{"title":"基于灰色关联和熵权模型的城市收缩分析","authors":"T. Yan, Long Ma","doi":"10.1117/12.2678959","DOIUrl":null,"url":null,"abstract":"Liaoning Province, as a national traditional heavy industry area, contains 30 cities facing varying degrees of urban contraction. We classify these 30 cities by K-means clustering analysis. Then, the grey correlation model is established. By solving the grey correlation coefficient between the economic and social indicators and the total population of shrinking cities, the factors affecting the shrinking urban population are obtained. Finally, we establish a comprehensive evaluation system of shrinking cities with population, indicators and GDP as evaluation indicators. The entropy weight method model is established to determine the weight of each evaluation index in order to obtain the contraction comprehensive index of each city. The change rate of the comprehensive index of each city is calculated respectively, and then the development and evolution trend of each shrinking city is analyzed.","PeriodicalId":301595,"journal":{"name":"Conference on Pure, Applied, and Computational Mathematics","volume":"178 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of urban contraction based on grey correlation and entropy weight models\",\"authors\":\"T. Yan, Long Ma\",\"doi\":\"10.1117/12.2678959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Liaoning Province, as a national traditional heavy industry area, contains 30 cities facing varying degrees of urban contraction. We classify these 30 cities by K-means clustering analysis. Then, the grey correlation model is established. By solving the grey correlation coefficient between the economic and social indicators and the total population of shrinking cities, the factors affecting the shrinking urban population are obtained. Finally, we establish a comprehensive evaluation system of shrinking cities with population, indicators and GDP as evaluation indicators. The entropy weight method model is established to determine the weight of each evaluation index in order to obtain the contraction comprehensive index of each city. The change rate of the comprehensive index of each city is calculated respectively, and then the development and evolution trend of each shrinking city is analyzed.\",\"PeriodicalId\":301595,\"journal\":{\"name\":\"Conference on Pure, Applied, and Computational Mathematics\",\"volume\":\"178 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Pure, Applied, and Computational Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2678959\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Pure, Applied, and Computational Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2678959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of urban contraction based on grey correlation and entropy weight models
Liaoning Province, as a national traditional heavy industry area, contains 30 cities facing varying degrees of urban contraction. We classify these 30 cities by K-means clustering analysis. Then, the grey correlation model is established. By solving the grey correlation coefficient between the economic and social indicators and the total population of shrinking cities, the factors affecting the shrinking urban population are obtained. Finally, we establish a comprehensive evaluation system of shrinking cities with population, indicators and GDP as evaluation indicators. The entropy weight method model is established to determine the weight of each evaluation index in order to obtain the contraction comprehensive index of each city. The change rate of the comprehensive index of each city is calculated respectively, and then the development and evolution trend of each shrinking city is analyzed.
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