CN109615243A - A kind of novel level of urbanization evaluation method based on improved entropy method - Google Patents
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Abstract
The present invention provides a kind of novel level of urbanization evaluation method based on improved entropy method, is related to novel Urbanization Progress assessment of levels technical field.This method constructs novel level of urbanization assessment indicator system first, and obtains the evaluation index data in each year to be evaluated being related in novel level of urbanization assessment indicator system；Specific gravity, entropy, coefficient of variation and the weight coefficient of the jth item index in each year to be evaluated are calculated, and then calculates the comprehensive score in each year to be evaluated, realizes the evaluation to the novel level of urbanization in year to be evaluated.Novel level of urbanization evaluation method provided by the invention based on improved entropy method, increases the information content of corresponding index, reduces entropy；Improved entropy is evaluated applied to the novel level of urbanization, solves the problems, such as that index weights differ greatly, this method calculating process is succinct, improves reasonability, the accuracy of evaluation result.
Description
Technical Field
The invention relates to the technical field of novel urbanization development level evaluation, in particular to a novel urbanization level evaluation method based on an improved entropy method.
Background
The novel urbanization is a new idea of a urbanization mode, is an artificially-core urbanization, is mainly characterized by urban and rural integration, conservation and integration, greenness, low carbon and ecological livable living, is a novel industrial, informatization and agricultural modernized base stone, and plays a vital role in modern development.
At present, the novel urbanization becomes an important mark for measuring the development level of a city, the whole society pays close attention to the development level of the novel urbanization, the problems existing in the novel urbanization construction can be found, and the target of the novel urbanization construction can be better completed.
At present, methods for comprehensively evaluating the novel urbanization mainly comprise an analytic hierarchy process, a relative entropy process and the like, however, the analytic hierarchy process is greatly influenced by subjective factors, and when the number of elements in each layer is large, difficulty is brought to comparison and judgment of every two elements; the relative entropy method is to use an analytic hierarchy process and an entropy method to weight indexes, and has a complex process and strong subjectivity.
When the novel urbanization level evaluation is carried out by the original entropy method, the calculated weight difference of each index is possibly large, the weights of some indexes are very small, and the other weights are very large and obviously not consistent with the actual situation.
Disclosure of Invention
The invention aims to solve the technical problem of providing a novel urbanization level evaluation method based on an improved entropy method to realize the evaluation of novel urbanization levels aiming at the defects of the prior art.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a novel urbanization level evaluation method based on an improved entropy method comprises the following steps:
step 1, constructing a novel urbanization level evaluation index system;
the novel urbanization level evaluation index system comprises 5 first-level indexes and 21 second-level indexes; the 5 first-level indexes are respectively as follows: population urbanization level, basic public service level, infrastructure level, ecological environment level, and economic development level; the 21 secondary indexes are respectively as follows: the population urbanization level comprises the urbanization rate of the standing population and the urbanization rate of the household registers; the basic public service level comprises the number of sanitary technicians owned by every ten thousand people in cities and towns, the number of medical institution beds owned by every ten thousand people in cities and towns, the endowment insurance coverage rate of the frequent population in cities and towns, the basic medical insurance coverage rate of the frequent population in cities and towns, the number of students in colleges and universities, and the number of books owned by the frequent population in cities and towns; the infrastructure level comprises the urban public water supply popularization rate, the urban gas popularization rate, the urban resident per-capita road area and the urban public transport vehicles owned by every ten thousand; the ecological environment level comprises the greenbelt rate of an urban built-up area, the discharge amount of industrial SO2, the proportion of more than two days of urban environment air quality, the urban sewage treatment rate and the harmless treatment rate of urban domestic garbage; the economic development level comprises average human GDP, average general public budget income, third industry output value proportion and urban and rural resident average income ratio, wherein except that the industrial SO2 emission is a negative index, the other indexes are positive indexes;
step 2, acquiring secondary evaluation index data of each year to be evaluated, which is related to the novel urbanization level evaluation index system, according to the constructed novel urbanization level evaluation index system;
step 3, calculating j index x of each to-be-evaluated yearijSpecific gravity p ofijThe following formula shows:
wherein p isijThe index is the specific gravity of the j index in the ith year, i is 1, 2, the., m, j is 1, 2, theTotal number of indices in index system, max (x)j) The maximum value of the j index;
step 4, calculating the entropy e of the jth indexjThe following formula shows:
wherein,
step 5, calculating the difference coefficient g of the j indexjAs shown in the following formula
gj＝1-ej(3)
Step 6, calculating the weight coefficient W of the jth indexjAs shown in the following formula
And 7, calculating the comprehensive score of each year to be evaluated, wherein the formula is as follows:
wherein, ViThe comprehensive score of the ith year;
the higher the comprehensive score of the year to be evaluated, the better the new urbanization level of the year.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: the invention provides a novel urbanization level evaluation method based on an improved entropy method, which adopts a formula (1) to calculate the proportion of the jth index in the ith year, increases the information quantity of corresponding indexes and reduces the entropy value. The improved entropy method is applied to novel urbanization level evaluation, the problem of large index weight difference is solved, the calculation process of the method is simple, and the rationality and the accuracy of the evaluation result are improved.
Drawings
Fig. 1 is a flowchart of a novel urbanization level evaluation method based on an improved entropy method according to an embodiment of the present invention;
fig. 2 is a comparison graph of evaluation index weights calculated by the improved entropy method and the original entropy method according to the present invention;
fig. 3 is a comparison graph of the evaluation result of the new urbanization level calculated by using the improved entropy method and the original entropy method of the present invention according to the embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In this embodiment, for example, the urban data of a certain city 2014-2017 year is used, and the novel urbanization level evaluation method based on the improved entropy method of the present invention is used to evaluate the novel urbanization level of the city 2014-2017 year.
A novel urbanization level evaluation method based on an improved entropy method is shown in figure 1 and comprises the following steps:
step 1, constructing a novel urbanization level evaluation index system;
in the process of constructing the novel urbanization level evaluation index system, the research results of predecessors are integrated, the availability of data is considered, the novel urbanization level evaluation index system is constructed, the index system comprises 5 first-level indexes and 21 second-level indexes, each index is shown in table 1, and except that the emission of industrial SO2 is a negative index, all the other indexes are positive indexes:
TABLE 1 novel urbanization level evaluation index system
Step 2, acquiring secondary evaluation index data of each year to be evaluated, which is related to the novel urbanization level evaluation index system, according to the constructed novel urbanization level evaluation index system;
in this embodiment, the data related to the novel urbanization level evaluation index system of the city mainly comes from the national economy and social development statistical bulletin of the city in 2014-2017, and each secondary evaluation index data is shown in table 2:
TABLE 2 novel Town level evaluation index data
Step 3, calculating j index x of each to-be-evaluated yearijSpecific gravity p ofijThe following formula shows:
wherein p isijIs the specific gravity of the j index of the ith year,1, 2, m, j, 1, 2, 1, n, m is the total number of years to be evaluated, n is the total number of indexes in the novel urbanization level evaluation index system, and max (x)j) The maximum value of the j index;
in this embodiment, an improved entropy method and an original entropy method are adopted to evaluate the new urbanization level of funxin cities in 2014-2017, and weights of all evaluation indexes are obtained through calculation, as shown in fig. 2, the weights of all evaluation indexes obtained through the improved entropy method are relatively balanced, wherein the urban public water supply popularity rate, the urban domestic garbage harmless treatment rate, the urbanization rate of the everlasting population, the average income ratio of urban and rural residents, the urbanization rate of household registers and the like are slightly larger, and the average public budget income weight of everyone is the smallest; the weight difference of each index calculated by the original entropy method is large, the index weights such as the urbanization rate of the permanent population, the popularization rate of urban public water supply throughout the year, the harmless treatment rate of urban domestic garbage and the like are very small, the weights of the indexes such as the per-capita road area of urban residents, the urban sewage treatment rate, the per-capita general public budget income and the like are very large, and the calculation result is inconsistent with the actual situation.
Step 4, calculating the entropy e of the jth indexjThe following formula shows:
wherein,
step 5, calculating the difference coefficient g of the j indexjAs shown in the following formula
gj＝1-ej(3)
Step 6, calculating the weight coefficient W of the jth indexjAs shown in the following formula
And 7, calculating the comprehensive score of each year to be evaluated, wherein the formula is as follows:
wherein, ViThe comprehensive score of the ith year;
the higher the comprehensive score of the year to be evaluated, the better the new urbanization level of the year.
In this embodiment, the new urbanization level evaluation result calculated by using the improved entropy method and the original entropy method of the present invention is shown in fig. 3, where the evaluation results in 2014 to 2017 are respectively: 0.8958, 0.9498, 0.9540 and 0.9520 show that the urban novel urban construction is overall smooth, the urban novel urban construction is slowed down in 2017 compared with 2016, and the analysis reasons are mainly caused by the reduction of the number of students in colleges and universities and the reduction of the green area of the built-up area.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions and scope of the present invention as defined in the appended claims.
Claims (2)
1. A novel urbanization level evaluation method based on an improved entropy method is characterized by comprising the following steps: the method comprises the following steps:
step 1, constructing a novel urbanization level evaluation index system;
step 2, obtaining evaluation index data of each to-be-evaluated year related to the novel urbanization level evaluation index system according to the constructed novel urbanization level evaluation index system;
step 3, calculating j index x of each to-be-evaluated yearijSpecific gravity p ofijThe following formula shows:
wherein p isijThe index is the specific gravity of the j index in the ith year, i is 1, 2, thej) The maximum value of the j index;
step 4, calculating the entropy e of the jth indexjThe following formula shows:
wherein,
step 5, calculating the difference coefficient g of the j indexjAs shown in the following formula
gj＝1-ej(3)
Step 6, calculating the weight coefficient W of the jth indexjAs shown in the following formula
And 7, calculating the comprehensive score of each year to be evaluated, wherein the formula is as follows:
wherein, ViThe comprehensive score of the ith year;
the higher the comprehensive score of the year to be evaluated, the better the new urbanization level of the year.
2. The novel urbanization level evaluation method based on the improved entropy method according to claim 1, characterized in that: the novel urbanization level evaluation index system comprises 5 first-level indexes and 21 second-level indexes; the 5 first-level indexes are respectively as follows: population urbanization level, basic public service level, infrastructure level, ecological environment level, and economic development level; the 21 secondary indexes are respectively as follows: the population urbanization level comprises the urbanization rate of the standing population and the urbanization rate of the household registers; the basic public service level comprises the number of sanitary technicians owned by every ten thousand people in cities and towns, the number of medical institution beds owned by every ten thousand people in cities and towns, the endowment insurance coverage rate of the frequent population in cities and towns, the basic medical insurance coverage rate of the frequent population in cities and towns, the number of students in colleges and universities, and the number of books owned by the frequent population in cities and towns; the infrastructure level comprises the urban public water supply popularization rate, the urban gas popularization rate, the urban resident per-capita road area and the urban public transport vehicles owned by every ten thousand; the ecological environment level comprises the greenbelt rate of an urban built-up area, the discharge amount of industrial SO2, the proportion of more than two days of urban environment air quality, the urban sewage treatment rate and the harmless treatment rate of urban domestic garbage; the economic development level comprises average human GDP, average general public budget income, third industry output value proportion and urban and rural resident average income ratio, wherein except that the industrial SO2 emission is a negative index, the other indexes are positive indexes.
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| CN111191944A (en) * | 2020-01-02 | 2020-05-22 | 中国科学院地理科学与资源研究所 | County development activity evaluation method and problem county classification statistical method |
| CN113222384A (en) * | 2021-04-30 | 2021-08-06 | 桂林理工大学 | Town level analysis method based on improved entropy method |
| CN113762729A (en) * | 2021-08-16 | 2021-12-07 | 河海大学 | Comprehensive evaluation method for urban drainage system modification project |
| CN114118794A (en) * | 2021-11-25 | 2022-03-01 | 西南大学 | Ecological effect evaluation method after village and town construction land expansion |
| CN115905915A (en) * | 2022-10-24 | 2023-04-04 | 中国环境科学研究院 | Method and device for processing village and town classification, computer equipment and readable storage medium |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111191944A (en) * | 2020-01-02 | 2020-05-22 | 中国科学院地理科学与资源研究所 | County development activity evaluation method and problem county classification statistical method |
| CN113222384A (en) * | 2021-04-30 | 2021-08-06 | 桂林理工大学 | Town level analysis method based on improved entropy method |
| CN113762729A (en) * | 2021-08-16 | 2021-12-07 | 河海大学 | Comprehensive evaluation method for urban drainage system modification project |
| CN114118794A (en) * | 2021-11-25 | 2022-03-01 | 西南大学 | Ecological effect evaluation method after village and town construction land expansion |
| CN115905915A (en) * | 2022-10-24 | 2023-04-04 | 中国环境科学研究院 | Method and device for processing village and town classification, computer equipment and readable storage medium |
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