标题：Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China
作者： ChaoWu,XinyueYe,FuRen,QingyunDu
来源出版物：CITIES卷：77页码: 104-116 出版年： JUL 2018
摘要：Urban vibrancy describes the attraction, diversity and accessibility of a place and exhibits spatio-temporal variability. The relationships between urban vibrancy and land-use configurations are significant for governments, planners and residents. To date, it is challenging for traditional census datasets to support real-time analysis with detailed spatial and temporal granularity. This article takes advantage of emerging crowdsourcing data and adopts social media check-ins over a 24-h period as a proxy for urban vibrancy. A framework that incorporates kernel density estimation (KDE), geographically and temporally weighted regression (GTWR) and the Herfindahl-Hirschman index (HHI) is proposed to explore the spatio-temporal distribution characteristics of vibrancy and the spatio-temporal relationships with the influential factors. The results show that the evolution of vibrancy is influenced by various factors that are heterogeneous over space and time. With a new perspective and deeper understanding of the varying spatio-temporal relationships between vibrancy and point of interest (POI)-based configurations, this study can offers meaningful implications for policy makers and planners regarding the improvement of resource utilization and the rational design of neighbourhoods.
文献类型：Article
语种：English
作者关键词：VibrancySpatio-temporal variationHeterogeneityCheck-in dataPOIShenzhen
通讯作者地址：QingyunDu;School of Resources and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
电子邮件地址：qydu@whu.edu.cn
地址：
[ChaoWu, FuRen,QingyunDu]School of Resources and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
[FuRen,QingyunDu]Key Laboratory of GIS, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
[FuRen,QingyunDu]Key Laboratory of Digital Mapping and Land Information Application Engineering, National Administration of Surveying, Mapping and Geoinformation, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
[QingyunDu]Collaborative Innovation Center Of Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
[XinyueYe]Department of Geography, Kent State University, Kent, OH 44242, United States
影响因子：2.449
全文链接：https://doi.org/10.1016/j.cities.2018.01.017
