{"title":"Assessing road network risk performance in the United States: A standardized spatial risk analysis","authors":"Daniel Rivera-Royero , Miguel Jaller","doi":"10.1016/j.ijdrr.2025.105418","DOIUrl":null,"url":null,"abstract":"<div><div>Natural hazards can disrupt road networks, daily activities, and disaster response capabilities, making identifying high-risk areas essential for effective preparedness and response planning. Although existing research addresses road network performance risks, it offers limited insights into spatial patterns, their impact on network functionality, and their implications for disaster operations management. This paper introduces a method to evaluate road network performance risk for various natural hazards at three levels: local (node-specific analysis), regional (risk clustering based on network directions), and global (using a Standardized Spatial Risk Index). The local level considers network topology, historical hazard data, and socio-economic characteristics of the population. The regional level groups local risks by geographic orientation, while the global level assesses the overall spatial distribution of risks across the network. The paper implements the method in the United States, leveraging FEMA's National Risk Index to analyze multiple cities in California and assess risks from 18 types of natural hazards. The results highlight whether an entire city or specific areas require attention, offering actionable insights to enhance resilience through improved mitigation, preparedness, and response strategies.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"122 ","pages":"Article 105418"},"PeriodicalIF":4.2000,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of disaster risk reduction","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212420925002420","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Natural hazards can disrupt road networks, daily activities, and disaster response capabilities, making identifying high-risk areas essential for effective preparedness and response planning. Although existing research addresses road network performance risks, it offers limited insights into spatial patterns, their impact on network functionality, and their implications for disaster operations management. This paper introduces a method to evaluate road network performance risk for various natural hazards at three levels: local (node-specific analysis), regional (risk clustering based on network directions), and global (using a Standardized Spatial Risk Index). The local level considers network topology, historical hazard data, and socio-economic characteristics of the population. The regional level groups local risks by geographic orientation, while the global level assesses the overall spatial distribution of risks across the network. The paper implements the method in the United States, leveraging FEMA's National Risk Index to analyze multiple cities in California and assess risks from 18 types of natural hazards. The results highlight whether an entire city or specific areas require attention, offering actionable insights to enhance resilience through improved mitigation, preparedness, and response strategies.
期刊介绍:
The International Journal of Disaster Risk Reduction (IJDRR) is the journal for researchers, policymakers and practitioners across diverse disciplines: earth sciences and their implications; environmental sciences; engineering; urban studies; geography; and the social sciences. IJDRR publishes fundamental and applied research, critical reviews, policy papers and case studies with a particular focus on multi-disciplinary research that aims to reduce the impact of natural, technological, social and intentional disasters. IJDRR stimulates exchange of ideas and knowledge transfer on disaster research, mitigation, adaptation, prevention and risk reduction at all geographical scales: local, national and international.
Key topics:-
-multifaceted disaster and cascading disasters
-the development of disaster risk reduction strategies and techniques
-discussion and development of effective warning and educational systems for risk management at all levels
-disasters associated with climate change
-vulnerability analysis and vulnerability trends
-emerging risks
-resilience against disasters.
The journal particularly encourages papers that approach risk from a multi-disciplinary perspective.