International journal of disaster risk reduction最新文献

{"title":"Building community resilience: Development and validation of a school-based framework for post-disaster child mental health support","authors":"Naru Fukuchi ,&nbsp;Nahoko Harada ,&nbsp;Wataru Shoji ,&nbsp;Chizu Konno ,&nbsp;Eiji Suzuki","doi":"10.1016/j.ijdrr.2026.106056","DOIUrl":"10.1016/j.ijdrr.2026.106056","url":null,"abstract":"<div><div>Disasters significantly impact children's mental health, yet professional services remain severely limited in disaster-affected areas. Non-professional (non-specialist) psychosocial interventions delivered by teachers show promise, but systematic evidence on implementation requirements and effectiveness remains limited. In this study, we carry out implementation-focused systematic evidence synthesis to examine non-professional psychosocial interventions for disaster-affected children, and develop a comprehensive implementation framework for school-based settings. We conducted systematic evidence synthesis across PubMed, Scopus, and PsycINFO (2000-2024). Seven studies encompassing 7134 children (ages 8–17 years) met inclusion criteria. Teachers were primary implementers (85.7%). Non-professional interventions demonstrated sustained improvements in adaptive functioning maintained for three years, whereas symptom improvements showed shorter duration. These sustained advantages likely resulted from teachers' ongoing presence enabling continued skill reinforcement through established relationships—mechanisms unavailable in time-limited professional interventions. Successful implementation required structured training (12–20 h), ongoing professional supervision, and systematic cultural adaptation. The consistent 12–20 h training requirement marks a practical threshold where teachers acquire core competencies (psychological first aid, trauma response, group facilitation) without extensive clinical education, while supervision ensures quality. Implementation barriers included educational system constraints (rigid curricula, teacher workload), resource limitations (insufficient professional backup, inadequate materials), and cultural adaptation challenges. As a central outcome of this synthesis, we developed the School-Based Community Resilience Implementation Model (SB-CRIM), a comprehensive evidence-based framework for integrating psychosocial support into educational systems and disaster preparedness planning while addressing the identified implementation barriers.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106056"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401725","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":"Assessing the building façade vulnerability to multiple hazards","authors":"Rossella Marmo,&nbsp;Mariacarla Fraiese,&nbsp;Veronica Vitiello,&nbsp;Roberto Castelluccio","doi":"10.1016/j.ijdrr.2026.106032","DOIUrl":"10.1016/j.ijdrr.2026.106032","url":null,"abstract":"<div><div>Building envelope plays a critical role in ensuring the overall functionality, energy efficiency, and safety of buildings. Due to the exposure to climatic conditions and extreme natural events, building envelope components deteriorate faster than other building components. Beyond long-term performance issues, degraded façade components pose a significant risk to their surroundings directly related to the façade's vulnerability: the more vulnerable its components, the greater the probability of their detachment, and consequently, the higher the risk to people.</div><div>Assessing this Building Risk, as a consequence of the façade vulnerability, should represent a primary concern in ensuring urban safety. However, this topic is not thoroughly explored in the scientific literature; moreover, methodologies to evaluate the façade vulnerability to multiple hazards are missing. To fill this gap, this paper proposes a methodology for assessing building façade vulnerability to multiple hazards. The study determines the propensity of façade components to suffer damage when exposed to hazards by combining their two primary drivers of damage: technical characteristics and degradation. Both drivers are evaluated individually, then combined using a quantitative formula to assess the façade vulnerability.</div><div>The methodology is tested on existing façades located in the Campi Flegrei area, a significant multi-hazard context. The methodology provides a structured approach to vulnerability assessment that can be adapted to new risk scenarios and contexts, ensuring replicability and flexibility. Results contribute to conceptualising and implementing the RETURN project virtual testbeds, enabling the development of “what-if” scenarios to support risk-informed adaptation planning and Disaster Risk Management strategies.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106032"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401726","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":"The effect of digitalization on disaster response in local government: Quasi-experimental evidence from smart city infrastructure in China","authors":"Nanhu Gao ,&nbsp;Zhen Lin ,&nbsp;Bin Yang","doi":"10.1016/j.ijdrr.2026.106043","DOIUrl":"10.1016/j.ijdrr.2026.106043","url":null,"abstract":"<div><div>In the context of global climate change and the increasing frequency of extreme natural disasters, enhancing local governments' disaster response capacity has become a critical challenge worldwide. This study conducted a quasi-natural experiment to examine the effect of smart city (SC) infrastructure, as a key manifestation of local government digitalization, on disaster response times by leveraging China's national SC pilot policy. Using panel data from 283 prefecture-level cities from 2010 to 2020, this study applied a multi-period difference-in-differences (DID) approach to identify causal effects. The results show that the SC infrastructure shortens disaster response times by an average of 12.5%. Mechanism analyses reveal that this effect operates through the improved information transmission efficiency, optimized resource allocation, and enhanced interdepartmental collaboration. Heterogeneity analyses indicate that the effect is stronger in sub-provincial cities and eastern regions. This study provided quasi-experimental evidence for the role of digital governance in emergency management and offered policy implications for scaling the SC initiatives in developing countries.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106043"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401707","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":"Community flood resilience factors; A community's perspective","authors":"Laidlaw Sophie,&nbsp;Percival Sarah,&nbsp;Kiriakoulakis Konstadinos","doi":"10.1016/j.ijdrr.2026.106051","DOIUrl":"10.1016/j.ijdrr.2026.106051","url":null,"abstract":"<div><div>Efforts to reduce flood impacts have shifted towards more dynamic, resilience-based approaches, that encompass community make up and physical impacts. Despite this, there is a lack of understanding and the tools necessary to truly comprehend and measure flood resilience in detail at a community level. Previous community flood resilience models and the corresponding factors do not include the experiences and understanding (lay knowledge) of at-risk community members and hence what in reality makes a community resilient to flooding. A community flood resilience survey was designed and distributed to assess current understanding of community flood resilience, presenting a pre-determined list of 20 community flood resilience factors for consultation. Findings were split into three target groups, members of community flood groups (people who lobby for change in their community), those who have experienced flooding and those who have not experienced flooding. Opinions on community flood resilience differed between the groups, particularly its definition and the applicability of certain social factors (i.e. sense of community or community groups). However, there was consensus on the inclusion of physical factors, implying community flood resilience is still inherently considered physical in nature. Results from this study highlighted the importance of including community members in the analysis of community flood resilience and the design of subsequent community flood resilience frameworks. Ensuring lay knowledge is utilised and providing a community specific flood resilience framework with both established (i.e. land use) and novel (i.e. insurance rates) factors, designed not only for key stakeholders, but also community use.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106051"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401708","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":"Assessing the value of information in pricing insurance against multiple hazards: the case of earthquake and liquefaction","authors":"Susanna Keith ,&nbsp;Enrico Tubaldi ,&nbsp;Marco de Angelis ,&nbsp;Svetlana Stripajova ,&nbsp;John Douglas","doi":"10.1016/j.ijdrr.2026.106052","DOIUrl":"10.1016/j.ijdrr.2026.106052","url":null,"abstract":"<div><div>Pricing of natural hazard insurance requires robust estimates of potential losses from multiple interacting hazards, even in the presence of significant uncertainty in key risk parameters such as site conditions and structural characteristics. This paper presents a framework for quantifying the Value of Information (<em>VoI</em>) provided by targeted, site-specific data to reduce the uncertainty in multi-hazard earthquake and liquefaction risk assessments and to support more informed insurance decision-making. The proposed framework builds on a loss assessment methodology that integrates earthquake shaking and liquefaction hazards, capturing their combined effects on structural vulnerability and expected losses, and applies principles of expected utility theory and decision-making to identify optimal insurance pricing for both clients and insurer.</div><div>The approach is demonstrated through a case study in New Zealand, a seismically active country where variability in ground conditions, particularly <em>Vs30</em>, strongly influences seismic risk. A probabilistic graphical model captures conditional dependencies between shaking, liquefaction, and structural damage, enabling realistic estimation of expected losses. <em>VoI</em> is computed separately for insurers and clients, accounting for premium structures and the financial consequences of incorrect insurance decisions. Results show that <em>VoI</em> is greatest in high-risk, high-uncertainty contexts, particularly where low stiffness soils amplify liquefaction-related losses. While data collection consistently benefits clients, insurers may experience diminishing or even negative <em>VoI</em> as clients adopt more conservative insurance strategies.</div><div>The <em>VoI</em> framework offers practical insights into balancing data acquisition costs against financial benefits, supporting resilient and equitable insurance systems in regions exposed to natural hazards.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106052"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401855","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":"Flood risk management in historic centres: A scalable typological framework integrating GIS, BIM and VR","authors":"Mariella De Fino ,&nbsp;Gabriele Bernardini ,&nbsp;Caterina Alighieri ,&nbsp;Riccardo Tavolare ,&nbsp;Enrico Quagliarini ,&nbsp;Fabio Fatiguso","doi":"10.1016/j.ijdrr.2026.106031","DOIUrl":"10.1016/j.ijdrr.2026.106031","url":null,"abstract":"<div><div>The increasing frequency and severity of climate-related disasters underscore the need for reliable and adaptable risk management solutions, especially in complex environments such as historic city centres, where structural and functional characteristics pose unique challenges. To address this issue, the paper proposes a workflow that integrates GIS, BIM, and VR technologies to enable seamless informative integration and effective assessment of key factors related to hazard, building vulnerability, and user exposure in flood prone historic towns. The approach adopts a multi-scalar logic – connecting the macro-scale analysis of the urban built environment with meso-scale modelling of selected blocks and open spaces – alongside a typological framework that abstracts real-case features into representative, idealized clusters. The objective is to build a digital ecosystem capable of identifying priority areas and scenarios based on construction characteristics and occupancy patterns and serving as a foundation for more specialized studies in hazard modelling, evacuation simulation, and virtual training and communication. The proposed workflow is tested on a historic centre in Central Italy exposed to fluvial flood risk, demonstrating its potential to integrate and operationalize data and processes that have typically been addressed separately in the current practice. Ultimately, the aim is to support a guided and accessible technology transfer to technical and administrative stakeholders involved in risk decision-making.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106031"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401149","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":"The world's largest saddle dam at risk: Multisensor geohazard analysis and downstream impacts","authors":"Hesham El-Askary ,&nbsp;Hesham Morgan ,&nbsp;Surendra Maharjan ,&nbsp;Ali Elgendy ,&nbsp;Wenzhao Li ,&nbsp;Rejoice Thomas ,&nbsp;Austin Madson ,&nbsp;Cyril Rakovski","doi":"10.1016/j.ijdrr.2026.106045","DOIUrl":"10.1016/j.ijdrr.2026.106045","url":null,"abstract":"<div><div>The Grand Ethiopian Renaissance Dam (GERD) Saddle Dam, which holds approximately 89% of the main reservoir's live storage, is one of the largest and most critical auxiliary dams globally; its construction on Ethiopia's Blue Nile has consequently raised significant regional and international concerns regarding potential environmental impacts and geohazard risks. This study presents a comprehensive risk assessment of the GERD Saddle Dam by integrating high-resolution satellite data (GRACE, Sentinel-1, Sentinel-2, WorldView-3), hydrological modeling (SWAT), Persistent Scatterer Interferometry (PSI), geospatial analysis, and advanced statistical techniques. The results highlight critical structural vulnerabilities, including groundwater infiltration estimated at approximately 41 ± 6.2 billion cubic meters during reservoir filling, differential settlement of up to 40 mm, and emerging seepage and leakage pathways. Moreover, anomalous seismicity spatially aligned with pre-existing fault systems has been observed, with Poisson regression analysis indicating increased regional seismicity potentially linked to volcanic activity and the reservoir impoundment process, underscoring the dam's transboundary geohazard risks. A dam-breach simulation reveals catastrophic downstream flood risks extending to Sudan and Egypt, with potential impacts on millions. These findings underscore the urgent need for international risk monitoring frameworks and contribute to advancing global dam safety protocols and Sustainable Development Goals (SDGs 9, 11, and 13).</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106045"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401848","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":"Complex network-based detection and forecasting of high-intensity tropical cyclones","authors":"Ziyu Jiang ,&nbsp;Kaiwen Li ,&nbsp;Ming Wang ,&nbsp;Kai Liu ,&nbsp;Shraddha Gupta ,&nbsp;Jürgen Kurths","doi":"10.1016/j.ijdrr.2026.106030","DOIUrl":"10.1016/j.ijdrr.2026.106030","url":null,"abstract":"<div><div>Accurate detection and forecasting of tropical cyclone tracks using limited climate variables and data is challenging. Here, we propose an innovative time-evolving complex network approach for detecting and forecasting high-intensity tropical cyclones (HITCs) based on mean sea level pressure and relative vorticity at 850 hPa. This approach enables us to successfully reproduce the tracks of HITCs of the Western North Pacific, achieving a mean detection rate exceeding 0.8 and a track error below 120 km in most cases. When applied to forecast 2023 HITC tracks using medium-range weather forecast data, we achieve a detection rate above 0.65 and a track error of less than 260 km for forecasts within 5 days. Our results highlight the strong potential of network-based approaches as data-integrative, physically interpretable statistical tools for HITCs detection and short-term forecasting, leveraging complex climate connectivity to enhance predictive skill.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106030"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401851","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":"Assessing the temporal qualities of indirect impacts of flooding on traffic","authors":"Aditya Rebally ,&nbsp;Caterina Valeo ,&nbsp;Saeid Saidi ,&nbsp;Jianxun (Jennifer) He","doi":"10.1016/j.ijdrr.2026.106035","DOIUrl":"10.1016/j.ijdrr.2026.106035","url":null,"abstract":"<div><div>The temporal nature of flood impacts on traffic is assessed using the flood model HEC-RAS and the micro-scale traffic model SUMO. The 2013 flood in Calgary, Canada is used to demonstrate the direct, indirect and cascading impacts, and identify short and medium scale temporal patterns. The addition of rainfall is considered through nine different scenarios before, during and after the flood. A penalty model is proposed that realistically models the indirect impact to traffic. For all static and dynamic simulations, the flood increases time delay roughly 12–65%, increases distances travelled by 30–45%. With the addition of rain, the delays increase further by 2–15% and distances by roughly 14%, respectively. The delay across these simulations experienced increases in the range of 10–68% (average 24%) with the inclusion of the penalty. A theoretical concept that identifies indirect and cascading impacts of flood and rainfall on transportation in flood impact assessments is proposed.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106035"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401853","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":"Time poverty and disaster readiness: How routine constraints shape hurricane preparation","authors":"Yan Wang ,&nbsp;Ziyi Guo ,&nbsp;Christopher McCarty","doi":"10.1016/j.ijdrr.2026.106037","DOIUrl":"10.1016/j.ijdrr.2026.106037","url":null,"abstract":"<div><div>Disaster warnings offer critical lead time for preparation, but how people use the time is shaped by their daily routines and demands. Although prior research has examined psychological and demographic vulnerabilities in disaster preparedness, the impact of time-poverty – especially during back-to-back disasters – has received little attention. As a result, some groups may experience heightened time stress, lack sufficient time to prepare, or even face increased safety risks. Thus, we conducted an in-depth investigation of time poverty and time use in hurricane preparation, focusing on Florida communities affected by at least one of the consecutive 2024 hurricanes, Helene and Milton. Using geographically targeted surveys from 1,069 hurricane-affected residents, we examined how time poverty, employment status, family responsibilities, and socio-economic vulnerability influenced time use, perceived time insufficiency, and time stress. Latent Class Analysis identified five routine time-poverty profiles, including <em>Young Time-Balanced Workers, Time-Rich Nonworkers</em><em>, Affluent Professionals, Working Overloaded Caregivers, and Strained Low-Income Caregivers</em>. Moderated regression analyses revealed that time-poor caregivers and busy professionals experienced significantly greater time stress and completed fewer preparations, while those with flexible routines reported less stress. We also found that perceived timely warnings alleviated time insufficiency, but this benefit diminished with the onset of the second hurricane. Despite less time spent on preparation and fewer uncompleted tasks, participants reported higher time stress for the second event. Our findings highlight the need for targeted, timely alerts and institutional measures, such as flexible work arrangements and caregivers support, to address structural time poverty and improve disaster readiness, especially under compound disasters.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"135 ","pages":"Article 106037"},"PeriodicalIF":4.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147401854","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}