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Pre-positioning and distributing relief items are important parts of disaster management as it simultaneously considers activities from both pre- and post-disaster stages. This study aims to address this problem with a novel mathematical model.

In this research, a bi-objective mixed-integer linear programming model is developed to tackle pre-positioning and distributing relief items, and it is formulated as an integrated location-allocation-routing problem with uncertain parameters. The humanitarian supply chain consists of relief facilities (RFs) and demand points (DPs). Perishable and imperishable relief commodities (RCs), different types of vehicles, different transportation modes, a time window for delivering perishable commodities and the occurrence of unmet demand are considered. A scenario-based game theory is applied for purchasing RCs from different suppliers and an integrated best-worst method-technique for order of preference by similarity to ideal solution technique is implemented to determine the importance of DPs. The proposed model is used to solve several random test problems for verification, and to validate the model, Iran’s flood in 2019 is investigated as a case study for which useful managerial insights are provided.

Managers can effectively adjust their preferences towards response time and total cost of the network and use sensitivity analysis results in their decisions.

The model locates RFs, allocates DPs to RFs in the pre-disaster stage, and determines the routing of RCs from RFs to DPs in the post-disaster stage with respect to minimizing total costs and response time of the humanitarian logistics network.

Natural disasters profoundly influence agricultural trade sustainability. This study investigates the effects of natural disasters on agricultural production imports in China within 2002 and 2018. This exploration estimates the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations.

This investigation uses Probit, Logit, Cloglog and Ordinary Least Squares (OLS) models.

The results confirm the mediating role of transportation infrastructure and agriculture value-added and the moderating role of government effectiveness and diplomatic relations in China. According to the findings, natural disasters in trading partners heighten the risk to the agricultural imports. This risk raises, if disasters damage overall agricultural yield or transportation infrastructure. Moreover, governments’ effective response or diplomatic ties with China mitigate the risk. Finally, the effect of disasters varies by the developmental status of the country involved, with events in developed nations posing a greater risk to China’s imports than those in developing nations.

China should devise an early warning system to protect its agricultural imports by using advanced technologies such as data analytics, remote sensing and artificial intelligence. In addition, it can leverage this system by improving its collaboration with trading partners, involvement in international forums and agreement for mutual support in crisis.

The purpose of this study is to identify LGBTQ+ perceptions of and experiences with hazards, vulnerabilities and disasters in the San Francisco Bay Area in the USA and to co-develop applied projects to “queer” disaster knowledge production and risk reduction activities in the region.

This is a community science project in which we collaborate with community members to enhance both community and scientific knowledge with the goal of utilizing it to produce a positive change to pressing social issues and their underlying causes. We do this through a series of four focus group workshops to identify community priorities, hazards, vulnerabilities and local action. We follow this with further ethnographic research and projects to apply findings from phase one.

The authors have found that: LGBTQ+ people in the Bay Area have unique experiences with hazards, vulnerabilities and disasters; there are significant gaps in the representation of LGBTQ+ hazard exposure in local scientific models that we can address through alternative methodologies; and tabletop exercises, learning modules and podcasts help orient and train disaster response agencies and personnel on LGBTQ+ inclusive operations.

This initiative entails novel approaches to community science for disaster risk reduction and creative collaboration with community-based organizations to foster the development of LGBTQ+ inclusive disaster risk reduction and response.

This paper is a critique of Western modernity and the problems and promises of postmodernism in (re)liberating disaster studies. It criticizes metanarratives and grand theories of Western discourses to advance postmodern discourses in disaster studies.

This paper outlines a conceptual domain through which approaches of postmodernism can be employed to (re)liberate disaster studies.

Metanarratives and grand theories frame the scope and focus of disaster studies. But the increasing number and the aggravated impacts of disasters and environmental challenges in the late 20th and early 21st centuries are proofs that our current “frames” do not capture the complexities of disasters. Postmodernism, in its diversity and various meanings, offers critical and complementary perspectives and approaches to capture the previously neglected dimensions of disasters.

Postmodernism offers ways forward to (re)liberate disaster studies through ontological pluralism, epistemological diversity and hybridity of knowledge.

The agenda of postmodernism in disaster studies is proposed in terms of the focus of inquiry, ontological and epistemological positionalities, research paradigm, methodologies and societal goals.

The study aims to propose a decision-support system to determine the location of a regional disaster logistics warehouse. Emphasizing the importance of disaster logistics, it considers the criteria to be evaluated for warehouse location selection. It is aimed to determine a warehouse location that will serve the disaster victims most efficiently in case of a disaster by making an application for the province of Izmir, where a massive earthquake hit in 2020.

The paper proposes a fuzzy best–worst method to evaluate the alternative locations for the warehouse. The method considers the linguistic evaluations of the decision-makers and provides an advantage in terms of comparison consistency. The alternatives were identified through interviews and discussions with a group of experts in the fields of humanitarian aid and disaster relief operations. The group consists of academics and a vice-governor, who had worked in Izmir. The results of a previously conducted questionnaire were also used in determining these locations.

It is shown how the method will be applied to this problem, and the most effective location for the disaster logistics warehouse in Izmir has been determined.

This study contributes to disaster preparedness and brings a solution to the organization of the logistics services in Izmir.

Natural disasters cause serious operational risks and disruptions, which further impact the food supply in and around the disaster-impacted area. Resilient functions in the supply chain are required to absorb the impact of resultant disruptions in perishable food supply chains (FSC). The present study identifies specific resilient functions to overcome the problems created by natural disasters in the FSC context.

The quality function deployment (QFD) method is utilized for identifying these relations. Further, fuzzy term sets and the analytical hierarchy process (AHP) are used to prioritize the identified problems. The results obtained are employed to construct a QFD matrix with the solutions, followed by the technique for order of preference by similarity to the ideal solution (TOPSIS) on the house of quality (HOQ) matrix between the identified problems and functions.

The results from the study reflect that the shortage of employees in affected areas is the major problem caused by a natural disaster, followed by the food movement problem. The results from the analysis matrix conclude that information sharing should be kept at the highest priority by policymakers to build and increase resilient functions and sustainable crisis management in a perishable FSC network.

The study suggests practical implications for managing a FSC crisis during a natural disaster. The unique contribution of this research lies in finding the correlation and importance ranking among different resilience functions, which is crucial for managing a FSC crisis during a natural disaster.

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.

This paper argues that extractivist logic creates the environmental conditions that produce “natural” hazards and also the human conditions that produce vulnerability, which combined create disasters. Disaster Risk Creation is then built into the current global socio-economic system, as an integral component not accidental by-product.

As part of the movement to liberate disasters as discipline, practice and field of enquiry, this paper does not talk disasters per se, but rather its focus is on “extractivism” as a fundamental explanator for the anthropogenic disaster landscape that now confronts us.

Applying a gender lens to extractivism as it relates to disaster, further highlights that Disaster Risk Management rather than alleviating, creates the problems it seeks to solve, suggesting the need to liberate gender from Disaster Risk Management, and the need to liberate us all from the notion of managing disasters. Since to ‘manage’ disaster risk is to accept uncritically the structures and systems that create that risk, then if we truly want to address disasters, our focus needs to be on the extractive practices, not the disastrous outcomes.

The fundamental argument is that through privileging the notion of “disaster” we create it, bring it into existence, as something that exists in and of itself, apart from wider socio-economic structures and systems of extraction and exploitation, rather than recognising it for what it is, an outcome/end product of those wider structures and systems. Our focus on disaster is then misplaced, and perhaps what disaster studies needs to be liberated from, is itself.

Using critical disaster studies and state theory, we assess the disaster aid platform named Lebanon Reconstruction, Reform and Recovery Framework (3RF) that was put in place by international donors in the aftermath of the Beirut Port Blast in August 2020, in order to examine the effectiveness of its inclusive decision-making architecture, as well as its institutional building and legislative reform efforts.

The paper uses the case study approaach and relies on two original data sets compiled by authors, using desk reviews of academic literature and secondary data, in addition to 24 semi-structured expert interviews and participant observation for two years.

The aid platform appears innovative, participatory and effectively functioning toward recovery and reform. However, in practice, the government dismisses CSOs, undermines reforms and dodges state building, whereas the 3RF is structured in incoherent ways and operates according to conflicting logics, generating inertia and pitfalls that hinder effective participatory governance, prevent institutional building, and delay the making of projects.

The research contributes to critical scholarship as it addresses an important research gap concerning disaster aid platforms’ institutional design and governance that are under-studied in critical disaster studies and political studies. It also highlights the need for critical disaster studies to engage with state theory and vice-versa.

The research contributes to evaluations of disaster recovery processes and outcomes. It highlights the limits of disaster aid platforms’ claims for participatory decision-making, institutional-building and reforms.

The paper amplifies critical disaster studies, through the reflexive analysis of a case-study of an aid platform.

This conversation highlights the need to rethink how we approach disaster risk reduction in different South Asian contexts.

This paper is based on the webinar held as part of Asia Week at the University of Copenhagen which was organised by Asian Dynamics Initiative and Copenhagen Centre for Disaster Research on the September 12, 2023.

The prominent themes emerging from this conversation represents hybridity, self-rule and self-recovery. Along with this we suggest a fundamental turn to ensuring hope, solidarity and empathy is part of a post-colonial future.

The conversation contributes to the ongoing discussions on moving away from colonial practices in disaster risk reduction and disaster studies broadly.