CN114399128B - Urban physical examination evaluation system and method based on sustainable development concept - Google Patents
Urban physical examination evaluation system and method based on sustainable development concept Download PDFInfo
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Abstract
The application discloses a city physical examination evaluation system and method based on sustainable development concept, belonging to the field of data processing, wherein the system comprises: the system comprises an index setting module, a data acquisition module, a data storage module, a standard value setting module, a data processing and calculating module and a city physical examination evaluation display module. The method comprises the following steps: setting a calculation formula corresponding to the first-level index, the second-level index, the third-level index and the second-level index; corresponding data are collected according to the first-level index; setting one or more city physical examination standard value calculation formulas; obtaining a calculation result of the third-level index, namely an urban physical examination result; storing the first-level index, the second-level index, the third-level index and all corresponding data; and displaying the city physical examination result in a graphical mode. The application solves the problems of unsustainable city physical examination system, lack of intelligent analysis, single data source and inaccurate city physical examination result.
Description
Technical Field
The application belongs to the field of data processing, and particularly relates to a city physical examination evaluation system and method based on a sustainable development idea.
Background
The urban physical examination evaluation system in the current market only supports single-year physical examination work, cannot support continuous physical examination work, needs to carry out system development again every year, and consumes more manpower and material resources. In addition, the urban evaluation system is more than basic display of urban physical examination indexes, has few display layers and lacks intelligent comprehensive analysis. Urban physical examination is a comprehensive and multi-element work and is a representation of resource fusion. More data sources for urban physical examination are directed to government departments and institutions, and fusion of data with third parties is lacking. There are few experience evaluation systems that use some methods for urban physical examination prediction and diagnosis, or propose multidimensional urban evaluation indexes, the algorithm is complex, it is not easy to popularize, and many data sources of urban physical examination are mathematical methods using estimation, and then projection of other multidimensional urban evaluation indexes, or prediction algorithms, are used on this basis, so that the prediction result is inaccurate and cannot be practically applied.
Aiming at the problems of unsustainable urban physical examination system, lack of intelligent analysis, single data source and inaccurate urban physical examination result in the prior art, no effective solution is proposed at present.
Disclosure of Invention
Based on the technical problems, the application provides a city physical examination evaluation system and method based on a sustainable development concept;
in a first aspect, the present application proposes a city physical examination evaluation system based on sustainable development concept, as shown in fig. 1, including: the system comprises an index setting module, a data acquisition module, a data storage module, a standard value setting module, a data processing and calculating module and a city physical examination evaluation display module;
the data acquisition module is respectively connected with the data storage module and the index setting module, the data storage module is connected with the index setting module, the data storage module, the index setting module and the standard value setting module are respectively connected with the data processing and calculating module, and the data processing and calculating module is connected with the urban physical examination evaluation display module;
the index setting module is used for setting a calculation formula corresponding to the first-level index, the second-level index, the third-level index and the second-level index;
the data acquisition module is used for acquiring corresponding data according to the first-level index set by the index setting module;
the data storage module is used for storing the first-level index, the second-level index and the third-level index and all corresponding data;
the standard value setting module is used for setting one or more city physical examination standard value calculation formulas;
the data processing and calculating module is used for converting the second-level index into a standard value according to the corresponding data acquired by the first-level index and the standard value calculation formula of the urban physical examination, setting or calculating to obtain a corresponding weight of the second-level index, and carrying out weighted summation on the second index to obtain a calculation result of the third-level index, namely the urban physical examination result;
the city physical examination evaluation display module is used for displaying the city physical examination result in a graphical mode.
The first-level index refers to basic data which can be directly acquired.
The second-level index refers to an indirect data index which can be obtained only through basic data calculation.
The third level of metrics includes a plurality of application metrics including one or more indirect data metrics.
The data acquisition module is provided with a data interface for acquiring data corresponding to the first-level index.
The city physical examination standard value calculation formula comprises:
if the second level index belongs to the range index, that is, the target value is an index in a range, the standard value calculation formula is as follows:
the city physical examination standard value calculation formula comprises:
if the second-level index belongs to a forward index, that is, the larger and the better the target value is, the standard value calculation formula is as follows:
if the second-level index belongs to a reverse index, that is, the smaller the target value is, the better the target value is, the standard value calculation formula is as follows:
in a second aspect, the application provides a city physical examination evaluation method based on a sustainable development concept, which comprises the following steps:
setting a calculation formula corresponding to the first-level index, the second-level index, the third-level index and the second-level index;
corresponding data are collected according to the first-level index;
setting one or more city physical examination standard value calculation formulas;
converting the second-level index into a standard value according to the standard value calculation formula of the urban physical examination according to the corresponding data acquired by the first-level index, setting or calculating to obtain a weight corresponding to the second-level index, and carrying out weighted summation on the second index to obtain a calculation result of a third-level index, namely the urban physical examination result;
storing the first-level index, the second-level index, the third-level index and all corresponding data;
and displaying the city physical examination result in a graphical mode.
The setting or calculating to obtain the corresponding weight of the second-level index includes: presetting a corresponding weight of the second-level index, or obtaining the corresponding weight of the second-level index by adopting an intelligent weight analysis method.
The application has the beneficial effects that:
the application provides a city physical examination evaluation system and method based on a sustainable development concept, which solves the problems of unsustainable city physical examination system, lack of intelligent analysis, single data source and inaccurate city physical examination result.
Drawings
FIG. 1 is a schematic block diagram of an urban physical examination evaluation system based on a sustainable development concept according to an embodiment of the application;
FIG. 2 is a flowchart of an urban physical examination evaluation method based on a sustainable development concept according to an embodiment of the application;
FIG. 3 is a diagram of the overall architecture of a system in accordance with an embodiment of the present application;
FIG. 4 is a third level indicator diagram according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an embodiment of the present application;
FIG. 6 is a logic technology architecture design diagram of an embodiment of the present application;
FIG. 7 is a diagram of a database structure in accordance with an embodiment of the present application;
FIG. 8 is a system interface diagram of an embodiment of the present application;
FIG. 9 is a flowchart of user login according to an embodiment of the present application;
fig. 10 is a user-filled flowchart of an embodiment of the present application.
Detailed Description
The application is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and are not intended to limit the scope of the present application.
In a first aspect, the present application proposes a city physical examination evaluation system based on a sustainable development concept, comprising: the system comprises an index setting module, a data acquisition module, a data storage module, a standard value setting module, a data processing and calculating module and a city physical examination evaluation display module;
the data acquisition module is respectively connected with the data storage module and the index setting module, the data storage module is connected with the index setting module, the data storage module, the index setting module and the standard value setting module are respectively connected with the data processing and calculating module, and the data processing and calculating module is connected with the urban physical examination evaluation display module;
the index setting module is used for setting a calculation formula corresponding to the first-level index, the second-level index, the third-level index and the second-level index;
the data acquisition module is used for acquiring corresponding data according to the first-level index set by the index setting module;
the data storage module is used for storing the first-level index, the second-level index and the third-level index and all corresponding data;
the standard value setting module is used for setting one or more city physical examination standard value calculation formulas;
the data processing and calculating module is used for converting the second-level index into a standard value according to the corresponding data acquired by the first-level index and the standard value calculation formula of the urban physical examination, setting or calculating to obtain a corresponding weight of the second-level index, and carrying out weighted summation on the second index to obtain a calculation result of the third-level index, namely the urban physical examination result;
the city physical examination evaluation display module is used for displaying the city physical examination result in a graphical mode.
The first-level index refers to basic data which can be directly acquired.
The second-level index refers to an indirect data index which can be obtained only through basic data calculation.
The third level of metrics includes a plurality of application metrics including one or more indirect data metrics.
The data acquisition module is provided with a data interface for acquiring data corresponding to the first-level index.
The city physical examination standard value calculation formula comprises:
if the second level index belongs to the range index, that is, the target value is an index in a range, the standard value calculation formula is as follows:
the city physical examination standard value calculation formula comprises:
if the second-level index belongs to a forward index, that is, the larger and the better the target value is, the standard value calculation formula is as follows:
if the second-level index belongs to a reverse index, that is, the smaller the target value is, the better the target value is, the standard value calculation formula is as follows:
in a second aspect, the present application proposes a city physical examination evaluation method based on sustainable development concept, as shown in fig. 2, comprising the following steps:
step S1: setting a calculation formula corresponding to the first-level index, the second-level index, the third-level index and the second-level index;
step S2: corresponding data are collected according to the first-level index;
step S3: setting one or more city physical examination standard value calculation formulas;
step S4: converting the second-level index into a standard value according to the standard value calculation formula of the urban physical examination according to the corresponding data acquired by the first-level index, setting or calculating to obtain a weight corresponding to the second-level index, and carrying out weighted summation on the second index to obtain a calculation result of a third-level index, namely the urban physical examination result;
step S5: storing the first-level index, the second-level index, the third-level index and all corresponding data;
step S6: and displaying the city physical examination result in a graphical mode.
The setting or calculating to obtain the corresponding weight of the second-level index includes: and presetting the corresponding weight of the second-level index by an expert, or obtaining the corresponding weight of the second-level index by adopting an intelligent weight analysis method.
Examples
The urban physical examination evaluation system needs to integrate various data contents, such as travel data, air quality data, planning data, bus data, comment data and the like, and also comprises the contents of space geographic information data, thematic statistical information data, social perception information data and the like, and provides data support for the outside through data service, so that urban physical examination indexes are realized, urban signs and special indexes aiming at target guidance are comprehensively summarized by an 'index overview' function, and urban problems are focused; then analyzing the seven aspects of ecological livability, urban characteristics and traffic convenience one by one; the overall architecture of the system is shown in fig. 3 below, according to the system construction content. It should be noted that the embodiments are merely illustrative of specific implementations of the present disclosure, and other types of systems may be constructed in an actual construction system, so long as the technical features of the claims of the present disclosure are satisfied.
The urban physical examination evaluation system based on the sustainable development idea provided by the application firstly realizes integration of multi-source data in a sea city urban physical examination evaluation information system, can perform sustainable use function, is used for analysis and decision-making of government and city professional technicians, utilizes multi-source big data to perform urban physical examination and current situation evaluation, continuously tracks urban physical examination indexes, diagnoses urban health states, analyzes and assists decision-making, makes project list, monitors and evaluates urban construction, forms a full-period urban physical examination evaluation closed loop of 'physical examination-diagnosis-analysis evaluation-planning-construction-evaluation feedback', and continuously improves urban quality and urban treatment capability modernization level and makes positive contribution to urban construction.
In this embodiment, the system for evaluating urban physical examination at sea is taken as an example, and specifically illustrates transformation of urban physical examination from manpower to intellectualization. And constructing an urban physical examination data platform, continuously accumulating urban development data and annual assessment reports, and monitoring urban development and policy implementation effects. The method forms a data periodic acquisition, update and release mechanism, formulates a health index, and establishes a scientific and dynamic evaluation index mathematical model which is a necessary condition for urban physical examination intellectualization. The overall structure diagram of the esthetic examination evaluation system of the sea mouth city is shown in fig. 3, and is divided into a basic information layer, a data storage layer, an application service layer, a presentation layer and an application layer;
wherein the base information layer comprises hardware devices including: server, storage device, network device, security device, network facility. Those skilled in the art should know that a system should include hardware devices and connection relationships thereof, and the present application is not repeated.
The sensing data and the monitoring data are collected in real time through the internet, the internet of things, the satellite, the mobile phone, the camera and other sensors.
The data storage layer, the present application needs to store the corresponding data of the first-level index, the second-level index and the third-level index, and the first-level index includes: the specific indexes of the area of the built-up area of the municipal district, the rent of unit area, the income of the month average, the number of historic building registration, the number of historic buildings and the like are very large, and the application is only exemplified by the following data sources: remote sensing image data, vector coverage data, point location information data, road network data, three-dimensional live-action data, natural resource data, building construction data, garden and sanitation data, wei Jian commission service data, statistics office data, ecological environment data, travel culture office data, education office data, traffic office data, navigation information data, network public opinion data, mobile phone signaling data, LBS data (LBS, location Based Services), POI data (Point of Interest abbreviation or Point of Information abbreviation)), and Internet of things data are obtained by setting an API data interface for the data sources, and then carrying out denoising processing on information which is not worth and is not concerned by us, so as to extract effective data required by urban physical examination, wherein the effective data is the data contained in the first-level index which is already set.
In order to more quickly call the basic data, the storage mode adopts a classified index mode, namely the remote sensing image data, the vector coverage data, the point location information data, the road network data and the three-dimensional live-action data are stored in a basic space database, the natural resource data, the building construction data, the garden and sanitation data, the Wei Jian consistence service data, the statistics office data, the ecological environment data, the tourism culture office data and the education office data are stored in a professional service database, and the navigation information data, the network public opinion data, the mobile phone signaling data, the LBS data (LBS, location Based Services) and the POI data (Point of Interest abbreviation or Point of Information abbreviation) and the Internet of things data are stored in a social behavior perception database.
The application service layer comprises the following steps: data exchange service, data processing service, computing service, thematic statistics service, space analysis service, data query service, data directory service, location monitoring service, data publishing service, user authentication service;
the system comprises a data exchange service, a data query service, a data directory service, a position monitoring service, a data release service and a user authentication service; these several service contents are known to those skilled in the art, completely through their names, in particular the meaning of their reference and how the corresponding functions should be implemented, so that the present application will not be described in detail.
The key description is that the data processing service, the computing service, the thematic statistics service and the space analysis service are substantial, and correspond to the data processing and computing module, and the function of the data processing and computing module is to collect corresponding data according to the first-level index, convert the second-level index into a standard value according to the standard value computing formula of the urban physical examination, set or calculate to obtain the corresponding weight of the second-level index, and perform weighted summation on the second index to obtain the computing result of the third-level index, namely the urban physical examination result; the calculation formula of the urban physical examination standard value is contained in a calculation service, wherein in actual operation, the formula stored in the calculation service is called for carrying out operation in a data processing service, wherein the thematic statistics service is used for storing other calculation formulas, the purpose of the calculation formula in the thematic statistics service is to call for carrying out operation in the data processing service, the same space analysis service is also used for storing the calculation formula of space analysis, three services of the calculation service, the thematic statistics service and the space analysis service can be combined into the same service in actual implementation, and the system is used for quickly finding the stored formula, so that the formulas in the calculation service, the thematic statistics service and the space analysis service can be continuously updated and increased to adapt to the requirement of continuous change of urban examination in the future.
The presentation layer comprises: index overview, ecological livability, urban characteristics, traffic convenience, living comfort, multi-source containment, safety toughness, urban activity, dynamic monitoring, regional coordination, social satisfaction, case library, system setting and management; because of limitation of drawing space, the social satisfaction degree is not shown in fig. 3, wherein ecological livability, urban characteristics, traffic convenience, living comfort, multi-source containing, safety toughness and urban activity are third-level indexes set in the embodiment of the application, as shown in fig. 4, after the third-level indexes are subjected to data processing and calculating modules, the calculation result of the third-level indexes, namely the urban physical examination result, can be displayed on a display layer, and the display effect compared with historical data is added in the embodiment, for example, a user can call the living comfort degree of the sea market and compare the urban physical examination result of 2020.
The last layer is an application layer, which supports multiple users to simultaneously use no equipment to access the system.
The system is a micro-service architecture integrated on the basis of a traditional B/S system architecture, and the data storage mainly comprises a relational database, a non-relational database and file service, and provides a normalized data access interface on the basis, wherein the technical architecture is shown in figure 5.
The system logic technology architecture comprises four layers: the system comprises a user layer, an access control layer, an application service layer and a data storage layer. The access control layer comprises physical isolation equipment of the network and a Web server, and is the first layer for system access and request forwarding. The application service layer is a service processing center and is responsible for processing the service of the operation request submitted by the user. The data storage layer comprises a shared storage device, a database and a corresponding data backup device. Wherein the logic architecture diagram is shown in fig. 6.
According to the characteristics of the urban physical examination evaluation system, three main databases of a basic space database, a thematic service database and a social behavior perception database are formed by combining data characteristics, and the structural diagram of the databases is shown in figure 7. The city physical examination evaluation system collects and acquires data according to different hierarchical data acquisition modes, and an API interface of an external standard is shown in the figure 8:
after passing the authority verification, the user enters the system, the functional content of the system is displayed according to the authority range, the user can browse the related service information content, and the flow of the specific functional system is shown in figure 9.
The urban physical examination filling system can continuously and dynamically provide basic index data for the urban physical examination evaluation system and provide nearly 41 physical examination index data for 19 administrative departments. The specific operation flow is shown in fig. 10.
The above is the construction of the city physical examination evaluation system in the city of the sea, and the detailed description is as follows, and the specific implementation process of the city physical examination evaluation method is illustrated by the following example:
step S1: setting a calculation formula corresponding to the first-level index, the second-level index, the third-level index and the second-level index;
the setting of the index is based on:
in 2019, the Ministry of construction publishes an index system of eight aspects, namely ecological livability, urban characteristics, traffic convenience, living comfort, multi-element inclusion, safety toughness, urban vitality and social satisfaction investigation, and 36 indexes are all provided. In the working process, as part of index departments have no related statistical caliber or data statistics difficulty, two indexes are modified, namely basic public service coverage (%) of resident population (education, medical treatment, social security, housing, employment and senior citizen 6 items) (the number of participants in the social security system cannot be counted, and the departments such as basic senior citizen, medical treatment, loss, industrial injury and the like count the number of people without coverage so as to be separately described) and the coverage (%) of public space barrier-free facilities (the construction bureau and the residual linkage are not fully covered, so that sampling data are used).
Step S2: corresponding data are collected according to the first-level index;
step S3: setting one or more city physical examination standard value calculation formulas;
setting relevant standard standards, standard values of other mature evaluation systems, standard values of similar cities and the like. And calculating dimensionless standard values of the secondary indexes, wherein the range of the dimensionless standard values ranges from 0 to 1. Dividing the second level index into three categories, wherein the target value of the first category is a range, such as urban population density, and the first category is defined as a range index; the target value of the second class is 100%, or the larger the target value is, the better, for example, the basic public service coverage rate of the resident population is, and the index of the second class is defined as a forward index; the third class has the target value smaller and better, such as the larger number of occurrence of construction accidents per ten thousands of people in the city, and the index is defined as a reverse index. The three standard values are calculated by the following formulas:
the city physical examination standard value calculation formula comprises:
if the second level index belongs to the range index, that is, the target value is an index in a range, the standard value calculation formula is as follows:
the city physical examination standard value calculation formula comprises:
if the second-level index belongs to a forward index, that is, the larger and the better the target value is, the standard value calculation formula is as follows:
if the second-level index belongs to a reverse index, that is, the smaller the target value is, the better the target value is, the standard value calculation formula is as follows:
wherein the suggested target value and target value are based on:
the method is characterized by preferentially referring to planning and working schemes, planning targets and the like of departments of the city level, secondarily referring to national standard specifications (such as disaster prevention refuge site design specifications and urban living area planning design standards), provincial standard, and finally referring to index values and pre-estimated values of advanced cities of the country or the world by referring to public reports of comparative authorities.
Step S4: according to the corresponding data acquired by the first-level index, the second-level index is converted into a standard value according to the standard value calculation formula of the urban physical examination, and the method is exemplified as follows:
mainly based on mathematical statistics, the statistics method on reference standard and the formula on planning special term are used for estimation, sampling statistics and mathematical operation by using department official data and data on network.
And (5) mathematical operation. Example 1: regional development intensity (district build area/district area). The area of the built-up area of the urban district and the area of the urban district are first-level indexes, the area development intensity of the area is second-level indexes, the built-up area of the urban district is official statistical data provided by the urban natural resource planning bureau, the statistical annual report of urban construction is uniformly issued each year, and the numerical value is changed each year. The area of the urban district is basically unchanged, and the area is provided by the urban building or the urban natural resource planning bureau.
Example 2: the increase rate (%) of new entrance number of pupil, i.e. the increase rate of new entrance number of primary school in city in current year compared with the previous year. The newly increased number of the students in the current year and the first-grade number of the primary school in the previous year are provided by the city education bureau, and the values are all mastered by the city education bureau. Wherein, the number of newly-increased students in the current year and the number of first-grade primary school in the previous year are used as the first-grade index, and the increase rate of the number of newly-increased students in the pupil is used as the second-grade index.
Example 3: house renting capacity (renting per unit area/month revenue). The dominant revenue is specifically constituted by: the total income of the family deducts the income tax of the person who pays, the social security fee that the person pays and the income after accounting and subsidy of the investigator. The total household income includes the sum of the payroll income, the net income, the property income and the transfer income obtained by all household members in the investigation period, and does not include the property selling and lending income. The house renting condition is mainly aimed at urban residents, so that income calculation can be conducted by utilizing all resident in the urban residents. Average month income = urban resident average available income/12, which is queried from government work reports on the network. The unit area lease is data provided by the building. Wherein, the unit area renting and the month income are both first-level indexes, and the house renting capability is second-level indexes.
And (5) estimating. Example 1: historical building census listing rate (%), i.e., number of historical building listings/number of historical buildings x 100. Wherein the number of historic buildings is estimated. According to the number of the first historical building directory provided by the city tourism and culture bureau, the number of the historical buildings related to papers and articles related to the "Haikou city historical culture famous city protection planning (2006-2020)", wen Bo, the number of the partial historical buildings is summarized to obtain the integral number, and the number of the historical buildings of the whole city is obtained by using a ten-step method. The historical building listing number and the historical building number are first-level indexes, and the historical building census listing rate is second-level index.
Example 2: the proportion (%) of the population between 14 and 35 years old in the resident population.
Sampling and counting. Example 1: the proportion (%) of the population between 14 and 35 years old in the resident population. The city statistical office provides demographics of 0-14 years old, 15-64 years old, and no demographics of 14-35 years old. According to population structure data of the sixth population census of the sea city, 1% population sampling survey in 2015 and 2018 of the sea city statistical bureau, population quantity of 14-35 years old is calculated according to population proportion. Wherein, the population data of 0-14 years old and 15-64 years old is the first-level index, and the population proportion of 14-35 years old in the resident population is the second-level index.
Sampling and counting. Example 1: public space unobstructed coverage (%). In the current state of construction and investigation of the barrier-free environment of the city building bureau, a part investigation mode is sampling investigation, and a qualified public space barrier-free environment calculation average value, namely the public space barrier-free coverage rate, is selected according to a 'create barrier-free environment working standard' in the final evaluation.
Converting the second-level index into a standard value by adopting the standard value calculation formula of the urban physical examination set in the last step, directly setting to obtain the corresponding weight of the second-level index, and carrying out weighted summation on all the second indexes correspondingly included in the third-level index to obtain the calculation result of the third-level index, namely the urban physical examination result;
for example: the third-level index is set to be comfortable for life, and the second-level index included in the comfortable for life is as follows: the community coverage rate, the house renting capability, the kindergarten hair park rate, the community health service organization coverage rate and the household community aged service old people ratio are completed, if the weight of the community coverage rate, the house renting capability, the kindergarten hair park rate, the community health service organization coverage rate and the household community aged service old people ratio is set to be 2,2,1,1, the corresponding calculated standard value is: 1,1,0.9,0.8, weighted summation: 2×1+2×1+1×0.9+1×0.8=5.7, a calculation result of the third level index is obtained, and the values corresponding to comfort in life are: 5.7.
step S5: storing the first-level index, the second-level index, the third-level index and all corresponding data;
step S6: and displaying the city physical examination result in a graphical mode. The abstract data are expressed into graphs or images by using a data visualization expression technology, the evaluation result is more intuitively displayed by using graph algebra, and meanwhile, corresponding macroscopic development suggestions and regulation measures are immediately provided by diagnosing evaluation indexes and predicting future development trends and trends, so that some references are provided for systematic and integral promotion of urban construction and development, and the scientificity and coordinated consciousness of decision making are enhanced.
Another example of a city physical examination assessment method is as follows:
urban physical examination index vector statistics
Urban park green space service radius coverage (%). And (3) checking the distance corresponding to the walking five-minute range of the related standard by utilizing buffer area analysis in GIS space analysis, and constructing a public green land buffer area range by using an European buffer method. After the public green land buffer area is obtained, calculating the geometric area under the projection coordinate system of the public green land by using a geometric calculation tool, namely, the service radius coverage area of the urban park green land. Urban park green space service radius coverage = urban park green space service radius coverage area/urban built-up area 100. The urban park green space service radius coverage area and the urban built-up area are used as first-level indexes, and the urban park green space service radius coverage rate is used as second-level indexes.
Geocoding is a process of establishing a corresponding relation between literal description addresses and geographic position coordinates of the space, and belongs to a common means in data processing. For example, the community medical service center, the data provided by the city Wei Jian commission is a descriptive address, is a geocoded service using a hundred degree API, and matches the longitude and latitude of the community medical service center. In the matching process, some addresses are not completely described, and the final facility longitude and latitude are obtained by manual processing with reference to the position of the Goldmap.
Community assessment
The evaluation of each community in the Haikou city is a third-level index, and the evaluation is carried out on the aspects of traffic convenience, high-quality life quality, educational facility service level, medical health service level and land utilization efficiency in the physical examination evaluation information system of the Haikou city. The system comprises public facility coverage rate indexes such as public transportation stations, community park greenbelts, cafe tea houses and book bars, fitness centers, cultural leisure facilities, kindergarten, primary school, community medical service centers and the like, and special indexes such as road network density, commuting distance, functional mixing degree and the like.
The method for calculating the coverage rate of public facilities is different in different aspects. The final result is that fifteen minutes walking coverage of the facility is calculated, and then the coverage is intersected with the community boundary by using a GIS intersection analysis method. After the vector file of the intersecting result is obtained, the area under the projection coordinate system is calculated, and finally, the coverage area of different facilities of each community is calculated by utilizing the summarizing and counting function, and then the coverage area of the community is divided by the area of the community multiplied by one hundred percent, namely the coverage rate of different facilities.
Different kinds of public service facilities have different methods for walking fifteen minutes coverage, and the service area range of the facilities can be calculated more scientifically. Public transportation facilities use buffer methods in GIS space analysis, such as bus stops. Public service facilities, such as community park greenbelts, cultural leisure facilities, vegetable markets, commercial service facilities, fitness centers, etc., use two-step mobile search methods or buffer methods in GIS spatial analysis. Public service-like facilities, using service area methods in network analysis, such as kindergartens, primary schools, community medical service centers, and the like.
After calculating the coverage of each community, following the target value and asking the expert for comments, a dimensionless standard value is calculated, ranging from 0 to 1, and the dimensionless standard value of each facility is obtained. Then, the weight corresponding to each second-level index is obtained by adopting an intelligent weight analysis method, the weight in the aspects of traffic convenience, high-quality life quality and the like is calculated by using a hierarchical analysis method, and finally, the comfort level of each community (namely, the calculation result of the standard value of the third-level index) is calculated. The target layer is the comfort level of the community, the criterion layer is five aspects of traffic convenience, high quality life quality, educational facility service level, medical and health service level and land utilization efficiency, and the scheme layer is the facility coverage rate of each aspect. When determining the weights among the factors of each level, a consistent matrix method is used, every two factors are compared with each other, and in the process, the expert opinion is continuously inquired. And performing hierarchical single sequencing and consistency inspection. And finally, performing hierarchical total sequencing and consistency inspection. And finally obtaining the index theoretical weight value of each aspect. And comparing the theoretical weight value with the weight value judged by the expert to finally obtain the weight value of each index, and calculating the livability degree of different aspects of livability of each community and the total livability comfort of each community.
While the applicant has described and illustrated the embodiments of the present application in detail with reference to the drawings, it should be understood by those skilled in the art that the above embodiments are only preferred embodiments of the present application, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present application, and not to limit the scope of the present application, but any improvements or modifications based on the spirit of the present application should fall within the scope of the present application.
Claims (2)
1. Urban physical examination evaluation system based on sustainable development concept is characterized by comprising
Comprising the following steps: the system comprises an index setting module, a data acquisition module, a data storage module, a standard value setting module, a data processing and calculating module and a city physical examination evaluation display module;
the data acquisition module is respectively connected with the data storage module and the index setting module, the data storage module is connected with the index setting module, the data storage module, the index setting module and the standard value setting module are respectively connected with the data processing and calculating module, and the data processing and calculating module is connected with the urban physical examination evaluation display module;
the index setting module is used for setting a calculation formula corresponding to the first-level index, the second-level index, the third-level index and the second-level index; the first-level index is basic data which can be directly acquired, and comprises the following steps: the area of the built-up area of the urban district, the rent of the unit area, the income of the month average, the number of historical building cards and the number of historical buildings, and the data sources of the basic data comprise: remote sensing image data, vector coverage data, point location information data, road network data, three-dimensional live-action data, natural resource data, building bureau data, garden and sanitation data, wei Jian commission service data, statistics bureau data, ecological environment data, travel culture bureau data, education bureau data, traffic bureau data, navigation information data, network public opinion data, mobile phone signaling data, LBS data, POI data and Internet of things data; the second-level index is an indirect data index which can be obtained only through basic data calculation, the third-level index comprises a plurality of application indexes, and the application indexes comprise one or more indirect data indexes;
the data acquisition module is used for acquiring corresponding data according to the first-level index set by the index setting module, setting an API data interface for the data source to acquire original data, and carrying out analysis, extraction and cleaning treatment;
the data storage module is used for storing the first-level index, the second-level index and the third-level index and all corresponding data; the storage mode of the basic data adopts a classified index mode, the remote sensing image data, the vector coverage data, the point location information data, the road network data and the three-dimensional live-action data are stored in a basic space database, the natural resource data, the building construction data, the garden and sanitation data, the Wei Jian commission service data, the statistical office data, the ecological environment data, the travel culture office data and the education office data are stored in a professional service database, and the navigation information data, the network public opinion data, the mobile phone signaling data, the LBS data, the POI data and the Internet of things data are stored in a social behavior perception database;
calculating dimensionless standard values of the secondary indexes, wherein the range of the dimensionless standard values is from 0 to 1;
the secondary index is divided into the following three categories: the target value of the first class is a range, and the index is defined as a range index; the second class has a target value of 100%, or the larger the target value is, the better the target value is, and the class index is defined as a forward index; the third class, the smaller the target value, the better, defines the index as the reverse index;
the standard value setting module is used for setting one or more city physical examination standard value calculation formulas; wherein, city physical examination standard value formula includes: if the second level index belongs to a range index with a target value of one range, the standard value is calculated as follows:
if the second-level index belongs to a better forward index with a larger target value, the standard value is calculated according to the following formula:
if the second-level index belongs to a reverse index with a smaller target value and a better target value, the standard value is calculated according to the following formula:
；
the data processing and calculating module is used for converting the second-level index into a standard value according to the corresponding data acquired by the first-level index and the standard value calculation formula of the urban physical examination, setting or calculating to obtain a corresponding weight of the second-level index, and carrying out weighted summation on the second index to obtain a calculation result of the third-level index, namely the urban physical examination result; the setting or calculating the second-level index corresponding weight value to obtain the second-level index corresponding weight value by adopting an intelligent weight analysis method comprises the following steps: comparing the factors with each other by using a consistent matrix method, performing hierarchical single sequencing and consistency check, and finally performing hierarchical total sequencing and consistency check to finally obtain index theoretical weight values of each aspect, and comparing the theoretical weight values with weight values judged by an expert to finally obtain the weight values of each index;
the city physical examination evaluation display module is used for displaying the city physical examination result in a graphical mode, and comprises the following steps: index overview, ecological livability, urban features, traffic convenience, living comfort, multi-source containment, safety toughness, urban vitality, dynamic monitoring, regional coordination, social satisfaction, case libraries, system setting and management.
2. The city experience assessment method based on the sustainable discovery idea is characterized by comprising the following steps of:
setting a calculation formula corresponding to the first-level index, the second-level index, the third-level index and the second-level index; the first-level index is basic data which can be directly acquired, and comprises the following steps: the area of the built-up area of the urban district, the rent of the unit area, the income of the month average, the number of historical building cards and the number of historical buildings, and the data sources of the basic data comprise: remote sensing image data, vector coverage data, point location information data, road network data, three-dimensional live-action data, natural resource data, building bureau data, garden and sanitation data, wei Jian commission service data, statistics bureau data, ecological environment data, travel culture bureau data, education bureau data, traffic bureau data, navigation information data, network public opinion data, mobile phone signaling data, LBS data, POI data and Internet of things data; the second-level index is an indirect data index which can be obtained only through basic data calculation, the third-level index comprises a plurality of application indexes, and the application indexes comprise one or more indirect data indexes;
corresponding data are collected according to the first-level index; corresponding data are collected according to the first-level index set by the index setting module, an API data interface is set for the data source to obtain original data, and the original data are subjected to analysis, extraction and cleaning;
calculating dimensionless standard values of the secondary indexes, wherein the range of the dimensionless standard values is from 0 to 1;
the secondary index is divided into the following three categories: the target value of the first class is a range, and the index is defined as a range index; the second class has a target value of 100%, or the larger the target value is, the better the target value is, and the class index is defined as a forward index; the third class, the smaller the target value, the better, defines the index as the reverse index;
setting one or more city physical examination standard value calculation formulas; wherein, city physical examination standard value formula includes: if the second level index belongs to a range index with a target value of one range, the standard value is calculated as follows:
if the second-level index belongs to a better forward index with a larger target value, the standard value is calculated according to the following formula:
if the second-level index belongs to a reverse index with a smaller target value and a better target value, the standard value is calculated according to the following formula:
；
converting the second-level index into a standard value according to the standard value calculation formula of the urban physical examination according to the corresponding data acquired by the first-level index, setting or calculating to obtain a weight corresponding to the second-level index, and carrying out weighted summation on the second index to obtain a calculation result of a third-level index, namely the urban physical examination result; the setting or calculating the second-level index corresponding weight value to obtain the second-level index corresponding weight value by adopting an intelligent weight analysis method comprises the following steps: comparing the factors with each other by using a consistent matrix method, performing hierarchical single sequencing and consistency check, and finally performing hierarchical total sequencing and consistency check to finally obtain index theoretical weight values of each aspect, and comparing the theoretical weight values with weight values judged by an expert to finally obtain the weight values of each index;
storing the first-level index, the second-level index, the third-level index and all corresponding data; the storage mode of the basic data adopts a classified index mode, the remote sensing image data, the vector coverage data, the point location information data, the road network data and the three-dimensional live-action data are stored in a basic space database, the natural resource data, the building construction data, the garden and sanitation data, the Wei Jian commission service data, the statistical office data, the ecological environment data, the travel culture office data and the education office data are stored in a professional service database, and the navigation information data, the network public opinion data, the mobile phone signaling data, the LBS data, the POI data and the Internet of things data are stored in a social behavior perception database;
displaying the city physical examination result in a graphical mode, wherein the method comprises the following steps: index overview, ecological livability, urban features, traffic convenience, living comfort, multi-source containment, safety toughness, urban vitality, dynamic monitoring, regional coordination, social satisfaction, case libraries, system setting and management.
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