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Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

Each stage in disaster management faces different challenges concerning information gathering, sharing, interpretation and dissemination. However, a comprehensive understanding of different information and communication technology (ICT) systems utilised for humanitarian disaster management is limited. Therefore, the paper follows a systems thinking approach to examine ten major man-made and/or natural disasters to comprehend the influence of ICT systems on humanitarian relief operations.

A longitudinal, multi-case study captures the use of ICT tools, stakeholders involvement, disaster stages and zones of operations for relief operations over the past two decades. A systems thinking approach is utilised to draw several inferences and develop frameworks.

Multiple ICT tools such as geographic information systems, online webpages/search engines, social media, unmanned aerial vehicles/robots and artificial intelligence are used for rapid disaster response and mitigation. Speed and coordination of relief operations have significantly increased in recent years due to the increased use of ICT systems.

Secondary data on the past ten disasters is utilised to draw inferences. The developed ICT-driven model must be validated during upcoming humanitarian relief operations.

A holistic understanding of a complex inter-relationship between influential variables (stakeholders, disaster stages, zones of operation, ICT systems) is beneficial for effectively managing humanitarian disasters.

Broadly classifying the ICT systems into surveillance, decision support and broadcasting systems, a novel ICT-enabled model for humanitarian relief operations is developed.

Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds. These harsh realities make HO challenging. This study aims to systematically capture the complex dynamic relationships between operations in humanitarian settings.

To achieve this goal, the authors undertook a systematic review of the extant academic literature linking HO to system dynamics (SD) simulation.

The research reviews 88 papers to propose a taxonomy of different topics covered in the literature; a framework represented through a causal loop diagram (CLD) to summarise the taxonomy, offering a view of operational activities and their linkages before and after disasters; and a research agenda for future research avenues.

As the authors provide an adequate representation of reality, the findings can help decision makers understand the problems faced in HO and make more effective decisions.

While other reviews on the application of SD in HO have focused on specific subjects, the current research presents a broad view, summarising the main results of a comprehensive CLD.

The regular occurrence of natural disasters elevates the need for an effective method to measure organizational preparedness in responding to the adverse impact of disasters. In this context, this paper presents a new decision support model to assess organizational disaster preparedness using both subjective and objective disaster preparedness criteria in a multi-criteria decision-making context.

The statistical variance method is integrated with the proximity value index (PVI) technique to determine priority scores in order to rank organizational disaster readiness.

The results of applying the integrated model developed herein enable decision-makers to make informed decisions for assigning priority ranking of organizational disaster preparedness in a simpler and more efficient way.

Human resource is the most impacting criterion affecting hospital preparedness in undertaking action to cure disaster victims.

This paper offers an exemplar of a simple and efficient decision-making process considering the subjectivity associated with decision-making as well as the objectivity of data used for determining the priority ranking of organizational disaster preparedness.

Integrating statistical variance method with the PVI technique is novel and it has not been presented in previous studies. In fact, this study is the first to integrate both methods for selecting the priority ranking of organizational disaster preparedness.

This study aims to compare the humanitarian supply chains and logistics of two countries in earthquake preparedness by modifying and using a previously established preparedness evaluation framework.

A European flood emergency management system (FEMS) is a seven-dimensional framework to assess a country’s preparedness for flood emergencies. The FEMS framework was modified to apply to earthquakes. Leveraging a multiple explanatory case study approach with data analysis, the authors reconstructed the events of the earthquakes in Pakistan (2005) and Japan (2011) with an applied grading (1–5). Findings were evaluated within the adopted FEMS framework. From a practitioner’s perspective, the framework is applicable and can accelerate support in the field.

Pakistan lacked emergency plans before the 2005 earthquake. In contrast, Japan possessed emergency plans before the disaster, helping minimise casualties. Overall, Japan demonstrated considerably better emergency management effectiveness. However, both countries significantly lacked the distribution of responsibilities among actors.

Practical factors in the humanitarian supply chain are well understood. However, synthesising individual factors into a comprehensive framework is difficult, which the study solves by applying and adopting the FEMS framework to earthquakes. The developed framework allows practitioners a structured baseline for prioritising measures in the field. Furthermore, this study exemplifies the usefulness of cross-hazard research within emergency management and preparedness in a real-world scenario.

This study aims to track and integrate past research concerning how tourism might improve natural disaster management, detect thematic research areas and develop an agenda for future research.

Using a systematic literature review methodology, this research synthesises academic papers indexed in the Scopus, Web of Science and EBSCOhost (Hospitality & Tourism Complete) databases. A total of 34 articles published in peer-reviewed English journals were systematically selected for review and analysed using a thematic approach.

This review highlights a growing interest in the potential and value of tourism for disaster management. Eight key themes emerged in the review, including education and information communication about disasters; tourism facilities for disaster preparation; tourism resources in emergency conditions; livelihoods and economic recovery; disaster-related tourism attractions for recovery; destination re-branding and re-framing; community reinvigoration in tourism-driven disaster recovery; and special-interest tourism for recovery. A natural disaster management schematic empowered by tourism highlights tourism industry opportunities to positively impact the entire disaster management process.

To the best of the authors’ knowledge, this work offers the first systematic review of the research on how tourism might support multiple stages of natural disaster management. This study thus complements and enriches extant literature reviews on the nexus between tourism and disaster management. The framework presents timely guidelines for planners, developers and other key stakeholders to leverage tourism initiatives to improve disaster management outcomes.

本研究旨在追溯和整合以往研究中关于旅游业如何提升自然灾害管理的实践和发现, 明确主要研究领域并提出未来研究议程。

通过系统文献综述方法, 本研究综合了Scopus, Web of Science和EBSCOhost（Hospitality & Tourism Complete）数据库中索引的学术论文。共有34篇发表在同行评审的英文期刊上的文章被系统地筛选出来, 随后使用主题分析方法进行分析。

文献综述发现, 学者和行业实践者对旅游业在灾害管理方面的潜力和价值越来越感兴趣。综述分析发现了八个关键领域：灾害的教育和信息交流; 旅游设施用于备灾; 旅游资源用于紧急情况; 生计和经济复苏; 灾难相关的旅游吸引物; 灾难地品牌重塑和重构; 旅游业驱动的社区灾后重振; 灾后重建中的特殊兴趣旅游。本文设计了由旅游业赋权的自然灾害管理示意图, 突出了旅游业对整个灾害管理进程产生的积极影响和潜在机会。

本文首次系统地回顾了旅游业如何支持多个自然灾害管理阶段的相关研究。此项研究补充和丰富了关于旅游业与灾害管理之间关系的现有文献综述。该框架为规划者、开发商和其他主要利益相关者在利用旅游举措来改善灾害管理方面提供了及时的指导方针。

Este estudio identifica e integra las investigaciones anteriores sobre cómo el turismo podría mejorar la gestión de desastres naturales, detecta áreas temáticas de investigación y elabora una agenda para la investigación futura.

Usando una metodología de revisión sistemática de la literatura, esta investigación sintetiza artículos académicos indexados en las bases de datos Scopus, Web of Science y EBSCOhost (Hospitality & Tourism Complete). Se seleccionaron sistemáticamente un total de 34 artículos publicados en revistas inglesas con revisión por pares para su revisión y análisis mediante un enfoque temático.

Esta revisión pone de relieve el creciente interés por el potencial y el valor del turismo en la gestión de desastres. En la revisión surgieron ocho temas clave: la educación y la comunicación de información sobre desastres; instalaciones turísticas para la preparación ante desastres; recursos turísticos en condiciones de emergencia; medios de subsistencia y recuperación económica; atracciones turísticas relacionadas con los desastres para la recuperación; cambio de marca y replanteamiento del destino; revitalización de la comunidad en la recuperación de desastres impulsada por el turismo; y el turismo de interés especial para la recuperación. Un esquema de gestión de desastres naturales potenciado por el turismo pone de relieve las oportunidades de la industria turística para influir positivamente en todo el proceso de gestión de desastres.

Este trabajo ofrece la primera revisión sistemática de la investigación sobre cómo el turismo podría apoyar las múltiples etapas de la gestión de desastres naturales. Este estudio complementa y enriquece la bibliografía existente sobre el nexo entre el turismo y la gestión de desastres. El marco presenta directrices oportunas para que los planificadores, los promotores y otras partes interesadas clave aprovechen las iniciativas turísticas para mejorar los resultados de la gestión de desastres.

Disasters continue to be most prevalent and severe for marginalised communities. To reach those furthest behind first, as the global community pledges in the 2030 Agenda, a critical assessment of equity in disaster risk governance is necessary. Yet, the understanding of factors that mediate the capacity of the governance processes to achieve equity ambitions is limited. This paper addresses this gap by proposing and testing a conceptual framework to assess equity in disaster risk governance.

The framework analyses the extent to which institutional relationships and data in risk governance support inclusion and diversity of voice and enable the equitable engagement of communities. The study applied the framework to key risk policies across governance levels in Brazil and Colombia.

The study finds that institutional awareness of cross-sectoral and -scalar coordination clearly exists. Yet, the engagement of actors further down the governance scale is framed reactively at all scales in both countries. The analysis of the risk data practices indicates that although data integration and sharing are key policy priorities, the policies frame the relations of disaster risk data actors as hierarchical, with data needs determined from the top down.

A key contribution of this framework is that its equity view results in a nuanced analysis, thus pointing to the differences between the two countries concerning the factors that mediate these challenges and providing specific entry points for strengthening equity in risk governance policies.

The purpose of this study is to clarify changes in people-place interrelationship and hidden layers of survivors psychological challenges in the reconstructed housing environment, the 2003 Bam and 2017 Ezgeleh-Sarpol Zahab earthquakes occurred in Iran, because perception of earthquake risk in residential dwellings and traumatic experiences during and after its occurrence are among stressful events making communities face with various spectrum of emotional and cognitive consequences. Such events shape memory “traumascapes” and cause changes in mental schemas and as a result, altering decisions and behavioral responses in long-term familiar environments. Because, in the disaster-affected communities, psychological recovery will be greatly influenced by residential experiences.

The current research was performed with a qualitative and multicase study design, and data were collected using deep and semistructured private interviews and discussions in focus groups with participation of 33 people by narrative technique.

According to findings, people are facing enduring cognitive disruptions regarding home concept and its location as a safe and secure paradigm. Findings showed that there are a considerable amount of behavioral responses and emotional consequences in the form of protective behaviors, severe sensitivity to environmental stimuli, fears, phobias in residential dwellings and disturbances in place attachments.

It is noteworthy that despite all time and place differences, the two studied communities had significant similarities in earthquake traumatic experiences and perceptions and also resulting conscious and subconscious responses.

Rural building practices, especially in developing communities, are often plagued by inadequate local construction knowledge and a limited understanding of the best building practice guidelines. This has contributed significantly to compounding the effect of significant catastrophic events. The purpose of this paper is to examine the potential impact of disaster knowledge management (DKM) on improving housing resilience and makes particular reference to the 2005 earthquake in rural Pakistan.

Our research uses a comprehensive literature review that involves a qualitative approach to research aimed at understanding the 2005 earthquakes, their impacts, reconstruction challenges and DKM. Conventional published journals, articles, previous case studies and books were included. But importantly, to take in relevant local information, the review also took in published government reports, disaster mitigation policy documents, national and international NGOs publications, conference proceedings and news articles. More than 80 research papers and conference proceedings over 21 years, from 2001 to 2021, were analyzed in eight major online databases. These include Google Scholar, Science Direct, Research Gate, Scopus, Jstor, Springer, Emerald and Semantic Scholar.

The investigation identified that DKM has an important role to play in capacity building and technical knowledge transmission relating to seismic guidelines aimed at improving housing resilience. Consequently, a theoretical framework was developed, focused primarily on the post-2005 rural reconstruction mechanism and the identification of key challenges to disseminating seismic guidelines effectively in relation to rural construction practices.

This paper makes an original contribution by developing a DKM framework via the identification of key challenges that need to be addressed, in relation to rural construction practices, generally, but particularly in the Pakistan context.