Exploring dynamic street vendors and pedestrians through the lens of static spatial configuration in Yuncheng, China

Ziwen Sun* (Lead Author), Iain Scott, Simon Bell, Yufeng Yang, Zichu Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Extensive studies have demonstrated the relationship between static street networks and dynamic pedestrian movement. Street vendors temporarily appear in a vibrant space, closely engaging with numerous pedestrians. Is street vending distribution related to street network configuration? And if so, in what ways? This study investigates the heterogeneous relationships between pedestrians, vendors and the urban and suburban places they inhabit in Yuncheng by contrasting two different types of pedestrian-driven maps. The vending distribution map was identified via semi-structured interviews with urban managers (n = 11) in 2017. The spatial network configuration was examined through space syntax segment angular analysis, containing Integration, Choice and Combined Centrality properties at macro-, meso- and micro-scales. By overlapping the distribution map to the syntactic maps in the Quantum Geographic Information System (QGIS) platform, our results show that street vending distribution is most related to the Choice property at the meso-scale. Using semi-structured interviews (n = 53) and observations at two specific sites, we further found relationships tend to be opposed in urban and suburban areas. The study provides an alternative approach to integrating quantitative and qualitative data, expanding the theoretical and empirical understanding of spatial configuration and urban street activities related to walking and vending. This understanding has the potential to contribute to the design of more liveable street spaces.
Original languageEnglish
Article number2065
Pages (from-to)1-17
Number of pages17
JournalRemote Sensing
Issue number9
Publication statusPublished - 26 Apr 2022

Keywords / Materials (for Non-textual outputs)

  • space syntax
  • spatial cores
  • everyday life
  • multiple scales
  • walking behaviour


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