Investigating Spatial-Temporal Change of Emergency Logistics System Vulnerability—Taking China as an Example

Bibliographic Data

ID22431595
AuthorsHongmei Shan (0000-0001-6429-9214, Xi’an University of Posts and Telecommunications, corresponding author), Jialu Shi (Xi’an University of Posts and Telecommunications), Yiyi An (Xi’an University of Posts and Telecommunications), Xinni Hu (Xi’an University of Posts and Telecommunications), Jing Shi (0000-0001-7156-8128, Xi’an University of Posts and Telecommunications)
Year2026
Volume17
Issue3
Pages529-547
Publication date2026-06-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Science (JOURNAL)
Journal identifiersISSN: 2095-0055 • E-ISSN: 2192-6395
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s13753-026-00737-7
OpenAlexW7162468720
LanguageEN
References cited58

Emergency logistics is an important safeguard to ensure the safety of human beings, properties, and economic activities under major disasters and emergencies. This study proposed a vulnerability assessment framework for emergency logistics systems (ELS) from three dimensions: exposure, sensitivity, and adaptability, in which the principal component analysis and comprehensive index evaluation methods are adopted. Furthermore, a geographically weighted regression model (GWR) was established to explore the driving mechanism of vulnerability change of ELS. By taking provincial-level data in the mainland of China from 2010 to 2022, this empirical study found that ELS vulnerability showed strong fluctuation, in which the overall trend was upward during 2010–2018, but downward during 2019–2022. Meanwhile, ELS vulnerability was generally low in southeast China and high in northwest China, and strength of this spatial clustering showed a fluctuating upward trend. Four driving factors affected the spatiotemporal change of vulnerability—ecological threat level mainly positively drove the change, while natural environment protection level, logistics transportation capacity, and logistics fixed asset investment were negatively correlated. This study provides management implications for improving regional emergency logistics systems according to their spatiotemporal variation and local conditions.

China · Empirical research · Mainland China · Natural disaster · Natural hazard · Vulnerability assessment · Facility Location and Emergency Management · Infrastructure Resilience and Vulnerability Analysis · Supply Chain Resilience and Risk Management

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