The Impact of Commercial-Industry Development of Urban Vitality: A Study on the Central Urban Area of Guangzhou Using Multisource Data

Lixin Liu, Yanjun Dong, Wei Lang (), Huiyu Yang and Bin Wang
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Lixin Liu: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Yanjun Dong: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Wei Lang: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Huiyu Yang: School of Urban Planning and Design, Peking University, Shenzhen 518055, China
Bin Wang: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China

Land, 2024, vol. 13, issue 2, 1-19

Abstract: Urban commercial centers play a critical role in the development of cities, and it is of significant relevance to research the influencing variables of the urban vitality of commercial centers to improve the quality of urban commercial centers. This study employs big data to construct a multiple linear regression model in order to uncover the spatial-distribution characteristics of urban vitality and commercial sectors in commercial centers within the primary urban region of Guangzhou. The findings indicate that the commercial sectors of life, business, finance, and leisure have a substantial influence on the fluctuation of pedestrian flow in commercial centers throughout the day. Conversely, public service commercial sectors do not have a significant impact on pedestrian flow. Furthermore, the effect of various commercial sectors on the vibrancy of urban commercial centers varies, and their performance differs on weekdays and holidays. Additionally, the level of integration among commercial sectors affects the vitality of the city’s commercial space. This research presents empirical facts that can be used to optimize the logical allocation of urban commercial resources in urban planning.

Keywords: central urban area; commercial industry; multiple logistic regression; multisource data; Guangzhou (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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