标题: Revealing the formation mechanism of rural housing hollowing via considering the nonlinear effects of spatial factors and planning variables

作者: Luo, X (Luo, Xuan); Tong, ZM (Tong, Zhaomin); Liu, YF (Liu, Yanfang); Xiong, QQ (Xiong, Qiangqiang); Wu, ZH (Wu, Zihao); Chen, HT (Chen, Huiting)

来源出版物: APPLIED GEOGRAPHY 卷: 155 文献号: 102957 DOI: 10.1016/j.apgeog.2023.102957 提前访问日期: APR 2023 出版年: JUN 2023

摘要: Understanding the formation mechanism of rural housing hollowing (RHH) is an important prerequisite for implementing rural revitalization strategies. However, few studies have focused on the formation mechanism of RHH from the perspective of nonlinear effects. By taking 262 administrative villages in the Yuanzhou District of Jiangxi Province as study units, this study describes the spatial patterns of RHH and explores the formation mechanism of RHH based on nonlinear effects via gradient boosting decision tree (GBDT) and geospatial analysis methods. The main findings are as follows. (1) The RHH phenomenon was common, accounting for 75.57% of the villages, and more likely to occur in the rural areas adjacent to the urban areas. (2) The nonlinear effects of influencing factors on RHH in the formation mechanism were confirmed; furthermore, the push-pull model was extended to the push-pull-mooring model. (3) The spatial factors and planning variables played a pivotal role in the formation of RHH, with a total relative relevance of 12.3%, and the key threshold values could be used to support village renewal. These findings might help with decision making for rural hollowing governance initiatives and village planning development.

作者关键词: Rural housing hollowing; Nonlinear effect; Gradient boosting decision tree; Push -pull -mooring model

地址: [Luo, Xuan; Tong, Zhaomin; Liu, Yanfang; Xiong, Qiangqiang; Wu, Zihao; Chen, Huiting] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

通讯作者地址: Liu, YF (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址: yfliu610@whu.edu.cn

影响因子：4.732