Resilience-Oriented Study on Pedestrian Accessibility Between Subway Stations and Commercial Complexes in Cities

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Authors: Xinyu Wang, Changming Yu, Binzhuo Gou, Stephen Siu Yu Lau
Cited by: 1
References: 28

Abstract

Against the backdrop of global climate change, the rising frequency and intensity of extreme weather events pose severe challenges to urban transport and commercial systems. As a core capacity for managing uncertainty and risk, urban resilience requires infrastructure to resist shocks, recover rapidly, and adaptively evolve. From a resilience perspective, this study develops a comprehensive evaluation system for spatial accessibility between subway stations and commercial complexes, operationalized by 21 indicators across five dimensions: Connectivity, Redundancy, Robustness, Dynamic adaptability, and Comfort. Spatial accessibility is simulated and measured using sDNA spatial network analysis, while an in-depth questionnaire survey collects, feeds back, and validates users’ subjective perceptions. By constructing a dual evaluation model that integrates spatial configuration and behavioral psychology, we find that the integrated development of subway stations and commercial complexes can maintain stable functional performance and sustained vitality under complex urban conditions by optimizing connectivity, enhancing redundancy, and improving adaptability. This is manifested in the expansion of residents’ pedestrian networks and the spillover of social service functions. In parallel, underground spaces can be transformed into resilient infrastructure to enhance civil air defense performance and provide diversified evacuation routes. The findings offer theoretical support and practical guidance for the construction of resilient cities.

Fields of Study & Subjects

Underground infrastructure and sustainability Infrastructure Resilience and Vulnerability Analysis Evacuation and Crowd Dynamics

Publication details

Journal / source
Land
Publisher
MDPI AG
Volume
15
Issue
2
Pages
266–266
Publication date
5 February 2026
Language
EN