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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.

Recent earthquake-induced liquefaction events and associated losses have increased researchers’ interest into liquefaction risk reduction interventions. To the best of the authors’ knowledge, there was no scholarly literature related to an economic appraisal of these risk reduction interventions. The purpose of this paper is to investigate the issues in applying cost–benefit analysis (CBA) principles to the evaluation of technical mitigations to reduce earthquake-induced liquefaction risk.

CBA has been substantially used for risk mitigation option appraisal for a number of hazard threats. Previous literature in the form of systematic reviews, individual research and case studies, together with liquefaction risk and loss modelling literature, was used to develop a theoretical model of CBA for earthquake-induced liquefaction mitigation interventions. The model was tested using a scenario in a two-day workshop.

Because liquefaction risk reduction techniques are relatively new, there is limited damage modelling and cost data available for use within CBAs. As such end users need to make significant assumptions when linking the results of technical investigations of damage to built-asset performance and probabilistic loss modelling resulting in many potential interventions being not cost-effective for low-impact disasters. This study questions whether a probabilistic approach should really be applied to localised rapid onset events like liquefaction, arguing that a deterministic approach for localised knowledge and context would be a better base for the cost-effectiveness mitigation interventions.

This paper makes an original contribution to literature through a critical review of CBA approaches applied to disaster mitigation interventions. Further, this paper identifies challenges and limitations of applying probabilistic based CBA models to localised rapid onset disaster events where human losses are minimal and historic data is sparse; challenging researchers to develop new deterministic based approaches that use localised knowledge and context to evaluate the cost-effectiveness of mitigation interventions.

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.

The purpose of this paper is to explore the impact of earthquakes on the labor market. The authors try to estimate the impact of two major earthquakes (Izmir and Elazig) in Turkey.

In order to analyze the effects of devastating earthquakes in the nearby regions of the province where the earthquake took place, on the labor market, monthly and annual data from the TUIK and ISKUR database will be used. For this purpose, the authors consider the earthquake a natural experiment and employ a Synthetic Control Method (SCM). In addition, the analysis will be carried out using seasonally adjusted data, taking into account the seasonal effects of the monthly data to be used in the study.

The results show that the impact varies based on the labor market structure of the regions. While the earthquake positively affects the labor market of agriculture-oriented regions, it harms the labor market of nonagricultural-oriented regions.

A major limitation of the study is that we cannot fully separate the impact of Covid-19 from our estimate. The authors believe that Covid-19 overestimates the negative impact of earthquakes on the labor market.

Earthquakes have adverse effects on the labor market. The estimation of the earthquake-related costs may provide a useful guide on policy planning and government incentives.

The originality of the study lies in the fact that this is the first study to evaluate how the dynamics of the labor market has changed as a result of the earthquakes that have taken place in Turkey, within the framework of causality.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0568

The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators.

To achieve this aim, construction of the urban seismic resilience assessment indicators system was conducted and 20 indicators covering five dimensions, namely building and lifeline infrastructure, environment, society, economy and institution were identified. Following this, this study used evidence fusion theory and intuitionistic fuzzy sets to process the information from experts then developed the fuzzy total interpretive structure model.

A total of 20 urban seismic resilience assessment indicators are reconstructed into a hierarchical and visual system structure including five levels. Indicators in the bottom level including debris flow risk, landslide risk, earthquake experience and demographic characteristics are fundamental indicators that significantly impact other indicators. Indicators in the top level including open space, gas system and public security are direct indicators influenced more by other indicators. Other indicators are in middle levels. Results of MICMAC analysis visually categorize these indicators into independent indicators, linkage indicators, autonomous indicators and dependent indicators according to driving power and dependence.

This paper attempts to explore relationships of urban seismic resilience assessment indicators with the interpretive structural model method. Additionally, Fuzzy total interpretive structure model is developed combined with evidence fusion theory and intuitionistic fuzzy sets, which is the extension of total interpretive structure model. Research results can assist the analytic network process method in assessing urban seismic resilience in future research.

The duration of an urban search and rescue (USAR) operation directly depends on the number of rescue teams involved. The purpose of this paper is to simplify the earthquake environment and determine the initial number of rescuers in earthquake emergencies in USAR operation.

In the proposed methodology, four primary steps were considered: evaluation of buildings damage and the number of injured people by exerting geospatial information system (GIS) analyses; determining service time by means of task allocation; designing the simulation model (queuing theory); and calculation of survival rate and comparison with the time of rescue operations.

The calculation of buildings damage for an earthquake with 6.6 Richter in Tehran’s District One indicated that 18% of buildings are subjected to the high damage risk. The number of injured people calculated was 28,856. According to the calculated survival rate, rescue operations in the region must be completed within 22.33 h to save 75% of the casualties. Finally, the design of the queue model indicated that at least 2,300 rescue teams were required to provide the calculated survival rate.

The originality of this paper is an innovative approach for determining an appropriate number of rescue teams by considering the queuing theory. The results showed that the integration of GIS and the simulation of queuing theory could be a helpful tool in natural disaster management, especially in terms of rapid vulnerability assessment in urban districts, the adequacy and appropriateness of the emergency services.

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.

This study aims to clarify the following research questions: to what extent do people consider natural disaster risks as important for residential selection? what personal demographics and attitudes toward natural disaster risks are associated with the relative importance of natural disasters for residential selection? and to what extent do the associated personal attributes influence the relative importance of natural disasters for residential selection?

An internet-based survey was performed to collect 2,000 responses from residents of Osaka Prefecture, Japan, to gauge people’s relative importance of safety against natural disasters regarding residential preference. The obtained results were analysed using two types of statistical analysis, specifically chi-square test and multivariable logistic regression analyses.

It was found that 37.3% of the respondents in Osaka Prefecture, Japan, considered the “safety against natural disasters” relatively important when selecting a residential location. The statistical analysis also demonstrated that those having a relatively higher level of disaster awareness and preparedness were 1.41 times more likely to prefer to live in a place that is safer from natural disasters. Thus, it was suggested that disaster education aimed at raising the level of people’s disaster awareness could be effective to increase the number of people who choose to live in a safer place from natural disasters.

Living in an area that is safer from natural disasters can effectively minimize human and property damage. Recently, several measures have been taken in Japan to guide people to live in a safer place. The clarification of the extent to which people consider natural disaster risks as important for residential selection and the understanding of the categories of the people who are likely to do so is important to develop more effective natural disaster measures; however, there has been less attention on such investigation. Therefore, this study conducted an internet-based survey and examined it.

This paper aims to examine the integration of lateral transshipment and road vulnerability into the humanitarian relief chain in light of affected area priority to address equitable distribution and assess the impact of various parameters on the total average inflated distance traveled per relief item.

After identifying comprehensive critical criteria and subcriteria, a hybrid multi-criteria decision-making framework was applied to obtain the demand points’ weight and ranking in a real-life earthquake scenario. Direct shipment and lateral transshipment models were then presented and compared. The developed mathematical models are formulated as mixed-integer programming models, considering facility location, inventory prepositioning, road vulnerability and quantity of lateral transshipment.

The study found that the use of prioritization criteria and subcriteria, in conjunction with lateral transshipment and road vulnerability, resulted in a more equitable distribution of relief items by reducing the total average inflated distance traveled per relief item.

To the best of the authors’ knowledge, this study is one of the first research on equity in humanitarian response through prioritization of demand points. It also bridges the gap between two areas that are typically treated separately: multi-criteria decision-making and humanitarian logistics.

This is the first scholarly work in Shiraz focused on the equitable distribution system by prioritization of demand points and assigning relief items to them after the occurrence of a medium-scale earthquake scenario considering lateral transshipment in the upper echelon.

The paper clarifies how to prioritize demand points to promote equity in humanitarian logistics when the authors have faced multiple factors (i.e. location of relief distribution centers, inventory level, distance, lateral transshipment and road vulnerability) simultaneously.

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.