Using multi-stakeholder causal mapping to explore priorities for infrastructure resilience to flooding
Bibliographic Data
| ID | 22028232 |
|---|---|
| Authors | Maria Pregnolato (0000-0003-0796-9618, University of Bristol, corresponding author), C West (0000-0001-5687-9972), Charles P West (0000-0001-7283-0247, Mott MacDonald (United Kingdom)), Barry Evans (0000-0003-1316-2087, University of Exeter), Man-Yue Lam (0000-0001-7259-968X, Cardiff University), Albert Chen (0000-0003-3708-3332, University of Exeter), R Ahmadian (0000-0003-2665-4734, Cardiff University), Slobodan Djordjević (0000-0003-1682-1383, University of Exeter) |
| Year | 2024 |
| Volume | 101 |
| Pages | 104189 |
| Publication date | 2024-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Disaster Risk Reduction (JOURNAL) |
| Journal identifiers | ISSN: 2212-4209 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.ijdrr.2023.104189 |
| OpenAlex | W4389703516 |
| Language | EN |
| Citations received | 1 |
| References cited | 56 |
Urban resilience to natural hazards could make our cities less vulnerable to adverse weather events. However, the implementation of resilience actions is currently not effective, as mechanisms to facilitate collaboration among involved stakeholders are missing. This paper for the first time explores causal mapping as a method to disassemble major issues of urban resilience into a more manageable understanding, and thus identify key objectives, barriers and opportunities in thinking “resilient cities”. In this study, a cognitive-mapping-based workshop was held to elicit information from stakeholders in the remit of urban resilience to flooding. The statements and connections identified during the workshop led a consolidated map, analysed using the StrategyFinder software. This analysis highlighted barriers related to data availability, silo-based approaches and lack of funding; it also evidenced shared goals, such as the need to protect the built environment and minimise impact from flooding. Overall, causal mapping resulted a powerful analytical tool for improving understanding of the complex dynamics of urban resilience, identifying key variables and relationships, as well as eliciting information from stakeholders. Furthermore, this approach facilitated systems thinking, communication and collaboration. This enhanced understanding is fundamental for advancing strategies for future planning, contributing to urban sustainability and liveability
Business · Computer security · Critical infrastructure · Deepwater horizon · Environmental planning · Environmental resource management · Oil spill · Political science · Public relations · Stakeholder · Computer Science · Disaster Management and Resilience · Engineering · Environmental Science · Infrastructure Resilience and Vulnerability Analysis · Psychology · Supply Chain Resilience and Risk Management · Environmental Engineering
Six research priorities for cities and climate change
Framework for analytical quantification of disaster resilience
A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
A review of urban resilience literature
Application of collaborative serious gaming for the elicitation of expert knowledge and towards creating Situation Awareness in the field of infrastructure resilience
Participatory resilience
Towards a resilience management guideline — Cities as a starting point for societal resilience
Capacitating urban governance and planning systems to drive transformative resilience
The Delphi Method
Urban Hazard Mitigation
Urban resilience for building a sustainable and safe environment
Sustainability and resilience for transformation in the urban century
Putting the process into the policy mix
Creating usable science
Urban resilience for whom, what, when, where, and why
A diagnostic tool for supporting policymaking on urban resilience
Governing urban resilience
Planning the resilient city
Integrating earthquake early warnings into business continuity and organisational resilience
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |