International journal of disaster risk reduction最新文献

{"title":"Supporting “Build Back Better” in historical towns: a novel methodology to include users’ exposure and vulnerability in strategic function relocation assessment","authors":"Enrico Quagliarini ,&nbsp;Gabriele Bernardini ,&nbsp;Luca Domenella ,&nbsp;Giovanni Marinelli","doi":"10.1016/j.ijdrr.2025.105700","DOIUrl":"10.1016/j.ijdrr.2025.105700","url":null,"abstract":"<div><div>Applying ‘Build Back Better’ (BBB) principles to Historical Urban Built Environments (HUBEs) means balancing sustainable structural and non-structural strategies with revitalization and preservation tasks, by addressing multiple risk factors. Among them, user exposure (“how many people?”) and vulnerability (“of which typology?”) can describe how the HUBE and its composing parts can be attractive depending on their functions, also impacting potential damage and losses. Relocating strategic functions can directly impact these factors, being strictly linked with urban policies. Existing approaches try to quantify user factors over space and time, but operational implications for decision-makers seem to be still limited. This work aims to develop a methodological framework to evaluate the multi-scale impact of function relocation in HUBEs assessing users' vulnerability and exposure at the: (1) macroscale, to evaluate if relocation can benefit the whole HUBE safety; (2) mesoscale (open space-related), to identify critical “hot-spots” in the HUBE. The framework is showcased on a significant earthquake-prone Italian HUBE. In particular, validated methodologies exploiting geospatial tools are used to generate typical use scenarios (i.e. daytime, night-time, holidays), aggregating micro-scale inputs on indoor and outdoor functions at meso/macroscales. User factors metrics are derived to compare current and relocation scenarios on selected buildings. Results demonstrate the framework capabilities in quantifying relocation impacts at the considered scales, thus providing valuable support to urban planning practices. Its implementation in decision-support systems would enable dynamic monitoring of urban development policies, prioritizing risk-reduction over space, and focusing interventions on physical vulnerability where user factors impact increases.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"127 ","pages":"Article 105700"},"PeriodicalIF":4.2,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632655","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":"On the spatiotemporal knowledge-driven vulnerability assessment of urban areas: A clustering-based approach","authors":"João Carlos N. Bittencourt ,&nbsp;Daniel G. Costa ,&nbsp;Paulo Portugal ,&nbsp;Maycon L.M. Peixoto ,&nbsp;Francisco Vasques","doi":"10.1016/j.ijdrr.2025.105681","DOIUrl":"10.1016/j.ijdrr.2025.105681","url":null,"abstract":"<div><div>In recent years, there has been a notable increase in the implementation of emergency management digital solutions. While these systems are becoming increasingly prevalent in cities, they must be properly set up and adopted based on a comprehensive understanding of the spatiotemporal dynamics of urban areas. This study aims to develop and validate the VERUS (Vulnerability Evaluation for Resilient Urban Systems), a spatiotemporal clustering framework for assessing urban vulnerability based on the dynamic influence of urban infrastructures during emergencies, indicating how populations are negatively affected based on the existing urban dynamics. For that, a holistic and adaptive urban perspective is adopted centred on the influence of selected groups of PoTIs (Points of Temporal Influence). Moreover, instead of considering static influence, it also incorporates the fluctuating impact of each PoTI throughout time windows. The proposed clustering method divides the urban area into influence clusters to assess the vulnerabilities within their boundaries, taking as input open geospatial datasets like OpenStreetMap. To effectively address the issue of defining the optimal number of clusters, we evaluate various methods and suggest a combination of OPTICS and K-means to provide a reliable and adaptable clustering definition without the need for parameter adjustments. Experimental results in the cities of Porto, Lisbon, and Paris demonstrate its adaptability to diverse urban configurations, illustrating its practical feasibility by revealing varying levels of vulnerability. These insights emphasise its potential to inform knowledge-driven smart city systems, where tailored interventions can address the unique challenges of different urban environments.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"127 ","pages":"Article 105681"},"PeriodicalIF":4.2,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632582","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":"Between skepticism and solutions: The institutionalization of cash assistance in Nepal's disaster response","authors":"Prabin Sharma ,&nbsp;Elyse Zavar","doi":"10.1016/j.ijdrr.2025.105699","DOIUrl":"10.1016/j.ijdrr.2025.105699","url":null,"abstract":"<div><div>This case study examines the effectiveness of cash programming in supporting the recovery of Nepali households after disasters, based on interviews with 17 humanitarian practitioners experienced in cash and voucher assistance (CVA) in Nepal since the 2015 earthquakes. We align this evolution with different humanitarian aid theories to showcase how theory and practice have changed over time in Nepal. The study found that, despite facing challenges, cash programming was perceived as more efficient and effective than traditional aid due to its ability to empower recipients, enhance transparency, and reduce administrative burdens. Key challenges identified include government skepticism, limited stakeholder coordination, and barriers to financial inclusion. The study also spotlights the evolution of cash programming in Nepal from emergency response to development programming with a shift from cash envelopes to digital technologies. The study highlights the need to strengthen national-level disaster risk reduction and management frameworks to improve the effectiveness of cash programming in disaster recovery. It recommends investing in anticipatory action, fostering strong government support, and developing robust institutional frameworks to maximize the potential of cash programming as a recovery tool. By drawing on lessons learned from Nepal, the findings provide actionable insights for other countries facing similar challenges in disaster recovery offering strategies to better utilize cash transfers in building resilience and responding to disasters effectively. Ultimately, this study contributes to humanitarian scholarship by illustrating how cash programming is progressively shaping Nepal's disaster response landscape, offering critical insights into its potential for long-term integration within national systems and the broader humanitarian-development nexus.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"128 ","pages":"Article 105699"},"PeriodicalIF":4.2,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655510","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 education: Do manga materials based on the overlooked concept of postevacuation behaviors affect selective attention in people returning immediately after a major earthquake to evacuated buildings posing Natech risks?","authors":"Yusuke Koshiba ,&nbsp;Ryo Saito","doi":"10.1016/j.ijdrr.2025.105701","DOIUrl":"10.1016/j.ijdrr.2025.105701","url":null,"abstract":"<div><div>Buildings where hazardous materials (e.g., flammable, oxidizing, toxic, and asphyxiating chemicals) are stored and handled differ from general buildings. Such buildings are susceptible to natural hazard–triggered technological disasters (Natechs), including fires, explosions, poisoning, and asphyxiation. Previous studies have found that most individuals prefer to re-enter evacuated buildings that do not appear damaged. However, unsafe re-entry into buildings with hazardous materials immediately following major earthquakes poses significant risks, potentially placing the lives of those that survived the main shock at risk. This study probed the effectiveness of manga-based educational materials on selective attention immediately following major earthquakes, focusing on re-entry into buildings where hazardous materials were stored and handled. A survey was administered to 878 Japanese undergraduate and graduate university students that collected their demographic information, focusing on the respondents’ attention priorities during their re-entry. The results showed that most participants who re-entered evacuated buildings focused primarily on items and/or events such as falling objects and ceilings that were associated with seismic activity before reading educational materials. Moreover, participants continued to direct their attention to hazardous materials in the buildings after reading the materials. The participants who read manga-based materials demonstrated greater attention to hazardous materials than those who read text-based materials conveying equivalent content. These findings support the development of effective disaster education materials relating to facilities that store and handle hazardous materials, significantly reducing Natechs-associated risks.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"128 ","pages":"Article 105701"},"PeriodicalIF":4.2,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634295","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":"Tales and plays in the flames: How stories and theatrics converge fire disaster knowledge and action in marginalized contexts","authors":"Beatrice Hati","doi":"10.1016/j.ijdrr.2025.105676","DOIUrl":"10.1016/j.ijdrr.2025.105676","url":null,"abstract":"<div><div>Traditional disaster epistemologies are significantly limited in reflecting and confronting the intricate realities of everyday disasters. Technocratic voices are too often privileged while indigenous praxis and ways of knowing are subordinated and critical nuances overlooked. A holistic understanding of everyday disasters and how they are governed in their inherently complex and multifaceted nature demands that we inquire differently. Drawing from a post-structural community-based participatory research, this paper confronts this gap by exploring how storytelling and participatory theatre diversify disaster knowledge and accelerate disaster risk reduction at the grassroots. The paper discusses the theoretical frontiers and individual applications of these tools, makes a case for their combined value prospects, and empirically integrates them to investigate fire disaster governance arrangements in underserved urban poor communities in Nairobi, Kenya. The findings demonstrate how this methodological convolution enriched understanding of everyday fire disasters, fostered transformative learning, and stimulated collective fire disaster risk reduction at the grassroots. The analysis is presented alongside a critical self-reflection discussing how the approach transformed positions of both the researcher and participants in the study. Integration of these participatory tools offers multiple value possibilities through diversity of knowledges, convergence of voices, fluid research identities, and collaborative praxis pathways. The paper contributes academic insights on deepening disaster knowledge whilst elevating research experiences and catalyzing societal change. It further offers pragmatic solutions to embrace all-of-society and all-of-knowledge approaches towards disaster risk governance.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"128 ","pages":"Article 105676"},"PeriodicalIF":4.5,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724269","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":"Instance segmentation techniques for seismic building structural type estimation from remote sensing imagery – Evidence from Xi'an city, China","authors":"You Xuan ,&nbsp;Christian Geiß ,&nbsp;Huandong Mu ,&nbsp;Dexin Niu ,&nbsp;Bojia Guo ,&nbsp;Yahong Deng","doi":"10.1016/j.ijdrr.2025.105686","DOIUrl":"10.1016/j.ijdrr.2025.105686","url":null,"abstract":"<div><div>Collecting exposure information for seismic risk assessment if frequently a labor-intensive and costly aspect. This study reveals the potential of automatically determining Seismic Building Structure Types (SBSTs) utilizing remote sensing imagery and instance segmentation models. A comprehensive process is introduced, which encompasses (i) data acquisition from remote sensing imagery; (ii) compilation of training data for subsequent supervised model learning, including clipping, resizing, zero-padding, labeling, and augmentation; (iii) and supervised model learning using the YOLO Series. Regarding the latter, we implement a set of seventeen pretrained models from YOLOv5, v7, v8 and v11 and provide an exhaustive experimental evaluation. The ancient Xi'an city wall is employed as the research area to evaluate the models' classification accuracy based on the buildings within it. The findings are as follows: A relatively larger model size and better adaptability of the model to the task lead to better performance in instance segmentation, allowing YOLOv7x-seg to outperform other models. By comparison, the mean average precision value for singular tasks, such as height and material instance segmentation, surpasses that of the comprehensive task, i.e., SBST instance segmentation, with effectiveness increasing from SBST, to height, and finally, to material. From an application standpoint, the models effectively identify buildings across various urban layouts, including buildings in open scenes, regularly arranged structures, and dense, irregularly arranged developments. However, the models still occasionally exhibit instances of missed detections or false positives. Nevertheless, our work underlines the great potential for a rapid assessment of crucial seismic exposure properties in complex built environments.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"127 ","pages":"Article 105686"},"PeriodicalIF":4.2,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632583","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":"Evaluating the impacts of earthquake disasters on the building construction sector: a SARIMA-based counterfactual analysis","authors":"Diocel Harold M. Aquino,&nbsp;Niluka Domingo,&nbsp;Chinthaka Atapattu","doi":"10.1016/j.ijdrr.2025.105695","DOIUrl":"10.1016/j.ijdrr.2025.105695","url":null,"abstract":"<div><div>Disasters have a dual effect on the construction industry. While their initial impact disrupts construction activities, the resulting damage also stimulates construction demand. Existing scholarly literature predominantly adopts qualitative approaches in examining the impacts of disasters on the sector. This study introduces a quantitative methodology to assess the impacts of disasters on building construction activity. Utilizing counterfactual time series analysis, trajectories of the construction sector in the absence of disasters are simulated and subsequently compared with actual observed trajectories. Building consent datasets were obtained from Statistics New Zealand and time series analysis was employed to investigate the effect of the Canterbury and Kaikoura earthquakes on the building construction sector, examining impacts at both national and regional levels. The findings reveal that the Canterbury earthquake had a significant national impact, initially decreasing construction activity but subsequently leading to more rapid growth in the medium to long term than anticipated. In contrast, the Kaikoura earthquake's impact was largely confined to the Canterbury region, slowing the local building construction sector. This study highlighted the usefulness of counterfactual time series analysis in assessing the impacts of disasters on the construction sector, and its findings are useful for simulating the impacts of disasters and other shocks in forecasting future trajectories of the sector.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"127 ","pages":"Article 105695"},"PeriodicalIF":4.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596563","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":"Mitigation behaviors of homeowners and renters in the wildland urban interface","authors":"Aishwarya Borate ,&nbsp;Omar Pérez Figueroa ,&nbsp;Douglas Houston ,&nbsp;Christopher Ihinegbu ,&nbsp;Ariane Jong-Levinger ,&nbsp;Jochen E. Schubert ,&nbsp;Brett F. Sanders","doi":"10.1016/j.ijdrr.2025.105688","DOIUrl":"10.1016/j.ijdrr.2025.105688","url":null,"abstract":"<div><div>Residential development within the wildland-urban interface (WUI) has greatly expanded in the United States since the 1990s, amplifying wildfire risk by placing people and structures in greater proximity to flammable vegetation. Household wildfire mitigation actions can vary substantially by cost, knowledge required, and perceived effectiveness, but few studies have examined them separately and how their adoption varies by housing tenure in the context of wildfires. To address this gap, we surveyed residents living in WUI areas within Southern California near recent burn scars in the Santa Ana and San Bernardino Mountain ranges. Drawing on the Protection Motivation Theory and the Theory of Planned Behavior, we evaluated the factors driving the adoption of five Wildfire Mitigation Intention or Implementation (WMII) action types: fire insurance, structural retrofits, exterior minor maintenance, exterior vegetative measures, and community actions. Findings indicate that self-efficacy (perceived ability to undertake protective measures) and response efficacy (perceived effectiveness of a protective measure) are positively associated with all action types, with self-efficacy having a stronger association. Factors associated with implementation or intention to take mitigation action differed across action types. Renters reported lower levels of mitigation overall and faced greater financial and knowledge barriers. Findings stress that wildfire mitigation programs should account for how knowledge, resources, and abilities to take different WMII actions vary by housing tenure. Findings suggest that wildfire emergency officials should focus on capacity building and public education initiatives for WUI residents, with a particular focus on addressing the unique challenges renters face in high-risk areas.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"127 ","pages":"Article 105688"},"PeriodicalIF":4.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605312","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":"Interdisciplinary perspectives on the intersections of roads, sustainable development, and disaster resilience","authors":"Ellen B. Robson ,&nbsp;Peter McGowran ,&nbsp;Hanna A. Ruszczyk ,&nbsp;Bruce D. Malamud ,&nbsp;Edward Simpson ,&nbsp;Alexander L. Densmore ,&nbsp;Neil Denton ,&nbsp;Natasha Chapplow ,&nbsp;Phurwa Gurung ,&nbsp;Tilly E. Hall ,&nbsp;Rebekah Harries ,&nbsp;Jack Jenkins ,&nbsp;Apil KC ,&nbsp;Richard Kotter ,&nbsp;Ashutosh Kumar ,&nbsp;Bina Limbu ,&nbsp;David Milledge ,&nbsp;Gina Porter ,&nbsp;Nick Rosser ,&nbsp;Faith E. Taylor ,&nbsp;Kifle Woldearegay","doi":"10.1016/j.ijdrr.2025.105691","DOIUrl":"10.1016/j.ijdrr.2025.105691","url":null,"abstract":"<div><div>Natural hazard-influenced disasters, sustainable development, and roads are closely intertwined. Governments and funding agencies worldwide are increasingly focused on delivering disaster-resilient road infrastructure. However, the multifaceted, ubiquitous, and contested nature of road networks means that making them resilient to disasters is a complex task. Efforts to build resilient roads generate trade-offs against other policy goals like climate resilience and sustainable development, and always carry political implications. In this paper, we synthesise discussions that took place during a one-day hybrid workshop on the intersections between roads, development and disaster resilience with 50 practitioners, policymakers, and physical and social scientists from around the world with expertise in relevant fields. Two key themes emerged: (i) the political ecology of the resilience of road networks and (ii) the key players and politics surrounding road construction and maintenance. Through synthesising workshop discussions with contemporary literature, we present working definitions of disaster resilience for these two themes to help shape future interdisciplinary research on road disaster resilience.When thinking through the theme of political ecology, road disaster resilience is understood within the context of uneven power dynamics and the political work done by applying a resilience lens to the research objects in question. When thinking through key road players and politics, road disaster resilience is understood to emerge from the relationships between financers, knowledge holders, and those with ownership over the road. In synthesising key themes, we ultimately develop the concept of “roads-in-relation” as a framing device for future interdisciplinary road disaster resilience research that crosscuts these key themes.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"128 ","pages":"Article 105691"},"PeriodicalIF":4.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144679311","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":"Identifying social vulnerability profiles for coastal flood using supervised and unsupervised machine learning: A case study of Lekki Peninsula, Lagos, Nigeria","authors":"Adesola Akindejoye ,&nbsp;Christophe Viavattene ,&nbsp;Sally Priest ,&nbsp;David Windridge","doi":"10.1016/j.ijdrr.2025.105693","DOIUrl":"10.1016/j.ijdrr.2025.105693","url":null,"abstract":"<div><div>Coastal flooding disproportionately impacts households based on pre-existing vulnerability characteristics. Identifying these vulnerabilities is critical for effective flood risk reduction. Despite its significance, there is a paucity of techniques for identifying suitable Social Vulnerability Indicators at a local scale. This study investigates an evidence-based indicator approach to rank factors contributing to social vulnerability to coastal flooding using a purposive sample of 1334 flood-affected households in Lekki Peninsula, Nigeria. By integrating the Expectation Maximization Algorithm with Support Vector Regression (EM-SVR), and employing permutation feature importance, we identified distinct social vulnerability clusters and their associated indicator profiles. The findings reveal that a substantial (over 60 %) of the case study had moderate level of vulnerability, with clusters of similar rankings exhibiting variations in indicator profiles. Also, significant differences within the wards were observed across all areas, especially in Ajiran/Osapa and Maroko/Okun Alfa. The EM-SVR models were evaluated using various metrics, which revealed that the EM-SVR achieved a high R-squared accuracy across the seven clusters, ranging from 88.8 % to 95.7 % for the training set and 90.2 %–96.1 % for the testing set. Furthermore, the models demonstrated a low Mean Absolute Error, ranging from 0.051 to 0.075 for training and 0.051 to 0.077 for testing. Financial instability, poor social networks, lack of insurance, and pre-existing health conditions consistently emerged as the most influential indicators across clusters. These findings offer actionable insight for decision-makers by providing a well-structured and targeted approach to identifying vulnerable households and enhancing mitigation strategies.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"127 ","pages":"Article 105693"},"PeriodicalIF":4.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605311","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}