Yihao Chen, Shuai Zhang, Qingqing Ye, Weiqiang Chen, Yingchao Li, Enxiang Cai, Xuesong Kong, Long Guo, Jiwei Li
{"title":"基于改进的极坐标耦合模型的中国城市人口与土地时空耦合特征研究","authors":"Yihao Chen, Shuai Zhang, Qingqing Ye, Weiqiang Chen, Yingchao Li, Enxiang Cai, Xuesong Kong, Long Guo, Jiwei Li","doi":"10.3390/land13071101","DOIUrl":null,"url":null,"abstract":"Scientific quantitative measurement of the coupling relationship between urban population (UP) and urban land (UL) is conducive to promoting intensive land use, coordinated human–land development, and new urbanization development. This research proposed an improved coupling model of polar coordinates to study the spatiotemporal coupling characteristics between UP and UL at the prefecture-level city scale in China from 2010 to 2020. The study results include the following: (1) The growth rate of UL in China’s prefecture-level cities was higher than that of UP. The per capita urban land (PUL) was always within the ideal range, and the dynamic human–land coupling state remained reasonable. (2) The UP, UL, and dynamic human–land coupling rationality in China showed characteristics that were high in the east and low in the west. The PUL showed characteristics that were high in the northwest and low in the southeast. (3) This study divided China’s prefecture-level cities into four regions according to the coupling characteristics and formulated regionally differentiated optimization strategies. In summary, this study carried out a more scientific and reasonable quantitative measurement of the coupling relationship between UP and UL in China, resulting in a more reliable and targeted formulation of optimization strategies.","PeriodicalId":508186,"journal":{"name":"Land","volume":"99 31","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Spatiotemporal Coupling Characteristics between Urban Population and Land in China Based on the Improved Coupling Model of Polar Coordinates\",\"authors\":\"Yihao Chen, Shuai Zhang, Qingqing Ye, Weiqiang Chen, Yingchao Li, Enxiang Cai, Xuesong Kong, Long Guo, Jiwei Li\",\"doi\":\"10.3390/land13071101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scientific quantitative measurement of the coupling relationship between urban population (UP) and urban land (UL) is conducive to promoting intensive land use, coordinated human–land development, and new urbanization development. This research proposed an improved coupling model of polar coordinates to study the spatiotemporal coupling characteristics between UP and UL at the prefecture-level city scale in China from 2010 to 2020. The study results include the following: (1) The growth rate of UL in China’s prefecture-level cities was higher than that of UP. The per capita urban land (PUL) was always within the ideal range, and the dynamic human–land coupling state remained reasonable. (2) The UP, UL, and dynamic human–land coupling rationality in China showed characteristics that were high in the east and low in the west. The PUL showed characteristics that were high in the northwest and low in the southeast. (3) This study divided China’s prefecture-level cities into four regions according to the coupling characteristics and formulated regionally differentiated optimization strategies. In summary, this study carried out a more scientific and reasonable quantitative measurement of the coupling relationship between UP and UL in China, resulting in a more reliable and targeted formulation of optimization strategies.\",\"PeriodicalId\":508186,\"journal\":{\"name\":\"Land\",\"volume\":\"99 31\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Land\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/land13071101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Land","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/land13071101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
科学定量测算城市人口(UP)与城市土地(UL)的耦合关系,有利于促进土地集约利用、人地协调发展和新型城镇化发展。本研究提出了一种改进的极坐标耦合模型,研究 2010-2020 年中国地级市尺度上城市人口与城市土地的时空耦合特征。研究结果如下(1)中国地级市 UL 增长率高于 UP 增长率。城市人均用地(PUL)始终处于理想范围内,人地耦合动态状态保持合理。(2)中国的城市人均用地(UP)、城市人均可支配用地(UL)和动态人地耦合合理性呈现出东高西低的特点。PUL呈现出西北高、东南低的特点。(3)本研究根据耦合特征将中国地级市划分为四个区域,并制定了区域差异化优化策略。综上所述,本研究对中国 UP 与 UL 的耦合关系进行了更加科学合理的定量测算,从而制定出更加可靠、更有针对性的优化策略。
Research on the Spatiotemporal Coupling Characteristics between Urban Population and Land in China Based on the Improved Coupling Model of Polar Coordinates
Scientific quantitative measurement of the coupling relationship between urban population (UP) and urban land (UL) is conducive to promoting intensive land use, coordinated human–land development, and new urbanization development. This research proposed an improved coupling model of polar coordinates to study the spatiotemporal coupling characteristics between UP and UL at the prefecture-level city scale in China from 2010 to 2020. The study results include the following: (1) The growth rate of UL in China’s prefecture-level cities was higher than that of UP. The per capita urban land (PUL) was always within the ideal range, and the dynamic human–land coupling state remained reasonable. (2) The UP, UL, and dynamic human–land coupling rationality in China showed characteristics that were high in the east and low in the west. The PUL showed characteristics that were high in the northwest and low in the southeast. (3) This study divided China’s prefecture-level cities into four regions according to the coupling characteristics and formulated regionally differentiated optimization strategies. In summary, this study carried out a more scientific and reasonable quantitative measurement of the coupling relationship between UP and UL in China, resulting in a more reliable and targeted formulation of optimization strategies.