Pub Date : 2025-12-01Epub Date: 2025-09-01DOI: 10.1016/j.pdisas.2025.100465
Bo Shen , Lishuo Guo , Shuai Cui , Yi Peng
Shocks from natural disasters and emergencies broadly affect residents' perceptions of uncertainty, dampening their consumption intentions. Yet, few studies have examined the relationship between community resilience and residents' consumption intentions. This study explored the roles of physical spatial resilience and social capital resilience in influencing residents' consumption intentions with survey data from residents in the Beijing-Tianjin-Hebei region of China. The results generated from structural equation modeling indicate that both social capital resilience and physical space resilience significantly influence residents' consumption intentions, with social capital resilience having a stronger indirect effect and physical spatial resilience exhibiting a more pronounced direct effect. These findings highlight the value of resilient community development in mitigating uncertainty and fostering consumption.
{"title":"Association of community resilience and residents' consumption intentions: A study in the Beijing-Tianjin-Hebei region of China","authors":"Bo Shen , Lishuo Guo , Shuai Cui , Yi Peng","doi":"10.1016/j.pdisas.2025.100465","DOIUrl":"10.1016/j.pdisas.2025.100465","url":null,"abstract":"<div><div>Shocks from natural disasters and emergencies broadly affect residents' perceptions of uncertainty, dampening their consumption intentions. Yet, few studies have examined the relationship between community resilience and residents' consumption intentions. This study explored the roles of physical spatial resilience and social capital resilience in influencing residents' consumption intentions with survey data from residents in the Beijing-Tianjin-Hebei region of China. The results generated from structural equation modeling indicate that both social capital resilience and physical space resilience significantly influence residents' consumption intentions, with social capital resilience having a stronger indirect effect and physical spatial resilience exhibiting a more pronounced direct effect. These findings highlight the value of resilient community development in mitigating uncertainty and fostering consumption.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100465"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049085","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}
Enhancing hospital resilience is essential for mitigating the impact of crises, such as pandemics, on healthcare systems. This study investigates the strategic role of Customer Relationship Management (CRM) in strengthening hospital networks' organizational resilience. A conceptual framework was developed to explore the impact of CRM components—customer knowledge management and CRM-based technology—on critical organizational capabilities such as innovation, dynamism, and flexibility. The mediating roles of risk and crisis management in fostering resilience are also examined. Using a mixed-methods approach, qualitative data from expert interviews identified resilience dimensions, while quantitative data from 169 hospital staff members were analyzed using structural equation modeling (SEM). The findings highlight that CRM-based strategies significantly enhance resilience by promoting organizational adaptability and effective crisis management. This study provides actionable insights for healthcare managers to implement CRM technologies, advancing disaster preparedness, response, and recovery, and contributing to the implementation of the efficient framework for disaster risk reduction.
{"title":"Integrating customer relationship management and organizational capabilities for hospital resilience: A framework for disaster preparedness and recovery","authors":"Roghayeh soleimani , Davood Shishebori , Mohammad Saleh Owlia , Hassan Khademi Zare","doi":"10.1016/j.pdisas.2025.100488","DOIUrl":"10.1016/j.pdisas.2025.100488","url":null,"abstract":"<div><div>Enhancing hospital resilience is essential for mitigating the impact of crises, such as pandemics, on healthcare systems. This study investigates the strategic role of Customer Relationship Management (CRM) in strengthening hospital networks' organizational resilience. A conceptual framework was developed to explore the impact of CRM components—customer knowledge management and CRM-based technology—on critical organizational capabilities such as innovation, dynamism, and flexibility. The mediating roles of risk and crisis management in fostering resilience are also examined. Using a mixed-methods approach, qualitative data from expert interviews identified resilience dimensions, while quantitative data from 169 hospital staff members were analyzed using structural equation modeling (SEM). The findings highlight that CRM-based strategies significantly enhance resilience by promoting organizational adaptability and effective crisis management. This study provides actionable insights for healthcare managers to implement CRM technologies, advancing disaster preparedness, response, and recovery, and contributing to the implementation of the efficient framework for disaster risk reduction.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100488"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623019","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}
Pub Date : 2025-12-01Epub Date: 2025-08-15DOI: 10.1016/j.pdisas.2025.100460
Daile Zhang , Mary Ann Cooper , Ronald L. Holle , Mitchell Guthrie
In some countries, lightning causes more deaths than other weather events more commonly thought of as disasters, so there is a need for safe refuges during thunderstorms. Lightning also occurs with volcanoes, hurricanes, tornadoes and other disasters so that disaster refuges in most areas should have lightning protection systems designed consistent with international standards. Of special concern is that the term ‘shelter’ in the U.S. and some other English-speaking countries is associated with many small structures that are nearly always unsafe from lightning. Factors that contribute to lightning risk are listed, as well as the importance of recognizing the mechanisms of lightning injury. Photographic examples are included of structures that are unsafe from lightning in several countries. How to make such structures safe from lightning is described as well as a brief overview of lightning injury prevention.
{"title":"Use caution with the word ‘shelter’ in lightning safety","authors":"Daile Zhang , Mary Ann Cooper , Ronald L. Holle , Mitchell Guthrie","doi":"10.1016/j.pdisas.2025.100460","DOIUrl":"10.1016/j.pdisas.2025.100460","url":null,"abstract":"<div><div>In some countries, lightning causes more deaths than other weather events more commonly thought of as disasters, so there is a need for safe refuges during thunderstorms. Lightning also occurs with volcanoes, hurricanes, tornadoes and other disasters so that disaster refuges in most areas should have lightning protection systems designed consistent with international standards. Of special concern is that the term ‘shelter’ in the U.S. and some other English-speaking countries is associated with many small structures that are nearly always unsafe from lightning. Factors that contribute to lightning risk are listed, as well as the importance of recognizing the mechanisms of lightning injury. Photographic examples are included of structures that are unsafe from lightning in several countries. How to make such structures safe from lightning is described as well as a brief overview of lightning injury prevention.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100460"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902586","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}
Pub Date : 2025-12-01Epub Date: 2025-11-20DOI: 10.1016/j.pdisas.2025.100487
Vishal Kumar , Frank Hopfgartner , Pekka M. Rossi , Mourad Oussalah
This study analyzes public narratives, stakeholder communication, and media framing during the Nokia water contamination crisis (2007–2008), Finland’s largest waterborne epidemic. Especially, using data from online forum (Suomi24), news reports, and official audits, we apply a new aspect-based sentiment analysis combined with thematic clustering over a 3-month crisis timeline period to trace the evolution of public perception in response to crisis events and stakeholder actions. The findings reveal that positive sentiment clusters were driven by visible mitigation efforts and hygiene-related practices, while negative sentiments were centered around contaminated water, institutional mistrust, and health fears. Media analysis showed minimal bias, with most coverage remaining factual, though occasional sensationalism could have amplified public anxiety. Compared to previous institutional communication research, our findings provide a data-driven perspective on citizen discourse-based analysis, offering new insights into how digital platforms can serve as real-time indicators of public trust and emotional response. The study underscores the importance of timely, transparent, and coordinated communication and highlights the potential of aspect-based sentiment analysis as a tool for adaptive crisis management and comprehending stakeholder actions.
{"title":"Crisis communication and media influence during Nokia water contamination event","authors":"Vishal Kumar , Frank Hopfgartner , Pekka M. Rossi , Mourad Oussalah","doi":"10.1016/j.pdisas.2025.100487","DOIUrl":"10.1016/j.pdisas.2025.100487","url":null,"abstract":"<div><div>This study analyzes public narratives, stakeholder communication, and media framing during the Nokia water contamination crisis (2007–2008), Finland’s largest waterborne epidemic. Especially, using data from online forum (Suomi24), news reports, and official audits, we apply a new aspect-based sentiment analysis combined with thematic clustering over a 3-month crisis timeline period to trace the evolution of public perception in response to crisis events and stakeholder actions. The findings reveal that <em>positive sentiment clusters</em> were driven by visible mitigation efforts and hygiene-related practices, while <em>negative sentiments</em> were centered around contaminated water, institutional mistrust, and health fears. Media analysis showed minimal bias, with most coverage remaining factual, though occasional sensationalism could have amplified public anxiety. Compared to previous institutional communication research, our findings provide a data-driven perspective on citizen discourse-based analysis, offering new insights into how digital platforms can serve as real-time indicators of public trust and emotional response. The study underscores the importance of timely, transparent, and coordinated communication and highlights the potential of aspect-based sentiment analysis as a tool for adaptive crisis management and comprehending stakeholder actions.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100487"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145578748","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}
Amid increasing extreme weather events driven by global climate change, pre-emptive emergency drills are vital for strengthening disaster resilience. This paper focuses on risk identification and prevention in multi-level flood and typhoon prevention emergency drills, aiming to achieve effective risk management across administrative levels. Through literature review and expert consultation, 24 risk factors were hierarchically identified. A quantitative risk assessment model was developed by integrating the risk matrix and cloud model eigenvalues. The results show that risks are the most serious at municipal-level drills, with 20 risk factors (79.17 % of the total) at Level-III and above, decreasing at lower administrative levels (where risk level are categorized into Level-I (Major), Level-II (Large), Level-III (General), and Level-IV (Low) based on the risk matrix integrating likelihood and consequence levels, and Level-III and above risks may trigger resource wastage, drill failure, or even personnel casualties). Temporally, 39 risk factors at Level-III and above were concentrated in preparation stages across all administrative levels, declining to 3 such risk factors during rectification stage. Spatially, the number of risk factors peaked during the municipal-level and county-level preparation stages (11 risk factors respectively at Level-III and above), with their quantity gradually decreasing as the administrative level decreases and drill stages advance. Based on these findings, a systematic risk prevention matrix is proposed to offer targeted guidance for multi-level flood and typhoon prevention emergency drills in addressing climate change-induced disaster challenges.
{"title":"Risk identification and prevention of multi-level flood and typhoon prevention emergency drills","authors":"Feifeng Cao , Changhui Chen , Conglin Zhang , Jianwu Xing","doi":"10.1016/j.pdisas.2025.100458","DOIUrl":"10.1016/j.pdisas.2025.100458","url":null,"abstract":"<div><div>Amid increasing extreme weather events driven by global climate change, pre-emptive emergency drills are vital for strengthening disaster resilience. This paper focuses on risk identification and prevention in multi-level flood and typhoon prevention emergency drills, aiming to achieve effective risk management across administrative levels. Through literature review and expert consultation, 24 risk factors were hierarchically identified. A quantitative risk assessment model was developed by integrating the risk matrix and cloud model eigenvalues. The results show that risks are the most serious at municipal-level drills, with 20 risk factors (79.17 % of the total) at Level-III and above, decreasing at lower administrative levels (where risk level are categorized into Level-I (Major), Level-II (Large), Level-III (General), and Level-IV (Low) based on the risk matrix integrating likelihood and consequence levels, and Level-III and above risks may trigger resource wastage, drill failure, or even personnel casualties). Temporally, 39 risk factors at Level-III and above were concentrated in preparation stages across all administrative levels, declining to 3 such risk factors during rectification stage. Spatially, the number of risk factors peaked during the municipal-level and county-level preparation stages (11 risk factors respectively at Level-III and above), with their quantity gradually decreasing as the administrative level decreases and drill stages advance. Based on these findings, a systematic risk prevention matrix is proposed to offer targeted guidance for multi-level flood and typhoon prevention emergency drills in addressing climate change-induced disaster challenges.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100458"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144866274","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}
Urban wetlands provide vital ecosystem services such as habitat provision, water purification, flood regulation, climate regulation, food provision, and recreation. However, rapid urban expansion has placed tremendous pressure on urban wetland environments, leading to their shrinkage. East Kolkata Wetland (EKW), a Ramsar site near urban area noted for its high biological diversity. Moreover, this wetland also acts as retardation basin for managing flooding in the neighboring areas and purifies a significant portion of the wastewater received from the city of Kolkata through application of local ecological knowledge (LEK). Despite its high significance, the wetland is facing different threats in terms of encroachment, pollution etc. This study aims to assess possible future changes of the East Kolkata Wetland (EKW) through integrating spatiotemporal data with socio-legal data over the past 23 years. The study uses Shannon's entropy model together with the number of litigation cases. The results indicate that the entropy value increased from 0.394 in 1993 to 0.413 in 2023, suggesting a more dispersed distribution of development, primarily towards the east. This shift is contributing to the conversion of the East Kolkata Wetlands (EKW) into real estate developments. The study also reveals that 95 % of litigation cases in the EKW are related to unauthorized construction and the filling of water bodies. These unsustainable developments can increase Kolkata's exposure to more severe flooding together with loss of food security and biodiversity. The research provides valuable insights for policymakers by offering spatial zones of sensitivity depending upon categories of conversion and suggest steering urban growth away from the east, which could minimize degradation of the EKW and be crucial for Kolkata's long-term sustainability.
{"title":"Integrated approach to evaluate the role of wetland for disaster risk reduction and human well-being: A case study of East Kolkata wetland","authors":"Amit Chatterjee , Shamik Chakraborty , Pankaj Kumar , Shib Sankar Bagdi , Gowhar Meraj","doi":"10.1016/j.pdisas.2025.100490","DOIUrl":"10.1016/j.pdisas.2025.100490","url":null,"abstract":"<div><div>Urban wetlands provide vital ecosystem services such as habitat provision, water purification, flood regulation, climate regulation, food provision, and recreation. However, rapid urban expansion has placed tremendous pressure on urban wetland environments, leading to their shrinkage. East Kolkata Wetland (EKW), a Ramsar site near urban area noted for its high biological diversity. Moreover, this wetland also acts as retardation basin for managing flooding in the neighboring areas and purifies a significant portion of the wastewater received from the city of Kolkata through application of local ecological knowledge (LEK). Despite its high significance, the wetland is facing different threats in terms of encroachment, pollution etc. This study aims to assess possible future changes of the East Kolkata Wetland (EKW) through integrating spatiotemporal data with socio-legal data over the past 23 years. The study uses Shannon's entropy model together with the number of litigation cases. The results indicate that the entropy value increased from 0.394 in 1993 to 0.413 in 2023, suggesting a more dispersed distribution of development, primarily towards the east. This shift is contributing to the conversion of the East Kolkata Wetlands (EKW) into real estate developments. The study also reveals that 95 % of litigation cases in the EKW are related to unauthorized construction and the filling of water bodies. These unsustainable developments can increase Kolkata's exposure to more severe flooding together with loss of food security and biodiversity. The research provides valuable insights for policymakers by offering spatial zones of sensitivity depending upon categories of conversion and suggest steering urban growth away from the east, which could minimize degradation of the EKW and be crucial for Kolkata's long-term sustainability.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100490"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693244","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}
This study examined health issues recorded by Emergency Medical Teams during four large-scale disasters in Japan (2019–2021) and their relation to the disaster. Logistic regression analyses were conducted on data from the Japan Surveillance in Post-Extreme Emergencies and Disasters system to examine associations between specific health issues and their relation to the disaster. Of the 822 health consultations recorded, 17.5 %, 51.3 %, and 31.1 % reported health issues directly related, indirectly related, and unrelated to the disaster, respectively. Minor injury (adjusted odds ratio [AOR] = 4.65, 95 % confidence interval [CI] = 2.75–7.86), wound (AOR = 5.64, 95 % CI = 3.31–9.60), and moderate injury (AOR = 35.97, 95 % CI = 5.47–236.63) were significantly associated with a direct relation to the disaster. Hypertension (AOR = 1.69, 95 % CI = 1.05–2.71), disaster-related stress symptoms (AOR = 2.32, 95 % CI = 1.37–3.90), and treatment interruption (AOR = 2.05, 95 % CI = 1.07–3.91) were significantly associated with an indirect relation to the disaster. Fever (AOR = 2.89, 95 % CI = 1.45–5.39) and skin disease (AOR = 2.43, 95 % CI = 1.34–4.42) were significantly associated with a non-relation to the disaster. These findings highlight the multifaceted nature of health issues following disasters, emphasizing the need for response strategies that address not only direct health effects, but also indirectly related and non-disaster-related health issues.
本研究调查了紧急医疗队在日本（2019-2021年）四次大规模灾害期间记录的健康问题及其与灾害的关系。对来自日本极端紧急情况和灾害后监测系统的数据进行了逻辑回归分析，以检查特定健康问题与其与灾害的关系之间的关联。在记录在案的822次健康咨询中，分别有17.5%、51.3%和31.1%报告了与灾难直接相关、间接相关和无关的健康问题。轻微损伤（调整优势比[AOR] = 4.65, 95%可信区间[CI] = 2.75 ~ 7.86）、伤口（AOR = 5.64, 95% CI = 3.31 ~ 9.60）和中度损伤（AOR = 35.97, 95% CI = 5.47 ~ 236.63）与灾害直接相关。高血压（AOR = 1.69, 95% CI = 1.05-2.71）、灾难相关应激症状（AOR = 2.32, 95% CI = 1.37-3.90）和治疗中断（AOR = 2.05, 95% CI = 1.07-3.91）与灾难的间接关系显著相关。发热（AOR = 2.89, 95% CI = 1.45-5.39）和皮肤病（AOR = 2.43, 95% CI = 1.34-4.42）与灾难无关。这些调查结果突出了灾后健康问题的多面性，强调需要制定应对战略，不仅处理直接健康影响，而且处理间接相关和与灾害无关的健康问题。
{"title":"Health issues treated by emergency medical teams following natural disasters in Japan and their relation to the disaster","authors":"Ami Fukunaga , Fu Tarui , Takahito Yoshida , Inn Kynn Khaing , Odgerel Chimed-Ochir , Yui Yumiya , Akihiro Taji , Kouki Akahoshi , Yoshiki Toyokuni , Kayako Chishima , Seiji Mimura , Akinori Wakai , Hisayoshi Kondo , Yuichi Koido , Tatsuhiko Kubo","doi":"10.1016/j.pdisas.2025.100468","DOIUrl":"10.1016/j.pdisas.2025.100468","url":null,"abstract":"<div><div>This study examined health issues recorded by Emergency Medical Teams during four large-scale disasters in Japan (2019–2021) and their relation to the disaster. Logistic regression analyses were conducted on data from the Japan Surveillance in Post-Extreme Emergencies and Disasters system to examine associations between specific health issues and their relation to the disaster. Of the 822 health consultations recorded, 17.5 %, 51.3 %, and 31.1 % reported health issues directly related, indirectly related, and unrelated to the disaster, respectively. Minor injury (adjusted odds ratio [AOR] = 4.65, 95 % confidence interval [CI] = 2.75–7.86), wound (AOR = 5.64, 95 % CI = 3.31–9.60), and moderate injury (AOR = 35.97, 95 % CI = 5.47–236.63) were significantly associated with a direct relation to the disaster. Hypertension (AOR = 1.69, 95 % CI = 1.05–2.71), disaster-related stress symptoms (AOR = 2.32, 95 % CI = 1.37–3.90), and treatment interruption (AOR = 2.05, 95 % CI = 1.07–3.91) were significantly associated with an indirect relation to the disaster. Fever (AOR = 2.89, 95 % CI = 1.45–5.39) and skin disease (AOR = 2.43, 95 % CI = 1.34–4.42) were significantly associated with a non-relation to the disaster. These findings highlight the multifaceted nature of health issues following disasters, emphasizing the need for response strategies that address not only direct health effects, but also indirectly related and non-disaster-related health issues.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100468"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046181","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}
Pub Date : 2025-12-01Epub Date: 2025-11-21DOI: 10.1016/j.pdisas.2025.100492
Rosemary R. Seva , Alvin Neil A. Gutierrez , Hero Rafael Arante , Alvin Chua , Maria Antonette C. Roque , Edwin Sybingco
Flooding is a major natural hazard whose frequency and severity have increased due to climate change. Although technological advances have improved flood monitoring systems, their usability remains a critical but often overlooked aspect. FloodCast is a sensor-based flood monitoring system that enables users to track real-time water levels in flood-prone areas and predict flood trends for next three hours. User requirements were gathered from individuals with firsthand experience of flooding. FloodCast's output aims to support decision-making, particularly in identifying safe routes during heavy rainfall. Data were collected through two focus group discussions with eight participants each and a survey of 76 respondents. Through iterative prototyping—informed by the user needs, an initial interface was designed. Initial testing that involved 17 participants revealed user confusion stemming from unclear visual cues and navigation, 35 % of which did not attain the benchmark score of System Usability Scale (SUS). After refining the design (e.g., simplifying data visualization, improving accessibility), the final prototype was tested with 21 participants where 100 % passed the SUS benchmark score. Users provided favorable evaluations of the redesigned interface, highlighting the clarity of the flood prediction graph, the usefulness of the reference images, and the value of the 15-min update feature.
{"title":"FloodCast: A user-centered flood monitoring system to enhance user engagement","authors":"Rosemary R. Seva , Alvin Neil A. Gutierrez , Hero Rafael Arante , Alvin Chua , Maria Antonette C. Roque , Edwin Sybingco","doi":"10.1016/j.pdisas.2025.100492","DOIUrl":"10.1016/j.pdisas.2025.100492","url":null,"abstract":"<div><div>Flooding is a major natural hazard whose frequency and severity have increased due to climate change. Although technological advances have improved flood monitoring systems, their usability remains a critical but often overlooked aspect. FloodCast is a sensor-based flood monitoring system that enables users to track real-time water levels in flood-prone areas and predict flood trends for next three hours. User requirements were gathered from individuals with firsthand experience of flooding. FloodCast's output aims to support decision-making, particularly in identifying safe routes during heavy rainfall. Data were collected through two focus group discussions with eight participants each and a survey of 76 respondents. Through iterative prototyping—informed by the user needs, an initial interface was designed. Initial testing that involved 17 participants revealed user confusion stemming from unclear visual cues and navigation, 35 % of which did not attain the benchmark score of System Usability Scale (SUS). After refining the design (e.g., simplifying data visualization, improving accessibility), the final prototype was tested with 21 participants where 100 % passed the SUS benchmark score. Users provided favorable evaluations of the redesigned interface, highlighting the clarity of the flood prediction graph, the usefulness of the reference images, and the value of the 15-min update feature.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100492"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145623020","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}
Pub Date : 2025-12-01Epub Date: 2025-11-05DOI: 10.1016/j.pdisas.2025.100482
Nurul Hidayati Rofiah , Norimune Kawai
Students with disabilities are among the most vulnerable during disasters, yet they are often excluded from disaster risk reduction (DRR) initiatives. Early disaster education offers significant benefits for inclusive preparedness. This study examined DRR education practices in inclusive primary schools, identified effective strategies, and evaluated the impact on students with and without disabilities. A quasi-experimental design was applied in nine inclusive schools in Yogyakarta, with students assigned to control and experimental groups. Questionnaires adapted from validated instruments measured knowledge, risk perception, awareness, and readiness. Statistical analysis showed significant differences between students who received the program and those who did not. The findings indicate that disaster education enhances preparedness among students with disabilities and adds to limited evidence on inclusive DRR in low- and middle-income countries. The study demonstrates the feasibility of disaster education in inclusive settings and the importance of adapting content and methods to diverse learners. Several limitations should be noted. The study involved a relatively small sample from one province, limiting generalizability. It included only students with mild intellectual disabilities, leaving out those with sensory, motor, or more complex disabilities. In addition, it assessed short-term outcomes only, without examining medium- or long-term effects. These limitations should be considered when interpreting the results. Future research should include larger and more diverse samples, incorporate multiple disability groups, and explore alternative teaching methods such as peer tutoring, songs, and games. Ultimately, inclusive DRR will not only strengthen resilience but also ensure the personal safety of students with disabilities.
{"title":"Integrating disability-inclusive disaster education in primary schools: A CASE from Yogyakarta, Indonesia","authors":"Nurul Hidayati Rofiah , Norimune Kawai","doi":"10.1016/j.pdisas.2025.100482","DOIUrl":"10.1016/j.pdisas.2025.100482","url":null,"abstract":"<div><div>Students with disabilities are among the most vulnerable during disasters, yet they are often excluded from disaster risk reduction (DRR) initiatives. Early disaster education offers significant benefits for inclusive preparedness. This study examined DRR education practices in inclusive primary schools, identified effective strategies, and evaluated the impact on students with and without disabilities. A quasi-experimental design was applied in nine inclusive schools in Yogyakarta, with students assigned to control and experimental groups. Questionnaires adapted from validated instruments measured knowledge, risk perception, awareness, and readiness. Statistical analysis showed significant differences between students who received the program and those who did not. The findings indicate that disaster education enhances preparedness among students with disabilities and adds to limited evidence on inclusive DRR in low- and middle-income countries. The study demonstrates the feasibility of disaster education in inclusive settings and the importance of adapting content and methods to diverse learners. Several limitations should be noted. The study involved a relatively small sample from one province, limiting generalizability. It included only students with mild intellectual disabilities, leaving out those with sensory, motor, or more complex disabilities. In addition, it assessed short-term outcomes only, without examining medium- or long-term effects. These limitations should be considered when interpreting the results. Future research should include larger and more diverse samples, incorporate multiple disability groups, and explore alternative teaching methods such as peer tutoring, songs, and games. Ultimately, inclusive DRR will not only strengthen resilience but also ensure the personal safety of students with disabilities.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100482"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145528324","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}
Floods are among the most frequent and destructive natural hazards triggered by snowmelt, intense and prolonged precipitation. This study aimed to delineate flood-prone areas across Texas, USA, by integrating geospatial data with a multi-criteria decision analysis (MCDA) approach. The Analytical Hierarchy Process (AHP) was employed within this framework to evaluate systematically and weight key flood conditioning factors. The factor weights in the AHP were established based on insights from expert evaluations, literature, and feedback from relevant public institutions. Flood susceptibility mapping effectiveness was assessed through the Receiver Operating Characteristic (ROC) curve, focusing on the Area under the Curve (AUC) metric. A multi-criteria weighted overlay method was used to combine various geospatial layers. The flood susceptibility map was validated using historical storm event data from the National Centers for Environmental Information (NCEI), covering the period from 1985 to the present. The final susceptibility map achieved a high AUC score of 0.90, reflecting a robust agreement between the model's predictions and real-world flood events. The most flood-vulnerable basins include the Sulphur, Cypress, Trinity, Neches-Trinity, Sabine, Guadalupe, and Neches basins, which stand out as the most at-risk areas identified in the analysis. The spatial analysis of the flood susceptibility map revealed that approximately 62 % of the study area falls under high flood risk. Thus, priority should be given to implementing targeted flood management and mitigation strategies in the high-risk river basins.
{"title":"Integrating multi-criteria decision analysis and geospatial data for flood susceptibility mapping in Texas, USA","authors":"Birhan Getachew Tikuye , Ram Lakhan Ray , Nimal Shantha Abeysingha , Sanjita Gurau","doi":"10.1016/j.pdisas.2025.100462","DOIUrl":"10.1016/j.pdisas.2025.100462","url":null,"abstract":"<div><div>Floods are among the most frequent and destructive natural hazards triggered by snowmelt, intense and prolonged precipitation. This study aimed to delineate flood-prone areas across Texas, USA, by integrating geospatial data with a multi-criteria decision analysis (MCDA) approach. The Analytical Hierarchy Process (AHP) was employed within this framework to evaluate systematically and weight key flood conditioning factors. The factor weights in the AHP were established based on insights from expert evaluations, literature, and feedback from relevant public institutions. Flood susceptibility mapping effectiveness was assessed through the Receiver Operating Characteristic (ROC) curve, focusing on the Area under the Curve (AUC) metric. A multi-criteria weighted overlay method was used to combine various geospatial layers. The flood susceptibility map was validated using historical storm event data from the National Centers for Environmental Information (NCEI), covering the period from 1985 to the present. The final susceptibility map achieved a high AUC score of 0.90, reflecting a robust agreement between the model's predictions and real-world flood events. The most flood-vulnerable basins include the Sulphur, Cypress, Trinity, Neches-Trinity, Sabine, Guadalupe, and Neches basins, which stand out as the most at-risk areas identified in the analysis. The spatial analysis of the flood susceptibility map revealed that approximately 62 % of the study area falls under high flood risk. Thus, priority should be given to implementing targeted flood management and mitigation strategies in the high-risk river basins.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"28 ","pages":"Article 100462"},"PeriodicalIF":3.8,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907283","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}
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