Progress in Disaster Science最新文献

{"title":"Assessing the role of international agencies in disaster governance in Nepal","authors":"Ganesh Dhungana,&nbsp;Indrajit Pal","doi":"10.1016/j.pdisas.2025.100421","DOIUrl":"10.1016/j.pdisas.2025.100421","url":null,"abstract":"<div><div>International agencies are an essential part of global disaster governance and played an important role in shaping global mandates such as Sustainable Development Goals (SDG) and the Sendai Framework of Disaster Risk Reduction (SFDRR). Disaster Management and Governance are multi- disciplinary and interconnected, so it is important to understand the role of international agencies in strengthening and managing them. This qualitative case study encompassed a literature review, stakeholder consultation, and key informant interviews, contextualizing 2015 Nepal earthquake in understanding the role of international agencies in the paradigm shift of disaster governance in Nepal. The findings of the study presented here have briefly discussed the engagement of international agencies in legislation formulation, institutional arrangement, and resource allocation. The study has reflected that disaster-related legislation in the country is largely influenced by international frameworks, and its implementation, which depends on technical and financial support from international agencies. The study also shows a significant knowledge gap in understanding the comprehensive disaster management approach among government officials and development professionals, reflecting a weak fundamental ground in shaping the disaster governance of the country. The study has suggested a robust framework for need assessment to ensure the support of international agencies in most required aspects of disaster governance.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100421"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing travel route for medical services during evacuation: A network and shared mobility perspective","authors":"C.Y. Lam ,&nbsp;A.M. Cruz ,&nbsp;A. Fujiwara","doi":"10.1016/j.pdisas.2025.100407","DOIUrl":"10.1016/j.pdisas.2025.100407","url":null,"abstract":"<div><div>Medical transportation during evacuation encompasses the coordinated efforts to transport individuals with medical needs and deliver medical relief goods and personnel during emergencies. Shared mobility is a concept where available transportation resources are shared among users. This study proposes an optimization model with a shared mobility perspective for medical transportation during evacuations, addressing route efficiency, service timeframes, and resource constraints. The model focuses on delivering medical relief goods, dropping off medical personnel, and picking up medical evacuees during evacuations. It integrates a transportation network specifically designed for medical purposes, incorporating multiple demand nodes with specified time frames and penalty costs for early and late deliveries. The optimal travel route ensures that demand nodes are served within acceptable service time intervals. Travel routes are designed and updated according to demand requests from nodes to satisfy diverse demands such as delivering medical supplies, transporting personnel, and evacuating patients efficiently. This study presents a foundational approach to optimizing travel routes for medical personnel, supplies, and evacuees, which significantly enhances the efficiency of medical transportation during evacuations. The approach not only optimizes distance and cost but also ensures compliance with strict time constraints, addressing the challenge of consolidating various medical services into a single travel route. A numerical example demonstrates how this model effectively minimizes overall travel costs while incorporating a time-sensitive schedule for medical transportation.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100407"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge, attitude, and preparedness to respond to heat waves among informal workers in Dhaka, Bangladesh","authors":"Sheikh Mohiuddin Shahrujjaman ,&nbsp;Bivuti Bhushan Sikder ,&nbsp;Dilara Zahid ,&nbsp;Md Sohan Khan","doi":"10.1016/j.pdisas.2025.100436","DOIUrl":"10.1016/j.pdisas.2025.100436","url":null,"abstract":"<div><div>Heat waves pose a growing threat amid climate change, impacting human health and the environment. This study focuses on the Dhaka Metropolitan Area (DMA) to explore the knowledge, attitudes, and preparedness of informal workers regarding heat waves. The research adopts a quantitative approach, employing a multi-stage sampling technique to survey 420 respondents in four selected thanas of DMA. Well-structured questionnaires, adapted from previous studies, were administered through face-to-face interviews, with real-time monitoring using Kobo Toolbox. Results reveal a significant gap in knowledge, with 66.66 % of respondents exhibiting a moderate level. Attitudes vary, as 49.6 % hold a mid-level attitude, expressing concern about heat waves but showing reluctance to change behavior. Preparedness is low, with 62.7 % having minimal readiness for heat-related emergencies. The study found statistically significant correlation between knowledge and attitude (<em>r</em> = 0.202), between knowledge and preparedness (<em>r</em> = 0.291), and between attitude and preparedness (<em>r</em> = 0.142). The findings contribute to practical insights for policymakers to enhance resilience among informal workers, informing public health policies, identifying vulnerable groups, and guiding future research and interventions in the context of heat waves and climate change.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100436"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors associated with household flood preparedness in Songkhla old town Thailand","authors":"Srijya Thapa ,&nbsp;Yusuke Toyoda ,&nbsp;Orapin Laosee ,&nbsp;Piyapong Janmaimool ,&nbsp;Tarinee Buadit ,&nbsp;Nattaneeporn Noisangiam ,&nbsp;Cheerawit Rattanapan","doi":"10.1016/j.pdisas.2025.100441","DOIUrl":"10.1016/j.pdisas.2025.100441","url":null,"abstract":"<div><div>This study investigates household disaster preparedness in Songkhla Old Town, Thailand, a culturally significant area vulnerable to floods. Using the Protection Motivation Theory framework, we conducted a cross-sectional survey of 450 households to assess preparedness levels and identify associated factors. Our findings revealed that disaster preparedness knowledge emerged as the strongest predictor of household preparedness (β = 0.539, <em>p</em> &lt; 0.001), followed by perceived disaster risk (β = 0.202, <em>p</em> &lt; 0.001) and perceived disaster consequences (β = 0.193, p &lt; 0.001). Community preparedness and support (β = 0.134, p &lt; 0.001) and governmental preparedness (β = 0.126, <em>p</em> = 0.003) also positively influenced preparedness behaviors, while anxiety showed a negative relationship (β = −0.124, <em>p</em> = 0.010). Notably, socio-demographic characteristics did not significantly predict preparedness, suggesting the importance of local cultural and institutional context. These findings underscore the need for multi-faceted interventions integrating individual-level factors like knowledge with community-level factors like social cohesion and governmental support.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100441"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144178320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing coastal community preparedness: The role of education, experience, and exposure to information","authors":"Rina Suryani Oktari ,&nbsp;Hizir Sofyan ,&nbsp;Alfy Hidayati ,&nbsp;Randy Rolanda ,&nbsp;Syamsidik ,&nbsp;Ferad Puturuhu ,&nbsp;Daisuke Sasaki","doi":"10.1016/j.pdisas.2025.100429","DOIUrl":"10.1016/j.pdisas.2025.100429","url":null,"abstract":"<div><div>Coastal hazards create impact damage on vital assets in lowland coastal zones. While education, experience, and information exposure affect individual preparedness, the combined impact of coastal hazards on community readiness needs further exploration. This study aims to explore factors influencing coastal community preparedness, by examining relationships between preparedness and information exposure variables, and by assessing the impact of knowledge, experience, and information exposure using Structural Equation Modelling (SEM). This study involves 932 respondents in the Indonesian coastal cities of Banda Aceh, Mataram, and Ambon. The SEM analysis confirmed a well-fitting model with the following statistics: χ2 = 17.961, RMSEA = 0.017, GFI = 0.996, CFI = 0.998, AGFI = 0.986, TLI = 0.996, and Normed Chi-Square = 1.283. These results indicate strong alignment between the proposed model and the observed data. The study found positive relationships between preparedness variables and their respective indicators. Similarly, exposure variables related to information sources on coastal hazards and early warnings also showed positive associations with their indicators. Education, experience, and exposure to information were identified as significant factors influencing community preparedness, explaining 89 % of the variability in preparedness variables. These findings underscore the importance of these factors in enhancing community resilience to coastal hazards.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100429"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of digital participation platforms in risk-informed development: A case study of Surabaya, Indonesia","authors":"Ronan McDermott ,&nbsp;Saut Sagala ,&nbsp;Nurulitha Andini Susetyo ,&nbsp;Akhirul Insan ,&nbsp;William Diondi Parasian Harahap ,&nbsp;Annisaa Indrarini ,&nbsp;Danang Azhari","doi":"10.1016/j.pdisas.2025.100430","DOIUrl":"10.1016/j.pdisas.2025.100430","url":null,"abstract":"<div><div>There is growing policy consensus around the need for development to be risk-informed. In parallel, digital technologies are increasingly deployed to enhance participation within a wide range of policy domains, particularly in urban settings. While participation is considered essential to the timely and accurate identification and communication of risks with diverse stakeholders, the role of digital technologies with a participatory element in enabling risk-informed development is under-researched. This study identifies the factors that potentially enable digital participation platforms to contribute to risk-informed development based on an illustrative case study of Bulak District, Surabaya. Technology-related factors include the complementarity between digital platforms, citizen access to platforms, and aligned risk- and development -related policymaking and implementation processes. However, non-technological factors are equally, if not more, critical to digital participatory platforms' role in advancing risk-informed development. These include the risk awareness of participants, as well as the power relations that determine the design of such platforms and the ultimate translation into development planning of their outputs. Aligning regulatory frameworks for risk management and development, integrating digital tools at local and national levels, and improving the availability of disaster risk data are critical to digital participation platforms' role in promoting risk-informed development.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100430"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving the assessment of volcanic risk from in-situ vulnerability studies: A methodological approach through the case study of the Ollagüe volcano, northern Chile","authors":"Alfredo Esquivel ,&nbsp;Poullette Ortiz ,&nbsp;Mauricio Rivera ,&nbsp;Tom Gonzalez ,&nbsp;Idir Bascuñán ,&nbsp;María-Paz Reyes-Hardy ,&nbsp;Yuvineza Gómez-Leyton ,&nbsp;Amiel Nieto-Torres ,&nbsp;Felipe Aguilera ,&nbsp;Pablo Salazar","doi":"10.1016/j.pdisas.2025.100428","DOIUrl":"10.1016/j.pdisas.2025.100428","url":null,"abstract":"<div><div>Volcanological studies in the Central Volcanic Zone of the Andes (CVZA) started in the 1970s and 80s. However, research on volcanic risk only increased over recent years. Specifically, in the volcanoes of northern Chile, few extant studies have focused on compiling the limited hazard and vulnerability data available from small villages located nearby. Risk assessment strategies considering vulnerability analysis have primarily focused on the physical components, whereas few works have considered vulnerability in its social, territorial, and economic dimensions. To evaluate risk dimensions around the Ollagüe volcano (Antofagasta, Chile), we integrate the analysis of elements at risk, that is, the semi-quantitative and qualitative vulnerabilities of Ollagüe, Amincha, Quebrada del Inca, and Coska villages, to volcanic hazards. The findings provide a comprehensive view of volcanic risk through the creation of several thematic volcanic risk maps, for example, extremely low social and physical risk pertains to Amincha, Coska, and Quebrada del Inca villages, whereas moderate social and low physical risk pertains to Ollagüe village. This study and the maps obtained could be extremely useful and potentially used by government institutions in charge of developing emergency and evacuation plans for disasters.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100428"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deploying a GIS-based decision model for disaster management support bases (DMSBs) siting in urban environments based on ordered weighted average (OWA) procedure","authors":"Ghasem Alihosseini ,&nbsp;Mehdi Gholamalifard ,&nbsp;Parviz Jokar ,&nbsp;Zahra Barzegar ,&nbsp;Zohreh Hesami","doi":"10.1016/j.pdisas.2025.100434","DOIUrl":"10.1016/j.pdisas.2025.100434","url":null,"abstract":"<div><div>The establishment of Disaster Management Support Bases (DMSBs) is becoming increasingly essential due to the rapid expansion of urban populations and the geographical positioning of Iran's cities in high-risk areas, such as earthquake-prone zones. This study aimed to identify appropriate locations for DMSBs within Region 1 of the Tehran Municipality. In this process, 26 environmental factors derived from prior research on urban disaster management were identified and categorized into five groups: urban texture, transportation, proximity (compatibility), non-proximity (incompatibility), and topography/seismicity. The factors were standardized to ensure comparability by converting different computational units into uniform values. Additionally, their relative weights were determined using the Analytical Hierarchy Process (AHP) method. Subsequent to this, Ordered Weighted Averaging (OWA) modeling was employed, applying various scenarios such as AND, OR, and Weighted Linear Combination (WLC). Through this approach, order weights allowed for controlling the trade-off between factors and varying levels of risk-taking. The next phase of the study involved evaluating DMSB site suitability using zonal land suitability (ZLS) assessments. The findings identified 17 suitable zones for DMSB construction. Following detailed field inspections, five zones were selected as optimal sites spanning different districts. An analysis of the results highlighted that, in contrast to the WLC method, OWA offers a broader range of solutions by enabling adjustments to risk levels and compensation across factors. The study concludes that the decision-making rules and methodology applied in this research are valuable and adaptable for future investigations into suitable sites for DMSBs. OWA has also significantly contributed to disaster knowledge production by providing a versatile, theoretically rich, and practically applicable framework for aggregating information, supporting decision making, and advancing research across multiple scientific and engineering disciplines.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100434"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Female farmers facing food insecurity and climate change vulnerability in rural area","authors":"Palupi Lindiasari Samputra","doi":"10.1016/j.pdisas.2025.100437","DOIUrl":"10.1016/j.pdisas.2025.100437","url":null,"abstract":"<div><div>Frequent lousy weather impacts the prevalence of food insecurity among women farmers and makes the agricultural sector more vulnerable to climate change. Detection of food insecurity due to climate change vulnerability using a quantitative survey method of 150 female farming households in Sleman. Based on data analysis using the FIES questionnaire and multinominal regression, 63 % of female farmers reported experiencing food insecurity, 24 % reported experiencing mild food insecurity, and the remaining 13 % reported experiencing moderate food insecurity. The frequent exposure to drought in agriculture experienced by women farmers and their ability to respond to the impacts of climate change influence the risk of food insecurity. Women farmers must have the right human, social, financial, and physical resources to adapt. Due to repeated exposure to drought, advanced age, farmers burdened with land rental costs, and lack of participation in farmers' associations tend to experience moderate food insecurity. Other contributing factors are greater remittance dependence and meager agricultural income (&lt; IDR 500 thousand per month). On the other hand, if they can earn a monthly salary of IDR 2 million, own a house, and complete at least primary education, their chances of achieving food security will increase significantly.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100437"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From vulnerability to resilience: Examining the Sister Village program's approach to volcanic disaster risk reduction using the DROP model","authors":"Dina Ruslanjari ,&nbsp;Retno Argian Pangesti Putri ,&nbsp;Diana Puspitasari ,&nbsp;Retnadi Heru Djatmiko ,&nbsp;Ryo Tanaka ,&nbsp;Hasri Alvionita Hasan ,&nbsp;Taaj Nabil ,&nbsp;Nabilla Auriel Fajarian","doi":"10.1016/j.pdisas.2025.100439","DOIUrl":"10.1016/j.pdisas.2025.100439","url":null,"abstract":"<div><div>This study examines the implementation of the Sister Village Program in enhancing community-based disaster resilience in Umbulharjo Village, located in the eruption-prone zone of Merapi Volcano. Using the Disaster Resilience of Place (DROP) Model approach, this research evaluates the key elements that shape disaster resilience, including mitigation, preparedness, adaptive capacity, and inter-village collaboration. The DROP Model integrates various components that influence a region's ability to manage, respond to, and recover from disasters, covering ecological, social, economic, institutional, and community competence aspects. This approach provides a comprehensive overview of a region's resilience to disasters and offers practical guidance for improving community and regional resilience. The study highlights the importance of planned mitigation and preparedness, and active community participation in reducing disaster impacts and accelerating post-disaster recovery. The Sister Village Program which involves knowledge exchange, infrastructure improvement, and strengthening the adaptive capacity of both villages, serves as an effective disaster risk reduction model. The findings also show that collaboration between villages and institutions, along with the strengthening of social infrastructure, play a crucial role in enhancing disaster resilience. The results of this study identify that by integrating these elements, the Sister Village Program can create stronger and more sustainable long-term disaster resilience. This model aligns with the Sustainable Development Goals (SDGs), particularly those related to disaster risk reduction and community capacity building. Thus, the Sister Village Program in Umbulharjo Village demonstrates significant potential for building sustainable resilience through an inclusive and collaborative community-based approach.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100439"},"PeriodicalIF":2.6,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}