspects, features and advantages of the present disclosure will become more apparent in light of the following detailed description when taken in conjunction with the accompanying drawings.
Specific embodiments of the present disclosure will be described hereinafter with reference to the accompanying drawings; however, it is to be understood that the disclosed embodiments are merely examples of the disclosure, which may be embodied in various forms. Well-known and/or repeated functions and constructions are not described in detail to avoid obscuring the disclosure in unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not intended to be limiting, but merely serve as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present disclosure in virtually any appropriately detailed structure.
The specification may use the word "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the disclosure.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides a method for selecting a public service facility, including:
S1: obtaining basic data of a designated geographic area, wherein the basic data are related to population, land and construction of the area;
s2: calculating and determining the matching degree of population distribution information of each region in the geographic region and public service facility distribution information based on the basic data;
s3: determining a target fragment corresponding to the matching degree meeting the first threshold value based on the matching degree and the first threshold value;
s4: determining constraint conditions based on basic data of the corresponding target area and public service facility construction requirements, wherein the constraint conditions are used for selecting addresses of public service facilities;
s5: constructing a public service facility site selection model based at least on the constraint condition;
s6: and determining the public facility construction address of the area to be planned or the area to be planned based on the public facility site selection model.
Based on the above embodiments, the beneficial effects of the present embodiment include that the public service facility site selection model can be constructed based on the specific block point of view in the designated geographic area, the spatial distribution characteristics of the population demand, and the targets of the service demands more conforming to the population distribution, so as to improve the site selection accuracy and site selection efficiency. In addition, the method of the embodiment generates constraint conditions by quantitatively analyzing geological conditions, development cost and traffic convenience of each land block in the target zone and is used for assisting the model in site selection, so that the site selection result is more close to the actual service demands of people, meanwhile, the construction demands of public service facilities are met, the cost is saved, the land is maximally utilized, and the service range of the public service facilities is maximized.
The specific area may be a city area, a city update area, a non-city area, or the like, which is specifically and variably described by taking the specific area as the city update area in this embodiment. When obtaining the base data of the city update region, the base data includes at least one or more of:
demographic data, geological condition data, traffic road network data, current public service facility poi point data, room price and land price data, house construction data, ecological protection red line area, non-construction land area, current land data (i.e. current land data), area boundary data.
In practical application, one or more plots contained in the existing plots or plots formed by dividing the system through basic data in the designated area can be used as a data acquisition unit to collect the basic data in the designated area, and in the process of collecting the data, the collection operation can be implemented through means such as a data database, space-time big data and the like, and the specific obtaining mode is variable.
In some embodiments, to more rapidly advance the process flow, the method further comprises:
s7: determining each region in the geographic area based on the population-and-land-related class data in the base data;
S8: determining a first area related to an ecological protection red line area, a non-construction land area and an area with geological conditions which do not meet construction requirements based on the data related to the land and the construction in the basic data;
s9: screening the first slice area from the slice areas, and calculating the matching degree of the remaining second slice areas; or (b)
S10: removing the ecological protection red line area, the non-construction land area, the area with geological conditions not meeting the construction requirement and the corresponding basic data in the first area to form a third area;
s11: and calculating the matching degree of the second patch and the third patch.
For example, when a specified geographic area is not partitioned, the partition in the area may be determined based on population and land related data in the base data, and the specific partition may be partitioned based on population distribution range, or may be partitioned based on land area, or may be partitioned based on both population distribution and land area. In addition, after the patch is determined, the patch can be divided into plots, and specific division standards can be set in a customized mode. After determining the areas in the area, the system determines basic data corresponding to each area, and determines whether the area relates to an ecological protection red line area, a non-construction land area and an area with geological conditions not meeting construction requirements or not based on the basic data, and if so, the area is defined as a first area. The system may then screen the first tile from the collection of tiles within the area, i.e., directly reject the site selection within the tile, or may determine the population and distribution of the tile, and determine whether to screen the tile based on the population and distribution, after screening the first tile, the remaining tiles are defined as second tiles. Or the system can remove the land block containing the ecological protection red line area, the non-construction land area and the area with geological conditions not meeting the construction requirement and the corresponding basic data from the first area, so that the first area forms a new area, namely a third area. The second and/or third regions are regions for participating in the site selection, and based on the above process, the regions which do not meet the requirements can be filtered, so that the site selection range is reduced, the calculated amount in the site selection process is reduced, and the site selection efficiency is improved.
After determining the site selection area, namely the second area and/or the third area, the system needs to further screen the area which is not matched with the public service facilities in the geographic area, so as to determine the target area which needs to be additionally provided with the public service facilities, namely the target area which needs to be subjected to site selection.
Specifically, determining a degree of matching of demographic information and public service facility distribution information for each sector in a geographic area based on the base data calculation includes:
s12: determining demographic data of the second and/or third segment based on the base data;
s13: performing cluster analysis on population distribution data to determine distribution data of population clustering points in the second and third regions;
s14: determining the poi point data and road network data of the existing public service facilities in the second and/or third areas based on the basic data;
s15: determining a service area of the existing public service facility based on public service facility service range standards, poi point data and road network data, wherein the service area characterizes the public service facility and is used for providing services for population in the service area;
s16: and calculating and determining the matching degree of population distribution information of the corresponding region and public service facility distribution information based on the distribution data of the clustering points and the service region.
For example, taking a geographic area as an urban updating area as an example, firstly, performing cluster analysis on the people mouth distribution data in the second and/or third areas, and calculating to obtain the people mouth cluster point distribution data in the urban updating area meeting the cluster threshold through setting the cluster threshold. The system can then determine the existing public service facility poi point data and road network data in the second and/or third zones according to the basic data, and then can obtain fifteen-minute life circle service areas of the current public service facility points through a network analysis tool, namely, determine the service areas in the zones according to public service facility service range standards, such as, but not limited to, public service facility matching information specified in planning and designing standards of different cities to living areas, such as entering public service facility life circles for fifteen minutes, and the like. And then the system can carry out superposition analysis on the population cluster point distribution data obtained by calculation and the fifteen-minute life circle service area of the current public service facility point, calculate and determine the matching degree, and determine the target area based on the matching degree result. If the population distribution data is calculated based on the city updating area when the population distribution data is subjected to cluster analysis, the target area is the area with insufficient matching of the public service facility, namely the target area, in which the population cluster point distribution area inside the fifteen-minute life circle service area of the current public service facility point is the area.
The number of the target tiles is at least one, and the number of the target tiles is correspondingly increased or decreased according to different geographic areas. The location criteria may be different for different regions, but the basic criteria content is unchanged, i.e. different target regions, which each contain some uniform characteristics, so the system of the embodiment obtains the constraint condition for assisting in location selection based on the basic criteria content and the uniform characteristic analysis. Specifically, determining constraint conditions based on basic data of the corresponding target area and public service facility construction requirements includes:
s17: determining geological condition data, land price/house price data, traffic data and population data of each land block in the region based on the basic data of the corresponding target region;
s18: and determining constraint conditions based on the determined data and public service facility construction requirements, wherein the constraint conditions are conditions required to be provided for the region for constructing the public service facility.
Wherein determining the constraint condition based on the determined data and the utility construction requirement comprises:
s19: determining a first constraint condition based on the geological condition data and the public service facility construction requirement, wherein the first constraint condition is used for constraining geological conditions of the site selection area;
S20: determining a second constraint condition based on land price/house price data and public service facility construction requirements, the second constraint condition being used for constraining construction costs of the public service facilities so as to constrain selection of site selection areas based on the construction costs;
s21: determining a third constraint condition based on traffic data and public service facility construction requirements, wherein the third constraint condition is used for constraining traffic convenience of the site selection area;
s22: a fourth constraint is determined based on the demographic data and the utility construction requirements, the fourth constraint being for constraining a population number that can enjoy utility located in the site area.
That is, the constraint conditions in the embodiment respectively construct constraint conditions at four layers of geological conditions, construction cost, traffic convenience and population quantity to be served, and candidate areas and plots are further screened based on the constraint conditions, so that the site selection range is further reduced. In practical application of the constraint condition, a scoring strategy may be used, but is not limited to, in this embodiment, each land parcel is taken as a unit, gradient calculation is performed on the geological condition of each land parcel, the geological condition of each land parcel is scored by setting a gradient threshold value, and the economic cost of developing each land parcel is calculated and developed by land and construction type information such as land price, room price, building data and the like, including land price and house removal cost, and the higher the development cost is, the lower the corresponding score is. The traffic convenience can be judged by the distance between the center point of each land and the main and secondary traffic trunk lines, and the traffic convenience is scored according to the distance.
In other embodiments, the method further comprises:
s23: determining land block data, road network data and population cluster point distribution data in a target zone;
s24: determining population numbers of each land parcel in the target parcel based on the land parcel data and population cluster point distribution data;
s25: generating land parcel point location data with population quantity attributes based on the geographic coordinates of each land parcel and the corresponding population quantity;
s26: constructing a target network based on the road network data and the land block point location data;
for example, determining plots in a region with insufficient matching of public service facilities, namely plots in a target zone, then carrying out space hitching on the plots and population clustering point distribution data, solving population quantity on each plot, then carrying out central point extraction on the plot data, obtaining plot point position data with population quantity attribute, and connecting the plot point position data by using road network data, thus obtaining a network structure, namely a target network, by taking a plot central point element as a node and a road network element as a connecting edge.
In modeling, the system constructs a utility site model based at least on constraints, comprising:
s27: and constructing a public service facility site selection model based on the target network and the constraint condition.
Specifically, constructing a public service facility site selection model based on a target network and constraint conditions, including:
s28: constructing the following formula based on the target network and the constraint condition to form a public service facility site selection model:
wherein I is a plot center point set for determining a target plot area based on a target network, I is any plot center point in the plot center point set I, and X is a plot center point i For the addressing variable to be solved, P i Is population number of the center point i of the land block, Y i Coverage variables for service area, D ij As a relationship variable between the site and the service area,weights of constraint conditions, G i 、C i 、T i Geological conditions of the block center point i determined based on the basic data are respectively, and the block development cost and the traffic convenience are respectively G G, C, T i 、C i 、T i A constant threshold of (2);
x when selecting point i as a public service site i 1, otherwise X i At 0, Y when the selected addressing point can provide service for the i point i 1, or 0, when the corresponding service area can cover the i point by taking the j point as the addressing point, D ij 1, otherwise 0, N is the total number of public service facilities to be built, and X i The sum is equal.
The above formula can be considered as being obtained by carrying out mathematical abstraction processing on available land parcels and related road network data and the like in the target zone, and the site selection model can be constructed and formed based on the above formula. Based on the addressing model, the method can be satisfied Geological conditions, development costs, traffic convenience, and site selection point set under constraint of population coverage, i.e. X i The set is the public service facility site selection result set capable of achieving the maximization of site selection benefit.
For a better description of the addressing method of the present application, the following description is given with reference to specific application examples:
firstly, demarcating a boundary of an urban updating area, and then collecting basic data in the area by taking a land block scale as a data element through a space-time big data acquisition method and means such as network crawling, remote sensing image recognition and the like, wherein the collected data content comprises population distribution data, geological condition data, traffic road network data, current public service facility poi point data, room price and land price data, house building data, ecological protection red line area, non-construction land area and current land use data. The specific data source can be obtained through official departments, mobile phone signaling, network electronic maps, real estate transaction data, remote sensing images and the like.
Based on the collected current data, the matched insufficient areas of the public service facilities in the urban updating area, namely the target areas, are screened out by processing and analyzing population distribution data and poi point data of the current public service facilities. The specific analysis steps are as follows:
Based on a kernel density analysis method in the cluster analysis, setting a cluster threshold value as 100, and carrying out cluster analysis on the people mouth distribution data in the urban updating area to obtain a people mouth cluster point distribution map in the urban updating area.
According to the fifteen-minute life circle public service facility matching standard specified by the urban living area planning and design standard, the current public service facility poi point data is taken as a node, the road network data is taken as a network side, a network is constructed, the network analysis is carried out, and the fifteen-minute life circle service area geographic range of the current public service facility point is obtained by walking for 1000 meters at a distance of fifteen minutes.
And carrying out superposition analysis on population cluster point distribution data in the acquired city updating area and the fifteen-minute life circle service area of the current public service facility point, wherein the population cluster point distribution area which is not in the fifteen-minute life circle service area of the current public service facility point is the area which is not matched with the screened public service facility and is insufficient.
And scoring and evaluating the geological condition, the land development cost, the traffic convenience, the population distribution or the population quantity of each land based on the obtained current data and based on different constraint conditions to obtain the specific score of each item of each land. Firstly, calculating the geological gradient of each land parcel, and formulating a land parcel geological condition construction suitability scoring standard, wherein the standard is specifically shown in the following table:
；
And secondly, calculating the development economic cost of each land block, mainly the land price, such as building construction on the land block, and considering the removal cost. The specific calculation method is as follows:
land cost = land area x land price + building area x room price
The method is used for calculating and developing the economic total cost of each land parcel, scoring is carried out according to the calculated maximum and minimum range corresponding percentage system of the economic cost of the land parcel, and the higher the development cost is, the lower the corresponding score is, and the specific score calculating method is as follows:
plot economic cost score = { (cost maximum-plot cost)/(cost maximum-cost minimum) } ×100
And finally, calculating the traffic convenience of each land block and scoring, firstly extracting the center point of each land block, acquiring the coordinates of the center point of each land block, judging the distance between the center point of each land block and the main and secondary traffic main lines, and scoring the traffic convenience according to the distance, wherein the score is higher when the distance is closer to the traffic main lines. The specific scoring method is as follows:
traffic convenience score = { (distance maximum-land parcel distance)/(distance maximum-distance minimum) } ×100
According to the method steps, the geological condition of each land parcel, land parcel development cost, the score of the traffic convenience condition and the grade statistics table form of the population related quantity are calculated as inputs for calculating and using the site selection model.
On the basis of the method steps, mathematical abstraction is carried out on the available current land and road network elements in the areas with insufficient matching of public service facilities, and site selection calculation is carried out according to a site selection mathematical model formula. The method specifically comprises the following steps:
let the center point (element) set of the land block as I, the total number of public service facilities to be built as N, and the population number of the center point I of the land block as P i Geological conditions, development cost and traffic convenience of the land parcel center point i are G respectively i 、C i And T i And constant thresholds G, C, T are set to 60, 80, 80, respectively, as addressing points i should satisfy:defining an addressing variable X i Service area coverage variable Y i The relation variable of the locating point and the service area coverage point is D ij X when i-point is selected as a public service site i 1, otherwise X i At 0, Y when the selected addressing point can provide service for the i point i 1, or 0, when j is taken as the addressing point and the service area can be covered to i ij 1, otherwise 0, X i The sum is the number of the obtained site selection points, and the number value is equal to the total number N of public service facilities to be built.
Because the site selection points are constrained by geological conditions, development cost, traffic convenience and total coverage population, if all constraint conditions are met, the calculated site selection points should reach the maximization of site selection benefit, and the maximum site selection benefit obtaining formula is as follows:
Wherein,the weights of the constraint conditions can be assigned according to the working experience of the planner and the actual situation of the updated area, or can be learned by the system based on related learning data, and in the embodiment, the weights are respectively assigned to be 0.7, 0.1 and 0.1.
X is calculated according to the formula i The set is the public service facility site selection result set, and 4 plots selected by the calculation meet the above formula.
As shown in fig. 2, another embodiment of the present invention also provides a public service facility location device, including:
the first obtaining module is used for obtaining basic data of a designated geographic area, wherein the basic data are related to population, land and construction of the area;
the first calculation module is used for calculating and determining the matching degree of the population distribution information of each region in the geographic region and the public service facility distribution information according to the basic data;
the first determining module is used for determining a target fragment corresponding to the matching degree meeting the first threshold according to the matching degree and the first threshold;
the second determining module is used for determining constraint conditions according to the basic data corresponding to the target area and the public service facility construction requirements, and the constraint conditions are used for selecting addresses of the public service facilities;
The construction module is used for constructing a public service facility site selection model at least based on the constraint conditions;
and the address selecting module is used for determining public facility construction addresses of the areas to be planned or the areas to be planned through the public facility address selecting model.
In some embodiments, the base data includes at least one or more of the following:
population distribution data, geological condition data, traffic road network data, current public service facility poi point data, room price and land price data, house construction data, ecological protection red line area, non-construction land area, current land data and area boundary data.
In some embodiments, the apparatus further comprises:
the third determining module is used for determining each region in the geographic region according to population and land related class data in the basic data;
the fourth determining module is used for determining a first area related to an ecological protection red line area, a non-construction land area and an area with geological conditions not meeting construction requirements according to the data related to the land and construction in the basic data;
the screening module is used for screening the first sheet area from the sheet areas and carrying out the matching degree calculation on the rest second sheet areas; or (b)
The removing module is used for removing the ecological protection red line area, the non-construction land area, the area with geological conditions which do not meet the construction requirement and the corresponding basic data in the first area to form a third area;
the first calculating module is used for calculating the matching degree of the second patch and the third patch.
In some embodiments, the determining a degree of matching of demographic information and utility distribution information for each patch in the geographic region based on the base data calculation comprises:
determining demographic data of the second and/or third segment based on the base data;
performing cluster analysis on the population distribution data to determine distribution data of population clustering points in the second and third regions;
determining the existing public service facility poi point data and road network data in the second and/or third areas based on the basic data;
determining a service area of an existing public service facility based on public service facility service range criteria, the poi point data and road network data, wherein the service area characterizes the public service facility for providing services for population in the service area;
And calculating and determining the matching degree of population distribution information of the corresponding region and public service facility distribution information based on the distribution data of the clustering points and the service region.
In some embodiments, the determining the constraint condition based on the base data and the utility construction requirement corresponding to the target tile includes:
determining geological condition data, land price/house price data, traffic data and population data of each land block in a zone based on the basic data corresponding to the target zone;
the constraint conditions are determined based on the determined data and public service facility construction requirements, and the constraint conditions are conditions required to be provided for the region for constructing the public service facility.
In some embodiments, the determining the constraint based on the determined data and utility construction requirements comprises:
determining a first constraint condition based on the geological condition data and public service facility construction requirements, wherein the first constraint condition is used for constraining geological conditions of the site selection area;
determining a second constraint condition based on the land price/house price data and public service facility construction requirements, the second constraint condition being used to constrain construction costs of public service facilities to constrain selection of the site selection area based on construction costs;
Determining a third constraint condition based on the traffic data and public service facility construction requirements, wherein the third constraint condition is used for constraining traffic convenience of the site selection area;
a fourth constraint is determined based on the demographic data and utility construction requirements, the fourth constraint being for constraining a population number that is able to enjoy utility located in the addressed area.
In some embodiments, the apparatus further comprises:
a fifth determining module, configured to determine land block data, road network data, and population cluster point distribution data in the target area;
the sixth determining module is used for determining population quantity of each land block in the target zone according to the land block data and population cluster point distribution data;
the generation module is used for generating land parcel point location data with population quantity attributes according to the geographic coordinates of each land parcel and the corresponding population quantity;
the construction module is used for constructing a target network according to the road network data and the land block point location data;
said constructing a utility site selection model based at least on said constraints, comprising:
and constructing a public service facility site selection model based on the target network and the constraint condition.
In some embodiments, the constructing a utility model based on the target network and constraints includes:
constructing the following formula based on the target network and constraint conditions to form the public service facility site selection model:
/>
wherein I is a block center point set for determining a target block based on the target network, I is any block center point in the block center point set I, and X is a block center point i For the addressing variable to be solved, P i Is population number of the center point i of the land block, Y i Coverage variables for service area, D ij As a relationship variable between the site and the service area,weights of constraint conditions, G i 、C i 、T i Respectively are provided withFor the geological condition of the block center point i determined based on the basic data, the block development cost and the traffic convenience are G, C, T respectively the G i 、C i 、T i A constant threshold of (2);
x when selecting point i as the public service facility site point i 1, otherwise X i At 0, Y when the selected addressing point can provide service for the i point i 1, or 0, when the corresponding service area can cover the i point by taking the j point as the addressing point, D ij 1, otherwise 0, N is the total number of public service facilities to be built, and X i The sum is equal.
Another embodiment of the present invention also provides a computer apparatus including:
one or more processors;
a memory configured to store one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the utility site selection method as in any of the embodiments above.
Another embodiment of the present invention also provides a computer-readable storage medium including a stored program, wherein the program, when run, controls a device including the storage medium to perform the public service facility addressing method according to any one of the embodiments described above.
Embodiments of the present invention also provide a computer program product tangibly stored on a computer-readable medium and comprising computer-readable instructions that, when executed, cause at least one processor to perform a utility addressing method such as in the embodiments described above. It should be understood that each solution in this embodiment has a corresponding technical effect in the foregoing method embodiment, which is not described herein.
It should be noted that, the computer storage medium of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable medium can be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage media element, a magnetic storage media element, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, antenna, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
It should be understood that although the present application is described in terms of various embodiments, not every embodiment contains only one independent technical solution, and the description is provided for clarity only, and those skilled in the art should understand that the description is provided as a whole, and that the technical solutions in the various embodiments may be combined appropriately to form other embodiments that will be understood by those skilled in the art.
The above embodiments are only exemplary embodiments of the present invention and are not intended to limit the present invention, the scope of which is defined by the claims. Various modifications and equivalent arrangements of this invention will occur to those skilled in the art, and are intended to be within the spirit and scope of the invention.
Claims (9)
1. A method of institutional service site selection, comprising:
obtaining basic data of a designated geographic area, wherein the basic data relates to population, land and construction of the area;
calculating and determining the matching degree of population distribution information of each region in the geographic region and public service facility distribution information based on the basic data;
determining a target patch corresponding to the matching degree meeting the first threshold value based on the matching degree and the first threshold value;
Determining constraint conditions based on basic data corresponding to the target area and public service facility construction requirements, wherein the constraint conditions are used for selecting addresses of public service facilities;
constructing a public service facility site selection model based at least on the constraint condition;
determining a public facility construction address of an area to be planned or a zone to be planned based on the public service facility site selection model;
the method further comprises the steps of constructing a target network based on road network data and land block point location data;
said constructing a utility site selection model based at least on said constraints, comprising:
constructing the following formula based on the target network and constraint conditions to form the public service facility site selection model:
；
；
；
wherein I is a block center point set for determining a target block based on the target network, I is any block center point in the block center point set I, and X is a block center point i For the addressing variable to be solved, P i Is population number of the center point i of the land block, Y i Coverage variables for service area, D ij As a relationship variable between the site and the service area,weights of constraint conditions, G i 、C i 、T i The land parcel center points respectively determined based on the basic dataiIs the geological condition of G, the land development cost and the traffic convenience, G, C, T are respectively i 、C i 、T i A constant threshold of (2);
x when selecting point i as the public service facility site point i 1, otherwise X i At 0, Y when the selected addressing point can provide service for the i point i 1, or 0, when the corresponding service area can cover the i point by taking the j point as the addressing point, D ij And is 1, otherwise 0,Nto the total number of public service facilities to be built, and the X i The sum is equal.
2. The utility site selection method of claim 1, wherein the base data includes at least one or more of:
population distribution data, geological condition data, traffic road network data, current public service facility poi point data, room price and land price data, house construction data, ecological protection red line area, non-construction land area, current land data and area boundary data.
3. The utility site selection method of claim 1, wherein the method further comprises:
determining each patch within the geographic region based on population-and-land-related class data in the base data;
determining a first area related to an ecological protection red line area, a non-construction land area and an area with geological conditions not meeting construction requirements based on the data related to the land and the construction in the basic data;
Screening the first sheet area from the sheet areas, and calculating the matching degree of the remaining second sheet areas; or (b)
Removing the ecological protection red line area, the non-construction land area, the area with geological conditions not meeting the construction requirement and the corresponding basic data in the first area to form a third area;
and carrying out matching degree calculation on the second and third sections.
4. A utility site selection method as recited in claim 3, wherein said determining a degree of match of demographic information and utility distribution information for each sector in the geographic area based on the base data calculation comprises:
determining demographic data of the second and/or third segment based on the base data;
performing cluster analysis on the population distribution data to determine distribution data of population clustering points in the second and third regions;
determining the existing public service facility poi point data and road network data in the second and/or third areas based on the basic data;
determining a service area of an existing public service facility based on public service facility service range criteria, the poi point data and road network data, wherein the service area characterizes the public service facility for providing services for population in the service area;
And calculating and determining the matching degree of population distribution information of the corresponding region and public service facility distribution information based on the distribution data of the clustering points and the service region.
5. The utility site selection method of claim 4, wherein the determining a constraint condition based on the base data corresponding to the target zone and utility construction requirements comprises:
determining geological condition data, land price/house price data, traffic data and population data of each land block in a zone based on the basic data corresponding to the target zone;
the constraint conditions are determined based on the determined data and public service facility construction requirements, and the constraint conditions are conditions required to be provided for the region for constructing the public service facility.
6. The utility site selection method of claim 5, wherein the determining the constraint based on the determined data and utility construction requirements comprises:
determining a first constraint condition based on the geological condition data and public service facility construction requirements, wherein the first constraint condition is used for constraining geological conditions of the site selection area;
determining a second constraint condition based on the land price/house price data and public service facility construction requirements, the second constraint condition being used to constrain construction costs of public service facilities to constrain selection of the site selection area based on construction costs;
Determining a third constraint condition based on the traffic data and public service facility construction requirements, wherein the third constraint condition is used for constraining traffic convenience of the site selection area;
a fourth constraint is determined based on the demographic data and utility construction requirements, the fourth constraint being for constraining a population number that is able to enjoy utility located in the addressed area.
7. The utility site selection method of claim 6, further comprising:
determining land block data, road network data and population cluster point distribution data in the target zone;
determining population numbers of each plot in the target plot based on the plot data and population cluster point distribution data;
and generating land parcel point location data with population quantity attributes based on the geographic coordinates of each land parcel and the corresponding population quantity.
8. A utility site selection apparatus, comprising:
the first obtaining module is used for obtaining basic data of a designated geographic area, wherein the basic data are related to population, land and construction of the area;
the first calculation module is used for calculating and determining the matching degree of the population distribution information of each region in the geographic region and the public service facility distribution information according to the basic data;
The first determining module is used for determining a target fragment corresponding to the matching degree meeting the first threshold according to the matching degree and the first threshold;
the second determining module is used for determining constraint conditions according to the basic data corresponding to the target area and the public service facility construction requirements, and the constraint conditions are used for selecting addresses of the public service facilities;
the construction module is used for constructing a public service facility site selection model at least based on the constraint conditions;
the address selection module is used for determining public facility construction addresses of areas to be planned or areas to be planned through the public service facility address selection model;
the construction module is also used for constructing a target network based on road network data and land block point location data;
said constructing a utility site selection model based at least on said constraints, comprising:
constructing the following formula based on the target network and constraint conditions to form the public service facility site selection model:
；
；
；
wherein I is a block center point set for determining a target block based on the target network, I is any block center point in the block center point set I, and X is a block center point i For the addressing variable to be solved, P i Is population number of the center point i of the land block, Y i Coverage variables for service area, D ij As a relationship variable between the site and the service area,weights of constraint conditions, G i 、C i 、T i The land parcel center points respectively determined based on the basic dataiIs the geological condition of G, the land development cost and the traffic convenience, G, C, T are respectively i 、C i 、T i A constant threshold of (2);
x when selecting point i as the public service facility site point i 1, otherwise X i At 0, Y when the selected addressing point can provide service for the i point i 1, or 0, when the corresponding service area can cover the i point by taking the j point as the addressing point, D ij And is 1, otherwise 0,Nto the total number of public service facilities to be built, and the X i The sum is equal.
9. A computer device, comprising:
one or more processors;
a memory configured to store one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the utility site selection method of any of claims 1-7.
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