International journal of disaster risk reduction最新文献_第8页

Analyzing common social and physical features of flash-flood vulnerability in urban areas

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-28 DOI: 10.1016/j.ijdrr.2025.105437

Natalie Coleman, Allison Clarke, Miguel Esparza, Ali Mostafavi

{"title":"Analyzing common social and physical features of flash-flood vulnerability in urban areas","authors":"Natalie Coleman, Allison Clarke, Miguel Esparza, Ali Mostafavi","doi":"10.1016/j.ijdrr.2025.105437","DOIUrl":"10.1016/j.ijdrr.2025.105437","url":null,"abstract":"<div><div>Flash flooding events, with their intense and sudden nature, present unique challenges for disaster researchers and emergency planners. To quantify the extent to which areas impacted by flash flooding share similar social and physical features, the research uses community-scale open-source and crowdsourced data and k-means clustering. Crowdsourced data helps reveal the social and physical vulnerabilities of a community to flash flood impacts which could better inform decision-makers who must allocate limited resources, have a spatial understanding, and aim to reduce future effects of flash floods. The research evaluates the impacts of Tropical Storm Imelda on Houston Metropolitan and Hurricane Ida on New York City. It develops a combined flash flood impact index based on FEMA claims, 311 calls, and Waze traffic reports which is able to capture a combination of crowdsourced data for the societal impact of flash flooding. K-means clustering evaluates a community's socio-demographic, social capital, and physical features to the combined flood impact index. To ensure accessibility and replicability to different types of communities, our research uses publicly available datasets to understand how socio-demographic data, social capital, and physical connectivity and development affect flash flood resilience. The findings provide a framework to identify potential flood impacts using historic data.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"122 ","pages":"Article 105437"},"PeriodicalIF":4.2,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815619","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}

引用次数: 0

Legal and ethical considerations for demand-driven data collection and AI-based analysis in flood response

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-28 DOI: 10.1016/j.ijdrr.2025.105441

Carolin Gilga , Christoph Hochwarter , Luisa Knoche , Sebastian Schmidt , Gudrun Ringler , Marc Wieland , Bernd Resch , Ben Wagner

引用次数: 0

Navigating destiny: A study of factors determining participation in artisanal fisheries insurance, level of risk and the dynamics of risk management

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-26 DOI: 10.1016/j.ijdrr.2025.105434

Christian Larbi Ayisi , Gifty Sienso , Kezia Baidoo , Cecilia Asemah

{"title":"Navigating destiny: A study of factors determining participation in artisanal fisheries insurance, level of risk and the dynamics of risk management","authors":"Christian Larbi Ayisi , Gifty Sienso , Kezia Baidoo , Cecilia Asemah","doi":"10.1016/j.ijdrr.2025.105434","DOIUrl":"10.1016/j.ijdrr.2025.105434","url":null,"abstract":"<div><div>This study examines the complexities of fisheries insurance within fishing communities, focusing on fishermen's awareness, participation factors, and risk management strategies. Conducted in six Ghanaian fishing communities between April 20 and July 25, 2024, the research collected primary data on socioeconomic characteristics, risk factors, and insurance participation using a structured questionnaire. A probit model was employed to analyze the factors influencing enrollment in fisheries insurance, while descriptive statistics summarized other findings. Results show that 56.16 % of fishermen rely on savings, while only .36 % depend on friends and family. About 24.64 % use contract fishing to manage risk, while 14.49 % take loans and 4.35 % sell fishing assets. Key determinants of insurance participation include age, fishing experience, storage facility access and overfishing. The study also assessed risk levels and documents that drowning and accidents pose the highest risk (mean: 1.268), followed by long working hours (1.123) and consecutive workdays (1.228). Equipment failure has the lowest risk (.565). In conclusion, access to information, training, and financial resources is essential to improve participation in fisheries insurance programs.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"123 ","pages":"Article 105434"},"PeriodicalIF":4.2,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855094","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}

引用次数: 0

A conversational intelligent assistant for enhanced operational support in floodplain management with multimodal data

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-23 DOI: 10.1016/j.ijdrr.2025.105422

Vinay Pursnani , Yusuf Sermet , Ibrahim Demir

{"title":"A conversational intelligent assistant for enhanced operational support in floodplain management with multimodal data","authors":"Vinay Pursnani , Yusuf Sermet , Ibrahim Demir","doi":"10.1016/j.ijdrr.2025.105422","DOIUrl":"10.1016/j.ijdrr.2025.105422","url":null,"abstract":"<div><div>Floodplain management is crucial for mitigating flood risks and enhancing community resilience, yet floodplain managers often face significant challenges, including the complexity of data analysis, regulatory compliance, and effective communication with diverse stakeholders. This study introduces Floodplain Manager AI, an innovative artificial intelligence (AI) based virtual assistant designed to support floodplain managers in their decision-making processes and operations. Utilizing advanced large language models and semantic search techniques, the AI Assistant provides accurate, location-specific guidance tailored to the unique regulatory environments of different states. It is capable of interpreting Federal Emergency Management Agency (FEMA) flood maps through multimodal capabilities, allowing users to understand complex visual data and its implications for flood risk assessment. The AI Assistant also simplifies access to comprehensive floodplain management resources, enabling users to quickly find relevant information and streamline their workflows. Experimental evaluations demonstrated substantial improvements in accuracy and relevance of the AI Assistant's response, underscoring its effectiveness in addressing the specific needs of floodplain managers. By facilitating informed decision-making and promoting proactive measures, Floodplain Manager AI aims to enhance flood risk mitigation operations and support sustainable community development in the context of increasing flood events driven by climate change. Ultimately, this research highlights the transformative potential of AI technologies in improving floodplain management practices and fostering community resilience.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"122 ","pages":"Article 105422"},"PeriodicalIF":4.2,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791646","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}

引用次数: 0

Street-scale hydrodynamic estimation from social media videos: A systematic approach to urban floods data collection

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-21 DOI: 10.1016/j.ijdrr.2025.105419

Margherita Lombardo , Vincenzo Totaro , Francesco Chiaravalloti , Olga Petrucci

{"title":"Street-scale hydrodynamic estimation from social media videos: A systematic approach to urban floods data collection","authors":"Margherita Lombardo , Vincenzo Totaro , Francesco Chiaravalloti , Olga Petrucci","doi":"10.1016/j.ijdrr.2025.105419","DOIUrl":"10.1016/j.ijdrr.2025.105419","url":null,"abstract":"<div><div>An increasing number of evidence highlights how climate change and urbanization are contributing to exacerbate floods impacts. In this framework, flood modelling assumes a key role in supporting the analysis of floods dynamics, especially in urban areas. Recent advances in this topic enabled detailed street-level studies, offering significant potential for flood reconstruction, nowcasting, and forecasting. However, calibration and validation of hydrodynamic models face challenges due to limited availability of flood data. Recent studies highlighted the potential of social media as a valuable resource for urban flood analysis, yet significant challenges persist, particularly in leveraging videos data to retrieve floodwater characteristics, leading to the loss of a relevant amount of potentially useful information. In this paper, to tackle this issue, a five-step workflow for the systematic research and extraction of key hydrodynamic variables from flood-related videos uploaded on social media is proposed. The aim of this procedure is the retrieval of diffused and quality-controlled estimates of floodwater characteristics to support hydrodynamic modelling and dampening the gap due to the lack of field measurements. The workflow was tested to the flood occurred in 2020 in the city of Crotone (southern Italy). The results underscore the potential of the proposed procedure to provide detailed data for flood impact assessment, paving the way for improved street-level hydrodynamic studies and model validation. This approach not only could enhance the quality control of the dataset but also allows for the limitation of information loss, which is critical for supporting a broader distributed validation.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"122 ","pages":"Article 105419"},"PeriodicalIF":4.2,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820958","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}

引用次数: 0

Assessing road network risk performance in the United States: A standardized spatial risk analysis

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-21 DOI: 10.1016/j.ijdrr.2025.105418

Daniel Rivera-Royero , Miguel Jaller

{"title":"Assessing road network risk performance in the United States: A standardized spatial risk analysis","authors":"Daniel Rivera-Royero , Miguel Jaller","doi":"10.1016/j.ijdrr.2025.105418","DOIUrl":"10.1016/j.ijdrr.2025.105418","url":null,"abstract":"<div><div>Natural hazards can disrupt road networks, daily activities, and disaster response capabilities, making identifying high-risk areas essential for effective preparedness and response planning. Although existing research addresses road network performance risks, it offers limited insights into spatial patterns, their impact on network functionality, and their implications for disaster operations management. This paper introduces a method to evaluate road network performance risk for various natural hazards at three levels: local (node-specific analysis), regional (risk clustering based on network directions), and global (using a Standardized Spatial Risk Index). The local level considers network topology, historical hazard data, and socio-economic characteristics of the population. The regional level groups local risks by geographic orientation, while the global level assesses the overall spatial distribution of risks across the network. The paper implements the method in the United States, leveraging FEMA's National Risk Index to analyze multiple cities in California and assess risks from 18 types of natural hazards. The results highlight whether an entire city or specific areas require attention, offering actionable insights to enhance resilience through improved mitigation, preparedness, and response strategies.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"122 ","pages":"Article 105418"},"PeriodicalIF":4.2,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815618","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}

引用次数: 0

Hope and death obsession after the Maras earthquake: Psychological inflexibility and psychache as serial mediators

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-20 DOI: 10.1016/j.ijdrr.2025.105416

Zahide Gül Aktepe , M. Engin Deniz , Yavuz Erişen , Gaye Bırni , Begüm Satıcı , Yağmur Kaya

{"title":"Hope and death obsession after the Maras earthquake: Psychological inflexibility and psychache as serial mediators","authors":"Zahide Gül Aktepe , M. Engin Deniz , Yavuz Erişen , Gaye Bırni , Begüm Satıcı , Yağmur Kaya","doi":"10.1016/j.ijdrr.2025.105416","DOIUrl":"10.1016/j.ijdrr.2025.105416","url":null,"abstract":"<div><div>The earthquake is not only a destruction of buildings, but also a shattering of people's mental states. How survivors regulate dysfunctional feelings and thoughts toward death in the aftermath of an earthquake is a matter of curiosity. Therefore, this study examined the role of hope, psychological inflexibility, and psychache, which will provide a better understanding of people's obsession with death after the earthquake in Turkey. Participants were 419 Turkish individuals aged 18–59 years from 61 cities in Turkey. Structural equation modeling was performed. The findings showed the full mediation model that psychological inflexibility and psychache had significant mediating roles in the relationship between hope and death obsession, respectively. Whether directly or indirectly, increased hope is associated with less psychological inflexibility and less psychache among earthquake survivors. Positive and healing potentials of hope and psychological flexibility in reducing obsession with death in individuals with earthquakes or other traumatic experiences have been revealed.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"121 ","pages":"Article 105416"},"PeriodicalIF":4.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687688","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}

引用次数: 0

The collusion trap: Business - political collusion and flood risk management in Indonesia

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-20 DOI: 10.1016/j.ijdrr.2025.105408

Yogi Setya Permana

{"title":"The collusion trap: Business - political collusion and flood risk management in Indonesia","authors":"Yogi Setya Permana","doi":"10.1016/j.ijdrr.2025.105408","DOIUrl":"10.1016/j.ijdrr.2025.105408","url":null,"abstract":"<div><div>Flooding poses the most significant risk in Indonesia due to its frequency, widespread impact, and the extensive damage it causes. However, some cities are relatively successful in managing floods, while other cities fail. How can cities within the same national boundaries facing similar challenges, perform so differently when it comes to flood management? Applying a political economy approach, and building on a combination of extensive fieldwork and policy analysis, this study argues that pervasive politico-business collusion, a common feature of local politics in Indonesia, hinders the effectiveness of flood risk management. This type of deal-making undermines policy interventions in infrastructural works, spatial planning and diminishes the overall effectiveness of flood risk management policies. Cities that have been able to curtail the collusion achieve better results, as evidenced by a reduction in the number of flood cases and affected population. Progressive political leaders who form strategic alliances with civil society have been able to prioritize public interests, resulting in improved drainage systems and better water catchment areas or green zones protection, leading to effective flood risk management. This study develops these arguments on the basis of a detailed comparative study of Flood Risk Management (FRM) efforts in two Indonesian cities: Semarang and Surabaya. This study unravels processes and mechanisms that also determine the success and failure of the FRM agenda outside of existing discussions in literature and global policy models. This way, it contributes to urgent debate about flood management, disaster risk reduction, and climate adaptation beyond the case of Indonesia.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"122 ","pages":"Article 105408"},"PeriodicalIF":4.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769181","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}

引用次数: 0

Earthquake as a traumatic experience: Earthquake survivors' post-earthquake reactions, meaning-making and reconstruction processes

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-19 DOI: 10.1016/j.ijdrr.2025.105402

Erhan Tunç , Gülşah Candemir

{"title":"Earthquake as a traumatic experience: Earthquake survivors' post-earthquake reactions, meaning-making and reconstruction processes","authors":"Erhan Tunç , Gülşah Candemir","doi":"10.1016/j.ijdrr.2025.105402","DOIUrl":"10.1016/j.ijdrr.2025.105402","url":null,"abstract":"<div><div>This qualitative study, in which the phenomenon of “being affected by an earthquake as a traumatic experience” was examined in order to contribute to the management of risk situations that may arise in possible disasters, was conducted with a interpretive/phenomenological design. The data were obtained by interviewing adults who experienced the earthquake in Kahramanmaraş (Turkey) on February 6, 2023. A semi-structured interview questions including psychological interpretation steps was used. The data obtained from the interviews were visualized using MAXQDA software and contributed to making them more understandable for the reader. Most of the participants explained the earthquake with the metaphor of “apocalypse”. It was understood that they explained the moment of the earthquake as “humming and explosion sounds”, “death” and “collapse of the building” and showed reactions such as “being under the rubble”, “helplessness”, “shock” and “praying”. In the adaptation process after the earthquake, it was observed that they felt the “need to make sense” and resorted to “social support repertoire” to cope. This study on post-earthquake reactions emphasized the individual and social effects of the earthquake.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"121 ","pages":"Article 105402"},"PeriodicalIF":4.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687686","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}

引用次数: 0

An AI-driven approach to extract interrelationships between disasters

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-03-19 DOI: 10.1016/j.ijdrr.2025.105417

Bo Liu , Haixiang Guo , Haizhong Wang

{"title":"An AI-driven approach to extract interrelationships between disasters","authors":"Bo Liu , Haixiang Guo , Haizhong Wang","doi":"10.1016/j.ijdrr.2025.105417","DOIUrl":"10.1016/j.ijdrr.2025.105417","url":null,"abstract":"<div><div>Accurately identifying interrelationships between disasters is essential for comprehensive multi-disaster risk assessment. Traditional manual methods rely heavily on expert judgment, which may lead to overlooked or inconsistently documented disaster interrelationships. To address this challenge, this study develops an AI-driven approach to automatically extract disaster interrelationships from large-scale textual data using a fine-tuned Universal Information Extraction model. First, disaster interrelationships are systematically categorized into six distinct types, considering both disaster causation and impact perspectives. Secondly, a large-scale dataset is constructed by collecting 5212 Chinese-language disaster-related paper abstracts from the China National Knowledge Infrastructure (CNKI). Among them, 267 abstracts were manually annotated to train and evaluate the model. Thirdly, the fine-tuned model is applied to the remaining 4945 abstracts to extract large-scale disaster relationship triplets, with manual validation conducted for less common triplets to ensure result reliability. Finally, disaster interrelationships are visualized using complex network graphs and matrices, providing an intuitive representation of multi-disaster interrelationships. The key contribution of this research is the development of an AI-driven approach to systematically extract disaster interrelationships from large-scale datasets, improving the accuracy and scalability of identifying disaster interrelationships. Furthermore, this study establishes a comprehensive and updatable database of disaster interrelationships, addressing limitations in previous research, such as incomplete data coverage and limited exploration of relationship types, and helps scholars to identify disaster interrelationships that may have been previously overlooked.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"121 ","pages":"Article 105417"},"PeriodicalIF":4.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687685","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}

引用次数: 0