CN115375175A - Urban operation sign evaluation method - Google Patents
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Abstract
The invention relates to a city operation sign evaluation method, which comprises the following steps: the method comprises the steps of (1) investigating city operation big data in each field, and establishing city operation index evaluation dimensionality; establishing a multi-level city operation evaluation index system based on the city operation index evaluation dimension; establishing a city operation sign index weight system based on a city operation evaluation index system; establishing an urban operation sign index evaluation standard according to urban operation index data of a selected city; and establishing an urban operation sign evaluation model and comprehensive rating. According to the urban operation sign evaluation method, a set of urban operation sign index system and index evaluation system based on top-level design is established, the urban operation sign index system comprises a plurality of urban operation index evaluation dimensions, the urban operation overall state can be aimed at, and the urban real-time operation state and the space-time distribution of each main body can be evaluated more timely, accurately and quantitatively in multiple dimensions through a dynamic urban sign monitoring system.
Description
Technical Field
The invention relates to the technical field of urban management, in particular to an urban operation sign evaluation method.
Background
A city is a large and complex system, and city infrastructure, people and management all affect the operation of a city. The problems faced by cities at present are: on one hand, the urban operation is developed rapidly due to the economic development and the technological progress, but urban diseases such as population expansion, traffic jam and the like are accompanied, and the urban operation faces multi-level problems and contradictions; on the other hand, the lack of timely, accurate and sufficient operation index data support in the urban operation process causes the relative delay of urban operation and management service, and brings huge challenges to urban development.
The safety and health and the operation development of the city not only need the general cooperation of each industry, but also need timely city operation index data, reflect the operation state of the city in real time, and simultaneously make accurate evaluation on the data so as to provide data support for the management and decision of the city.
At present, some city operation index data monitoring systems are established in the brain construction of smart cities or cities in Beijing, shanghai and Hangzhou, city operation signs gather big data of city operation, and through data analysis and processing, a city manager can know about city operation dynamics constantly, so that a real and effective basis is provided for city management, and timely, accurate, scientific and appropriate regulation and control are carried out on city operation, so that normal city operation is guaranteed.
However, the existing research on the technical indexes of the urban operation signs is biased to a single field, such as the traffic field, the ecological environment field, the urban operator environment field and the like, and the research on an index system aiming at the integral state of urban operation is lacked.
Disclosure of Invention
In view of the above, it is necessary to provide a city operation sign evaluation method for the overall state of city operation.
A method for urban operational sign evaluation, the method comprising:
the method comprises the steps of (1) investigating city operation big data in each field, and establishing city operation index evaluation dimensionality;
establishing a multilevel city operation evaluation index system based on the city operation index evaluation dimension;
establishing a city operation sign index weight system based on a city operation evaluation index system;
establishing an urban operation sign index evaluation standard according to urban operation index data of a selected city;
and establishing an urban operation sign evaluation model and comprehensive rating.
In one embodiment, the investigating of city operation big data in each field includes:
the method is used for investigating urban operation big data in the fields of urban infrastructure, urban traffic, public safety, ecological environment, macroscopic economy, social stability and common people service.
In one embodiment, the establishing an urban operation index evaluation dimension includes:
and establishing operation index evaluation dimensions of six cities, namely city safety, city traffic, city facilities, city toughness, city comfort and city vitality.
In one embodiment, the establishing a multi-level city operation evaluation index system based on the city operation index evaluation dimension includes:
the method comprises the steps of taking operation index evaluation dimensionality of six cities as first-level indexes, establishing a plurality of second-level indexes for each first-level index, and establishing a plurality of third-level indexes for each second-level index.
In one embodiment, the establishing a city operation sign index weighting system based on a city operation evaluation index system includes:
based on an urban operation evaluation index system, establishing an urban operation sign index hierarchical structure model by utilizing an analytic hierarchy process;
constructing a relative importance judgment matrix of the indexes;
carrying out hierarchical sequencing and calculating weight vectors;
and (5) carrying out consistency check on the matrix to enable the judgment matrix to meet the consistency requirement of the analytic hierarchy process.
In one embodiment, the establishing an urban operation sign index evaluation criterion according to the urban operation index data of the selected city includes:
selecting city operation index data of a typical city within 3 years, detecting noise data and outliers by adopting a DBSCAN algorithm, and removing the noise data and the outliers;
performing clustering analysis on the indexes by adopting a K-means + + algorithm, and dividing the index data into 3 sub-data sets by using parameters n _ clusters =3 and init = 'K-means + +';
selecting a middle sub data set, calculating data with a higher quantile of more than 75% of the middle data set by using a box separation algorithm, and then calculating data with a lower quantile of less than 25% for removing;
calculating the average value of the residual data as the target value of the index;
and establishing an evaluation model of the evaluation index by using an equal ratio scaling algorithm according to the target value.
In one embodiment, the calculation formula of the evaluation model for establishing the evaluation index by using the equal ratio scaling algorithm according to the target value is as follows:
in the formula: score min To index the theoretical minimum Score of the evaluation system, score max Score, the theoretical maximum Score of the index system min And Score max Can be dynamically updated along with the change of the index system, and the dynamic adaptability of the evaluation system is ensured.
In one embodiment, the establishing of the urban operation sign evaluation model and the comprehensive rating includes:
establishing a single evaluation model of urban operation signs;
establishing a dimensional evaluation model of urban operation signs;
establishing a comprehensive evaluation model of urban operation signs;
and establishing a comprehensive rating of the urban operation signs.
In one embodiment, the calculation formula for establishing the urban operation sign dimension evaluation model is as follows:
in the formula: s i Score representing a single index, D j Representing the weight of each dimension, D representing six dimensions of data evaluation, n j Number of indices, m, representing each dimension j Representing the index start number, [ omega ] representing the weight coefficient of each index, S D Representing a single dimension data quality evaluation score.
In one embodiment, the calculation formula for establishing the urban operation sign comprehensive evaluation model is as follows:
in the formula: s T Represents the total score of the running signs of the city, S i Represents the score of a single index, omega represents the weight of each index, and n represents the number of indexes.
According to the urban operation sign evaluation method, a set of urban operation sign index system and index evaluation system based on top-level design is established, the urban operation sign index system comprises a plurality of urban operation index evaluation dimensions, the urban real-time operation state and the space-time distribution of each main body can be evaluated more timely, accurately and quantitatively in multiple dimensions through a dynamic urban sign monitoring system aiming at the overall urban operation state, the urban operation dynamics is reflected through indexes, and a powerful support can be provided for daily management, operation monitoring and management decision optimization of cities by combining an index evaluation model.
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Fig. 1 is a step diagram of a city operation sign evaluation method according to an embodiment of the present application;
fig. 2 is a step diagram of a city operation sign evaluation method according to another embodiment of the present application;
fig. 3 is a model diagram of a hierarchical structure of a city operation sign evaluation system according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, in one embodiment, a method for evaluating urban operational signs includes the following steps:
and step S110, investigating city operation big data in each field, and establishing city operation index evaluation dimensionality. Specifically, according to city operation management elements, the operation big data of each field of the city is researched by taking the improvement of risk prevention and control capacity and the success of risk management work as starting points.
And step S120, establishing a multilevel urban operation evaluation index system based on the urban operation index evaluation dimension. Specifically, a multilevel urban operation sign evaluation index system is established based on an urban management theory, a literature review method and urban operation data analysis.
And S130, establishing a city operation sign index weight system based on the city operation evaluation index system. The method is used for dividing the importance among the urban operation sign indexes.
And step S140, establishing an urban operation sign index evaluation standard according to the urban operation index data of the selected city. The evaluation of the urban operation sign indexes calculated according to the urban operation index data is more standard.
And S150, establishing a city operation sign evaluation model and comprehensive rating. Therefore, the urban operation sign data is judged and evaluated, and the urban operation sign data is convenient to grade and divide.
According to the urban operation sign evaluation method, a set of urban operation sign index system and index evaluation system based on top-level design is established, the urban operation sign index system comprises a plurality of urban operation index evaluation dimensions, the urban real-time operation state and the space-time distribution of each main body can be evaluated more timely, accurately and quantitatively in multiple dimensions through a dynamic urban sign monitoring system aiming at the overall urban operation state, the urban operation dynamics is reflected through indexes, and a powerful support can be provided for daily management, operation monitoring and management decision optimization of cities by combining an index evaluation model.
As shown in fig. 2, in one embodiment, a method for evaluating urban operation signs includes the following steps:
step S210, the urban operation big data of the urban infrastructure, urban traffic, public safety, ecological environment, macro economy, social stability and common people service fields are investigated; and establishing operation index evaluation dimensions of six cities, namely city safety, city traffic, city facilities, city toughness, city comfort and city vitality.
Specifically, people are well-living and stable living at the head, and people, objects, movement and states are focused, so that six city operation index evaluation dimensions of city safety, city traffic, city facilities, city toughness, city comfort and city vitality are established.
Step S220, based on city management theory, literature review method and city operation big data analysis, a multilevel city operation sign evaluation index system is established, six city operation index evaluation dimensions are taken as first-level indexes, a plurality of second-level indexes are established for each first-level index, and a plurality of third-level indexes are established for each second-level index.
Specifically, the multilevel urban operation sign evaluation index system includes an urban operation index evaluation system of 6 primary indexes, 45 secondary indexes and 150 tertiary indexes, as shown in table 1:
TABLE 1 urban operation sign evaluation index system
And step S230, establishing an urban operation sign index hierarchical structure model by utilizing an analytic hierarchy process based on an urban operation evaluation index system.
Specifically, as shown in fig. 3, the hierarchical structure is divided into a target layer (an urban physical sign indicator evaluation target, denoted by T), a criterion layer (a constraint layer including evaluation elements, denoted by C), and a plan layer (various plans of evaluation results, etc., denoted by S).
In step S240, a relative importance judgment matrix of the index is constructed.
Specifically, the relative importance quantification judgment is carried out on the importance judgment result by referring to scales of 1-9: 1 indicates that the importance of the former is the same as that of the latter, 3 indicates that the former is slightly more important than the latter, 5 indicates that the former is significantly more important than the latter, 7 indicates that the former is significantly more important than the latter, 9 indicates that the former is extremely more important than the latter, and 2, 4, 6, and 8 indicate intermediate values of the above-mentioned adjacent judgments, indicating a transition between the importance. Factor a in criterion layer T n The nth three-level index, factor a, in the urban operation sign evaluation index system i And factor a j The significance scale between is a ij Factor a j And factor a i Significance scale between
The relative importance degree between the selected evaluation indexes is scored by using a Delphi method, and each index in the same layer is compared in pairs by using 1-9 numbers to construct a comparison judgment matrix A.
Step S250, performing hierarchical sorting and calculating a weight vector.
Specifically, for each pairwise comparison matrix, the maximum feature root and the corresponding feature vector of the matrix are calculated by using a summation method. Each column vector of the pairwise comparison matrix a is normalized:
ω i normalization:
to obtain omega = (omega) 1 ,ω 2 ,…,ω n ) T Is an approximate feature vector;
calculating the maximum characteristic root of the discriminant matrix according to A omega = lambda omega:
and step S260, carrying out consistency check on the matrix to enable the judgment matrix to meet the consistency requirement of the analytic hierarchy process.
Specifically, first, the following are calculated:
according to the random consistency index I R Value calculation consistency ratio R C ：
Calculating to obtain R C Value, if R C <0.1, it is considered that the consistency of the matrix A is acceptable, i.e., the degree of inconsistency is within the allowable range. Finally, obtaining weight data omega of each index in the index system' i . If R is C More than or equal to 0.1, the consistency of the matrix A is considered to be unacceptable, and the consistency needs to be judged againAfter the Delphi method is used for adjusting the comparison judgment matrix A, the process is repeated until R C <0.1。
And step S270, selecting city operation index data of a typical city within 3 years, detecting noise data and outliers by adopting a DBSCAN algorithm, and removing the noise data and the outliers.
Step S280, performing clustering analysis on the indexes by adopting a K-means + + algorithm, and dividing the index data into 3 sub-data sets by using parameters n _ clusters =3 and init = 'K-means + +'.
And step S290, selecting the middle sub-data set, calculating the data with the higher than 75% of the quantiles of the middle data set by using a box separation algorithm, and then calculating the data with the lower than 25% of the quantiles to remove.
In step S2100, the average value is calculated for the remaining data as the target value of the index.
Step S2110, an evaluation model of the evaluation index is established by using an equal ratio scaling algorithm according to the target value.
Specifically, the calculation formula is:
in the formula: score min To index the theoretical minimum Score of the evaluation system, score max Score, the theoretical highest Score of the index system min And Score max Can be dynamically updated along with the change of the index system, and the dynamic adaptability of the evaluation system is ensured.
And S2120, establishing a single evaluation model of the urban operation signs.
Specifically, the five-level stereotype evaluation model is established for a single index as shown in table 2
TABLE 2 Single-item index rating model
Step S2130, establishing a dimension evaluation model of city operation signs.
Specifically, the calculation formula is as follows:
in the formula: s i Score representing a single index, D j Representing the weight of each dimension, D representing six dimensions of data evaluation, n j Number of indices, m, representing each dimension j Representing the index starting number. ω represents a weight coefficient of each index, S D Representing a single dimension data quality evaluation score.
Step S2140, a comprehensive evaluation model of urban operation signs is established.
Specifically, the calculation formula is as follows:
S T represents the total score of the running signs of the city, S i Represents the score of a single index, omega represents the weight of each index, and n represents the number of indexes.
And step S2150, establishing a comprehensive rating of the city running signs.
Specifically, the data quality state is divided into five levels according to the urban running sign comprehensive score and the CMMI five-level maturity model, and the detailed grading condition is shown in Table 3.
TABLE 3 City running sign comprehensive rating model
According to the urban operation sign evaluation method, a set of urban operation sign index system and index evaluation system based on top layer design is established, the urban operation sign index system comprises six dimensions of urban safety, urban toughness, urban facilities, urban traffic, urban comfort and urban vitality, the urban operation overall state can be evaluated in real time, accurately and quantitatively in multiple dimensions through a dynamic urban sign monitoring system, urban real-time operation state and main body space-time distribution can be evaluated in real time, urban operation dynamics are reflected through indexes, and powerful support can be provided for daily management, operation monitoring and management decision optimization of cities by combining with an index evaluation model.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A city operation sign evaluation method is characterized by comprising the following steps:
the method comprises the steps of (1) investigating city operation big data in each field, and establishing city operation index evaluation dimensionality;
establishing a multilevel city operation evaluation index system based on the city operation index evaluation dimension;
establishing a city operation sign index weight system based on a city operation evaluation index system;
establishing an urban operation sign index evaluation standard according to urban operation index data of a selected city;
and establishing an urban operation sign evaluation model and comprehensive rating.
2. The urban operation sign evaluation method according to claim 1, wherein the investigation of urban operation big data in each field comprises:
the method is used for investigating urban operation big data in the fields of urban infrastructure, urban traffic, public safety, ecological environment, macroscopic economy, social stability and common people service.
3. The urban operation sign evaluation method according to claim 2, wherein the establishing of the urban operation index evaluation dimension comprises:
and establishing operation index evaluation dimensions of six cities, namely city safety, city traffic, city facilities, city toughness, city comfort and city vitality.
4. The urban operation sign evaluation method according to claim 3, wherein the establishing of a multilevel urban operation evaluation index system based on the urban operation index evaluation dimension comprises:
the method comprises the steps of taking operation index evaluation dimensionality of six cities as first-level indexes, establishing a plurality of second-level indexes for each first-level index, and establishing a plurality of third-level indexes for each second-level index.
5. The urban operation sign evaluation method according to claim 4, wherein establishing an urban operation sign index weight system based on an urban operation evaluation index system comprises:
based on a city operation evaluation index system, establishing a city operation sign index hierarchical structure model by utilizing an analytic hierarchy process;
constructing a relative importance judgment matrix of the indexes;
carrying out hierarchical sequencing and calculating weight vectors;
and (5) carrying out consistency check on the matrix to enable the judgment matrix to meet the consistency requirement of the analytic hierarchy process.
6. The urban operation sign evaluation method according to claim 5, wherein the establishing of the urban operation sign index evaluation criterion according to the urban operation index data of the selected city comprises:
selecting city operation index data of a typical city within 3 years, detecting noise data and outliers by adopting a DBSCAN algorithm, and removing the noise data and the outliers;
performing clustering analysis on the indexes by adopting a K-means + + algorithm, and dividing the index data into 3 sub-data sets by using parameters n _ clusters =3 and init = 'K-means + +';
selecting a middle sub data set, calculating data with a higher quantile of more than 75% of the middle data set by using a box separation algorithm, and then calculating data with a lower quantile of less than 25% for rejection;
calculating a mean value for the remaining data as a target value for the indicator;
and establishing an evaluation model of the evaluation index by using an equal ratio scaling algorithm according to the target value.
7. The urban operational sign evaluation method according to claim 6, wherein the calculation formula of the evaluation model for establishing the evaluation index by using an equal-ratio scaling algorithm according to the target value is as follows:
in the formula: score min To index the theoretical minimum Score of the evaluation system, score max Score, the theoretical highest Score of the index system min And Score max Can be dynamically updated along with the change of the index system, and the dynamic adaptability of the evaluation system is ensured.
8. The urban operational sign evaluation method according to claim 7, wherein the establishing of the urban operational sign evaluation model and the comprehensive rating comprises:
establishing a single evaluation model of urban operation signs;
establishing a dimension evaluation model of urban operation signs;
establishing a comprehensive evaluation model of urban operation signs;
and establishing a comprehensive rating of the urban operation signs.
9. The urban operational sign evaluation method according to claim 8, wherein the calculation formula for establishing the urban operational sign dimension evaluation model is as follows:
in the formula: s i Score representing a single index, D j Representing the weight of each dimension, D representing six dimensions of data evaluation, n j Number of indices, m, representing each dimension j Representing the starting index number of the index, ω representing the weight coefficient of each index, S D Representing a single dimension data quality evaluation score.
10. The urban operational sign evaluation method according to claim 8, wherein the calculation formula for establishing the urban operational sign comprehensive evaluation model is as follows:
in the formula: s T Represents the total score of the running signs of the city, S i Represents the score of a single index, omega represents the weight of each index, and n represents the number of indexes.
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