Determining the association of the built environment and socioeconomic attributes with urban shrinking in Yokohama City
Determining the association of the built environment and socioeconomic attributes with urban shrinking in Yokohama City
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DOI：
10.1016/j.cities.2021.103474
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发表时间：
2022-01-01
期刊：
影响因子：
6.7
通讯作者：
Yoshimura, Yuji
中科院分区：
文献类型：
--
作者：
Ma, Shuang;Kumakoshi, Yusuke;Yoshimura, Yuji
城市萎缩意味着人口密集的城市地区或城市正在经历重大的人口流失。目前的研究主要探讨了建成环境和社会经济属性与城市萎缩之间的关系，但忽略了局部效应。在这里，我们通过混合地理加权回归模型，在随机森林筛选变量后，显示了2014-2019年期间VIIRS夜间光辐射变化所反映的环境和社会经济属性与城市萎缩的空间异质性关联。我们发现，在2014-2019年期间，横滨有35公里（2）正在缩小，其中大部分是混合用途的土地。总体而言，公交车站密度（BSD）、道路交叉口密度（RID）、人口老龄化（PoAP）、房价（HP）、到最近公园的距离（DNP）、商业区比例（PoBA）以及私人住宅和公寓比例（PoH_ private）对城市萎缩的影响是混合的。此外，BSD，RID，POAP，DNP和PoH_private与城市萎缩的负或正相关，建议应考虑空间异质性策略来解决城市萎缩。我们希望我们的研究是一个起点，使用混合GWR模型在缩小的城市，并作为补充，在检查建成环境和社会经济属性和人口损失之间的关系。
Urban shrinking means a densely populated urban area or city where is experiencing a significant population loss. Currently studies have examined the relationship between built environment and socioeconomic attributes and urban shrinking, however ignore the local effects. Here, we show spatially heterogeneous associations of environment and socioeconomic attributes with urban shrinking reflected by the change of VIIRS night-time light radiance during the period 2014-2019 by mixed geographically weighted regression model, after variables screening by random forest.& nbsp;We found that during the period 2014-2019, there were 35 km(2) in Yokohama was shrinking, with most of them being mixed-use land. In general, bus stop density (BSD), road intersection density (RID), aging population (PoAP), housing price (HP), distance to the nearest park (DNP), proportion of business areas (PoBA), and proportion of private houses and flats (PoH_ private) have mixed effects on urban shrinking. Furthermore, BSD, RID, PoAP, DNP and PoH_private have negative or positive association with urban shrinking across locations, suggesting spatial heterogeneous strategies should be considered to address urban shrinking. We anticipate our study to be a start point to use mixed GWR model in shrinking city and as additions in examining the relationship between built environment and socioeconomic attributes and population loss.