International journal of disaster risk reduction最新文献

{"title":"Providing support to increase adherence to self-isolation requirements during a public health emergency","authors":"Mark Atkinson ,&nbsp;Fergus Neville ,&nbsp;Evangelos Ntontis ,&nbsp;Stephen Reicher","doi":"10.1016/j.ijdrr.2025.105556","DOIUrl":"10.1016/j.ijdrr.2025.105556","url":null,"abstract":"<div><div>Isolating infected individuals plays a crucial role in controlling highly infectious diseases. However adherence to self-isolation mandates can be low. This paper uses data from three studies (total N = 1002) conducted during the COVID-19 pandemic to examine how the provision of support to individuals can facilitate increased adherence to self-isolation measures. In two experimental studies we manipulated the levels of hypothetical support provided by the UK Government and the local community, and in a survey, we collected data on actual support received from family members while self-isolating. Taken together, our results indicate that providing support for self-isolation increases both self-isolation intentions and actual behaviour. However, the effects of support were dependent on the type of support offered, the type of self-isolation required (either between households or within the household), the source of support, and the ways that all these addressed participants’ personal circumstances (in particular, caring responsibilities). For support for self-isolation to be most effective in future pandemic management, therefore, it should be tailored to address specific barriers individuals face when required to self-isolate.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"124 ","pages":"Article 105556"},"PeriodicalIF":4.2,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917699","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":"Unveiling vulnerabilities: Integrating socioeconomic and physical dimensions in residential exposure modelling","authors":"Maria Gaspari ,&nbsp;Carmine Galasso ,&nbsp;Roberto Gentile","doi":"10.1016/j.ijdrr.2025.105557","DOIUrl":"10.1016/j.ijdrr.2025.105557","url":null,"abstract":"<div><div>Natural hazard exposure modelling involves compiling a comprehensive database of elements at risk, such as people, buildings, and infrastructure, within a specified area of interest. Residential building (physical) exposure, in particular, is a critical component of disaster risk modelling and management. However, it cannot be examined in isolation from the socioeconomic characteristics of its residents, especially when estimating advanced, people-centred disaster impact metrics (e.g., population displacement) or disaggregating traditional metrics (e.g., financial losses) to account for the unequal impact of hazards on various societal segments. Household income, alongside other socioeconomic variables, plays a pivotal role in shaping decisions made by homeowners or renters regarding the structural vulnerability of their dwellings. Key decisions - such as home maintenance, the selection and quality of construction materials, compliance with building design codes, and the adoption of private insurance - are profoundly influenced by income levels. These factors, although frequently overlooked in conventional building exposure assessments, can significantly impact risk estimates and recovery planning. The main objective of this study is to develop a residential building exposure model that integrates both physical (i.e., building types) and socioeconomic dimensions (i.e., household income levels) in Saint Lucia, in the eastern Caribbean Sea. The model aims to test the hypothesis that income-poor households are disproportionately likely to inhabit physically vulnerable dwellings. To this end, the study introduces <em>SimLucia</em>, a residential building exposure model to hurricane hazards. Employing spatial microsimulation methodologies, <em>SimLucia</em> combines geographically aggregated data from the 2010 National Population and Household census with a-spatial microdata from the 2016 Living Conditions and Household Budgets Survey. The result is a virtual household population dataset that incorporates both structural and economic attributes at the district level. Outcomes from the <em>SimLucia</em> model reveal that low-income households are over twice as likely to reside in more physically vulnerable building typologies, thereby confirming the initial hypothesis. The <em>SimLucia</em> model can serve as a decision-support tool, enabling targeted, human-focused, and pro-poor policy interventions (e.g., housing recovery financing, income-generating instruments).</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105557"},"PeriodicalIF":4.2,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170420","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":"Quantity or quality? Comparing social media data sampling strategies for government crisis communication research","authors":"Jingyuan Yu ,&nbsp;Emese Domahidi ,&nbsp;Khaoula Benmaarouf ,&nbsp;Nadine Steinmetz","doi":"10.1016/j.ijdrr.2025.105531","DOIUrl":"10.1016/j.ijdrr.2025.105531","url":null,"abstract":"<div><div>Social media platforms are popular data sources for communication research, with X (formerly Twitter) being the most commonly used. However, strategies for high-quality social media data collection that form the cornerstone of rigorous research are rarely discussed or evaluated. In this paper, we use a case study of government crisis communication during Covid-19 in Germany and Italy to compare deductive and inductive sampling strategies on X in two different timeframes. We used different metrics (Jaccard index, precision, and recall) and different comparisons (relevant users and content, top users and terms, and tweeting frequency over time) to analyze which sampling strategy would provide high-quality data for research. Our results revealed that the deductive sampling strategy outperformed the inductive strategy in all the studied cases, this emphasizes the importance of data quality over quick access or the size of the data set. Further implications for comparative and computational research are discussed.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"124 ","pages":"Article 105531"},"PeriodicalIF":4.2,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924356","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":"HurricaneLog: A serious game for data collection and analysis of hurricane preparedness and response operations","authors":"Thiago Correia Pereira ,&nbsp;Daniel Aloise ,&nbsp;Marie-Ève Rancourt","doi":"10.1016/j.ijdrr.2025.105503","DOIUrl":"10.1016/j.ijdrr.2025.105503","url":null,"abstract":"<div><div>Hurricanes are destructive natural disasters that frequently cause significant damage and disrupt communities. An effective response relies on the swift actions of government and humanitarian organizations, and logistics play a crucial role in ensuring timely aid delivery. However, the complexity and unpredictability of disaster management can hinder decision making, often resulting in unintended outcomes. Data collection during emergency operations is challenging, and post-event surveys are prone to recall bias, creating barriers to obtaining valuable data to improve decision making. To address these challenges, we introduce <em>HurricaneLog</em>, a serious game that simulates disaster preparedness and response in a hurricane-prone region. By replicating realistic hurricane scenarios based on historical data, <em>HurricaneLog</em> provides a simulated environment to practice decision making and collect granular data, improving training for humanitarian logistics professionals and apprentices. This study contributes by introducing a publicly available game and proposing a methodological framework to analyze participants’ decisions and evaluate the effectiveness of the strategy. Detailed findings from an experiment involving 86 participants reveal decision-making patterns and provide practical evidence on disaster management strategies.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"124 ","pages":"Article 105503"},"PeriodicalIF":4.2,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924350","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":"Data Disaster – A new threat for sovereignty","authors":"Tomer Simon ,&nbsp;Ben Haklai","doi":"10.1016/j.ijdrr.2025.105538","DOIUrl":"10.1016/j.ijdrr.2025.105538","url":null,"abstract":"<div><div>The 2022 ransomware attacks on Costa Rica had a profound impact on the functioning of its government. From compromised ministries and economic setbacks to a healthcare crisis and the declaration of a state of emergency, the government faced multifaceted challenges. During the last 20 years governments around the world have started to deliver more and more services digitally using the internet and various digital platforms. When considered in tandem with the frequent occurrence of destructive cyber incidents that have caused crippling affect to various public sector organizations, and which increasingly target critical infrastructures and key state resources, an unsettling reality is revealed, one in which nations are becoming extremely vulnerable to hostile cyber incidents and attacks. In this article we introduce and coin a new type of disaster definition, a “data disaster”. A data disaster is the result of a cyber-attack affecting national-level data that can lead to a market failure, the ruling government inability to rule or govern, compromised national sovereignty, and even to social or civil unrest. In this paper we refer to such a situation as ‘Denial-of-Governance’. Given the potential impact of a Data Disaster on a nation's security, stability, and sovereignty, we argue that such a potential event requires a specific and comprehensive legal and institutional framework that would enable and empower the state and its relevant actors to deal with such events effectively and efficiently. We also suggest some possible elements of such a framework, such as clear definitions, criteria, and processes for declaring, managing, and terminating a Data Disaster.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105538"},"PeriodicalIF":4.2,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098547","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":"Ontological framework for horizon scanning of business continuity of essential services","authors":"Oussema Ben Amara ,&nbsp;Antonio De Nicola ,&nbsp;Daouda Kamissoko ,&nbsp;Frédérick Bénaben ,&nbsp;Ygal Fijalkow","doi":"10.1016/j.ijdrr.2025.105526","DOIUrl":"10.1016/j.ijdrr.2025.105526","url":null,"abstract":"<div><div>Keeping up essential operations in the face of more complicated disruptions from crises that impact essential services such as healthcare, public transit, and government operations is a major challenge for business continuity (BC) research. Taking up this issue in the midst of increased academic discussion emphasizes how urgent it is to create a thorough reference on BC principles. This paper uses a recently developed BC ontological framework to give a comprehensive review of the literature focused on BC research. The report summarizes a comprehensive investigation of important BC aspects, including technological aspects and the urgent difficulties in maintaining BC sustainability. Through the integration of many viewpoints, this study advances a unified awareness of BC dynamics, promoting a general understanding that is necessary for risk management which is both efficient and lasting for organizations.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"124 ","pages":"Article 105526"},"PeriodicalIF":4.2,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917700","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":"“If we didn't have anything, not even pots to cook, how do we help each other”: A qualitative analysis of social capital networks and household food access post-cyclone Idai in Beira, Mozambique","authors":"N.E. Sunu,&nbsp;C. McCordic,&nbsp;B. Frayne","doi":"10.1016/j.ijdrr.2025.105549","DOIUrl":"10.1016/j.ijdrr.2025.105549","url":null,"abstract":"","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"124 ","pages":"Article 105549"},"PeriodicalIF":4.2,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917701","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":"A mechanics-based procedure for the structural assessment of infilled RC buildings under overpressures generated by pyroclastic density currents","authors":"M. Gaetani d’Aragona,&nbsp;M. Polese,&nbsp;G.M. Verderame","doi":"10.1016/j.ijdrr.2025.105546","DOIUrl":"10.1016/j.ijdrr.2025.105546","url":null,"abstract":"<div><div>The recent seismic activity of the Phlegrean Fields has drawn attention to the potential impact of volcanic eruptions in densely urbanized areas. Among the volcanic processes, the formation of pyroclastic density currents (PDCs) poses a significant threat to residential buildings because of the large dynamic overpressures generated during the explosion. This study introduces a simple mechanics-based method, called STAM-PYR (STructural Assessment Method for PYRoclastic density currents), for the structural assessment of infilled reinforced concrete buildings subjected to PDCs. The STAM-PYR method allows to predict damage evolution as a function of dynamic overpressure intensity, accounting for the contribution of both structural and nonstructural components as well as typical failure modes that can develop in existing RC buildings. Furthermore, it accounts for the variation in the overpressure profile by dynamically updating the load distribution depending on the progressive failure of infill panels and closures. A suitable damage scale is also introduced to facilitate future multi-risk comparisons. The method is exemplified via application to a case study of a typical 1970s RC building, comparing the results to existing literature to demonstrate the enhanced accuracy of the proposed approach in capturing the complex interactions between PDC loadings and building response. STAM-PYR offers a practical and scalable tool to support probabilistic volcanic risk modeling, vulnerability mapping, and emergency planning, especially in urban areas at high risk of explosive eruptions. By enabling a more accurate quantification of structural vulnerability to PDCs, the methodology enhances current capabilities in disaster mitigation, crisis management, and long-term risk-informed land-use strategies.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"124 ","pages":"Article 105546"},"PeriodicalIF":4.2,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942667","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":"Understanding the socio-economic and wellbeing impacts of the 2023 earthquakes in Turkey on Syrian refugees","authors":"Abir Nasır ,&nbsp;Ghada Alymany ,&nbsp;Fatima Brimo ,&nbsp;Selin Tekin ,&nbsp;John Drury","doi":"10.1016/j.ijdrr.2025.105548","DOIUrl":"10.1016/j.ijdrr.2025.105548","url":null,"abstract":"<div><div>On February 6, 2023, a significant earthquake struck Turkey, disproportionately impacting Syrian refugees already struggling with the lingering effects of war. This study aims to understand the specific impacts of the earthquake on Syrian refugees by addressing four key topics: 1) the effects of the earthquake on their living conditions; 2) impacts on their sense of community belonging; 3) well-being impacts reported post-earthquake; and 4) beneficial support strategies identified by the refugees. Through individual interviews with 36 participants and subsequent thematic analysis, we found that Syrian refugees reported trauma akin to their wartime experiences, marked by significant economic, psychological, and social challenges. Economic impacts included job and housing loss, poverty, and debt, while psychological impacts involved stress and trauma. Socially, refugees faced family and community disruptions, educational interruptions, isolation, and withdrawal from social relationships. Despite these hardships, community solidarity was temporarily strengthened as refugees supported each other during the crisis.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"125 ","pages":"Article 105548"},"PeriodicalIF":4.2,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069871","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":"Comprehensive geospatial approaches to delineate near real-time (NRT) flood inundation and damage assessment of Tripura, India","authors":"Toushif Jaman ,&nbsp;Shashank Bhaskar ,&nbsp;Suraj Kumar Swain ,&nbsp;Prakash Biswakarma ,&nbsp;Rekha Bharali Gogoi ,&nbsp;Jenita Mary Nongkynrih ,&nbsp;K.K. Sarma ,&nbsp;S.P. Aggarwal","doi":"10.1016/j.ijdrr.2025.105547","DOIUrl":"10.1016/j.ijdrr.2025.105547","url":null,"abstract":"<div><div>Floods are among the most devastating hydro-meteorological hazards, leaving behind a trail of destruction to life, property, agriculture, and infrastructure. In northeastern India, Tripura stands resilient yet vulnerable to the onslaught of monsoon-driven floods, shaped by its hilly terrain and heavy rainfall. This study embarks on a mission to assess flood inundation mapping and the impact on agricultural and built-up areas in four districts: Gomati, Sipahijala, South Tripura, and West Tripura, during the severe monsoon floods of August 2024. Harnessing the power of Sentinel-1 Synthetic Aperture Radar (SAR) and EOS 04 MSR SAR data, this study unveil near real-time insights into the flood's extent and effects. By utilizing Google Earth Engine (GEE) and SigmaSAR V3.1, satellite datasets have been processed and analyzed in a very short time. The integration of SAR imagery with Random Forest land use and land cover (LULC) classification techniques proves invaluable for mapping flood inundation and assessing damage. The results reveal that out of 85021.46 ha (ha) of agricultural land, 10,510.32 ha were inundated, with Gomati and West Tripura facing the greatest challenges, where 13 % of the total farmland was flooded. In the realm of built-up areas, 928.72 ha of the total 75180.26 ha were affected, with Gomati District experiencing the most significant inundation, marking 1.5 % of its built-up regions flooded. These findings serve as a strong impetus for enhanced flood management strategies, igniting the need for improved early warning systems and innovative urban planning.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"124 ","pages":"Article 105547"},"PeriodicalIF":4.2,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898631","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}