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作者

来源

CITIES,Vol.77,P.104-116

语言

英文

关键字

Vibrancy; Spatio-temporal variation; Heterogeneity; Check-in data; POI; Shenzhen; HOUSING PRICES; WEIGHTED REGRESSION; HUMAN DYNAMICS; LAND-USE; URBAN; ACCESSIBILITY; PATTERNS; TWITTER; MOBILE; INFORMATION

作者单位

[Wu, Chao; Ren, Fu; Du, Qingyun] Wuhan Univ, Sch Resources & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China. [Ren, Fu; Du, Qingyun] Wuhan Univ, Minist Educ, Key Lab GIS, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China. [Ren, Fu; Du, Qingyun] Wuhan Univ, Natl Adm Surveying Mapping & Geoinforrnat, Key Lab Digital Mapping & Land Informat Applicat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China. [Du, Qingyun] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China. [Ye, Xinyue] Kent State Univ, Dept Geog, Kent, OH 44242 USA. Du, QY (reprint author), Wuhan Univ, Sch Resources & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China. E-Mail: chaowu@whu.edu.cn; xye5@kent.edu; renfu@whu.edu.cn; qydu@whu.edu.cn

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.