Floods are among the most pervasive natural hazards, frequently causing loss of livelihoods, population displacement, and setbacks to socio-economic development. Anticipatory approaches such as Forecast-based Action (FbA) have gained prominence for reducing disaster impacts by enabling early interventions triggered by forecast information. At the same time, many countries operate social protection (SP) systems that provide ongoing support to vulnerable groups. In Bangladesh, where recurrent riverine floods coincide with widespread poverty, both FbA and SP mechanisms exist, yet their complementarities remain underutilized. This study investigates how FbA can be linked with government-led SP programs to strengthen anticipatory flood response, using evidence from Chilmari Upazila during the 2020 flood event. A mixed-methods design was employed, combining household surveys, focus group discussions, key informant interviews, and geospatial analysis. Findings indicate that 15–17 % of FbA beneficiaries were already included in SP programs such as Old Age, Widow, and Disability Allowances, suggesting potential for rapid targeting through established lists. However, more than 90 % of affected households were not covered, revealing significant gaps in outreach. The study highlights that integrating FbA with SP offers a practical, scalable pathway to institutionalize anticipatory action and enhance resilience in flood-prone contexts.
{"title":"Integrating forecast-based action and government-led social protection programs for flood response","authors":"Rashel Mahmud, Sonia Binte Murshed, Faisal Mahmud Sakib, Shampa, Mashfiqus Salehin","doi":"10.1016/j.pdisas.2025.100506","DOIUrl":"10.1016/j.pdisas.2025.100506","url":null,"abstract":"<div><div>Floods are among the most pervasive natural hazards, frequently causing loss of livelihoods, population displacement, and setbacks to socio-economic development. Anticipatory approaches such as Forecast-based Action (FbA) have gained prominence for reducing disaster impacts by enabling early interventions triggered by forecast information. At the same time, many countries operate social protection (SP) systems that provide ongoing support to vulnerable groups. In Bangladesh, where recurrent riverine floods coincide with widespread poverty, both FbA and SP mechanisms exist, yet their complementarities remain underutilized. This study investigates how FbA can be linked with government-led SP programs to strengthen anticipatory flood response, using evidence from Chilmari Upazila during the 2020 flood event. A mixed-methods design was employed, combining household surveys, focus group discussions, key informant interviews, and geospatial analysis. Findings indicate that 15–17 % of FbA beneficiaries were already included in SP programs such as Old Age, Widow, and Disability Allowances, suggesting potential for rapid targeting through established lists. However, more than 90 % of affected households were not covered, revealing significant gaps in outreach. The study highlights that integrating FbA with SP offers a practical, scalable pathway to institutionalize anticipatory action and enhance resilience in flood-prone contexts.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100506"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926177","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 : 2026-01-01Epub Date: 2026-01-24DOI: 10.1016/j.pdisas.2026.100520
Farirai Rusere , Nina Rholan Houngue , Siyabusa Mkuhlani , Gabriel Soropa , Lori Hunter , Wayne Twine , Cyrus Samimi
The increasing frequency of droughts in southern Africa is placing pressure on resource-dependent populations and constraining their ability to build resilience. This study investigates how rural communities in Bushbuckridge, Mpumalanga, South Africa, perceive and respond to El Niño-induced droughts. Using a mixed-methods approach, including surveys and interviews, this research examines household awareness, sensitivity, and adaptive capacity, as well as the factors shaping these dimensions. The findings show that households with greater climate awareness better recognize the potential impacts of El Niño-related drought on agriculture, livestock, and the local economy. Households with members engaged in local non-farm activities or migrant labor displayed higher adaptive capacity but also greater vulnerability in terms of sensitivity, as reliance on external income often reduced on-farm labor and adaptation efforts. Social networks emerged as both an asset, facilitating the spread of adaptation information, and a liability, sometimes reinforcing misinformation and delaying the uptake of science-based strategies. Gender dynamics also influenced adaptive capacity, with male-headed households generally having more resources and labor to implement adaptation measures. These findings highlight that resilience is not solely determined by material resources but emerges from the interaction of awareness, livelihood diversification, social relations, and gendered access to assets. The study underscores the need for resilience initiatives that strengthen local extension services, improve risk communication, and engage social networks while addressing gendered constraints, in order to support timely, informed, and equitable drought adaptation in rural communities.
{"title":"Rural households' vulnerability to drought and implications for resilience: Insights from Bushbuckridge, Mpumalanga, South Africa","authors":"Farirai Rusere , Nina Rholan Houngue , Siyabusa Mkuhlani , Gabriel Soropa , Lori Hunter , Wayne Twine , Cyrus Samimi","doi":"10.1016/j.pdisas.2026.100520","DOIUrl":"10.1016/j.pdisas.2026.100520","url":null,"abstract":"<div><div>The increasing frequency of droughts in southern Africa is placing pressure on resource-dependent populations and constraining their ability to build resilience. This study investigates how rural communities in Bushbuckridge, Mpumalanga, South Africa, perceive and respond to <em>El Niño</em>-induced droughts. Using a mixed-methods approach, including surveys and interviews, this research examines household awareness, sensitivity, and adaptive capacity, as well as the factors shaping these dimensions. The findings show that households with greater climate awareness better recognize the potential impacts of <em>El Niño</em>-related drought on agriculture, livestock, and the local economy. Households with members engaged in local non-farm activities or migrant labor displayed higher adaptive capacity but also greater vulnerability in terms of sensitivity, as reliance on external income often reduced on-farm labor and adaptation efforts. Social networks emerged as both an asset, facilitating the spread of adaptation information, and a liability, sometimes reinforcing misinformation and delaying the uptake of science-based strategies. Gender dynamics also influenced adaptive capacity, with male-headed households generally having more resources and labor to implement adaptation measures. These findings highlight that resilience is not solely determined by material resources but emerges from the interaction of awareness, livelihood diversification, social relations, and gendered access to assets. The study underscores the need for resilience initiatives that strengthen local extension services, improve risk communication, and engage social networks while addressing gendered constraints, in order to support timely, informed, and equitable drought adaptation in rural communities.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100520"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077857","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 : 2026-01-01Epub Date: 2026-01-10DOI: 10.1016/j.pdisas.2026.100519
Merve Deniz Tak , Mert Akay
Post-disaster planning demands swift yet quality-conscious decision-making under extreme time pressure and cognitive load, conditions under which conventional approaches frequently fail. While extensive research addresses site selection through multi-criteria decision analysis and GIS-based methods, a critical gap persists in the computational generation of internal site layouts that algorithmically integrate humanitarian spatial standards from multiple institutional sources. This study develops a generative design framework integrating parametric modelling with multi-objective evolutionary optimisation to address this gap. It translates qualitative standards from the SPHERE Association, UNHCR, and national guidelines into quantitative design parameters for temporary housing areas. The methodology proceeds in three stages: (1) systematic extraction and synthesis of spatial parameters from international (SPHERE, UNHCR) and national (AFAD, Chamber of Urban Planners) sources; (2) parametric modelling in Rhino-Grasshopper® to encode design parameters; (3) multi-objective optimisation using NSGA-II genetic algorithms to balance shelter capacity maximisation and 500-m pedestrian accessibility to service hubs. Applied to Ümraniye National Garden, a pre-designated 15-ha temporary housing site in Istanbul, the framework generated 2500 design alternatives, identifying 50 Pareto-optimal configurations spanning capacity-accessibility trade-offs from high-density solutions (1737 units, 19% accessible within 500 m) to accessibility-optimised layouts (1222 units, 92% accessible). This research contributes a replicable, standards-informed computational workflow that systematically reconciles multi-source humanitarian standards and generates site layouts through multi-objective optimisation, advancing beyond component-level optimisation and evaluation-focused approaches. By providing decision-makers with diverse Pareto-optimal alternatives rather than single predetermined solutions, the framework shifts temporary housing design from static manual drafting toward agile, evidence-based generative processes suitable for crisis decision-making contexts.
{"title":"Parametric modelling for temporary housing areas: Integrating multi-source standards with multi-objective optimisation","authors":"Merve Deniz Tak , Mert Akay","doi":"10.1016/j.pdisas.2026.100519","DOIUrl":"10.1016/j.pdisas.2026.100519","url":null,"abstract":"<div><div>Post-disaster planning demands swift yet quality-conscious decision-making under extreme time pressure and cognitive load, conditions under which conventional approaches frequently fail. While extensive research addresses site selection through multi-criteria decision analysis and GIS-based methods, a critical gap persists in the computational generation of internal site layouts that algorithmically integrate humanitarian spatial standards from multiple institutional sources. This study develops a generative design framework integrating parametric modelling with multi-objective evolutionary optimisation to address this gap. It translates qualitative standards from the SPHERE Association, UNHCR, and national guidelines into quantitative design parameters for temporary housing areas. The methodology proceeds in three stages: (1) systematic extraction and synthesis of spatial parameters from international (SPHERE, UNHCR) and national (AFAD, Chamber of Urban Planners) sources; (2) parametric modelling in Rhino-Grasshopper® to encode design parameters; (3) multi-objective optimisation using NSGA-II genetic algorithms to balance shelter capacity maximisation and 500-m pedestrian accessibility to service hubs. Applied to Ümraniye National Garden, a pre-designated 15-ha temporary housing site in Istanbul, the framework generated 2500 design alternatives, identifying 50 Pareto-optimal configurations spanning capacity-accessibility trade-offs from high-density solutions (1737 units, 19% accessible within 500 m) to accessibility-optimised layouts (1222 units, 92% accessible). This research contributes a replicable, standards-informed computational workflow that systematically reconciles multi-source humanitarian standards and generates site layouts through multi-objective optimisation, advancing beyond component-level optimisation and evaluation-focused approaches. By providing decision-makers with diverse Pareto-optimal alternatives rather than single predetermined solutions, the framework shifts temporary housing design from static manual drafting toward agile, evidence-based generative processes suitable for crisis decision-making contexts.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100519"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977174","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 : 2026-01-01Epub Date: 2026-02-22DOI: 10.1016/j.pdisas.2026.100540
Kyle Breen , J. Carlee Purdum , Michelle Annette Meyer , Stuart Nolan
Gender dramatically shapes how individuals respond to, experience, and recover from disasters. Past gender and disaster research has examined gendered roles, volunteerism, and mental health; however, little research has focused on the intersection of these topics. Drawing on data from ethnographic research with eight distinct civilian volunteer search and rescue (SAR) organizations, this research examined the mental and emotional health experiences of volunteers and how they discussed those experiences. Findings revealed that experiences were dictated by a gendered division of labor that positioned men in roles as boaters and women as back-end volunteers taking on roles as dispatchers and social media administrators. Boaters understood their experience through traditional masculine norms, minimizing and compartmentalizing their experiences while being framed as “the rescuer.” Back-end volunteers described mental health experiences differently due to their position as the “first point of contact” and expending additional emotional labor because of that position. The insights gained from this research provide evidence that gender is a critical structural element in how volunteers experience and discuss mental health in disaster settings.
{"title":"“You can never unhear that”: Gendered mental health and emotional labor in civilian volunteer search-and-rescue organizations","authors":"Kyle Breen , J. Carlee Purdum , Michelle Annette Meyer , Stuart Nolan","doi":"10.1016/j.pdisas.2026.100540","DOIUrl":"10.1016/j.pdisas.2026.100540","url":null,"abstract":"<div><div>Gender dramatically shapes how individuals respond to, experience, and recover from disasters. Past gender and disaster research has examined gendered roles, volunteerism, and mental health; however, little research has focused on the intersection of these topics. Drawing on data from ethnographic research with eight distinct civilian volunteer search and rescue (SAR) organizations, this research examined the mental and emotional health experiences of volunteers and how they discussed those experiences. Findings revealed that experiences were dictated by a gendered division of labor that positioned men in roles as boaters and women as back-end volunteers taking on roles as dispatchers and social media administrators. Boaters understood their experience through traditional masculine norms, minimizing and compartmentalizing their experiences while being framed as “the rescuer.” Back-end volunteers described mental health experiences differently due to their position as the “first point of contact” and expending additional emotional labor because of that position. The insights gained from this research provide evidence that gender is a critical structural element in how volunteers experience and discuss mental health in disaster settings.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100540"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395964","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 presents an integrated socio-technical and data-driven framework to model the psychological and contextual determinants of donor behavior in disaster settings. From an artificial intelligence perspective, the research introduces a hybrid architecture that combines multigroup, multilevel, and confirmatory structural equation modeling (SEM) with a semi-supervised autoencoder-based clustering strategy for latent profile identification. A MIMIC (Multiple Indicators Multiple Causes) extension further links latent constructs to observable donation frequency, bridging attitudinal and behavioral dimensions of prosocial action.
From an engineering and humanitarian logistics perspective, this framework enhances the prediction and segmentation of donor behavior under disaster exposure. The model, based on survey data from disaster-affected individuals in Chile, incorporates validated constructs such as social vulnerability, solastalgia (emotional distress from environmental degradation), deprivation cost, resilience, and climate-related anxiety. Five distinct psychological donor profiles were identified, behaviorally validated, and linked to operational implications for mitigating material convergence and optimizing resource allocation.
The findings offer a socio-technical pathway to integrate psychosocial assessment with humanitarian logistics decision-making, advancing anticipatory capacity, behavioral forecasting, and equitable supply distribution. The study contributes a replicable framework that connects human-centered behavioral modeling with operational optimization, supporting more adaptive and resilient disaster response systems
{"title":"Predicting and segmenting donor behavior under disaster exposure: A socio-technical and data-driven approach: Evidence from natural disasters in Chile","authors":"Luis Yáñez-Sandivari , Sebastián Ríos , Cristián Cáceres , Angelo León","doi":"10.1016/j.pdisas.2025.100493","DOIUrl":"10.1016/j.pdisas.2025.100493","url":null,"abstract":"<div><div>This study presents an integrated socio-technical and data-driven framework to model the psychological and contextual determinants of donor behavior in disaster settings. From an artificial intelligence perspective, the research introduces a hybrid architecture that combines multigroup, multilevel, and confirmatory structural equation modeling (SEM) with a semi-supervised autoencoder-based clustering strategy for latent profile identification. A MIMIC (Multiple Indicators Multiple Causes) extension further links latent constructs to observable donation frequency, bridging attitudinal and behavioral dimensions of prosocial action.</div><div>From an engineering and humanitarian logistics perspective, this framework enhances the prediction and segmentation of donor behavior under disaster exposure. The model, based on survey data from disaster-affected individuals in Chile, incorporates validated constructs such as social vulnerability, solastalgia (emotional distress from environmental degradation), deprivation cost, resilience, and climate-related anxiety. Five distinct psychological donor profiles were identified, behaviorally validated, and linked to operational implications for mitigating material convergence and optimizing resource allocation.</div><div>The findings offer a socio-technical pathway to integrate psychosocial assessment with humanitarian logistics decision-making, advancing anticipatory capacity, behavioral forecasting, and equitable supply distribution. The study contributes a replicable framework that connects human-centered behavioral modeling with operational optimization, supporting more adaptive and resilient disaster response systems</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100493"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738450","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 : 2026-01-01Epub Date: 2025-12-03DOI: 10.1016/j.pdisas.2025.100499
Mukti Ali , Abdul Rachman Rasyid , Ihsan Ihsan , Isfa Sastrawati , Dewa Sagita Alfadin Nur , Junichiro Asano , Muh. Fachrul Razy Taufiq , Ahmad Saiful Munir , Andi Muthia Amalia Makkuaseng
Land degradation from erosion remains a persistent challenge in tropical river basins. Yet, many assessments utilizing the Revised Universal Soil Loss Equation (RUSLE) do not explicitly quantify which factors most strongly influence erosion, leaving a gap in designing targeted and cost-effective interventions. This study addresses this methodological gap by integrating spatial RUSLE modeling with a quantitative sensitivity analysis to identify the dominant physical and land-use drivers of erosion in the Battang River Basin, Palopo City. Four parameters—rainfall erosivity (R), soil erodibility (K), slope characteristics (LS), and cover-management (CP)—were analyzed using field data, DEMNAS, and satellite imagery. Erosion rates range from light to extremely severe (15–450 t/ha/year), with the western basin exhibiting the highest values due to steep terrain and vegetation loss. Sensitivity results demonstrate that LS and CP exert the strongest influence on erosion variability, with CP showing the highest sensitivity coefficient among the manageable factors, indicating its strategic role in rapid mitigation. These findings highlight the added value of integrating RUSLE with sensitivity analysis to strengthen erosion-related decision-support. The study concludes that erosion-risk maps and factor sensitivities should guide municipal spatial planning, particularly the Palopo City Spatial Plan, by informing zoning and conservation priorities. Key mitigation options include infiltration holes in residential areas, bench terraces on steep slopes, and targeted vegetation rehabilitation on critically degraded land, supported by community-based slope management and improved land-use practices.
{"title":"RUSLE modeling and spatial approach in soil erosion-prone areas for erosion rate prediction and strengthening land use planning in the Battang River basin, Palopo City","authors":"Mukti Ali , Abdul Rachman Rasyid , Ihsan Ihsan , Isfa Sastrawati , Dewa Sagita Alfadin Nur , Junichiro Asano , Muh. Fachrul Razy Taufiq , Ahmad Saiful Munir , Andi Muthia Amalia Makkuaseng","doi":"10.1016/j.pdisas.2025.100499","DOIUrl":"10.1016/j.pdisas.2025.100499","url":null,"abstract":"<div><div>Land degradation from erosion remains a persistent challenge in tropical river basins. Yet, many assessments utilizing the Revised Universal Soil Loss Equation (RUSLE) do not explicitly quantify which factors most strongly influence erosion, leaving a gap in designing targeted and cost-effective interventions. This study addresses this methodological gap by integrating spatial RUSLE modeling with a quantitative sensitivity analysis to identify the dominant physical and land-use drivers of erosion in the Battang River Basin, Palopo City. Four parameters—rainfall erosivity (R), soil erodibility (K), slope characteristics (LS), and cover-management (CP)—were analyzed using field data, DEMNAS, and satellite imagery. Erosion rates range from light to extremely severe (15–450 t/ha/year), with the western basin exhibiting the highest values due to steep terrain and vegetation loss. Sensitivity results demonstrate that LS and CP exert the strongest influence on erosion variability, with CP showing the highest sensitivity coefficient among the manageable factors, indicating its strategic role in rapid mitigation. These findings highlight the added value of integrating RUSLE with sensitivity analysis to strengthen erosion-related decision-support. The study concludes that erosion-risk maps and factor sensitivities should guide municipal spatial planning, particularly the Palopo City Spatial Plan, by informing zoning and conservation priorities. Key mitigation options include infiltration holes in residential areas, bench terraces on steep slopes, and targeted vegetation rehabilitation on critically degraded land, supported by community-based slope management and improved land-use practices.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100499"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738453","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 : 2026-01-01Epub Date: 2025-12-07DOI: 10.1016/j.pdisas.2025.100498
Md. Mujahidul Islam , Abu Reza Md Towfiqul Islam
Non-governmental organizations (NGOs) significantly contribute to the promotion of local adaptation and resilience strategies in climate-vulnerable areas, including coastal Bangladesh. However, most prior studies have focused on project outcomes and governance frameworks, often neglecting the intersectional dimensions of vulnerability, such as gender, disability, and income, and how these affect perceptions of NGO efficacy. To address this gap, this study examines the effectiveness of NGO-led adaptation initiatives from an intersectional perspective in the Koira and Shyamnagar upazilas of southwest coastal Bangladesh. This study employed a mixed-methods approach, combining survey data (n = 230) with qualitative insights from Key Informant Interviews (KIIs) and Focus Group Discussions (FGDs). Quantitative findings reveal structural inequities, with individuals with disabilities and women being significantly underrepresented in NGO programs (χ2 = 24.88, p < .001; t = −3.47, p = .001; and χ2 = 34.42, p < .001; t = −5.75, p < .001, respectively). While 27 % of respondents claimed that NGOs prioritize disadvantaged groups, nearly half (48.3 %) disagreed. Qualitative data also echoed these concerns, illustrating patterns of favoritism, political interference, and tokenistic inclusion that undermine equity and transparency. The findings indicate that, although NGOs are critically essential for their considerable contributions to climate adaptation and resilience, they often face governance challenges that compromise their credibility and equitable results. This study demonstrates that fortifying accountability, diminishing elite capture, and integrating gender- and disability-sensitive frameworks into program design are essential for augmenting legitimacy and resilience. By foregrounding the interconnections among vulnerability, intersectionality, and governance, this study advances scholarly debates on adaptation governance in the Global South. Despite limitations in geographic coverage and representativeness, the research stresses the importance of justice-oriented and participatory approaches in NGO-led climate adaptation.
非政府组织为促进包括孟加拉国沿海地区在内的气候脆弱地区的当地适应和恢复战略做出了重大贡献。然而,大多数先前的研究都集中在项目成果和治理框架上,往往忽视了脆弱性的交叉维度,如性别、残疾和收入,以及它们如何影响对非政府组织效率的看法。为了解决这一差距,本研究从交叉的角度考察了孟加拉国西南沿海的Koira和Shyamnagar地区非政府组织主导的适应计划的有效性。本研究采用混合方法,将调查数据(n = 230)与关键线人访谈(KIIs)和焦点小组讨论(fgd)的定性见解相结合。定量调查结果显示了结构性不平等,残疾人和妇女在非政府组织项目中的代表性明显不足(χ2 = 24.88, p < .001; t = - 3.47, p = .001; χ2 = 34.42, p < .001; t = - 5.75, p < .001)。27%的受访者认为非政府组织优先考虑弱势群体,近一半(48.3%)的受访者不同意。定性数据也反映了这些担忧,说明了偏袒、政治干预和象征性包容的模式,破坏了公平和透明度。研究结果表明,尽管非政府组织在气候适应和恢复能力方面发挥着至关重要的作用,但它们往往面临着损害其信誉和公平结果的治理挑战。本研究表明,加强问责制、减少精英捕获、将性别和残疾敏感框架纳入项目设计,对于增强合法性和韧性至关重要。通过强调脆弱性、交叉性和治理之间的相互联系,本研究推进了全球南方国家适应性治理的学术辩论。尽管在地理覆盖和代表性方面存在局限性,但该研究强调了以正义为导向和参与性方法在非政府组织主导的气候适应中的重要性。
{"title":"Strengthening climate resilience in coastal Bangladesh: Analyzing the role of NGOs in adaptation governance from an intersectionality lens","authors":"Md. Mujahidul Islam , Abu Reza Md Towfiqul Islam","doi":"10.1016/j.pdisas.2025.100498","DOIUrl":"10.1016/j.pdisas.2025.100498","url":null,"abstract":"<div><div>Non-governmental organizations (NGOs) significantly contribute to the promotion of local adaptation and resilience strategies in climate-vulnerable areas, including coastal Bangladesh. However, most prior studies have focused on project outcomes and governance frameworks, often neglecting the intersectional dimensions of vulnerability, such as gender, disability, and income, and how these affect perceptions of NGO efficacy. To address this gap, this study examines the effectiveness of NGO-led adaptation initiatives from an intersectional perspective in the Koira and Shyamnagar upazilas of southwest coastal Bangladesh. This study employed a mixed-methods approach, combining survey data (<em>n</em> = 230) with qualitative insights from Key Informant Interviews (KIIs) and Focus Group Discussions (FGDs). Quantitative findings reveal structural inequities, with individuals with disabilities and women being significantly underrepresented in NGO programs (χ<sup>2</sup> = 24.88, <em>p</em> < .001; <em>t</em> = −3.47, <em>p</em> = .001; and χ<sup>2</sup> = 34.42, p < .001; <em>t</em> = −5.75, p < .001, respectively). While 27 % of respondents claimed that NGOs prioritize disadvantaged groups, nearly half (48.3 %) disagreed. Qualitative data also echoed these concerns, illustrating patterns of favoritism, political interference, and tokenistic inclusion that undermine equity and transparency. The findings indicate that, although NGOs are critically essential for their considerable contributions to climate adaptation and resilience, they often face governance challenges that compromise their credibility and equitable results. This study demonstrates that fortifying accountability, diminishing elite capture, and integrating gender- and disability-sensitive frameworks into program design are essential for augmenting legitimacy and resilience. By foregrounding the interconnections among vulnerability, intersectionality, and governance, this study advances scholarly debates on adaptation governance in the Global South. Despite limitations in geographic coverage and representativeness, the research stresses the importance of justice-oriented and participatory approaches in NGO-led climate adaptation.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100498"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738452","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 : 2026-01-01Epub Date: 2025-12-19DOI: 10.1016/j.pdisas.2025.100509
Kaito Fujie , U Hiroi , Fumihiro Sakahira
Great earthquakes attract intense media coverage and public attention, but their decay dynamics—and their variation across newspaper sections—remain underexplored. This study quantitatively examines long-term social interest following two major Japanese earthquakes: the 1995 Great Hanshin-Awaji Earthquake and the 2011 Great East Japan Earthquake. Using a 26-year newspaper corpus, we classify articles by section (e.g., local news, social news, opinion) and analyze monthly counts. We apply Seasonal-Trend decomposition using Loess (STL) to separate sustained interest from spikes (e.g., anniversaries), followed by a two-phase decay model combining an initial exponential drop-off with long-term power-law attenuation. Our results reveal clear contrasts: coverage of the Great East Japan Earthquake was broader, more sustained, and decayed more slowly—likely due to its nuclear-accident dimension. In contrast, coverage of the Hanshin-Awaji Earthquake was irregular and less persistent, largely influenced by competing news events. Local and social news sections provided enduring coverage in both cases, underscoring their role in sustaining collective memory. We also identify a switching point occurring at around 40 months for the Great East Japan Earthquake—marking a shift from communicative to cultural memory—while for the Hanshin-Awaji Earthquake, the transition was slightly later and more irregular. This study offers a novel quantitative framework that integrates agenda-setting, the issue-attention cycle, and journalism–memory studies, clarifying how media attention forms, consolidates memory, and resets agendas. It demonstrates the media's dynamic role in constructing and preserving collective memory.
{"title":"Modeling social interest dynamics after earthquake disasters: A time-series analysis of newspaper coverage using STL decomposition and two-phase decay models","authors":"Kaito Fujie , U Hiroi , Fumihiro Sakahira","doi":"10.1016/j.pdisas.2025.100509","DOIUrl":"10.1016/j.pdisas.2025.100509","url":null,"abstract":"<div><div>Great earthquakes attract intense media coverage and public attention, but their decay dynamics—and their variation across newspaper sections—remain underexplored. This study quantitatively examines long-term social interest following two major Japanese earthquakes: the 1995 Great Hanshin-Awaji Earthquake and the 2011 Great East Japan Earthquake. Using a 26-year newspaper corpus, we classify articles by section (e.g., local news, social news, opinion) and analyze monthly counts. We apply Seasonal-Trend decomposition using Loess (STL) to separate sustained interest from spikes (e.g., anniversaries), followed by a two-phase decay model combining an initial exponential drop-off with long-term power-law attenuation. Our results reveal clear contrasts: coverage of the Great East Japan Earthquake was broader, more sustained, and decayed more slowly—likely due to its nuclear-accident dimension. In contrast, coverage of the Hanshin-Awaji Earthquake was irregular and less persistent, largely influenced by competing news events. Local and social news sections provided enduring coverage in both cases, underscoring their role in sustaining collective memory. We also identify a switching point occurring at around 40 months for the Great East Japan Earthquake—marking a shift from communicative to cultural memory—while for the Hanshin-Awaji Earthquake, the transition was slightly later and more irregular. This study offers a novel quantitative framework that integrates agenda-setting, the issue-attention cycle, and journalism–memory studies, clarifying how media attention forms, consolidates memory, and resets agendas. It demonstrates the media's dynamic role in constructing and preserving collective memory.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100509"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926173","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 : 2026-01-01Epub Date: 2026-02-18DOI: 10.1016/j.pdisas.2026.100536
Mayumi Kako , İsmail Tayfur , Abdulkadir Gunduz , Perihan Şimşek , Md Moshiur Rahman , Chie Teramoto , Yosuke Takada , Benjamin Ryan , Shelby Garner , Burcu Bayramoğlu , Tatsuhiko Kubo , Ryoma Kayano , Makiko K. MacDermot , Sanjaya Bhatia , Betül Kaplan Zamanov , Sinem Güzel Öztürk , Yavuz Yiğit
Societal complexity can cause cascading events during disasters. A multisectoral approach is essential to minimize this effect. The Public Health System Resilience Scorecard (Scorecard), developed by the United Nations Office for Disaster Risk Reduction, World Health Organization, and partners, helps assess public health systems and identify challenges through a multisectoral approach. Although the Scorecard was used in previous studies, the learning experiences of individual participants remained unknown. This study used a qualitative approach to capture the workshop participants' understanding and experience using the Scorecard. Participants were interviewed before and after the workshop using semi-structured guidelines. The researchers analyzed the data using thematic analysis. To capture an overview, keywords such as disaster scenario/plan and preparedness of vulnerable population were utilized to gain a better understanding and explain the findings from the data. Seven themes emerged from interviews with 12 participants from both pre- and post-workshop. While participants were from earthquake-affected areas, this study indicated that the Scorecard not only provided opportunities to reflect on the strengths and weaknesses of public healthcare systems to prepare better, but also allowed participants to reflect and articulate actions needed, with an understanding of resilience, especially in the post-disaster phase.
{"title":"Beyond scoring on public health system resilience: A qualitative study of the scorecard application","authors":"Mayumi Kako , İsmail Tayfur , Abdulkadir Gunduz , Perihan Şimşek , Md Moshiur Rahman , Chie Teramoto , Yosuke Takada , Benjamin Ryan , Shelby Garner , Burcu Bayramoğlu , Tatsuhiko Kubo , Ryoma Kayano , Makiko K. MacDermot , Sanjaya Bhatia , Betül Kaplan Zamanov , Sinem Güzel Öztürk , Yavuz Yiğit","doi":"10.1016/j.pdisas.2026.100536","DOIUrl":"10.1016/j.pdisas.2026.100536","url":null,"abstract":"<div><div>Societal complexity can cause cascading events during disasters. A multisectoral approach is essential to minimize this effect. The Public Health System Resilience Scorecard (Scorecard), developed by the United Nations Office for Disaster Risk Reduction, World Health Organization, and partners, helps assess public health systems and identify challenges through a multisectoral approach. Although the Scorecard was used in previous studies, the learning experiences of individual participants remained unknown. This study used a qualitative approach to capture the workshop participants' understanding and experience using the Scorecard. Participants were interviewed before and after the workshop using semi-structured guidelines. The researchers analyzed the data using thematic analysis. To capture an overview, keywords such as disaster scenario/plan and preparedness of vulnerable population were utilized to gain a better understanding and explain the findings from the data. Seven themes emerged from interviews with 12 participants from both pre- and post-workshop. While participants were from earthquake-affected areas, this study indicated that the Scorecard not only provided opportunities to reflect on the strengths and weaknesses of public healthcare systems to prepare better, but also allowed participants to reflect and articulate actions needed, with an understanding of resilience, especially in the post-disaster phase.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100536"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147395960","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 : 2026-01-01Epub Date: 2026-01-17DOI: 10.1016/j.pdisas.2026.100521
P. Ortiz , R. Ortiz , M. Moreno , L. Toro-Murillo , D. Segura , I. Chuliá , J.I. Catalán , G. Contreras , J. Maqueda , J. Del Palacio , V.A. Bañuls
Emergency preparedness in Cultural Heritage (CH) relies on Safeguard Plans and drills to ensure coordination among civil protection systems, security forces, and CH professionals, enabling rapid recovery of museums, archives, libraries, and temples after emergencies. This study strengthens CH resilience by proposing Art-Risk 4, a model for digitalizing Safeguard Plans via templates and Information and Communication Technologies (ICT) and assessing their real-world applicability. Tested in five emergency drills in Valencia, Madrid, and Antequera (Spain), simulating fire, earthquake, and flood scenarios, the platform enabled real-time implementation of response protocols and recording of response times. Observers evaluated the model using semi-structured templates, SWOT analysis, and the Technology Acceptance Model, considering training and experience. Results show Art-Risk 4's flexibility across diverse CH assets, with average rescue and triage times of 18 and 6 min. Team coordination was a key strength, while reduced capacity during technological failures was the main limitation. Findings highlight both the benefits of digital safeguarding and the need for redundant analog and digital systems.
{"title":"An innovative training model for interdisciplinary disaster response teams to safeguard cultural heritage and enhance disaster risk resilience","authors":"P. Ortiz , R. Ortiz , M. Moreno , L. Toro-Murillo , D. Segura , I. Chuliá , J.I. Catalán , G. Contreras , J. Maqueda , J. Del Palacio , V.A. Bañuls","doi":"10.1016/j.pdisas.2026.100521","DOIUrl":"10.1016/j.pdisas.2026.100521","url":null,"abstract":"<div><div>Emergency preparedness in Cultural Heritage (CH) relies on Safeguard Plans and drills to ensure coordination among civil protection systems, security forces, and CH professionals, enabling rapid recovery of museums, archives, libraries, and temples after emergencies. This study strengthens CH resilience by proposing <strong>Art-Risk 4</strong>, a model for digitalizing Safeguard Plans via templates and Information and Communication Technologies (ICT) and assessing their real-world applicability. Tested in five emergency drills in Valencia, Madrid, and Antequera (Spain), simulating fire, earthquake, and flood scenarios, the platform enabled real-time implementation of response protocols and recording of response times. Observers evaluated the model using semi-structured templates, SWOT analysis, and the Technology Acceptance Model, considering training and experience. Results show Art-Risk 4's flexibility across diverse CH assets, with average rescue and triage times of 18 and 6 min. Team coordination was a key strength, while reduced capacity during technological failures was the main limitation. Findings highlight both the benefits of digital safeguarding and the need for redundant analog and digital systems.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"29 ","pages":"Article 100521"},"PeriodicalIF":3.8,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077856","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}