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This paper aims to argue that, contrary to popular thinking, technological disasters are potentially predictable, and therefore amenable to risk assessment and mitigation. What is lacking at present is a more comprehensive understanding of the hazards, embedded in complex socio‐technical systems, which lead to such disasters.

The paper discusses several factors that contribute to hazard formation and development, including the interaction of human and mechanical components, ambiguity, evolutionary changes, innovation and poor communication in organisational systems. Two case studies of recent disasters in Australia are presented to provide illustrations of the complexity in socio‐technical systems and the hazards and risks that they harbour.

The paper finds that to progress, we need two things: better conceptual models and frameworks that reveal complexity and make systems more transparent, and more satisfactory approaches to risk management.

The paper concludes with some suggestions as to how the risks might be better understood and managed proactively.

The purpose of this work is the development of a structured case study design process for developing case studies in humanitarian logistics, in particular for short-term predictable disaster situations like floods and hurricanes. Moreover, useful public sources are presented in order to enable researchers to find relevant data for their case studies more easily.

A structured framework for case study design is set up, splitting the process into different steps and phases.

The framework is applied to an illustrative example, where case studies with different numbers and levels of detail of scenarios are designed based on the three-day forecast for hurricane Harvey in 2017. The corresponding solutions demonstrate the relevance of using as much forecast information as possible in case study building, and in particular in scenario design, in order to get useful and appropriate results.

The case study design process is mostly suitable for short-term predictable disasters, but can also be adapted to other types of disasters. The process has been applied to one specific hurricane here which serves as an example.

Also for practitioners, the results of this work are highly relevant, as constructing realistic cases using real data will lead to more useful results. Moreover, it is taken into account in the case study design process that relief agencies are regularly confronted with disasters in certain areas and hence need to define the basic planning situation and parameters “once and for all” and on a long-term basis, whereas disaster specific data from forecasts are only available within a short time frame.

The new design process can be applied by researchers as well as practitioners, and the publicly available data sources will be useful to the community.

National, regional and local disaster preparedness planning requirements allow a wide range of responses. Describes a study in which such responses were cast against Quarantelli’s minimum criteria and Levin’s notion of experience as a powerful source for change. Data collection and comparative analyses were accomplished through the examination of local school district plans and policies as well as interviews with school leaders who had survived disasters. Concludes that school districts meet minimum local standards but few meet Quarantelli’s minimum; and having lived through a disaster neither served as impetus to initiate disaster preparedness plans nor resulted in plans incorporating knowledge gained.

This paper aims to examine household preparedness in response to disasters and the role of non‐profit organizations in the public's preparedness.

The study uses the context of hurricane preparedness of Central Florida residents, using the mail survey method as a data collection tool.

The findings of the study emphasize the importance of household and individual preparedness in response to natural disasters, specifically to hurricanes. If individuals are not ready, then nobody is ready. The paper finds that households, even with significant experience of disasters, can be complacent in response to disasters.

The paper focuses on household preparedness and emphasizes that the emergency management community needs to make a significant effort in training households.

Purpose – This study explores legal justifications for applying an enhanced criminal sanction to wrongs committed before, during, and after disasters.

Design/methodology/approach – This study uses recent social science evidence to evaluate the need for criminal statutes covering looting, price gouging, and other disaster-related offenses. Further, this study considers a broader historical context, identifying intersections of disaster crime and the common law's treatment of riots and public disorder.

Findings – Although individual disaster victims and communities are vulnerable to criminal harm, and this vulnerability often appears to motivate the punishment of disaster-related crimes, it is not the only or even the strongest justification available. As an alternative approach, one could focus on the public dimension of the harm – disaster-related crimes are particularly pernicious because they threaten to undermine the legitimate governing authority of the state.

Originality/value of paper – The public-order thesis yokes current legal doctrine to longstanding common law themes and, in so doing, departs from conventional justifications for the enhanced punishment of disaster-related crime. The critical perspective offered here could be extended to criminal penalty enhancements more generally. Moreover, because the rationale for identifying and punishing wrongful conduct is the fundamental question of criminal law, even a modest reassessment has potentially far-reaching implications.

The purpose of this paper is to contribute to a more complete understanding of logistics preparedness. By comparing extant research in preparedness and logistics with findings from empirical analysis of secondary data, the authors develop a definition of and framework for logistics preparedness, along with suggestions for future research agenda.

The authors link the way in which humanitarian organizations define and aim to achieve logistics preparedness with extant academic research. The authors critically analyze public data from 13 organizations that are active in disaster relief and review papers on logistics preparedness and humanitarian logistics.

The authors found that, despite the increased attention, there is no unified understanding across organizations about what constitutes logistics preparedness and how it can contribute to improvements in operations. Based on the review of the academic literature, the authors found that the same is true for humanitarian logistics research. The lack of a common understanding has resulted in low visibility of efforts and lack of knowledge on logistics preparedness.

On the basis of extant research and practice, the authors suggest a definition of and framework for logistics preparedness with related suggestions for future studies.

Findings can help the humanitarian community gain a better understanding of their efforts related to developing logistics preparedness and can provide a better basis for communicating the need for, and results from, funding in preparedness.

Results can support improvements in humanitarian supply chains, thereby providing affected people with rapid, cost-efficient, and better-adapted responses.

The findings contribute to humanitarian logistics literature, first by identifying the issues related to the lack of a common definition. Second, the authors extend the understanding of what constitutes logistics preparedness by proposing an operationalized framework and definition. Finally, the authors add to the literature by discussing what future topics and types of research may be required.

This chapter introduces the tourism–disaster–conflict nexus through a comprehensive review of the contemporary social science literature. After reviewing conceptual definitions of tourism, disaster and conflict, the chapter explores various axes that link through this nexus. The linkages between tourism and disaster include tourism as a trigger or amplifier of disasters, the impacts of disasters on the tourism industry, tourism as a driver of disaster recovery and disaster risk reduction strategies in the tourism sector. Linkages between tourism and conflict include the idea that tourism can be a force for peace and stability, the niche status of danger zone or dark heritage tourism, the concept of phoenix tourism in post-conflict destination rebranding, tourism and cultural conflicts, and tourism’s conflicts over land and resources. Linkages between disaster and conflict include disasters as triggers or intensifiers of civil conflict, disaster diplomacy and conflict resolution, disaster capitalism, and gender-based violence and intra-household conflict in the wake of disasters. These are some of the conversations that organise this volume, and this introductory chapter ends with a summary of the chapters that follow.

The human efforts to be prepared better for the future challenges of natural disasters go back ages. Natural disasters occur when a natural event, such as an earthquake, triggers the social vulnerability. These natural disasters kill thousands of people worldwide annually and cause economic losses in millions of dollars. Moreover, the global cost of natural disasters has increased substantially, and mega-disasters occur when the need for recovery truly becomes national or international. There are several trends in nature and society, which suggest that this pattern may continue, with mega-disasters occurring more frequently in the future. In the past 100 years, the number of disasters and the number of people affected by these disasters have exponentially up surged. Thus, there is no other way to improve preparedness in a meaningful or diverse future-oriented manner.

This paper focuses on how to design and customize a conceptual foresight model in “disaster risk management” in Iran, and offers an executive model to help decision-makers in disaster management, through which an appropriate practical framework for the implementation of foresight has been developed.

The model has presented a possible framework for implementing a foresight practice within the context of disaster management. This paper particularly addresses different elements of a customized model, developed through a substantial literature review and comparative study for defining the suitable model in the disaster management context. The final model is validated using two rounds of the Delphi method, with the participation of national disaster management experts, practitioners and scientists.

Although the whole model could be used all around the world, the main source of data validating the proposed model is limited to the expert’s opinions in a developing country (I. R. Iran.) and the geographical conditions of Iran are considered as a core of attention in response to natural disasters. Based on the indicators for choosing Delphi participants and experts, only 43 qualified experts are selected to validate the model. The main focus of this research is on natural disasters issues.

This study showed that while there has been a scattered global effort to recognize the increasing uncertainties in diverse disciplines, very little work in academic foresight has been undertaken to identify how it could be implemented. In particular, a series of factors in foresight processes is identified based on the comparative study and some additional elements are added to precisely identify the disaster management context and the most suitable model for national foresight implementation in disaster management.

The main value of this research paper is to clarify the exact relationship between the two interdisciplinary fields; the relationship between the key concepts of “futures studies” and “disaster management” has been thoroughly established. Also, a specific conceptual model for enriching the “pre-foresight” stage and selecting a proper “foresight approach” in “disaster management” is provided. This model has been validated through two rounds of the Delphi method. Finally, a cumulative framework of foresight patterns that includes the new model is presented to be applied in areas especially related to “natural disaster management”.

The purpose of this paper is to identify the challenges of humanitarian logisticians with respect to different types of disasters, phases of disaster relief and the type of humanitarian organization. A conceptual model is constructed that serves as a basis to identify these challenges.

The paper is based on a country as a case, namely Ghana. Structured and unstructured data are collected in a workshop with humanitarian logisticians, and complemented with presentations of humanitarian logisticians, as they perceive their challenges. Disaster statistics and country profiles are used as secondary data.

The paper shows that some disasters defy a categorization between natural and man‐made causes. Challenges of humanitarian logisticians depend not only on the disaster at hand, but also on the local presence of their organization. The most emphasized challenge is the coordination of logistical activities. Challenges can be managed better if attributing them to different stakeholder environments.

Applying stakeholder theory to logistics, this paper provides a greater understanding for the challenges of humanitarian logisticians.

A stakeholder categorization of the challenges of humanitarian logisticians helps to find potential collaboration partners as well as to mitigate these challenges.

Humanitarian logistics is a rather new field in logistics literature. What is more, there is a lack of empirical cases in the field. This paper proposes a conceptual model based on an actual empirical case.

This paper aims to address a location-distribution-routing problem for distributing relief commodities during a disaster under uncertainty by creating a multi-stage model that can consider information updates during the disaster. This model aims to create a relief network that chooses distribution centers with the highest value while maximizing equity and minimizing response time.

A hybrid algorithm of adaptive large neighborhood search (ALNS) and multi-dimensional local search (MDLS) is introduced to solve the problem. Its results are compared to ALNS and an augmented epsilon constraint (AUGMECON) method.

The results show that the hybrid algorithm can obtain high-quality solutions within reasonable computation time compared to the exact solution. However, while it yields better solutions compared to ALNS, the solution is obtained in a little longer amount of time.

In this paper, the uncertain nature of some key features of the relief operations problem is not discussed. Moreover, some assumptions assumed to simplify the proposed model should be verified in future studies.

In order to verify the effectiveness of the designed model, a case study of the Sarpol Zahab earthquake in 2017 is illustrated and based on the results and the sensitivity analyses, some managerial insights are listed to help disaster managers make better decisions during disasters.

A novel robust multi-stage linear programming model is designed to address the location-distribution-routing problem during a disaster and to solve this model an efficient hybrid meta-heuristic model is developed.