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Forensic archaeology and anthropology have developed significantly over past decades and now provide considerable assistance to the investigation process of disaster victim recovery and identification. In what are often chaotic death and crime scenes, the formal process of utilizing archaeological methods can bring control, order, and ensure systematic search. Procedures assist in defining scene extent, locating victims and evidence, rule out areas for consideration, and provide standardized recording and quality assurance through dedicated use of standardized forms (pro formas). Combined archaeological and anthropological search methods maximize opportunities to recovery the missing through identifying remains, mapping distributions, and providing accounting of victims at the scene. Anthropological assistance in examinations contributes to individual assessment, resolving commingling and fragmentation issues, and utilizing DNA sampling methods and matching data to reassociate and account for the missing. Utilization of archaeology, anthropology, and DNA matching data provides scope to review crime scene recovery and determine requirements and potential for further survey and retrieval. Adopting the most suitable methods for a particular context can maximize recovery, efficiency, and resource use. Case studies demonstrate the utility of archaeological methods in a range of scenarios. They exemplify the success of multidisciplinary analysis in providing evidence of the sequence of events, the timing of events, the impact of taphonomic processes, the location and accounting of victims, and the demonstration of systematic scene search. The considerations provided in this article, utilizing archaeology and anthropology processes, may assist investigators in planning and implementing responses to mass fatalities. [ABSTRACT FROM AUTHOR]

The concept of social infrastructure and its role in building disaster resilience has garnered significant attention in recent years. Defined as physical spaces that foster social connections and vibrant communities, social infrastructure has been recognized as a crucial element in providing support and resources during disasters. The coronavirus disease 2019 pandemic has further emphasized the importance of enhancing social infrastructure. However, divergent perspectives exist regarding the relationship between social infrastructure and socioeconomic factors in terms of distribution. Some studies suggest that the disproportionate distribution of social infrastructure may disadvantage certain racial and socioeconomic groups. Conversely, other research highlights instances where marginalized communities with robust social infrastructure exhibit resilience despite facing social and economic challenges. This discrepancy underscores the need for further investigation to reconcile these differing descriptions. Addressing this gap, this study aims to examine the relationship between social infrastructure, socioeconomic factors, and environmental justice. Specifically, the research question guiding this study is: Is the distribution of social infrastructure in a city related to specific racial or class factors from an environmental justice perspective? Utilizing the ordinary least squares regression, this study reveals that communities with a higher proportion of the non-White population have a greater number of social infrastructures, challenging expectations based on the environmental justice literature. [ABSTRACT FROM AUTHOR]

In the context of the current global climate change, rapid urbanization, and sustained population growth, frequent natural and social disasters pose an increasingly serious threat to human life and property. The imperative to elevate the level of urban safety resilience has become a focal point in global urban disaster prevention and mitigation efforts. This study aims to examine the disaster resilience level in the central urban area of Kunming, Yunnan–Guizhou Plateau, southwest China. Our focus lies on three representative dimensions: urban ecology, transportation, and flooding, which denote the natural, social, and combined natural–social safety resilience capacities of the study area. We identified indicator factors influencing urban safety resilience, categorizing them into resistance, adaptability, and resilience components. A disaster resilience evaluation system was constructed and quantitatively expressed in a geographic information system. By comparing the levels of urban ecological, transportation, and flood safety resilience in Kunming's central urban area, we unveil safety risks and associated problems related to urbanization in the process, along with their interconnections. Our findings indicate that urban flood resilience is generally higher in mature urban areas and new districts than in urban-rural and suburban areas. Additionally, improvements in urban ecological and transportation resilience contribute to enhanced urban flood resilience. Social factors significantly impact the level of urban safety resilience. This study offers valuable insights for constructing safe and resilient cities in mountainous regions, supporting decision-making in urban disaster planning research. [ABSTRACT FROM AUTHOR]

A global movement toward disaster resilience seeks to reconceptualize societal response to shock. Yet, despite disaster resilience's interdisciplinary and collaborative components, some contemporary scholarship argues the praxis may subjugate and harm stakeholders. Seeking clarity regarding the decolonial and critical perspectives contesting Eurocentric disaster resilience, our article employs a thematic analysis to examine how disaster resilience may enshrine systemic problems of inequity and subjugation. Our findings offer new ideas to challenge dominant understanding of disaster resilience, creating a typology of overlapping characteristics and outcomes. [ABSTRACT FROM AUTHOR]

Marginalized communities disproportionately experience the impacts of climate change, including more intense flooding and longer recovery times from disasters. Youth, particularly those belonging to marginalized communities, are consistently underrepresented in infrastructure planning decisions despite being the group most impacted by the long time scales of climate change, water management, and community infrastructure decisions. This paper investigates the novel perspectives that youth bring to planning processes and resulting impacts on recommendations for green stormwater infrastructure solutions to address flooding and community-scale factors important to achieving disaster resilience. Particular attention is paid to the infrastructure benefits prioritized by youth and characteristics of selected locations for infrastructure solutions. Further, the capabilities possessed by youth to effectively advocate for specific community infrastructure changes are not well researched, and the education and resources required to transform youth advocacy into action are not well understood. Through mixed methods, including quantitative and qualitative data and analysis, this paper explores the impact of youth education on building advocacy and the ability to create implementable stormwater infrastructure designs. The research is based on the development and implementation of a new interdisciplinary program called Youth Advocacy for Resilience to Disasters (YARDs). Funded by the National Science Foundation, the YARDs program teaches youth about natural disasters, resilience, data communication, green infrastructure, and presentation skills. The curriculum was developed by interdisciplinary researcher teams, combining civil engineering, sociology, urban planning, digital media, and education research. The program was piloted as a weeklong summer program for middle school students, and later implemented as a semester-long program. Both implementations focused on students developing green infrastructure recommendations that address flooding and other student-identified risks to communicate to community decision makers. The methods are readily transferable to other potential youth programs in areas impacted by flooding with expansion to additional communities facing different combinations of disasters. [ABSTRACT FROM AUTHOR]

Over the last two decades, natural disasters have led to economic losses exceeding $2.97 trillion, causing 1.23 million deaths and affecting over 4 billion people through injuries, housing loss, displacement, and requiring emergency aid. Data have shown that physical, social, and economic inequities significantly contribute to the vulnerability of communities, especially after disasters. Therefore, low-income communities not only endure more severe and long-lasting infrastructure damage but also face over four times as many deaths per disaster. Natural disasters cause prolonged and widespread homelessness, leading to an inevitable temporary housing crisis, further exacerbated by delayed disaster recovery. This study proposes an innovative short-term Origami temporary emergency housing (TEH) solution, providing an equitable and affordable option to swiftly shelter potential victims postdisasters by considering material, construction, and transportation costs. This research aimed to address postdisaster homelessness challenges by: (1) understanding the timeframe for disaster recovery and TEH implementation following a natural disaster; (2) identifying the main challenges, vulnerabilities, and crucial needs faced by low-income communities postdisaster; (3) recognizing the key characteristics for TEH to be an adequate solution postdisaster; and (4) proposing Origami shelter as a solution for the housing crisis that arises postdisaster and validating its feasibility and applicability through surveying engineering, architecture, and construction (EAC) experts from Peru and Puerto Rico, given the frequent exposure and high vulnerability of these regions to natural disasters. The results underscore the need to implement TEH that can be quickly assembled, enabling victims to reside safely and resume normal activities while infrastructure systems and homes are being repaired or rebuilt. [ABSTRACT FROM AUTHOR]

This study investigates the intricate relationship between natural disasters and regional entrepreneurship in Türkiye, a developing nation highly vulnerable to earthquakes, floods, and other hazards. The study extends Hierarchical Multiple Regression (HMR) analysis (1990–2020, 81 NUTS-III regions), beyond existing literature focused on physical damage. Our findings reveal a counterintuitive effect: while the number of disasters and total property damage correlate positively with regional entrepreneurship, human life loss has a negative impact. This suggests a complex interplay between destruction and entrepreneurial spirit. Further analyses using Discriminant Function Analysis (DFA) and MANOVA-ANOVA for robustness check explores regional characteristics that contribute to entrepreneurial resilience against natural disasters. By comparing regions categorized by entrepreneurial performance and disaster exposure, the study identifies key differentiators. Regions with supportive business environments demonstrate greater resilience, highlighting the crucial role of fostering a strong entrepreneurial ecosystem in mitigating disaster effects. This research fills a critical gap by examining the understudied relationship between natural disasters and regional entrepreneurship, going beyond individual firm-level studies. By analysing interregional disparities and resilience factors, this paper provides valuable insights for both regional development and entrepreneurship & resilience literature. It emphasizes the importance of human capital alongside disaster preparedness and institutional quality in building regional resilience. [ABSTRACT FROM AUTHOR]

With the burgeoning threats from natural hazards and extreme weather events driven by climate change in every section and sector of society, building resilience against disasters and risks posed by climate change has become an unescapable discourse. The study's main thrust is to establish the determinants of resilience building in Zimbabwe's rural communities. The study adopted the qualitative constructivist grounded theory approach in conjunction with participatory action research to gain insights from community members and traditional leaders. A total of forty-six participants from Chimanimani District, Zimbabwe participated in the study. The findings revealed that the availability of natural and human resources, collective efficacy, government and development agency support systems, indigenous knowledge systems, and livelihood diversification were crucial determinants of resilience building for rural communities in Zimbabwe. The identified determinants for resilience building signal that these determinants need to be harnessed to inform policy and practice interventions. Furthermore, the availability of the identified determinants implies that rural communities can minimise, and prevent losses, reduce exposure to natural hazards, disasters and climate change risks and manage the impacts of natural hazards whenever they emerge. The study recommends that these determinants be complemented by access to technology, resilient community infrastructures, robust social protection systems, and hazard risk assessment participatory processes by rural communities. In addition, effective emergency and health services, among other contingent measures essential to improve community resilience. [ABSTRACT FROM AUTHOR]

This study explores the relationship between residents' disaster resilience and potential household food security in the context of natural disasters. Disaster resilience capacity consists of absorptive capacity, adaptive capacity, and transformative capacity, while household food security is composed of food availability, accessibility, and utilization. Based on data from 539 questionnaires administered to residents in Kumamoto Prefecture, Japan, this study examines households' disaster resilience capacity and food security conditions. The entropy method is adopted as a quantitative assessment approach to integrate the data, and a Tobit model is constructed to detect the correlation between households' disaster resilience capacity and food security. We draw five main findings from the results. (1) Over half of the respondents do not have good food security; moreover, food accessibility is the poorest dimension, as reflected by low scores for water purification capacity and facility preparedness. (2) Most of the respondents do not have high disaster resilience capacity; their transformative capacity is the lowest, followed by absorptive and adaptive capacity. (3) There is a significant positive correlation between disaster resilience and household food security. (4) Disaster damage experience restrains residents' food utilization. (5) The elderly and senior population may be exposed to food-borne diseases because of their low food utilization. This study provides insights into the influence of disaster resilience activities on household food security before a disaster hits. The study informs the debate on the association between disaster resilience and household food security so as to aid future disaster risk reduction management. [ABSTRACT FROM AUTHOR]

We investigated the demographic changes in American communities impacted by tornadoes from 2000 to 2010, exploring the factors influencing population recovery in tornado-affected communities, considering short-term (within one year) and long-term (2–10 years) outcomes. Using logistic regression models, we analyzed seven predictor variables to identify significant contributors to population recovery, including tornado strength, community size, population trend, and state status (Sunbelt or Snowbelt). The data encompassed 516 tornado-affected communities across the conterminous United States. Our findings revealed that about 55% of the communities experienced no significant population change immediately after the tornado event. However, 44% of the communities witnessed a population decline, and only 11% fully recovered within 2–10 years. Results indicated that community size and trends were pivotal in population recovery. Communities with negative population trends, especially those with fewer than 5,000 residents, faced significant challenges regaining their pre-tornado population size within 1 year. The data did not show a significant difference in population recovery between communities in the Sunbelt and Snowbelt regions. The study highlights the importance of community-level factors in shaping population recovery dynamics following tornado events. Understanding these factors can aid community leaders and disaster managers in formulating effective strategies to retain populations and encourage rapid recovery. Although certain limitations exist due to data availability, future researchers could explore additional factors, such as post-tornado policies and socioeconomic variables, to gain comprehensive insights into post-disaster population dynamics. Our research contributes value to social science disaster research, helping communities build resilience in the face of tornado hazards. [ABSTRACT FROM AUTHOR]

As electric vehicle (EV) adoption increases, transportation services will shift dependence from liquid fuel infrastructure to electric power infrastructure. Since transportation plays a major role in disaster response and recovery, this shift in dependence has important implications for coupling electrical grids and transport resilience. The implications for the electrical grid for southwestern British Columbia, Canada are examined, motivated by this region's high EV adoption rate and the potential for a catastrophic magnitude 9.5 earthquake. A comparison of the resilience of the electrical infrastructure compared to the fuel infrastructure is provided and approaches for increasing resilience in the region for EV power supply are discussed. This paper compiles lessons learned from past large earthquakes in Chile, Japan, and New Zealand with consideration given to successes and failures. While this paper was written with a focus on southwestern British Columbia, many of the suggestions for increasing power system resilience could be applied in other seismically active locations during the transition to EVs. This paper also considers integrated disaster resilience planning for the changing transport landscape from fuel vehicles to EVs. [ABSTRACT FROM AUTHOR]

The intentional inclusion of various perspectives is critical in disaster and hazard research to advance science and promote equitable resilience in a rapidly changing climate. However, historically underrepresented scholars like Black, Indigenous, and people of color (BIPOC), LGBTQIA2S + community members, and women are frequently absent from these efforts. Such exclusions exist as disparities in obtaining grant support, the disproportionate validation of their research or skills, limited training or mentorship opportunities, and implicit biases towards faculty members and students. As a result, many of these scholars, who frequently study communities living in precarious conditions, are absent from utilizing equipment or have limited access to resources that can ultimately assist them in their research efforts. This paper examined the experiences of such underrepresented scholars involved in disaster and environmental-related work to understand the needs, barriers, and opportunities to accessing National Science Foundation (NSF) supported resources. Across 13 key informant interviews, participants reported a myriad of structural barriers that directly impact marginalized scholars and others that limit the capacity of institutions where such scholars frequently work. These barriers exist alongside competing demands placed on marginalized scholars that strain ongoing and meaningful engagement and integration in disaster and hazard research. This study revealed considerations and recommendations for intentionally expanding NSF-funded resources to support underrepresented scholars to advance disaster and hazard scholarship through action-orientation approaches and targeted outreach and engagement strategies. [ABSTRACT FROM AUTHOR]

The frequency of global floods has increased, posing significant threats to economic development and human safety. Existing flood risk zoning studies in disaster prevention lack integration of the natural–economic–social chain and urban resilience factors. This study addresses this gap by constructing flood disaster risk and intensity indices using data from 31 provinces and 295 prefectural-level cities in China from 2011 to 2022. These indices incorporate natural (rainfall), economic (GDP), and social (population, built-up area) indicators to assess the flood likelihood and loss degree, providing comprehensive risk and intensity ratings. The study also examines the impact of resilience factors—environmental (green space), infrastructural (rainwater pipeline density), and natural resource (watershed areas)—on flood intensity. Findings reveal that high-risk regions are mainly in the Yangtze River Basin and southern regions, while high-intensity regions are primarily in the middle and lower Yangtze River and certain northwestern cities. Increasing rainwater pipeline density mitigates flood impacts in high-risk, high-intensity areas, while expanding green spaces and pipelines are effective in high-risk, low-intensity regions. This paper proposes a comprehensive flood hazard zoning mechanism integrating natural, economic, and social factors with urban resilience, offering insights and a scientific basis for urban flood management. [ABSTRACT FROM AUTHOR]

While a natural disaster or related threat may impact an organisation at some point, it is more likely (even inevitable) that it will be the victim of a cyber attack. The solution to being better prepared for these imminent attacks is to undertake more lightweight and frequent incident response (IR) exercises to help build capabilities and community through a tighter, recurring cycle of planning, conducting and assessing. To boost the facilitation of IR exercises, organisations must leverage the established relationships between business continuity management (BCM) or resilience staff (both of which are familiar with business continuity and disaster recovery exercises), and their information security office. As BCM will ultimately be involved in response and recovery after a cyber attack, it is intuitively more effective to collaborate with BCM in advance. Indeed, it has been substantiated that BCM engagement improves incident response time and reduces incident response costs. This paper concludes that involving BCM or resilience departments in IR exercises contributes to more effective responses to actual incidents. [ABSTRACT FROM AUTHOR]

Since the implementation of the HITECH Act 2009, the integration of the electronic health record (EHR) with other technology platforms has increased the complexity and necessity of technology downtimes, and the continuity of patient care has become increasingly dependent on an intact EHR. To maintain business continuity and safe patient care during planned or unplanned EHR downtime, it is imperative that organisations have solid downtime and disaster recovery plans. Successful downtime planning will include documenting, with annual reviews, the process for patient care during downtime, as well as an exercise programme that touches all aspects of the downtime process. This paper discusses the experience of a healthcare system based in the US Midwest, which has chosen to exercise part of that process on a quarterly basis, prior to scheduled EHR upgrades. Over the past year of exercises, this healthcare system has collected various data elements in order to identify the education needed and the fine-tuning of the exercise design required to ensure staff competency and patient safety during EHR downtime. The paper describes the process, outcome and the steps the organisation is taking to improve the outcomes of future EHR downtimes. [ABSTRACT FROM AUTHOR]

This study describes the network flow of social capital (SC) among regions for natural disaster resilience from the perspective of urbanization. Assistance between residents is a significant factor during natural disasters, and these ties are called SC. On the other hand, the relationship between residents in metropolitan areas is changing, and many urban residents do not interact closely with each other. This trend is accelerating with urbanization. Therefore, the networks beyond the community are essential during the disaster period. Two metropolitan areas, each with six districts, were chosen for this study. Honolulu County, Hawaii, in the U.S., is in the suburbanization stage, and Aichi prefecture, Japan, is in the reurbanization stage. SC data were collected by conducting a web-based survey, and the total number of valid samples was 1324. The quality of SC networks was analyzed compared with six types of SC, and the structure between districts was examined by the maximum flow. As a result, the SC network flow in high-population growth districts had the highest value; therefore, the high-population growth area can be the most SC exchangeable area. The mutual assistance networks, shaped by trust, empowerment, and cooperation, are strong even if urbanization progresses. On the other hand, personal relationship networks, such as safety confirmation, information exchange, and ethnically diverse acquaintances, become the weaker linkage in the transition from suburbanization to reurbanization. Finally, the use of SC networks for natural disaster resilience actions was discussed. [ABSTRACT FROM AUTHOR]

Mobile ad hoc networks (MANETs) have revolutionized wireless communications by enabling dynamic, infrastructure-free connectivity across various applications, from disaster recovery to military operations. However, these networks are highly vulnerable to security threats, particularly black hole and gray hole attacks, which can severely disrupt network performance and reliability. This study addresses the critical challenge of detecting and mitigating these attacks within the framework of the dynamic source routing (DSR) protocol. To tackle this issue, we propose a robust hybrid detection method that significantly enhances the identification and mitigation of black hole and gray hole attacks. Our approach integrates anomaly detection, advanced data mining techniques, and cryptographic verification to establish a multi-layered defense mechanism. Extensive simulations demonstrate that the proposed hybrid method achieves superior detection accuracy, reduces false positives, and maintains high packet delivery ratios even under attack conditions. Compared to existing solutions, this method provides more reliable and resilient network performance, dynamically adapting to evolving threats. This research represents a significant advancement in MANET security, offering a scalable and effective solution for safeguarding critical MANET applications against sophisticated cyber-attacks. [ABSTRACT FROM AUTHOR]

Urban communities have long been pivotal in wealth creation and technological innovation. In the contemporary context, their modus operandi is intricately tied to a diverse array of critical infrastructure systems (CISs). These systems—encompassing utilities, transportation, communication, and more—are indispensable for daily life; however, historical lessons underscore that the ever-growing interdependence among modern CISs has sapped their robustness. Furthermore, this vulnerability is compounded by the intensifying natural hazards catalysed by climate change, leaving urban communities with eroded resilience. Against this backdrop, pilot studies have harnessed breakthroughs in artificial intelligence (AI) to chart a new course toward resilient urban communities. This paper illuminates AI-driven resilience by reviewing the latest research in key aspects including (1) the limitation of state-of-the-art resilience assessment frameworks; (2) emergency response as a novel blueprint featuring swift response following catastrophes; (3) efficient loss assessment of CISs using AI algorithms; and (4) machine-learning-enabled autonomous emergency response planning. The remaining challenges and hardships faced on the journey toward resilient urban communities are also discussed. The findings could contribute to the ongoing discourse on enhancing urban resilience in the face of increasingly frequent and destructive climate hazards. [ABSTRACT FROM AUTHOR]

While urban populations are rapidly increasing around the world, floods have been frequently and seriously occurring due to the climate crisis. As existing disaster prevention facilities have specific limitations in completely protecting against flood damages, the concept of resilience, which emphasizes the ability to recover after becoming injured and harmed by a flood, is necessary to mitigate such damages. However, there is still a scarcity of studies that quantitatively show the relationship between the resilience and the socioeconomic costs, even though a variety of evaluation methods exist in the literature. This study aims to quantitively analyze the socioeconomic impact of flooding on the urban environment based on the concept of resilience. A method of evaluating four properties of resilience (redundancy, rapidity, resourcefulness, and robustness) through damage function and network analysis was used to measure changes in resilience against flood damages. In addition, to determine the socioeconomic impact of flooding, the costs incurred due to transportation delays and the lack of labor participation were evaluated. Differences in structural and social systems have led to variations in resilience and socioeconomic costs. As a future study, if the circumstances after flood events based on risk-based recovery can be evaluated, more effective urban flooding defense decisions would be expected. [ABSTRACT FROM AUTHOR]

The coastal regions of Fujian, characterized by a subtropical maritime monsoon climate, experience a high frequency of windy days throughout the year, which significantly impacts residents' lives. Local traditional villages, through long-term practical exploration, have developed a unique "maze-like" spatial layout adapted to withstand harsh wind conditions. This study aims to quantitatively analyze the climatic adaptability advantages of this traditional layout, providing theoretical support for the protection of historical cultural heritage and guidance for modern village construction. The methodology includes field wind measurement for data acquisition, construction of current and regularized divergent models, and comparative numerical simulations under scenarios of strong winter winds and typhoons. The results indicate that wind speeds within traditional villages are generally lower. The layout's nonlinear roads and clusters of buildings form multiple buffer zones that effectively reduce wind speeds. In contrast, areas in the divergent model experience excessively high wind speeds, impacting outdoor activity safety and comfort. The traditional "maze-like" layout encapsulates the climate adaptation wisdom of ancestors, enhancing wind environment regulation, thermal comfort, and disaster resilience. This layout concept merits promotion and innovative application in the new era to construct livable, green, and sustainable human environments. [ABSTRACT FROM AUTHOR]

Operational resilience is the preparedness and existence of resilient IT systems, processes and resources to provide services continuously during a disruption. This study examines the operational resilience implementation challenges and opportunities for UK building societies and wider financial institutions. The key challenges are resource constraints, understanding regulatory requirements, supplier concerns, domain knowledge, legacy systems and manual-driven processes. Some challenges are being addressed with awareness and training, improved governance and risk management, recruitment and industry support networks. The opportunities include realising the actual state of IT systems, adopting cloud solutions, resources and capabilities, as well as improved domain knowledge and a better understanding of services and markets. Regulators need to be more explicit about their expectations and requirements, while the industry needs to collaborate on setting up common frames of reference for operational resilience frameworks. Lastly, the study provides a holistic view of operational resilience, including its implementation and management challenges, control measures and emerging opportunities. [ABSTRACT FROM AUTHOR]

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Emergency service facilities play a pivotal role in mitigating the impact of fire disasters in urban areas. This research article delves into the critical aspects of analyzing service coverage for emergency facilities in relation to fire disaster risk in Chiang Rai city—a strategic hub in northern Thailand. Focusing on fire disaster risk merchandise and shops, categorized by the type of hazardous materials they store and sell, this study leverages facility location data obtained through web scraping from Google Maps. Utilizing spatial analysis and Geographic Information Systems (GISs), this research evaluates the reachability of emergency services, assessing travel times and coverage efficiency. The findings reveal significant disparities, particularly within the critical 3 min response window, highlighting the need for strategic improvements. This study offers actionable insights for urban planners and policymakers, advancing the integration of spatial technology in urban disaster management to enhance public safety and resilience. [ABSTRACT FROM AUTHOR]

The paper analyzes the concept of resilience in the context of the Cvjetno housing estate in Zagreb, Croatia, a recognized cultural and historical complex. While extensive literature exists on the estate's architectural and historical significance, limited research explores its resilience. This study aims to fill this gap by examining the Cvjetno estate's planned resilience to natural hazards and socioeconomic challenges. It investigates the estate's design, historical context, and physical characteristics through archival documents, historical records, and field research. The analysis focuses on the estate's planned resilience to natural disasters, particularly flooding from the nearby river Sava and seismic risks due to its location in a seismically active area. Based on the literature on resilient communities, the study draws on dimensions, characteristics, and qualities of resilience, and explores how the Cvjetno estate exemplifies these traits. Future research could explore and compare similar mid-20th century European settlements to enhance the understanding of urban resilience during the modern era. [ABSTRACT FROM AUTHOR]

Between 2017 and 2018, California experienced four devastating fires, including the Camp and Carr Fires. After fires, road infrastructure is crucial for safe removal of hazardous materials and waste to landfills and recycling facilities. Despite the critical role of pavements in this process, there has been little quantitative evaluation of the potential damage to pavements from truck traffic for debris removal. To address this knowledge gap, data on truck trip numbers and debris tonnage following the Camp and Carr Fires were used to calculate changes in equivalent single axle loads and traffic index over the pavement’s design life (the age at which reconstruction would be considered). Simulations were conducted on existing pavement structures to assess potential additional damage based on increased traffic indices. Pavement structural design simulations showed that out of the nine studied highways, one exhibited a reduction in cracking life of about two years from debris removal operations. However, fatigue cracking was significantly accelerated for Skyway, the major road in the Town of Paradise, failing 14.3 years before its design life. A methodology similar to the one presented in this study can be adopted in debris management planning to strategically avoid vulnerable pavements and minimize damage to the highway network.

Remote Arctic communities have often been depicted as being particularly vulnerable to the challenges of disasters, with their location and lack of infrastructure exacerbating risk. This study explores the characteristics of local resilience in the Arctic using the case study of the communities of the northwestern Westfjords. A total of 42 semi-structured interviews were carried out with various community members, seeking to uncover the features of inbuilt resilience that contribute to successes and vulnerabilities. These were transcribed, coded, and categorised in relation to an integrated framework for assessing community resilience in disaster management, which groups topics via the themes of environmental, social, governance, economic, and infrastructure. All themes played a role in the success of local coping strategies, with easy access to the natural environment central to physical and mental well-being. Despite this, vulnerabilities of the community were evident, including insufficient local healthcare workers during a severe COVID-19 outbreak in a care home, the absence of a local quarantine hotel, and insufficient information in foreign languages for non-natives of Iceland. The general trend of following rules and expert advice was demonstrative of strong social capital, with locals trusting those in charge, nationally and locally, to manage the pandemic. [ABSTRACT FROM AUTHOR]

Although demand for emotional labor (EL) is at its highest in times of disasters, there is a lack of studies on EL by disaster response and recovery workers in intercultural contexts. Using in-depth interviews and secondary data collected in Haiti, this article focuses on the link between culture and EL. We find that an understanding of the cultural context and the cultural competencies used to effectively navigate that context are central to each step of effective emotional labor performance. These findings help disaster response organizations better understand the value of cultural competence and how it effects the performance of EL. [ABSTRACT FROM AUTHOR]

Machine‐learning models play a crucial role in structural seismic risk assessment and facilitate decision‐making by analyzing complex data patterns. However, the dynamic nature of real‐world data introduces challenges, particularly data drift, which can significantly affect model performance. This adversely affects machine‐learning models intended to aid emergency responders and disaster recovery teams. This study primarily focused on assessing the impact of column corrosion‐induced data drift on the performance of machine‐learning models for seismic risk assessment of bridges. The machine‐learning model performance was evaluated with and without considering the impact of corrosion. The results revealed a significant decrease in prediction accuracy when the data drift effect was not considered. To address this challenge, this study proposes integrating principal component analysis‐based anomaly detection to enhance the model performance. The optimized model considering drift demonstrates significant improvements in accuracy across corroded bridges aged 25, 50, and 75 years, with accuracy rates increasing from 90%, 85%, and 81% to 98%, 97%, and 96%, respectively. [ABSTRACT FROM AUTHOR]

This study investigates the impact of supply chain (SC) disaster readiness on SC resilience and robustness and the subsequent impact on firms’ financial performance in the context of the COVID-19 outbreak. Drawing on the dynamic capabilities view and organisational readiness for change theory, we provide a theoretical model and assess data gathered of 398 French firms using structural equation modelling. The findings corroborate the role of SC disaster readiness in setting the stage for resilience and robustness. In addition, the results indicate the positive influence of SC resilience on financial performance; however, the effects of SC robustness on performance are not demonstrated. Based on these results, we offer theoretical and practical implications for the extant literature and provide further avenues for research. [ABSTRACT FROM AUTHOR]

Humanity faces a rising number of challenging disasters due to their increasing unpredictability and scale. While large-scale engineering solutions have been the mainstream approach, there is a growing acknowledgment that ecosystem-based disaster risk reduction (Eco-DRR) is a suitable approach in the long term due to its cost-effectiveness, social equity, and environmental sustainability. Governments worldwide are integrating Eco-DRR into policies and legislation. Here, we review the extent of integration of Eco-DRR into DRR policies and legislation in Nepal, India, and Bangladesh using content analysis based on five criteria: acknowledgment, inclusion, weighting, resources, and reflexivity. While Eco-DRR principles are acknowledged and included in the national policies of these three countries, they are not prioritized as compared to competing alternatives due to limited integration tools. Resource allocation is directed towards prevention and relief mitigation, with limited emphasis on research and capacity building, which are crucial for strengthening Eco-DRR. Notably, policy aspirations still need to be realized in legislative action. Strengthening Eco-DRR requires enhanced integration, capacity-building, and robust institutions to boost resilience.

Global suicide rates owing to disaster impacts have been confusing because of varied and unclear results. This study aimed to investigate how suicides have occurred worldwide during disasters. The methodology used included a systematic literature review and comparative analysis. The disaster exacerbation (X, bad human nature, or suicide rate rise) perspective was compared with the disaster resilience (Y, good human nature, or suicide rate fall) perspective to extract disaster ecology (Z, neutral human nature, or suicide rate fluctuation) perspective from international leaders, government officials, researchers, and disaster victims. A major theme was that the four stakeholders would adopt the Z perspective based on the fusion of X and Y perspectives (leading to X+Y=Z), while embracing heterogeneous research, proactive and long-term strategies, education, and so on. This study relied heavily on the large-scale dynamics of suicide rates than previous studies.

AbstractResilience, the process of successful adaptation to adverse circumstances, is traditionally studied as an individual characteristic. However, more recent multisystem perspectives underline the interrelatedness of systems, within and outside of the individual, in shaping coping and adaptation processes. This challenges the assumption that pathways to resilience are the same across the world, given the diversity in people’s contexts globally. In light of the preponderance of resilience research being conducted in higher-income countries, this study taps pathways to resilience in survivors of the 2018 earthquake-tsunami-liquefaction disaster in Central Sulawesi, Indonesia. Guided by a social representations approach and using a novel free association technique, forty caregiver-adolescent dyads (N = 80) who survived the disaster were interviewed regarding their subjective experiences of coping and adaptation. Thematic analysis of their narratives demonstrated that survivors focused on mutual support, religious beliefs and intrapersonal psychological resources of seeking strength and calmness as routes for fostering psychological recovery. The results foreground group-specific aspects of such resilience: differences between caregivers and adolescents highlight how social roles and life stage shape resilience-related beliefs and practices. Moreover, the form their resilience takes is underpinned by sociocultural values of reciprocity and social cohesion. Thus, this paper points to similarities in resilience processes across contexts, but also to differences shaped by societal roles, developmental stage and cultural values. [ABSTRACT FROM AUTHOR]