Analysis on the evolution of the compactness of the highland cities in Yunnan Province

doi:10.14088/j.cnki.issn0439-8114.2022.14.010

Abstract

Abstract: Based on the five dimensions of population, economy, land use, transportation, and ecological environment, a comprehensive evaluation index system for urban compactness was constructed. Based on the entropy weight method and the gray correlation model, the sub-index and comprehensive index model of urban compactness were constructed to measure the compactness values of 16 prefectures and cities in Yunnan Province in 2008, 2013 and 2018 and analyzed its evolution. The results showed that the relationship between urban compactness and economic development level presented an inverted U-shaped curve. The overall level of urban compactnessin 16 prefectures and cities of Yunnan Province was relatively low, and the comprehensive level of urban compactness in most prefectures and cities was increasing, and the comprehensive level of urban compactness in some prefectures and cities did not change much, and the comprehensive level of urban compactness in a few prefectures and cities was decreasing gradually. The average compactness of population, economy, transportation and ecological environment in Yunnan Province increased to different degrees, while the compactness of land use decreased to a certain extent. The key factors restricting the level of urban compactness in Yunnan Province were economic compactness and land use compactness.

Key words: city compactness, sustainable development, sub-index, comprehensive index, Yunnan Province

CLC Number:

F299.27

CHEN Tao, ZHANG Yue, WANG Yu-ge, LI Zhi-ying. Analysis on the evolution of the compactness of the highland cities in Yunnan Province[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(14): 61-67.

References

[1] 黄永斌,董锁成,白永平,等.中国地级以上城市紧凑度时空演变特征研究[J].地理科学,2014,34(5):531-538.
[2] MORRISON N.The compact city: Theory versus practice—The case of Cambridge[J].Netherlands journal of housing and the built environment,1998,13:157-179.
[3] HAMIDI S,EWING R. A longitudinal study of changes in urban sprawl between2000 and 2010 in the United States[J].Land-scape and urban planning,2014(128):72-82.
[4] 荣培君,刘慧,吕连琴,等.基于进化树模型的河南省城市紧凑度综合评价[J].地域研究与开发,2019,38(3):48-53.
[5] 贾梦圆,刘晓阳,陈天,等.中国地级及以上城市紧凑度测度[J].城市问题,2019(11):4-12.
[6] 耿甜伟,毛雅倩,李九全,等.西安城市扩展时空特征及驱动机制[J].经济地理,2019,39(10):62-70.
[7] 周新刚,郎嵬.面向就业活动紧凑度的紧凑城市规划策略[J].城市规划学刊,2019(3):50-57.
[8] 李健,夏帅伟.中国特大城市紧凑度测度及多重效应相关分析[J].城市发展研究,2016,23(11):109-116.
[9] 郭将,岳文瑞.城市紧凑度与区域创新能力——以江苏省为例[J].技术经济,2020,39(8):51-58.
[10] 豆建民,陶志鹏,汪维.城市紧凑度对空气污染的影响机制[J].经济管理,2020,42(9):5-26.
[11] 蒋宇超,金晓斌,覃丽君,等.近六百年来城市建成区扩展过程与特征分析——以苏沪地区为例[J].城市规划,2019,43(12):55-68.
[12] 韩刚,袁家冬,张轩,等.紧凑城市空间结构对城市能耗的作用机制——基于江苏省的实证研究[J].地理科学,2019, 39(7):1147-1154.
[13] 孟祥凤,王冬艳,李红.老工业城市收缩与城市紧凑相关性研究——以吉林四平市为例[J].经济地理,2019,39(4):67-74.
[14] 吴冠岑,杨浩,崇丹.存在非期望产出的城市紧凑式发展效率测度与比较研究[J].中国软科学,2021(2):79-89.
[15] 郝伟伟,张梅青.交通改进、城市紧凑度与城市生产率关系实证研究——基于中国地级市空间面板数据计量分析[J].经济问题探索,2016(3):66-75.
[16] 刘润佳,把多勋.中国省会城市紧凑度与城镇化水平关系[J].自然资源学报,2020,35(3):586-600.
[17] WANG F,LI H.On the use of the maximum entropy method for reliability evaluation involving stochastic process modeling[J].Structural safety,2021,88(1):1-14.
[18] 刘云菲,李红梅,马宏阳.中国农垦农业现代化水平评价研究——基于熵值法与TOPSIS方法[J].农业经济问题,2021(2):107-116.
[19] 张卫枚,方勤敏,刘婷.基于灰色关联度的城市紧凑度评价——以环长株潭城市群为例[J].城市问题,2016(10):37-43.
[20] 金玉石. 基于灰色关联模型的省域技术创新能力测度[J].统计与决策,2019,35(4):59-62.