Research on the Spatial and Temporal Dynamics of Crowd Activities in Commercial Streets and Their Relationship with Formats—A Case Study of Lao Men Dong Commercial Street in Nanjing

Xinyu Hu (), Yifan Ren, Ying Tan and Yi Shi
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Xinyu Hu: Department of Urban Planning, College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
Yifan Ren: Department of Urban Planning, College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
Ying Tan: Department of Urban Planning, School of Architecture, Southeast University, Nanjing 210096, China
Yi Shi: Department of Urban Planning, School of Architecture, Southeast University, Nanjing 210096, China

Sustainability, 2023, vol. 15, issue 24, 1-23

Abstract: Crowd activity is an important indicator of commercial streets’ attractiveness and developmental potential. The development of positioning technologies such as GPS and mobile signal tracking has provided a large amount of trajectory data for studying crowd activities on commercial streets. These data can not only be used for the statistics, extraction, and visualization of crowd information, but they also facilitate the exploration of deeper insights into dynamic behaviors, choices, trajectories, and other details of crowd activities. Based on this, this article proposes a new framework for analyzing crowd activities to explore the spatial activity patterns of crowds and understand the dynamic spatial needs of people by analyzing their correlations with local formats. Specifically, we analyze the spatial activity characteristics of a crowd in the Lao Men Dong Commercial Street area by identifying the stay points and trajectory clusters of the crowd, and we establish a regression analysis model by selecting commercial street format variables to evaluate their impact on crowd activities. Through case analysis of the Lao Men Dong Commercial Street, this study confirms that our method is feasible and suitable for spatial research at different scales, thereby providing relevant ideas for format location selection, spatial layout, and other planning types, and for promoting the sustainable development of urban spaces.

Keywords: commercial street formats; analysis of crowd activity characteristics; stay behaviors; crowd trajectory cluster; CAE; Wi-Fi probes (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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