CN113032693A - 15-minute life circle dividing method considering medical facility service capacity - Google Patents
15-minute life circle dividing method considering medical facility service capacity Download PDFInfo
- Publication number
- CN113032693A CN113032693A CN202110307433.1A CN202110307433A CN113032693A CN 113032693 A CN113032693 A CN 113032693A CN 202110307433 A CN202110307433 A CN 202110307433A CN 113032693 A CN113032693 A CN 113032693A
- Authority
- CN
- China
- Prior art keywords
- residential
- urban
- facility
- points
- minute
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000005180 public health Effects 0.000 claims abstract description 8
- 208000015181 infectious disease Diseases 0.000 claims description 10
- 238000005516 engineering process Methods 0.000 claims description 4
- 238000012795 verification Methods 0.000 claims description 2
- 238000000638 solvent extraction Methods 0.000 claims 5
- 230000002349 favourable effect Effects 0.000 abstract description 2
- 238000009792 diffusion process Methods 0.000 abstract 1
- 238000003012 network analysis Methods 0.000 description 6
- 238000013461 design Methods 0.000 description 4
- 241000711573 Coronaviridae Species 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000008506 pathogenesis Effects 0.000 description 2
- 206010035664 Pneumonia Diseases 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000013468 resource allocation Methods 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Primary Health Care (AREA)
- Educational Administration (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a 15-minute living circle residential area dividing method considering the service capacity of medical facilities. Dividing the analysis range of living circle residential areas according to the main road and the secondary road of a city, taking medical facilities as necessary facility points and residential points as candidate facility points and demand points, taking a 15-minute walking distance as a maximum coverage range, and taking the number of beds of the medical facilities as service capacity constraint; for the condition that no medical facilities exist in the analysis range, the resident points are simultaneously used as facility points and request points, and the maximum number of residences in the residential area of the 15-minute living circle is used as service capacity constraint; and solving by using a coverage model with capacity limitation in the maximization, and taking the solved facility points and the distributed residential points thereof as 15-minute living circle residential areas. The living area determined by the method can ensure that the living area can obtain effective medical service under relatively closed management measures when dealing with sudden public health events, and is favorable for reducing the spread and diffusion of epidemic situations.
Description
Technical Field
The invention belongs to the technical field of urban planning, and particularly relates to a 15-minute living circle residential area division method considering urban medical facility service capacity.
Background
In recent years, due to the change of the life style and the life habit of residents, the existing design specifications of residential areas cannot adapt to the living needs of people in the new era. In order to ensure comfortable living environment, scientifically, reasonably, economically and effectively utilize space and land and ensure the planning and design quality of urban residential areas, the design standard (GB50180-2018) for urban residential areas is invented, the new urban residential area planning and design standard replaces the past grading mode of residential areas, residential areas and residential groups with the concept of fifteen-minute living rings, ten-minute living rings and five-minute living rings, the maximum change is to use the walking time of people as the starting point for grading and matching facilities, the method highlights that residents can meet the corresponding living service requirements in the proper walking time and is convenient for guiding the reasonable layout of matched facilities. Meanwhile, the old residential area is convenient to reform, the bearing capacity of facilities and the service coverage of the facilities are checked in the urban updating work, and the gradual leakage and gap filling is facilitated.
However, at present, the living area of the living circle is divided only by controlling the range and the number of the users, or by using the technologies such as the mobile phone signaling, and the like, and the influence of the service capacity of the public facilities on the living area of the living circle is not considered. The service capacity (such as the number of beds) of the medical facility is used as a constraint condition, the medical facility is selected, the maximum residential area coverage is carried out, and the method has important significance for developing medical rescue in the residential area of the living circle and reducing spread of epidemic situations under the condition of sudden public health incidents. The invention provides a method for dividing living quarters of a 15-minute living circle of a city by taking the number of beds of urban medical facilities as service capability constraint.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for dividing living quarters of an urban 15-minute living circle based on the service capability of urban medical facilities. The method evaluates the service capacity of the medical facilities by the number of beds of the medical facilities, obtains the hospitalization requirements of the residential points by combining the number of residents of each residential point of the city and the infection rate, solves by utilizing a coverage model with capacity limitation in maximization, and takes the solved residential points and the distributed residential points thereof as the main basis for dividing residential areas of a living circle for 15 minutes.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a 15-life circle residential district division method considering service capacity of medical facilities, comprising the steps of:
1. acquiring and sorting basic data;
POI data collection: and acquiring urban POI data by using a Gaode map open platform and a Python crawler technology. The POI data includes POI name, POI category, longitude, latitude information.
Acquiring and processing urban road data: and obtaining urban road data by opening a source Map through Open Street Map (OSM), and correcting the urban road network by combining with the urban actual road network. And importing the geographic information system to establish a geographic information database. The urban road data comprises road line type, road grade and road section length information.
Hospital bed data: and utilizing Python to combine with the city POI data, collecting hospital bed position data from each urban medical facility organ network, and connecting the bed position data into the city POI attribute list through an ArcGis software attribute list connecting tool.
Cell number data: and utilizing Python to combine with the city POI data, collecting cell number data from the Internet, and connecting the cell number data into the city POI attribute table through an ArcGIS software attribute table connecting tool.
2. Establishing a traffic network model;
establishing a file geographic information database by utilizing ArcGIS software, importing the urban POI data and the urban road data into the file geographic information database, establishing an urban road network data set, carrying out topology verification, considering the actual urban specific road traffic control measure setting, and taking walking time (minutes) as the passing cost of the traffic network. Thereby completing the establishment of the traffic network model.
3. Primarily dividing residential areas of 15-minute living circles in cities;
and newly building a Shapefile format file in the file geographic information database, setting the element type as a plane, selecting a space reference coordinate system as a WGS 1984 geographic coordinate system, opening an editor to create elements, and primarily dividing the residential areas of the 15-minute living circle of the city according to the city main road and the secondary main road to ensure that the distance between each main road or each secondary main road is within the range of 1500m to 2500 m.
4. Performing a 15 minute circle of living quarters within the preliminary defined city a coverage model analysis that maximizes capacity limits for the municipal medical facility;
regarding the 15-minute living circle residential area of the city with the urban medical facilities, taking the residential points as request points and candidate facility points, and taking each medical facility in the city as a necessary facility point; for the 15-minute living circle residential area of the city without the urban medical facilities, the residential point is taken as a candidate facility point and is also taken as a request point, the infection rate determined by epidemiological characteristics of emergent public health events is used for determining the bed position demand quantity of each residential point of the city to the urban medical facilities, the bed position quantity of the urban medical facilities is taken as the service capacity of the medical facilities, the coverage area model with capacity limitation is maximized for solving, and the mathematical expression of the model is that
In the formula, I represents each resident point set; j represents a facility point set which comprises medical facilities as indispensable facility points and resident points as candidate facility points; di，jRepresenting the actual distance from the residential point i to the facility point j; dmaxRepresents the 15-minute maximum walking distance of the residential site i; solving the maximum number P of the facility points; p is a radical ofiRepresenting the demand of a resident i on a bed of the medical facility;
representing the infection rate as determined by epidemiological characteristics of emergent public health events; hiThe number of the residents of the residential site i is represented; cjRepresents the service capability of the urban medical facility j; xi，jThe number of the residential points i is 1 when the residential points i are distributed to the urban medical facilities j, otherwise, the residential points i are 0; y isjIndicating that the urban medical facility j is assigned to a certain 15 minute living area as 1, otherwise as 0.
In the case where no medical facility is provided in the analysis range, the number of residents is 20000 as constraints on the service capacity of the facility point, using the residential points as both the facility point and the request point, and solving using the coverage model with the maximum capacity limit.
5. Further defining a 15-minute living circle residential area of a city;
and further determining the residential area range of each 15-minute living circle by using the city main road, the secondary main road, the branch road and the boundary around the residential points.
The invention has the beneficial effects that:
(1) the invention takes the number of beds as the service capacity constraint to select the site of the medical facility, and divides the distributed residential points into living circle residential areas as a whole, thereby ensuring the resource allocation level of the medical facility in the living circle residential areas.
(2) The invention can ensure that living quarters of a living circle can obtain effective medical service within 15 minutes under relatively closed management measures for dealing with urban emergent public health events, and is beneficial to reducing the spread of epidemic situations.
(3) The method for dividing the residential areas of the 15-minute living circle of the city, which is provided by the invention, has the boundary combined with the main roads of the city as the boundary, and is favorable for implementing and implementing the planning and construction of the 15-minute living circle in the city updating and old city reconstruction.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a representation of POI data field information in accordance with the present invention;
FIG. 3 is Handan urban main urban area urban traffic network data according to an embodiment of the present invention;
FIG. 4 is a flow chart of the present invention for collecting the data of bed positions and data of resident data of the urban medical facility;
figure 5 is data of handan urban resident number in a main city according to an embodiment of the present invention;
FIG. 6 is a Handan urban medical facility bed data according to an embodiment of the present invention;
FIG. 7 is a flowchart of the present invention for creating a file geographic information database;
FIG. 8 is a flow chart of the present invention for establishing a traffic network model;
figure 9 is a Handan urban mass transit network model in accordance with an embodiment of the present invention;
fig. 10 is a preliminary definition result of a Handan urban city primary zone boundary for 15 minutes according to an embodiment of the present invention;
FIG. 11 is a flow chart for solving the present invention using a maximized coverage model with capacity constraints;
FIG. 12 is a result of solving a coverage model with capacity limitation for maximizing a 15-minute life circle in a city with medical facilities according to an embodiment of the present invention;
FIG. 13 shows the results of a coverage model solution with capacity constraints for maximizing a 15-minute life circle in a city without medical facilities according to an embodiment of the present invention;
FIG. 14 shows the result of further division of a 15-minute circle of life in a city with medical facilities according to an embodiment of the present invention;
FIG. 15 shows a further division of a 15-minute life circle of a city without medical facilities according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention clearer and clearer, the present invention is further described in 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 invention and are not intended to limit the invention.
As shown in fig. 1 to 15: a 15-minute living circle residential district dividing method considering service capability of an urban medical facility, comprising:
1, acquiring and arranging basic data, specifically comprising:
1.1, urban POI data acquisition: the city POI information is obtained by utilizing the electronic map service application interface through network information collection, analysis and extraction technology, as shown in figure 2, and the POI has OBJECTID, NAME, ADDRESS, city, lng and lat information fields. In the POI field information, an OBJECTID field is the number of each POI, a NAME field is the NAME of each POI, a city field is the city of each POI, an lng field is the longitude of each POI, and a lat field is the latitude of each POI.
1.2, the urban traffic network data: as shown in fig. 3, the data of the urban basic traffic network is acquired through an Open Street Map (OSM), and the data includes the following information: urban main road, urban secondary main road and urban branch road.
1.3 the bed data and the resident number data of the urban medical facility: through the Python internet information crawler technology, accessing the urban medical facility website and the website containing the cell information in batch, extracting the urban medical facility bed data and the cell household data contained in a webpage text, and respectively connecting the obtained urban medical facility bed data and the obtained urban household data to the urban medical facility data and the urban household data obtained in the step 1.1 by using an attribute table connecting tool in the geographic information system ArcGis software, wherein the operation flow is shown in fig. 4, the cell household data is shown in fig. 5, and the medical facility bed data is shown in fig. 6.
2, establishing the urban traffic network model, specifically comprising:
2.1 establishing the file geographic information database: and establishing the file Geographic database by utilizing the Geographic Information System (GIS). Specifically, the operation is to create the file geographic information database under the link of the directory list folder in ArcGis, and import the POI data of each city and the urban traffic network data into the created file geographic database, and the operation flow is shown in fig. 7.
2.2, establishing the traffic network model: by utilizing ArcGis software, firstly, newly building an element data set in the built file geographic database, setting a coordinate system WGS 1984UTM Zone, setting an XY tolerance to be 0.001Meter and a Z tolerance to be 0.001, and importing the urban basic traffic network data into the element data set. And secondly, building a network data set under the element data set, adding the urban basic traffic network data serving as element classes into the network data set, constructing a turning model in the network model, and modeling the elevation of the network element by using an elevation field. Next, respectively assigning time cost and distance cost to the network data, wherein the time cost is the time of passing through each road section and is in minutes; the distance cost is the distance of each road section, the distance is taken as a unit of meter, and the data types are double-precision floating point type data. Next, the travel mode is set to walking and the impedance is set to time cost (minutes), respectively. And finally, obtaining abstract information of the traffic network model, checking whether the relevant settings are accurate, and finishing the establishment of the traffic network model after checking that no errors exist. The operation flow is shown in fig. 8, and the obtained result is shown in fig. 9.
3 according to the main road and the secondary road in the urban road network and the administrative boundary limitation, preliminarily dividing the residential areas of the 15-minute living circle of the city, specifically comprising:
3.1 creating a Shapefile format file: and step two, establishing a Shapefile format file in the geographic information database, selecting a surface for element types, and selecting a space reference coordinate system as a WGS 1984 geographic coordinate system.
3.2 carrying out primary division on residential areas of 15-minute living quarters in cities: and (3) selecting the Shapefile format file established in the step (3.1), clicking an editor, selecting to begin editing to establish elements, primarily dividing the living area of the city within 15 minutes according to the main road and the secondary road of the city, ensuring the distance between the main road and the secondary road to be within the range of 1500m to 2500m, finally clicking the editor, selecting and saving the edited content, and completing the primary division of the living area of the city within 15 minutes, wherein the obtained result is shown in figure 10.
4, performing a coverage area model analysis on the preliminary division result of the residential areas of the 15-minute living circle of the city aiming at the urban medical facilities, wherein the operation flow is shown in fig. 11 and specifically comprises the following steps:
4.1, perfection of the urban POI information: according to the analysis results of the infection and pathogenesis epidemiological characteristics of the novel coronavirus pneumonia close contact person in a certain region of Wuhan city [ Hu Yong Feng, Liu Li Ping, Yao Xiqing, and the like ] (facial eterminal, Liu Li Ping, Yao Xiqing, and the like. [ J ]. modern preventive medicine 2020,47(21):3993-3997.] on the analysis results of the infection and pathogenesis characteristics of the novel coronavirus, the total infection rate of the novel coronavirus close contact person is 6.23 percent to determine the bed position demand of the medical facilities of each residential site in the city, and the value is equal to the multiplication of the infection rate by the number of households of the residential site by 6.23 percent.
4.2 solving for 15 minute circle populated areas of cities with medical facilities using a coverage model that maximizes capacity constraints: the solving steps are as follows: firstly, entering ArcGis software of a geographic information system, opening Network analysis (Network analysis module) under an expansion module, and building a position distribution layer under the module. And next, loading the position of the request point, taking each resident point in the geographic information database as the request point, importing the request point into the position distribution map layer, setting the Weight field (Weight) as the required quantity of each resident point to the bed of the urban medical facility, and setting the direction of leaving the traffic network to reach the destination point as one side of a (CurbAproach) road. And next, loading the position of a Facility point with necessary options, taking each medical Facility in the geographic information database as the Facility point, and loading the position of the Facility, wherein the Type (Facility Type) of the Facility is set as the necessary option. And next, loading candidate item Facility point positions, taking each residential point in the geographic information system as a Facility point loading Facility position, and setting a Facility Type (Facility Type) as a candidate item. Next, the Weight (Weight) is set to the number of beds at each medical facility point and the number of home sets at each residential site 20000, the position location selection uses geometry, and the search tolerance is set to 800-. And opening a Network analysis window, entering high-level setting of the position distribution layer attribute, selecting a problem type as a coverage model with capacity limitation to the maximum, and setting impedance interruption as 15 minutes, namely, taking walking for 15 minutes as a constraint condition. Next, a solving button is clicked, current analysis is performed, a solving result of the coverage area model with the maximum capacity limit is obtained, an analysis range of a 15-minute living area residential area with a medical facility in the embodiment is selected, and a position distribution result is obtained by solving, as shown in fig. 12.
4.3 solving for urban 15 minute living circle populated areas without medical facilities using a coverage model that maximizes capacity constraints: the solving steps are as follows: firstly, entering ArcGis software of a geographic information system, opening Network analysis (Network analysis module) under an expansion module, and building a position distribution layer under the module. And next, loading the position of the request point, taking each resident point in the geographic information database as the request point, introducing the request point into the position distribution map layer, setting the Weight field (Weight) as the number of the resident points of each resident point, and setting the direction of leaving the traffic network to reach the destination point as one side of a (CurbAproach) road. And next, loading the Facility point position, taking each residential point in the geographic information database as a Facility point, loading the Facility position, setting the Facility Type (Facility Type) as a candidate item, and setting the Weight (Weight) as the number of residences 20000. The position location selection uses geometry with a search tolerance set to 800-1200 meters (a distance of about 15 minutes for a person to walk). And opening a Network analysis window, entering high-level setting of the position distribution layer attribute, selecting a problem type as a coverage model with capacity limitation to the maximum, and setting impedance interruption as 15 minutes, namely, taking walking for 15 minutes as a constraint condition. Next, a solving button is clicked, the current analysis is operated, the solving result of the coverage area model with the maximum capacity limit is obtained, a 15-minute living area analysis range without medical facilities in the embodiment is selected, and the result obtained by performing position allocation solving is shown in fig. 13.
5, further defining a 15-minute living circle residential area in the city, specifically comprising:
5.1 creating a Shapefile format face file: and step two, establishing a Shapefile format file in the geographic information database, selecting a surface for element types, and selecting a space reference coordinate system as a WGS 1984 geographic coordinate system.
5.2 further define urban 15 minute living circle habitats: according to the solving result of the coverage model with the maximum capacity limit obtained in the step 4, the urban 15-minute living circle residential areas of the living circle residential areas with medical facilities and the living circle residential areas without medical facilities selected in the embodiment are further defined according to the urban road and the cell boundary by combining the urban traffic network, and the obtained results are respectively shown in fig. 14 and fig. 15.
Claims (7)
1. A 15-minute living circle residential district dividing method considering service capability of an urban medical facility, characterized by comprising the steps of:
the method comprises the following steps: acquiring and sorting basic data: the method comprises the steps of acquiring city POI data, city hospital bed position data and city resident number data by using a high-grade map open platform and a Python crawler technology; obtaining urban road data by opening a source Map through an Open Street Map (OSM), correcting an urban road network by combining with an urban actual road network, and importing the urban road network into a geographic information system to establish a geographic information database;
step two: establishing a traffic network model: establishing an urban road network data set by using ArcGIS software and combining the geographic information database obtained in the step one, carrying out topology verification, and correcting the urban road network data set according to the actual condition;
step three: according to the main road and the secondary main road in the urban road network and administrative boundary limitation, preliminarily dividing residential areas of 15-minute living quarters of the city;
step four: utilizing a coverage area model with maximum capacity limit, and combining the bed number of the urban hospital and the number of the urban residential points, and performing position distribution model analysis with maximum capacity limit in the preliminarily defined urban 15-minute living circle residential area in the step three;
step five: and combining the analysis result of the coverage area model with the maximized capacity limit in the step four, and taking the solved facility points and the distributed residential points thereof as 15-minute living circle residential areas.
2. The 15-minute living circle residential district partitioning method considering the service capability of the urban medical facility as claimed in claim 1, wherein: the urban POI data related in the first step is collected from a Goodpasture map API development platform by utilizing a Python crawler tool and comprises POI names, POI categories, longitudes and latitudinal information.
3. The 15-minute living circle residential district partitioning method considering the service capability of the urban medical facility as claimed in claim 1, wherein: the urban road data is acquired through an OpenStreetMap open source map and comprises road line type, road grade and road section length information.
4. The 15-minute living circle residential district partitioning method considering the service capability of the urban medical facility as claimed in claim 1, wherein: the traffic network model related in the second step comprises urban roads, urban residential points and urban medical facilities, and the walking time (minutes) is used as the passing cost of the traffic network.
5. The method for dividing the residential area of the 15-minute living circle considering the service capacity of the urban medical facility, according to the main road, the secondary main road and the administrative boundary limitation in the urban road network, which are involved in the third step, the residential area of the 15-minute living circle of the city is divided primarily, according to the following claims, wherein: the method controls the primary division of the 15-minute living circle residential areas of the city to be defined by city trunk roads or secondary trunk roads, and ensures that the distance between each trunk road or each secondary trunk road is in the range of 1500m to 2500 m.
6. The 15-minute living circle residential district partitioning method considering the service capability of the urban medical facility as claimed in claim 1, wherein: the coverage model for maximizing the capacity limit involved in the fourth step assumes the capacity service capability of the medical facility as the number of beds, and determines the bed demand of each city resident to the urban medical facility according to the infection rate determined by the epidemiological characteristics of the emergent public health event, and the coverage model for maximizing the capacity limit is
In the formula: i-set of residential points
J-set of facility points, including medical facilities as mandatory facility points and residential points as candidate facility points
I belongs to I-the ith residential point in the residential point set
J belongs to J-the J th facility point in the facility point set
di，jActual distance from residential point i to urban facility point j
dmax15 minute maximum walk distance for residential site i
P-maximum number of facility points to solve P
Hi-residentsNumber of households of point i
piThe quantity of demand of the residential site i on the bed of the medical facility
CjService capability of urban medical facility j
Xi，j-the residential point i is 1 when it is assigned to the utility point j, otherwise it is 0
Yj-facility point j is 1 when divided into a certain 15 minute life circle, otherwise 0
The objective function (equation 1) is used to ensure that the coverage of the facility points is maximized; the constraint (equation 1a) is to avoid a certain residential site being served by a plurality of facility sites; the constraint condition (formula 1b) is used for controlling the total number of the solved facility addresses not to exceed the set maximum number of facilities; the formula 1c is used for determining the bed demand of each resident point in the city to the urban medical facilities according to the infection rate determined by the epidemiological characteristics of the emergent public health incident; the constraint condition (formula 1d) is used for ensuring that the number of the residents in the clinic, which are served by the urban medical facility, does not exceed the service capacity of the urban medical facility; the constraint condition (equation 1e) is to ensure that the residential site i to the facility point j can be reached under the 15-minute walk condition; the judgment condition (equation 1f) is to judge whether the residential point i is served by a certain facility point j; the judgment condition (formula 1g) is to judge whether j is divided into a certain 15-minute life circle.
7. The 15-minute living circle residential district partitioning method considering the service capability of the urban medical facility as claimed in claim 1, wherein: the coverage area model with the capacity limit maximized, which is related in the fourth step, is used for preliminarily defining 15-minute living circle residential areas of the city with medical facilities aiming at the third step, selecting the medical facilities as necessary facility points, selecting the residential points as candidate facility points and request points, using the bed number of the medical facilities as service capacity constraint, and solving by using the coverage area model with the capacity limit maximized; for the condition that no medical facilities are arranged in the analysis range, the resident points are simultaneously used as the facility points and the request points, the number of the residences 20000 is used as the maximum service capacity constraint of the facility points, and the coverage model with the maximum capacity limit is used for solving.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110307433.1A CN113032693A (en) | 2021-03-23 | 2021-03-23 | 15-minute life circle dividing method considering medical facility service capacity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110307433.1A CN113032693A (en) | 2021-03-23 | 2021-03-23 | 15-minute life circle dividing method considering medical facility service capacity |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113032693A true CN113032693A (en) | 2021-06-25 |
Family
ID=76472775
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110307433.1A Withdrawn CN113032693A (en) | 2021-03-23 | 2021-03-23 | 15-minute life circle dividing method considering medical facility service capacity |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113032693A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115375108A (en) * | 2022-08-01 | 2022-11-22 | 北京清华同衡规划设计研究院有限公司 | Data processing facility layout method, system, terminal and storage medium |
-
2021
- 2021-03-23 CN CN202110307433.1A patent/CN113032693A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115375108A (en) * | 2022-08-01 | 2022-11-22 | 北京清华同衡规划设计研究院有限公司 | Data processing facility layout method, system, terminal and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou | |
| CN111026823B (en) | Resource utilization associated network model planning method based on geographic position data | |
| CN106909692B (en) | Method for calculating urban public facility coverage radiation index | |
| CN108665149B (en) | Method and system for measuring and calculating degree of mixing based on urban functions | |
| CN111581315B (en) | Public service facility reachability calculation method and device | |
| CN105677804A (en) | Determination of authority stations and building method and device of authority station database | |
| Li et al. | Explore the recreational service of large urban parks and its influential factors in city clusters–Experiments from 11 cities in the Beijing-Tianjin-Hebei region | |
| Kang | Effects of the human and built environment on neighborhood vitality: Evidence from Seoul, Korea, using mobile phone data | |
| CN112288311A (en) | Convenient and fast residential area supporting facility metering method based on POI data | |
| CN114881550B (en) | Resource equalization allocation method and system based on spatial information | |
| CN112365391A (en) | Land diversity measurement method based on 'homeland survey' data | |
| Wang et al. | Measuring spatial accessibility to ecological recreation spaces in the Pearl River delta region: an improved two-step floating catchment area method | |
| Rekha et al. | Spatial accessibility analysis of schools using geospatial techniques | |
| Xuan et al. | Research on correlation between spatial quality of urban streets and pedestrian walking characteristics in china based on street view big data | |
| CN113032693A (en) | 15-minute life circle dividing method considering medical facility service capacity | |
| CN104794164B (en) | Method based on the social parking demand of data identification settlement parking stall matching of increasing income | |
| Zhu et al. | Ridership prediction of urban rail transit stations based on AFC and POI data | |
| CN112232599A (en) | Public health event emergency medical facility site selection method based on POI data | |
| CN113343164A (en) | Rural residential point social network modeling method based on public service facility configuration | |
| Dong et al. | Automatic identification and feature recognition of the metro-led underground space in China based on point of interest data | |
| Han et al. | Optimal layout of tourist toilets using resilience theory: An empirical study on Dunhua City in ethnic region of China | |
| CN113011768B (en) | Public facility data processing method, system, electronic device and medium | |
| You et al. | [Retracted] The Accessibility of Educational Public Service Facilities with Two‐Step Mobile Search Taking Hetao District of Ganzhou City as an Example | |
| Aboushal | Regenerative design of a defined urban space using CityGML model | |
| Hashim et al. | Urban landscape changes in kampung baru, Kuala Lumpur, from 1969 to 2004 as observed on maps |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210625 |
|
| WW01 | Invention patent application withdrawn after publication |