International journal of disaster risk reduction最新文献

{"title":"Exploring barriers to circularity in humanitarian supply chains","authors":"Hossein Baharmand","doi":"10.1016/j.ijdrr.2025.105572","DOIUrl":"10.1016/j.ijdrr.2025.105572","url":null,"abstract":"<div><div>Nearly 60 % of humanitarian assistance is provided as in-kind goods through humanitarian supply chains (HSCs), which can result in waste and adverse environmental impacts. Despite growing interest in circular economy principles, their implementation in humanitarian contexts remains limited. This study identifies and prioritizes barriers to circular HSCs through combining literature review, expert focus groups, and interpretive structural modeling (ISM). Our findings highlight funding gaps, unpredictable demand, and insufficient training as critical barriers. We develop a structured understanding of barriers and their relationships in a hierarchical model that provides humanitarian organizations with a strategic roadmap for enhancing circularity while operating within existing resource constraints. We propose feasible circular economy approaches –reusing, repairing, repurposing, and recycling – that require minimal additional infrastructure while delivering environmental benefits and operational efficiencies. Our study contributes to the literature by offering context-specific insights for more sustainable aid delivery systems.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105572"},"PeriodicalIF":4.2,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding and mitigating hostility towards firefighters: A case study of attacks on a UK fire service","authors":"Colin M. Richardson","doi":"10.1016/j.ijdrr.2025.105589","DOIUrl":"10.1016/j.ijdrr.2025.105589","url":null,"abstract":"<div><div>Firefighters increasingly face hostility and aggression during emergency response, posing significant risks to their safety and effectiveness. This study examines the antecedents of attacks on firefighters and introduces the Attack Readiness Framework (ARF) to enhance incident preparedness and risk assessment.</div><div>A qualitative methodology was employed, using semi-structured surveys and thematic analysis to identify key risk factors. Data were collected from frontline personnel at County Durham Fire and Rescue Service from 30 participants using NVIVO 14 for coding and analysis. Findings identify four primary antecedents influencing firefighter vulnerability: incident type, location, occurrence, and training preparedness. Secondary fires were the most frequent settings for hostility, often linked to youth-related disturbances in high-risk areas.</div><div>The study reveals gaps in firefighter training, particularly in de-escalation techniques and defensive strategies. Inter-agency coordination with law enforcement is also found to be inadequate, creating operational challenges. The ARF offers a structured approach to risk assessment, supporting predictive measures and improved training.</div><div>This research highlights the need for increased data collection, data quality improvements, policy reforms, including enhanced PPE, intelligence-sharing, and mandatory training for hostile interactions. Proactive strategies can better protect fire personnel and strengthen public safety.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105589"},"PeriodicalIF":4.2,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resource-sharing behavior while sheltering-in-place: A latent class analysis to guide community-based relief distribution","authors":"Chi-Ya Chou ,&nbsp;Elisa Borowski ,&nbsp;Amanda Stathopoulos","doi":"10.1016/j.ijdrr.2025.105532","DOIUrl":"10.1016/j.ijdrr.2025.105532","url":null,"abstract":"<div><div>Building community resilience is vital due to climate change and more frequent extreme weather events, which often force people to choose between evacuating or sheltering in place. The prevalence of stay-at-home orders and quarantine practices emerging from the COVID-19 pandemic highlights the need to understand how households access resources when mobility is restricted. This research investigates peer-to-peer resource-exchanging behavior during a shelter-in-place response to a flooding event amid the pandemic through an online stated response survey (n=600). Latent class analysis reveals six distinct segments based on respondents’ resource sharing and accepting behaviors. Several household and social context variables help explain these behavioral clusters. Younger individuals and individuals with lower household income are generally more reluctant to accept resources from neighbors, while larger households are more inclined to share essential items. Additionally, social resources, trust in neighbors, and preparedness level can significantly influence individuals’ resource-exchanging behaviors. The findings highlight gaps for governmental agencies and nonprofit organizations to help address, emphasizing the need to ensure sufficient allocation of resources, especially for private items such as backup power sources, communication devices, and shelter, which respondents are least willing to share. This research offers valuable insights for future disaster preparedness programs and resource allocation strategies, aiming to improve community resilience and minimize negative impacts during shelter-in-place responses.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105532"},"PeriodicalIF":4.2,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting and forecasting disasters: A global scan of traditional and local knowledge","authors":"Prakash Kumar Paudel ,&nbsp;Raja Ram Chandra Timilsina ,&nbsp;Dinesh Bhusal ,&nbsp;Henry P. Huntington","doi":"10.1016/j.ijdrr.2025.105590","DOIUrl":"10.1016/j.ijdrr.2025.105590","url":null,"abstract":"<div><div>For centuries, people worldwide have predicted disasters based on observations and experimentation, interpreting animal behavior, plant responses, weather patterns, and celestial phenomena. Despite its significance, such traditional and local knowledge remains under-researched and undocumented, limiting its potential for integration in disaster risk reduction. This review consolidates traditional and local knowledge from 53 research articles, covering 423 cases categorized into three broad indicators: astronomical, meteorological, and biological. These indicators encompass 33 sub-indicators, such as sky, wind, birds, and soil, providing location- and disaster-specific contexts for prediction. Meteorological disasters (e.g., tropical cyclones, storms, and mass movements) constituted the largest share (33 %), followed by hydrological (e.g., floods and storm surges) and climatological disasters (e.g., droughts) (27 %). While there were disaster-specific variations, animal behavior (mammals, insects, birds, etc.) were the most commonly used predictive indicator (39 %), followed by water-related indicators (12 %), plant phenology (9 %), wind (8 %), and both cloud patterns and temperature (5 % each). Other indicators, including observations of the sun, moon, sky, stars, lightning, and rainfall, collectively constituted the remaining 22 %. There were notable similarities and differences in disaster prediction within and across countries in terms of the indicators used. It is, therefore, important to contextualize and localize prediction patterns rather than generalize them. However, scientific metrics need to be explored to assess their broader applicability. This would be a crucial step in harnessing traditional knowledge for integrating effective prediction methods, which requires increased funding and research efforts.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105590"},"PeriodicalIF":4.2,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic flood evacuation modelling for coastal cities: A case study of Shanghai","authors":"Yuhan Yang ,&nbsp;Jie Yin ,&nbsp;Wenhan Feng ,&nbsp;Liang Emlyn Yang ,&nbsp;Junfeng Wang","doi":"10.1016/j.ijdrr.2025.105591","DOIUrl":"10.1016/j.ijdrr.2025.105591","url":null,"abstract":"<div><div>Efficient evacuation during storm floods remains a critical challenge for coastal cities, primarily due to its dynamic and complex nature of flood progression, human behavioral uncertainties, and emergency resource constraints. Current evacuation models inadequately capture these multifaceted dynamics, limiting effective emergency planning. This study introduces an Agent-based Dynamic Coastal Flood Evacuation (DCFE) model that comprehensively simulates the interactions among flood dynamics, human behavioral responses, GIS-based transportation networks, and shelter systems. Using Shanghai as a case study, we evaluate city-scale evacuations during a 1000-year return period storm event. Our results show that without early warning, only 24.2 % of affected populations successfully evacuate within 24 h. With 24-h advance warnings, the same number of people can be evacuated in just 9 h, preventing inundation for about 28 % of the population. Despite this improvement, overall evacuation success rates increase by only 11.2 % due to shelter capacity limitations. The results further reveal that optimized decision-making can double evacuation efficiency, while inequitable shelter distribution exacerbates spatial disparities in evacuation performance. This integrated approach provides practical guidelines for enhancing evacuation strategies in coastal megacities worldwide.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105591"},"PeriodicalIF":4.2,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engaging civil society in CBRNe field training exercises: the PROACTIVE approach","authors":"Laura Petersen ,&nbsp;Holly Carter ,&nbsp;Grigore M. Havârneanu ,&nbsp;Richard Amlôt ,&nbsp;Dale Weston","doi":"10.1016/j.ijdrr.2025.105585","DOIUrl":"10.1016/j.ijdrr.2025.105585","url":null,"abstract":"<div><div>While the inclusion of societal stakeholders in disaster preparedness and risk reduction activities, such as field training exercises, is highly encouraged, rarely is it put into practice. Instead, common practice to add realism to field training exercises appears to be to use off-duty first responders, actors, or mannequins as role play victims and to invite fellow practitioners to be exercise observers. The PROACTIVE project co-organised three CBRNe field training exercises, each in a different country, whereby the public at large, including vulnerable groups, volunteered to role play victims and representatives of civil society organisations took on the role of observer. Through social science and humanities (SSH) mixed methods, this paper aims to better unearth the new perspectives brought by such societal stakeholder engagement. We found that regardless of vulnerability or of culture, societal stakeholders’ perspectives demonstrated the importance of human factors in CBRNe response, such as responder communication and empathy, brought issues of accessibility to the forefront and that involvement in such preparedness activities appears to increase disaster preparedness.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105585"},"PeriodicalIF":4.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"City-scale high-resolution flood nowcasting based on high-performance hydrodynamic modelling","authors":"Boliang Dong ,&nbsp;Bensheng Huang ,&nbsp;Chao Tan ,&nbsp;Kairong Lin ,&nbsp;Junqiang Xia ,&nbsp;Xiaojie Wang ,&nbsp;Yong Hu","doi":"10.1016/j.ijdrr.2025.105584","DOIUrl":"10.1016/j.ijdrr.2025.105584","url":null,"abstract":"<div><div>Effective flood early warning systems serve as a cornerstone in mitigating the impacts of urban flood disasters. Nevertheless, contemporary urban flood warning systems encounter significant technical challenges, particularly the high uncertainty and low spatiotemporal resolution associated with rainfall forecasting and the inefficiency in flood modelling, especially for large-scale and high-resolution predictions. This study introduces an urban flood nowcasting system designed to tackle key technical challenges in flood prediction. The proposed framework employs a multi Graphics Processing Unit (GPU) accelerated shallow water equation (SWE) model, enabling high-resolution predictions of inundation distributions across urban surfaces within a limited time frame. To validate its effectiveness, the framework was applied to a vast urban area spanning 779 km² in Guangdong Province, China. Through the simulation of a representative extreme flood event, the accuracy and computational efficiency of the flood nowcasting system were comprehensively demonstrated, showcasing its potential for real-world applications in urban flood early warning and disaster management. Furthermore, a comprehensive evaluation of the impact of rainfall spatial and temporal resolutions on flood modelling was conducted. The results reveal that the proposed model can predict a 4 h flood event with a spatial resolution of 4 m in just 10 min, harnessing the parallel computing capabilities of 16 GPUs. This established flood nowcasting framework offers strong technical support for the accurate prediction and early warning of urban flood disasters, enhancing disaster preparedness and response.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105584"},"PeriodicalIF":4.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Barriers and best practices for inclusive emergency alerts and warnings","authors":"Melissa Villarreal ,&nbsp;Carson MacPherson-Krutsky ,&nbsp;Mary Angelica Painter","doi":"10.1016/j.ijdrr.2025.105581","DOIUrl":"10.1016/j.ijdrr.2025.105581","url":null,"abstract":"<div><div>Recent disasters showed major gaps in emergency alerting––the process of sending emergency information to communities rapidly–where people with limited-English proficiency (LEP) and auditory or visual (AV) disabilities experience issues receiving alerts in their preferred language or formats. In this paper, we review academic literature, agency reports, and news articles to synthesize barriers and develop best practices for inclusive alerting. The barriers identified include: (1) lack of capacity from agencies distributing alerts and warnings; (2) delay or lack of information in multiple languages; (3) channels used to distribute information are often inaccessible; (4) inaccurate translations; (5) lack of trust in government authorities; and (6) communities’ lack of familiarity with U.S.-based hazards and various cultural beliefs. Despite the barriers, the literature also identifies a series of recommendations that can be summarized into six best practices: alerting authorities should (1) participate in regular training in cultural competency and how to communicate with diverse audiences; (2) actively involve diverse community partners in the process of alert dissemination; (3) distribute alerts via multiple channels; (4) avoid jargon, use plain language, and translate the meaning of alerts; (5) disseminate alerts via well-informed, trusted sources and incorporate participation of diverse populations and communities; (6) and tailor communication to diverse populations and communities by developing language access plans. We present actionable recommendations and considerations for alerting authorities. We anticipate that alerting authorities, researchers, and decision makers can use these findings to improve inclusivity of alerts and warnings for all communities.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105581"},"PeriodicalIF":4.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anatomy of a historic blackout: Decoding spatiotemporal dynamics of power outages and disparities during Hurricane Beryl","authors":"Xiangpeng Li,&nbsp;Junwei Ma,&nbsp;Ali Mostafavi","doi":"10.1016/j.ijdrr.2025.105574","DOIUrl":"10.1016/j.ijdrr.2025.105574","url":null,"abstract":"<div><div>Power outages are a significant consequence of natural hazards, severely disrupting communities' restoration and recovery processes. Despite the increasing frequency and impact of hazard-induced power outages, empirical studies examining their spatial and temporal characteristics across impacted regions remain limited. This dearth of empirical insights inhibits the ability to quantify impacts and examine vulnerability and equity issues for effective resilience investments. This study investigates the spatial patterns and temporal variations in outage duration, intensity, and restoration/recovery following the 2024 Hurricane Beryl in Houston, Texas. This historic blackout caused widespread power disruptions across the Houston metropolitan area, leaving more than 2 million customers without power over several days, resulting in more than 143 million total customer-out hours. By examining the dynamic interplay between outage impact, recovery features, and socioeconomic and infrastructural factors, the analysis identified key determinants contributing to disparities in power outage impacts and recovery efficiency delineated by ZIP Code across Houston. The findings reveal that areas with higher population density and proximity to the hurricane's path experienced more severe initial impacts. Regions with higher median income showed faster recovery, while lower-income areas exhibited prolonged restoration periods, even with favorable infrastructural conditions, suggesting disparities in restoration speed. The study also highlights how urban development features, such as road density and land elevation, explain spatial disparities in power outage impacts and recovery. This research advances the understanding of power outage dynamics in large metropolitan regions through four key contributions: (1) empirical characterization of outages from a historic hurricane, highlighting infrastructure vulnerabilities in a high-density urban context; (2) comprehensive analysis using multiple metrics to capture spatiotemporal dynamics of outages and restoration; (3) leveraging of high-resolution outage data at fine geographic scales and frequent intervals to quantify and reveal previously masked spatial disparities; and (4) systematic examination of socioeconomic, urban development, and environmental factors in shaping disparities in outage impacts and recovery timelines. These findings provide infrastructure managers, operators, utilities, and decision-makers with crucial empirical insights to quantify power outage impacts, justify resilience investments, and address vulnerability and equity issues in the power infrastructure during hazard events.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105574"},"PeriodicalIF":4.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disaster management in a shrinking society: The 2024 Noto Peninsula Earthquake's holiday shutdown, challenges and lessons learned","authors":"Ampan Laosunthara ,&nbsp;Kumpol Saengtabtim ,&nbsp;Anawat Suppasri ,&nbsp;Natt Leelawat ,&nbsp;Takumi Ohashi","doi":"10.1016/j.ijdrr.2025.105582","DOIUrl":"10.1016/j.ijdrr.2025.105582","url":null,"abstract":"<div><div>The 2024 Noto Peninsula Earthquake in Japan offers a unique case study of disaster management in a shrinking society. During a holiday shutdown, the disaster revealed vulnerabilities in a region marked by aging populations and declining infrastructure. This study analyzes official reports, local disaster plans, and post-disaster assessments, and it examines the interplay of multiple hazards, earthquake, tsunami, and fires and their cascading impacts on disaster response and recovery. The study focuses on three key challenges: the Wajima market fire, exposing gaps in firefighting strategies in areas prone to fires and tsunamis; publicly funded demolition processes; and the Unidentified Owner Building Management System. These cases illustrate how demographic decline affects emergency response capabilities, property management, and administrative procedures. Resource constraints, complex property administration, and systemic issues in recovery processes highlight the unique difficulties depopulating regions face. The results from this study also examine innovative solutions deployed during the response, such as satellite communication systems and adaptive governance structures. This research's key recommendations include enhancing multi-hazard preparedness strategies, legal and administrative reforms for an efficient recovery, and fostering community resilience through tailored capacity-building initiatives. This research contributes to disaster resilience literature by addressing the implications of demographic change for emergency management. It offers actionable insights for policymakers and urban planners in aging, disaster-prone communities and emphasizes the need for innovative approaches to managing unclaimed properties and improving disaster governance in regions experiencing population decline.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105582"},"PeriodicalIF":4.2,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144115395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}