太阳成8722(中国)有限公司-GREEN NO.1

标题：Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices

作者： Wu Chao, Ren Fu, Hu Wei, Du Qingyun

来源出版物：International Journal of Geographical Information Science 卷：33 DOI：10.1080/13658816.2018.1545158  出版年：28 Nov 2018

摘要：Understanding scale effects is important and indispensable for geography studies. However, spatial and spatiotemporal statistical tools for measuring the operational scales of different processes are rather limited. This article extends the popular geographically and temporally weighted regression (GTWR) model to consider operational scale effects by proposing multiscale GTWR (MGTWR), which offers a flexible and scalable framework for identifying and analysing multiscale processes by specifying flexible bandwidths for various covariates. Then, MGTWR is employed to explore spatiotemporal variations and how influential factors are associated with housing prices in Shenzhen. This article attempts to extend GTWR to MGTWR in consideration of scale effects, thereby highlighting the importance of different levels of spatiotemporal heterogeneity. Furthermore, the empirical results of this study can provide valuable policy implications for real estate development in areas where urban planning should address multiscale effects in both temporal and spatial dimensions.

文献类型：Article

语种：English

作者关键词： Multiscale, bandwidth, GTWR, housing prices, urban planning

通讯作者地址：Du Qingyun;

电子邮件地址：qydu@whu.edu.cn

地址：

[Wu Chao]School of Geographic and Bioogic Information,Nanjing University of Posts and Telecommunications,Nanjing,China;Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province,Nanjing University of Posts and Telecommunications,Nanjing,China;School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

[Hu Wei]School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

[Ren Fu; Qingyun Du] School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China ; Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China ;Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geo-information, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

影响因子：2.370