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Integrating forecast-based action and government-led social protection programs for flood response 将基于预测的行动与政府主导的社会保护计划结合起来,以应对洪水
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-12-13 DOI: 10.1016/j.pdisas.2025.100506
Rashel Mahmud, Sonia Binte Murshed, Faisal Mahmud Sakib, Shampa, Mashfiqus Salehin
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.
洪水是最普遍的自然灾害之一,经常造成生计损失、人口流离失所和社会经济发展受挫。基于预测的行动(FbA)等预见性方法在减少灾害影响方面获得了突出地位,因为它使预报信息引发的早期干预成为可能。与此同时,许多国家实行社会保护制度,为弱势群体提供持续支持。在孟加拉国,经常发生的河流洪水与普遍的贫困同时发生,FbA和SP机制都存在,但它们的互补性仍未得到充分利用。本研究利用Chilmari Upazila在2020年洪水事件中的证据,探讨了如何将FbA与政府主导的SP计划联系起来,以加强预期的洪水响应。采用混合方法设计,结合入户调查、焦点小组讨论、关键信息提供者访谈和地理空间分析。调查结果表明,15 - 17%的FbA受益人已经被纳入了养老金计划,如老年、寡妇和残疾津贴,这表明有可能通过建立的名单快速锁定目标。然而,90%以上的受影响家庭没有得到覆盖,这表明在外联方面存在巨大差距。该研究强调,将FbA与SP相结合提供了一种实用的、可扩展的途径,可以将预期行动制度化,并增强洪水易发地区的抵御能力。
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引用次数: 0
Rural households' vulnerability to drought and implications for resilience: Insights from Bushbuckridge, Mpumalanga, South Africa 农村家庭对干旱的脆弱性及其对抗灾能力的影响:来自南非普马兰加省Bushbuckridge的见解
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2026-01-24 DOI: 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.
南部非洲日益频繁的干旱给依赖资源的人口带来了压力,并限制了他们建立抗灾能力。本研究调查了南非普马兰加省布什巴克里奇的农村社区如何感知和应对Niño-induced干旱。本研究采用包括调查和访谈在内的混合方法,考察了家庭的意识、敏感性和适应能力,以及影响这些维度的因素。研究结果表明,气候意识越强的家庭越能认识到El Niño-related干旱对农业、畜牧业和当地经济的潜在影响。有成员从事当地非农业活动或流动劳动力的家庭表现出更高的适应能力,但在敏感性方面也更容易受到影响,因为对外部收入的依赖往往会减少农场劳动力和适应努力。社交网络的出现既是一种资产,促进了适应信息的传播,也是一种负担,有时会强化错误信息,推迟对基于科学的战略的采用。性别动态也影响适应能力,男性户主家庭通常有更多的资源和劳动力来实施适应措施。这些发现突出表明,韧性不仅仅由物质资源决定,而是由意识、生计多样化、社会关系和资产获取的性别相互作用产生的。该研究强调,需要采取韧性举措,加强地方推广服务,改善风险沟通,并在解决性别限制的同时调动社会网络,以支持农村社区及时、知情和公平地适应干旱。
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引用次数: 0
Parametric modelling for temporary housing areas: Integrating multi-source standards with multi-objective optimisation 临时住房区域的参数化建模:多源标准与多目标优化的整合
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2026-01-10 DOI: 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.
灾后规划需要在极端的时间压力和认知负荷下做出快速而有质量意识的决策,在这种情况下,传统方法经常失败。虽然广泛的研究通过多标准决策分析和基于gis的方法解决了选址问题,但在通过算法整合来自多个机构来源的人道主义空间标准的内部场地布局的计算生成方面仍然存在关键差距。本研究开发了一个生成式设计框架,将参数化建模与多目标进化优化相结合,以解决这一差距。它将SPHERE协会、难民专员办事处和国家准则的定性标准转化为临时住房区的定量设计参数。该方法分三个阶段进行:(1)系统地从国际(地球资源、难民专员办事处)和国家(AFAD、城市规划师协会)资料中提取和综合空间参数;(2)在Rhino-Grasshopper®中进行参数化建模,对设计参数进行编码;(3)利用NSGA-II遗传算法进行多目标优化,以平衡庇护所容量最大化和500米行人到服务中心的可达性。该框架应用于Ümraniye国家花园,这是伊斯坦布尔一个预先指定的15公顷的临时住宅场地,产生了2500种设计方案,确定了50种帕雷托最优配置,涵盖了高密度解决方案(1737个单元,19%在500米内可达)到可达性优化布局(1222个单元,92%可达)的容量可达性权衡。这项研究提供了一个可复制的、标准信息的计算工作流程,系统地协调多源人道主义标准,并通过多目标优化生成站点布局,超越组件级优化和以评估为中心的方法。通过为决策者提供多种帕累托最优方案,而不是单一的预定解决方案,该框架将临时住房设计从静态的手工起草转变为灵活的、基于证据的生成过程,适用于危机决策环境。
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引用次数: 0
“You can never unhear that”: Gendered mental health and emotional labor in civilian volunteer search-and-rescue organizations “你永远不会听不见”:民间志愿搜救组织中的性别心理健康和情绪劳动
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2026-02-22 DOI: 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.
性别极大地影响着个人对灾难的反应、经历和恢复。过去的性别和灾难研究考察了性别角色、志愿服务和心理健康;然而,很少有研究关注这些主题的交集。利用来自8个不同民间志愿搜救组织的民族志研究数据,本研究考察了志愿者的心理和情感健康经历,以及他们如何讨论这些经历。调查结果显示,这些经历是由性别分工决定的,男性扮演划船者的角色,女性扮演调度员和社交媒体管理员的后台志愿者。划船者通过传统的男性规范来理解他们的经历,最小化和划分他们的经历,同时被框定为“救援者”。后端志愿者对心理健康经历的描述不同,因为他们的位置是“第一接触点”,并且因为这个位置而花费了额外的情绪劳动。从这项研究中获得的见解提供了证据,表明性别是志愿者在灾难环境中如何体验和讨论心理健康的关键结构因素。
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引用次数: 0
Predicting and segmenting donor behavior under disaster exposure: A socio-technical and data-driven approach: Evidence from natural disasters in Chile 灾害暴露下捐助者行为的预测和细分:社会技术和数据驱动的方法:来自智利自然灾害的证据
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-12-03 DOI: 10.1016/j.pdisas.2025.100493
Luis Yáñez-Sandivari , Sebastián Ríos , Cristián Cáceres , Angelo León
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
本研究提出了一个综合的社会技术和数据驱动的框架,以模拟灾害环境中捐助者行为的心理和环境决定因素。从人工智能的角度来看,该研究引入了一种混合架构,将多组、多层次和验证性结构方程建模(SEM)与基于半监督自编码器的聚类策略相结合,用于潜在剖面识别。MIMIC(多指标多原因)扩展进一步将潜在构式与可观察到的捐赠频率联系起来,连接亲社会行动的态度和行为维度。从工程和人道主义物流的角度来看,该框架增强了灾害暴露下捐助者行为的预测和分割。该模型基于智利受灾个人的调查数据,结合了社会脆弱性、太阳痛(环境退化造成的情绪困扰)、剥夺成本、恢复力和气候相关焦虑等有效概念。确定了五种不同的心理捐助者概况,对其进行了行为验证,并将其与减少材料趋同和优化资源分配的业务影响联系起来。研究结果提供了一条社会技术途径,将社会心理评估与人道主义后勤决策相结合,提高预期能力、行为预测和公平供应分配。该研究提供了一个可复制的框架,将以人为中心的行为建模与操作优化联系起来,支持更具适应性和弹性的灾害响应系统
{"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 ,&nbsp;Sebastián Ríos ,&nbsp;Cristián Cáceres ,&nbsp;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}
引用次数: 0
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 巴塘河流域水土流失易发区RUSLE模型及空间化研究——以巴塘河流域为例
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-12-03 DOI: 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.
侵蚀造成的土地退化仍然是热带河流流域面临的一个持续挑战。然而,许多使用修订通用土壤流失方程(RUSLE)的评估没有明确量化哪些因素对侵蚀影响最大,这在设计有针对性和具有成本效益的干预措施方面留下了空白。本研究将空间RUSLE模型与定量敏感性分析相结合,以确定巴洛坡市巴唐河流域侵蚀的主要物理和土地利用驱动因素,从而解决了这一方法上的差距。利用野外数据、DEMNAS和卫星图像分析了四个参数——降雨侵蚀力(R)、土壤可蚀性(K)、坡度特征(LS)和覆盖管理(CP)。侵蚀率从轻微到极端严重(15-450吨/公顷/年)不等,由于陡峭的地形和植被损失,西部盆地的侵蚀率最高。敏感性结果表明,土壤侵蚀和CP对侵蚀变率的影响最大,其中CP在可控因子中敏感性系数最高,表明其在快速缓解中具有战略作用。这些发现突出了RUSLE与敏感性分析相结合的附加价值,以加强与侵蚀相关的决策支持。该研究的结论是,侵蚀风险地图和因素敏感性应该通过告知分区和保护优先事项来指导城市空间规划,特别是帕洛珀城市空间规划。关键的缓解办法包括在居民区设置渗水孔、在陡坡上设置阶地,以及在严重退化土地上有针对性地恢复植被,并辅以以社区为基础的斜坡管理和改进的土地利用做法。
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引用次数: 0
Strengthening climate resilience in coastal Bangladesh: Analyzing the role of NGOs in adaptation governance from an intersectionality lens 加强孟加拉国沿海地区的气候适应能力:从交叉视角分析非政府组织在适应治理中的作用
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-12-07 DOI: 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。
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引用次数: 0
Modeling social interest dynamics after earthquake disasters: A time-series analysis of newspaper coverage using STL decomposition and two-phase decay models 地震灾害后社会利益动态建模:基于STL分解和两阶段衰减模型的报纸报道时间序列分析
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2025-12-19 DOI: 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.
大地震吸引了大量的媒体报道和公众关注,但是它们的衰变动态以及它们在不同报纸版面上的变化仍然没有得到充分的研究。本研究定量考察了1995年阪神-浅地大地震和2011年东日本大地震后的长期社会利益。使用26年的报纸语料库,我们按部分(例如,本地新闻,社会新闻,观点)对文章进行分类,并分析每月的数量。我们使用黄土(STL)应用季节趋势分解来将持续兴趣从峰值(例如,周年纪念日)中分离出来,然后是结合初始指数下降和长期幂律衰减的两阶段衰减模型。我们的研究结果显示了明显的对比:东日本大地震的报道范围更广,持续时间更长,衰减速度更慢——可能是由于其核事故维度。相比之下,对阪神-淡路地震的报道是不规则的,也不那么持续,很大程度上受到相互竞争的新闻事件的影响。地方和社会新闻板块对这两种情况都提供了持久的报道,强调了它们在维持集体记忆方面的作用。我们还发现,东日本大地震大约在40个月左右出现了一个转换点,标志着从交流到文化记忆的转变,而阪神-浅地地震的转变稍微晚一些,也更不规则。本研究提供了一个新的定量框架,整合了议程设置、问题-关注周期和新闻-记忆研究,阐明了媒体关注如何形成、巩固记忆和重置议程。它展示了媒介在建构和保存集体记忆中的动态作用。
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引用次数: 0
Beyond scoring on public health system resilience: A qualitative study of the scorecard application 超越对公共卫生系统弹性的评分:记分卡应用的定性研究
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2026-02-18 DOI: 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.
在灾难期间,社会复杂性可能导致连锁事件。要尽量减少这种影响,就必须采取多部门办法。由联合国减少灾害风险办公室、世界卫生组织和合作伙伴开发的公共卫生系统复原力记分卡(记分卡)有助于通过多部门方法评估公共卫生系统并确定挑战。虽然在以前的研究中使用了记分卡,但个体参与者的学习经历仍然未知。本研究使用了定性方法来捕捉研讨会参与者使用记分卡的理解和经验。在研讨会前后使用半结构化指南对参与者进行了采访。研究人员使用主题分析来分析数据。为了获得概述,使用了诸如灾难情景/计划和弱势群体准备等关键词来更好地理解和解释数据中的发现。从对12名研讨会前后参与者的采访中得出了7个主题。虽然参与者来自地震灾区,但这项研究表明,计分卡不仅提供了反思公共医疗系统的优势和劣势的机会,以更好地做好准备,而且还允许参与者在了解恢复力的情况下,特别是在灾后阶段,反思和阐明所需的行动。
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引用次数: 0
An innovative training model for interdisciplinary disaster response teams to safeguard cultural heritage and enhance disaster risk resilience 跨学科灾害应对团队的创新培训模式,以保护文化遗产和增强灾害风险抵御能力
IF 3.8 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2026-01-01 Epub Date: 2026-01-17 DOI: 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.
文化遗产应急准备依赖于保障计划和演习,以确保民防系统、安全部队和文化遗产专业人员之间的协调,使博物馆、档案馆、图书馆和寺庙在紧急情况下能够迅速恢复。本研究提出了Art-Risk 4,这是一个通过模板和信息通信技术(ICT)将保障计划数字化的模型,并评估了其在现实世界中的适用性,从而增强了CH的弹性。该平台在瓦伦西亚、马德里和安特奎拉(西班牙)进行了五次应急演习,模拟了火灾、地震和洪水等场景,实现了响应协议的实时实施和响应时间的记录。考虑到培训和经验,观察员使用半结构化模板、SWOT分析和技术接受模型对模型进行评估。结果显示,Art-Risk 4在不同CH资产中的灵活性,平均救援和分类时间分别为18分钟和6分钟。团队协调是一个关键的优势,而技术故障期间的能力下降是主要的限制。研究结果强调了数字保护的好处和冗余模拟和数字系统的需求。
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Progress in Disaster Science
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