Jaue2025-035 COVID-19 Pandemic and Urban Resilience: Analysis of Spatiotemporal Changes in Population-Facility Relationship Patterns within Urban Rail Transit Station Areas

Abstract

The COVID-19 pandemic posed systemic challenges to the "vitality-facility" spatial relationship in URT station areas. This study aims to explore the evolution of spatial clustering patterns and correlation intensity of "vitality-facility" in URT station areas before and after the pandemic.Taking 5 key stations of Xi'an Metro Line 2 as cases, it integrates Baidu heat data (2019, 2023) and AutoNavi POI data, using Anselin local spatial autocorrelation analysis. Results show that spatial clustering patterns of 10 facility types and population vitality changed significantly (over 40%) post-pandemic. Overall, LSCS declined, with transportation facilities (F10) dropping most (-1.098) in morning peaks. However, living service facilities (F06) saw increased LSCS in evening peaks (0.361), educational facilities (F04) recovered gradually, while entertainment (F01) and shopping (F05) facilities lagged. Facility resilience differed: daily service and educational facilities showed strong resilience, while entertainment and transportation facilities were vulnerable. Spatial restructuring featured "decentralization" and "communityization", with station functional positioning affecting resilience.This study reveals long-term impacts of public health emergencies on "vitality-facility" coupling, offering insights for urban resilience planning.