Analyzing Multisector Stakeholder Collaboration and Engagement in Housing Resilience Planning in Greater Miami and the Beaches through Social Network Analysis
Datos Bibliográficos
| ID | 21738431 |
|---|---|
| Autores | Hang Ren (0000-0001-5326-6433, Florida International University), Lu Zhang (0000-0002-8855-8492, Florida International University, autor de correspondencia), Travis A Whetsell (0000-0001-5395-4754, Georgia Institute of Technology), N Emel Ganapati (0000-0003-0967-9593, Florida International University) |
| Año | 2023 |
| Volumen | 24 |
| Número | 1 |
| Fecha de publicación | 2023-02-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Natural Hazards Review (JOURNAL) |
| Identificadores de la revista | ISSN: 1527-6988 • E-ISSN: 1527-6996 |
| Editorial | American Society of Civil Engineers (ASCE) (PUBLISHER • US) |
| DOI | 10.1061/(asce)nh.1527-6996.0000594 |
| OpenAlex | W4298132670 |
| Idioma | EN |
| Citas recibidas | 7 |
| Referencias citadas | 88 |
Housing resilience planning is a challenging process that requires active participation of multisector stakeholders, including public agencies, private industries, nongovernmental organizations (NGOs), academia, and community residents. Despite the importance of multisector stakeholder collaboration and engagement, there is limited understanding of how stakeholders collaborate and engage in housing resilience planning. To address this gap, this study used social network analysis (SNA) to analyze how multisector stakeholders collaborate in producing housing resilience-focused plans, reports, and guidelines. A bipartite SNA model was built based on the data collected from 39 housing resilience planning documents in the Greater Miami and the Beaches (GM&B) region, including the City of Miami, the City of Miami Beach, and Miami-Dade County. Three network centrality measures were computed, and exponential random graph model (ERGM) analysis was performed to analyze the network. This study found that there are significant differences in the centrality measures across different stakeholder sectors. Among them, public agencies and academic stakeholders contributed more to housing resilience planning, whereas the involvement of community residents was relatively limited compared with that of the other sectors. In addition, the results suggest that more-balanced, decentralized, and intersector collaboration mechanisms may be needed to enhance housing resilience planning. The findings from this study offer knowledge of and insight into how to facilitate more-effective multisector stakeholder collaboration in planning for housing resilience
Community resilience · Environmental planning · Environmental resource management · Geography · Miami · Political science · Psychological resilience · Public relations · Relocation · Sociology · Stakeholder · Stakeholder engagement · Community Health and Development · Computer Science · Disaster Management and Resilience · Engineering · Environmental Science · Psychology · Urban and Rural Development Challenges
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| Obras citantes distintas | 7 |
|---|---|
| Citas por año | 2,33 |
| Intervalo de citas | 2023 - 2026 (4) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 7 |