A spatially explicit decision support framework for parcel- and community-level resilience assessment using Bayesian networks
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A spatially explicit decision support framework for parcel- and community-level resilience assessment using Bayesian networks
Authors
Keywords
-
Journal
Sustainable and Resilient Infrastructure
Volume -, Issue -, Pages 1-21
Publisher
Informa UK Limited
Online
2021-09-06
DOI
10.1080/23789689.2021.1966164
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Asset-Based Assessment of Resiliency in Water Distribution Networks
- (2020) Ardalan Izadi et al. WATER RESOURCES MANAGEMENT
- Probabilistic seismic and tsunami damage analysis (PSTDA) of the Cascadia Subduction Zone applied to Seaside, Oregon
- (2019) Hyoungsu Park et al. International Journal of Disaster Risk Reduction
- Spatial Bayesian Network for predicting sea level rise induced coastal erosion in a small Pacific Island
- (2019) Oz Sahin et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network
- (2019) Sabarethinam Kameshwar et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system
- (2019) Niamat Ullah Ibne Hossain et al. International Journal of Critical Infrastructure Protection
- Use of a Bayesian Network for coastal hazards, impact and disaster risk reduction assessment at a coastal barrier (Ria Formosa, Portugal)
- (2018) Theocharis A. Plomaritis et al. COASTAL ENGINEERING
- A Bayesian network approach for coastal risk analysis and decision making
- (2018) W.S. Jäger et al. COASTAL ENGINEERING
- An optimization-based decision support framework for coupled pre- and post-earthquake infrastructure risk management
- (2018) Camilo Gomez et al. STRUCTURAL SAFETY
- Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions
- (2017) Jeffrey Peter Newman et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Multiple-Hazard Fragility and Restoration Models of Highway Bridges for Regional Risk and Resilience Assessment in the United States: State-of-the-Art Review
- (2017) Ioannis Gidaris et al. JOURNAL OF STRUCTURAL ENGINEERING
- Multiple-Hazard Fragility and Restoration Models of Highway Bridges for Regional Risk and Resilience Assessment in the United States: State-of-the-Art Review
- (2017) Ioannis Gidaris et al. JOURNAL OF STRUCTURAL ENGINEERING
- Modelling spatial and temporal changes with GIS and Spatial and Dynamic Bayesian Networks
- (2016) Yung En Chee et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Spatial Bayesian belief networks as a planning decision tool for mapping ecosystem services trade-offs on forested landscapes
- (2016) Julen Gonzalez-Redin et al. ENVIRONMENTAL RESEARCH
- Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems
- (2016) Yi-Ping Fang et al. IEEE TRANSACTIONS ON RELIABILITY
- Assessing the Resilience of Coastal Systems: A Probabilistic Approach
- (2016) Martin T. Schultz et al. JOURNAL OF COASTAL RESEARCH
- Multi-dimensional hurricane resilience assessment of electric power systems
- (2014) Min Ouyang et al. STRUCTURAL SAFETY
- Challenges of analyzing multi-hazard risk: a review
- (2012) Melanie S. Kappes et al. NATURAL HAZARDS
- Probabilistic spatio-temporal assessment of vegetation vulnerability to climate change in Swaziland
- (2010) WISDOM DLAMINI GLOBAL CHANGE BIOLOGY
- Community variations in social vulnerability to Cascadia-related tsunamis in the U.S. Pacific Northwest
- (2009) Nathan J. Wood et al. NATURAL HAZARDS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More