Abstract
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.
Original language | English (US) |
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Pages (from-to) | 104-116 |
Number of pages | 13 |
Journal | Cities |
Volume | 77 |
DOIs | |
State | Published - Jul 2018 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Development
- Sociology and Political Science
- Urban Studies
- Tourism, Leisure and Hospitality Management
Keywords
- Check-in data
- Heterogeneity
- POI
- Shenzhen
- Spatio-temporal variation
- Vibrancy