Proceedings of the 2025 6th International Conference on Big Data and Social Sciences (ICBDSS 2025)

Citizen Crisis Self-Efficacy: An SEM Analysis of Data from Three Chinese Communities

Authors
Mu Tan1, *, Chun Wang1
1Donghua University, Shanghai, 200051, China
*Corresponding author. Email: 13810647765@163.com
Corresponding Author
Mu Tan
Available Online 26 February 2026.
DOI
10.2991/978-94-6239-598-5_6How to use a DOI?
Keywords
Crisis Self-Efficacy; Vulnerability Coping Behavior; Community Resilience; Structural Equation Model
Abstract

21st-century witnesses urban cities being upset by various hazards, like contagious illness, economic fluctuation, and rare climate hazards, which urban cities suffer from an oblivion of their micro-level coping ability and resiliency. It is vital to explore their perceived efficacy of coping behavior after being tested by the pandemic. This research established a model to explore the relationship between vulnerability coping behaviors (VCB) and crisis self-efficacy (CSE), adding mediators community resilience (CR)and anticipation of extreme crisis (AEC). By random sampling from three urban cities, Beijing (207), Shanghai (220), and Wuhan (226) in June 2024, June structural equation model analysis shows that two mediations by CR and AEC are significant, but the chained mediation failed. The model also passes the cross-sample invariance test, ensuring its stability.

As an exploratory study, it contributes to the field of disaster resilience research as follows: (1)It expands the coping theory by developing a new construct, anticipation of extreme crisis, to surpass the common scenarios and develop a model to explain other antecedents of crisis coping efficacy. (2) Wuhan and Shanghai citizens derive lower crisis self-efficacy from their anticipation of extreme crises, and they bolster their crisis efficacy on community resilience. While Beijing citizens trust less in community resilience than themselves to cope. Besides, their crisis efficacy is more aligned with the anticipation of extreme crises.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 6th International Conference on Big Data and Social Sciences (ICBDSS 2025)
Series
Advances in Computer Science Research
Publication Date
26 February 2026
ISBN
978-94-6239-598-5
ISSN
2352-538X
DOI
10.2991/978-94-6239-598-5_6How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Mu Tan
AU  - Chun Wang
PY  - 2026
DA  - 2026/02/26
TI  - Citizen Crisis Self-Efficacy: An SEM Analysis of Data from Three Chinese Communities
BT  - Proceedings of the 2025 6th  International Conference on Big Data and Social Sciences (ICBDSS 2025)
PB  - Atlantis Press
SP  - 44
EP  - 57
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-598-5_6
DO  - 10.2991/978-94-6239-598-5_6
ID  - Tan2026
ER  -