The Effects of Enhanced Information Utilization in Collaborative Hazard Mitigation Planning
Bibliographic Data
| ID | 21476754 |
|---|---|
| Authors | Richard D Margerum (0000-0002-0131-4736, Twitter (United States)), Adam Zwickle (0000-0001-7113-993X, Twitter (United States)), Josh Bruce (0000-0001-5895-5908), Curtis Thomas |
| Year | 2022 |
| Volume | 88 |
| Issue | 4 |
| Pages | 464-478 |
| Publication date | 2022-10-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of the American Planning Association (JOURNAL) |
| Journal identifiers | ISSN: 0194-4363 • E-ISSN: 1939-0130 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01944363.2021.1997352 |
| OpenAlex | W4224257643 |
| Language | EN |
| Citations received | 3 |
| References cited | 49 |
Problem, research strategy, and indings Natural hazard mitigation plans are prepared in communities throughout the United States. Like many complex, multijurisdictional issues, the plans should be developed collaboratively using the best available data to reduce risks. In this study we assessed a program that enhanced data utilization for collaborative hazard mitigation planning to determine its impact on plans, processes, and implementation. We used surveys, plan analysis, interviews, and forums to compare three Oregon counties that participated in the program with three that partially participated and four that did not participate. We found that the program had limited effect because professionals encountered mismatched perceptions of risk, difficulties with data translation and interpretation, lack of integration, and limited engagement. This research highlights implications for packaging risk data, the role of information in collaboration, and the challenge of collaborative implementation, but the focus on the Oregon experience may limit the generalizability to other contexts.Takeaway for practice To overcome the decision biases common in risk-based decision making, practitioners need to articulate specific outcomes connected to emotion, social norms, and peer attitudes. Data and analysis should be part of an interactive process to promote shared understanding among decision makers. Practitioners will be more effective when they combine these strategies with opportunities to galvanize the public and decision makers toward action
Action plan · Business · Generalizability theory · Geography · Hazard · Knowledge management · Political science · Public relations · Computer Science · Disaster Management and Resilience · Flood Risk Assessment and Management · Psychology · Risk Perception and Management
Beyond Consensus
Planning with Complexity
Searching for the Good Plan
Knowledge and the Prediction of Behavior
Information in Communicative Planning
Planning for Resiliency
Status quo bias in decision making
Mandated Planning for Climate Change
The Affect Heuristic
Effective Risk Communication
Why Study Risk Perception
The Role of the Affect and Availability Heuristics in Risk Communication
Capacity for Stakeholder Participation in Recovery Planning
Discounting of long-term costs
New Tools for Environmental Protection
The Influence of State Planning Mandates on Local Plan Quality
Low-Regrets Incrementalism
Plan Quality Evaluation 1994–2012
Are We Learning to Make Better Plans
Impacts of Federal and State Hazard Mitigation Policies on Local Land Use Policy
Values, conflict, and trust in participatory environmental planning
New Media and the Coproduction of Safety
Participatory approaches for disaster risk governance? Exploring participatory mechanisms and mapping to close the communication gap between population living in flood risk areas and authorities in Nova Friburgo Municipality, RJ, Brazil
The Citizen's Guide to Planning
Designing and Implementing Cross‐Sector Collaborations
Plans Can Matter! The Role of Land Use Plans and State Planning Mandates in Limiting the Development of Hazardous Areas
An Integrative Framework for Collaborative Governance
Collaborative Governance in Theory and Practice
Availability
| Citations per year | 1.5 |
|---|---|
| Citation span | 2024 - 2025 (2) |
| Highly cited | No |