Exploring the Influence of Urban Form on Urban Vibrancy in Shenzhen Based on Mobile Phone Data

Lingjun Tang, Yu Lin, Sijia Li, Sheng Li, Jingyi Li, Fu Ren and Chao Wu
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Lingjun Tang: Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518034, China
Yu Lin: Hubei Institute of Land Surveying and Mapping, 199 Aomen Road, Wuhan 430010, China
Sijia Li: School of Resources and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Sheng Li: Shenzhen Municipal Planning & Land Real Estate Information Centre, Shenzhen 518034, China
Jingyi Li: Shenzhen Municipal Planning & Land Real Estate Information Centre, Shenzhen 518034, China
Fu Ren: School of Resources and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Chao Wu: School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Sustainability, 2018, vol. 10, issue 12, 1-21

Abstract: Urban vibrancy is an important indicator of the attractiveness of a city and its potential for comprehensive, healthy and sustainable development in all aspects. With the development of big data, an increasing number of datasets can be used to analyse urban vibrancy on fine spatial and temporal scales from the perspective of human perception. In this study, we applied mobile phone data as a proxy for local vibrancy in Shenzhen and constructed a comprehensive framework for the factors that influence urban vibrancy, especially in terms of urban morphology and space syntax. In addition, the popular geographically and temporally weighted regression (GTWR) method was used to explore the spatiotemporal relationships between vibrancy and its influencing factors. The spatial and temporal coefficients are presented through maps. The conclusions of this attempt to study urban vibrancy with urban big data have significant implications for helping urban planners and policy makers optimize the spatial layouts of urban functional zones and perform high-quality city planning.

Keywords: urban vibrancy; mobile phone data; urban form; GTWR (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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