A Statistical Study of the Pedestrian Distribution in a Commercial Wholesale Centre Based on the Traffic Spatial Structure

Author:

Zhou Weiqiang12ORCID,Guo Haoxu2ORCID,Hou Xiana3ORCID,Lai Wenbo2ORCID,Yao Lihao4ORCID

Affiliation:

1. School of Architecture and Urban Planning, Zhuhai College of Science and Technology, Zhuhai 519000, China

2. School of Architecture, South China University of Technology, Guangzhou 510641, China

3. College of Urban Construction Engineering, Guangzhou City Polytechmic, Guangzhou 510641, China

4. College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524000, China

Abstract

Designing reasonable commercial transportation space is of great significance to enhancing the overall value of commerce. This study takes the classic cases of three typical plans of commercial wholesale centres (CWCs) as the research object, uses space syntax to analyse the connectivity of the architecture of the traffic space, simulates the current situation of the pedestrian flow distribution through ArcGIS, and constructs a multiple regression model for the association between connectivity and pedestrian flow distribution. The results of this study show that for CWCs with a single business type and a focus on traffic efficiency, the distribution of the pedestrian flow is most affected by the main entrance and the vertical traffic distribution. For different types of planes, when the commercial traffic space has strong symmetry, its group relationship is more concise. While a uniform form is more conducive to achieving a balanced distribution of commercial traffic, the asymmetry of the plan layout helps to establish a psycho-spatial map for the visitors. In addition, the commercial value of the first floor is greatly influenced by the layout of the building entrance, and the commercial value of the second floor is greatly influenced by the location of the vertical transportation. In conclusion, when commercial building development planning is in the stage of traffic flow design, the use of space connectivity traffic data can assist in the selection of construction plans and predict the distribution of the economic value in CWCs.

Funder

The Guangdong Province General Universities Young Innovative Talent Project

The Zhuhai Philosophy and Social Science Planning Project

The Guangdong Philosophy and Social Sciences Planning Youth Project

The 2023 Guangdong Province undergraduate teaching quality and teaching reform project

Publisher

MDPI AG

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