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作者

Junchao Shan;Yaolin Liu;Xuesong Kong;Yanfang Liu;Yiheng Wang

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.146,Issue3

语言

英文

关键字

作者单位

Research Fellow, School of Resource and Environmental Science, Wuhan Univ., 129 Luoyu Rd., Wuhan, 430079 Hubei Province, P.R. China. ORCID: https://orcid.org/0000-0001-8128-5092. Email: [email protected];Professor, Key Laboratory of Geographic Information System, Ministry of Education, Wuhan Univ., 129 Luoyu Rd., Wuhan, 430079 Hubei Province, P.R. China (corresponding author). Email: [email protected];Associate Professor, School of Resource and Environmental Science, Wuhan Univ., 129 Luoyu Rd., Wuhan, 430079 Hubei Province, P.R. China. Email: [email protected];Professor, School of Resource and Environmental Science, Wuhan Univ., 129 Luoyu Rd., Wuhan, 430079 Hubei Province, P.R. China. Email: [email protected];Research Fellow, School of Resource and Environmental Science, Wuhan Univ., 129 Luoyu Rd., Wuhan, 430079 Hubei Province, P.R. China. Email: [email protected]

摘要

In the context of globalization, cities have undergone a polarization of growth and shrinkage. Urban shrinkage is typically measured by a decrease in population. However, city activity is usually ignored. Accordingly, this study measured city shrinkage in the middle reaches of the Yangtze River based on whether city activities and population shrank from 2000 to 2010. This study drew on the Cobb-Douglas production function using multiple big data [such as nighttime light (NTL) data, patent data, and land transaction data] to calculate a city activity index to examine city activity. The geographically weighted regression (GWR) model was applied to explore the influencing factors of city shrinkage. Results showed the following: (1) in the area of study, 14.87% of cities experienced population loss, considering the city activities, an increase in the latter accounted for 57.36% in depopulation cities; (2) urban shrinkage spatial pattern presented the feature of “overall growth, local shrinkage”; (3) in the urban shrinkage regression model, urban spatial expansion and the increase in secondary industry population were factors that aggravated urban shrinkage. The main influencing factors of city shrinkage in the regions are different and need to be studied in-depth and meticulously in combination with the local development situation. This study plays a vital role in characterizing city activities and identifying urban shrinkage while providing a reference for urban planning and policy setting.