ORIGINAL RESEARCH article
Front. Public Health
Sec. Environmental Health and Exposome
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1639263
This article is part of the Research TopicExtended Mind for the Design of Human EnvironmentView all 14 articles
A Coupled Model for Public Health Risk: Hazard and Urban Vulnerability in 18 Cities in Sichuan, China
Provisionally accepted
- 1School of Architecture, Southwest Jiaotong University, Chengdu, China
- 2Southwest Jiaotong University Chengdu Design Institute, Chengdu, China
- 3Sichuan Tourism University, Chengdu, China
- 4Sichuan Center for Disease Control and Prevention, Chengdu, China
- 5Chengdu Institute of Planning and Design, Chengdu, China
- 6Chengdu University of Technology State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
In the research and practice of disaster prevention/mitigation and urban resilience development, although existing studies have conducted multidimensional assessments of urban vulnerability to hazards and infectious disease risks, limitations persist-such as the lack of bidirectional coupling mechanism analysis and a disconnection from planning implementation. These constraints hinder the systematic governance of public health risks and the advancement of resilient city development.Method: This study selects 18 prefecture-level cities in Sichuan Province as case studies. By employing the entropy method and coupling coordination degree (CCD) model, we construct a 'hazard-vulnerability' risk coupling model to systematically analyze the coupling coordination mechanisms, identify key influencing factors, and propose optimization pathways.Results: 1) The coupling coordination degree (CCD) between infectious disease hazards and urban vulnerability in Sichuan Province remains at a relatively low level overall (mean=0.384). Specifically, Chengdu demonstrates a "low vulnerability-high hazard" characteristic (0.031), while Guangyuan and Panzhihua exhibit optimal coordination states (0.655 and 0.649 respectively). 2)The region generally follows the distribution pattern where lower CCD corresponds to higher risk levels. The coordinated development types show dispersed spatial distribution, whereas recession-maladjusted types are predominantly concentrated in the Chengdu Plain and southern Sichuan regions. 3)Among CCD subtypes, the "hazard-deficit" type emerges as the dominant pattern. 4)Economic-spatial-social-
Keywords: Public health emergencies, Risk Coupling Model, Infectious Disease Hazards, Urban vulnerability, Entropy method, Coupling coordination degree (CCD) model
Received: 01 Jun 2025; Accepted: 22 Aug 2025.
Copyright: © 2025 Liu, Jian, Yang, Mao, Cheng, Cui and LI. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: QIU Jian, School of Architecture, Southwest Jiaotong University, Chengdu, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.