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Turkey hosts the majority of Syrians who fled their country due to the Syrian Civil War that started in 2011, and Syrians mostly live in the provinces most affected by the Kahramanmaraş earthquakes. The purpose of this study is to analyze the effect of the presence of disadvantaged population on disaster risk in Turkey, a disaster country, through the Kahramanmaraş earthquakes and Syrian asylum-seekers, based on the claim that the vulnerability caused by this additional population residing in the provinces most affected by the Kahramanmaraş earthquakes is a factor that will increase the disastrousness of the earthquakes.

Based on the mathematical model used in the calculation of the Human Development Index, the study comparatively calculates the vulnerability of the Turkish and Syrian populations residing in the earthquake-affected provinces by taking into account population density, gender, age, education and employment factors.

The findings of the analysis show that the vulnerability of Syrian asylum seekers in Kilis, Gaziantep and Hatay provinces is higher than the vulnerability of the Turkish population.

This paper shows significant findings on the effects of disadvantaged groups residing in a disaster-prone area concerning the consequences of the devastating earthquakes that occurred on February 6, 2023 in the southern region of Turkey.

Due to significant differences between urban and rural areas in terms of geographical environment, building scale, resident culture, social organization and other aspects, the post-disaster recovery and reconstruction models for both exhibit substantial variation. This study identifies critical strategic issues that must be addressed in housing reconstruction in the context of different social structures of urban–rural “integration” and urban–rural “dualization” to achieve the goal of “building back better” in the future.

By taking the experience of the 5.12 Wenchuan earthquake and the Taiwan 9.21 earthquake as a reference, this study provides a thematic analysis and systematic summary of the entire process of post-disaster housing reconstruction.

A successful housing reconstruction process should actively engage disaster-affected populations through participatory institutional design. Providing a diverse housing reconstruction model can coordinate the interests of the government, the market and affected individuals, promoting harmony of residential, productive and ecological functions. However, it can also lead to the division of existing communities.

This research relies on existing literature, government publications, academic studies and news reports, which may carry inherent biases or omissions. Future research can benefit from conducting more extensive and long-term post-reconstruction surveys to assess the sustained impact of recovery efforts while also considering additional data sources to ensure comprehensive and unbiased analyses.

With the support of post-disaster reconstruction policies, diverse changes in land use can lead to urban and rural spatial pattern reform and sustainable regional development, providing a reference for formulating optimal strategies.

This study carries significant societal implications by addressing critical strategic issues in housing reconstruction within varying urban–rural social structures. It highlights the importance of engaging affected populations through participatory design and harmonizing government, market and individual interests. The research introduces strategies for activating rural construction land quotas and creating new funding sources, promoting sustainable regional development. Its findings contribute to post-disaster reconstruction models, offering valuable insights for policymakers and stakeholders, ultimately leading to more effective and inclusive recovery efforts and benefiting disaster-prone areas worldwide.

This research primarily investigates the market circulation patterns of urban and rural land under different social structures, delves into the strategies for sources of housing reconstruction funding, along with an assessment of their effectiveness.

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 study is to investigate the concept of “earthquake resistance” in high-rise buildings and assess the current level of structural strength in the areas where these structures are situated. The study aims to identify and implement necessary measures to enhance resilience in these areas. A comprehensive literature review was conducted to develop a conceptual framework focusing on earthquake resistance's meanings, stages and physical elements to achieve these goals.

This study focuses on Istanbul, a city known for its high earthquake risk, specifically targeting the Atasehir district. The research utilizes the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method to evaluate urban resilience parameters. Additionally, the Fuzzy TOPSIS (Preference Ranking Technique by Similarity) method is employed to analyze the location of five buildings in Atasehir, using criterion weights derived from this methodology.

The findings indicate that resilience varies depending on the distance of the buffers. Moreover, the amount and quality of urban equipment in the study areas have a significant impact on the earthquake resistance level of the surrounding areas where high-rise buildings are situated. Building upon this analysis, the study suggests the implementation of measures aimed at augmenting the quantity and quality of urban facilities in the study areas, consequently enhancing urban resilience.

The originality and value of this study lie in its examination of seismic resilience within the context of high-rise buildings and the identification of necessary measures to increase resilience in areas where these structures are prevalent. By focusing on Istanbul, a city with a high earthquake risk, and specifically selecting the Atasehir district as the study area, this research provides a comprehensive conceptual framework for understanding urban resilience and its physical components. Moreover, the study offers a fresh perspective on urban resilience by highlighting the influence of tall buildings on the surrounding areas. Ultimately, it provides practical recommendations for architects, urban planners and other stakeholders to improve regional earthquake resilience.

Natural calamities like earthquakes, floods and epidemics/pandemics like COVID-19 significantly disrupt almost all the supply networks, ranging from medicines to numerous daily/emergency use items. Supply Chain Resilience is one such option to overcome the impact of the disruption, which is achieved by developing supply chain factors with Artificial Intelligence (AI) and Big Data Analytics (BDA).

This research examines how organizations using AI and BDA can bring resilience to supply chains. To achieve the objective, the authors developed the methodology to gather useful information from the literature studied and developed the Total Interpretive Structural Modeling (TISM) by consulting 44 supply chain professionals. The authors developed a quantitative questionnaire to collect 229 responses and further test the model. With the analysis, a conceptual and comprehensive framework is developed.

A major finding, this research advocates that supply chain resilience is contingent upon utilizing supply chain analytics. An empirical study provides further evidence that the utilization of supply chain analytics has a positive and favorable effect on the flexibility of demand forecasting to inventory management, resulting in increased efficiency.

Few studies demonstrate the impact of advanced technology in building resilient supply chains by enhancing their factors. To the best of the authors' knowledge, no earlier researcher has attempted to infuse AI and BDA into supply chain factors to make them resilient.

This study draws on the conservation of resources logic to theorize the role of firm resilience in explaining variations in entrepreneurial well-being under varying conditions of supply chain disruption and dependency ratio.

The study uses ex-post survey data from 373 women entrepreneurs in diverse agricultural supply chains in Ghana, a sub-Saharan African country. Moderated regression analysis is employed to test the research hypotheses.

The results indicate that firm resilience has both positive and negative relationships with economic and subjective well-being, depending on the level of supply chain disruption and dependency ratio women entrepreneurs face. Notably, the findings suggest that firm resilience contributes more to economic and subjective well-being of women entrepreneurs when dependency ratio is low and supply chain disruption is high.

The study integrates firm resilience research and entrepreneurial well-being literature to provide new insights into theorizing and analyzing the benefit of firm resilience for women entrepreneurs’ well-being.

To strengthen the resilience of Algerian cities subject to major hazards, this study aims to propose an evaluation of the capacity of the road network and open space (unbuilt spaces of the city) to respond to the postearthquake crisis for the evacuation and rescue of victims after a destructive earthquake.

The presented method was practiced by the Japan International Cooperation Agency (JICA) and the Algerian Center for Applied Research in Earthquake Engineering (CGS) for the seismic microzoning study of the city of Algiers. The criterion, “Emergency evacuation and rescue facility” was applied to the city of Boudouaou as a tool for the evaluation of the road network and open space, and the analysis used Geographic Information System (GIS) data based on experimental indices conducted in Japan.

The assessment presents vulnerability maps showing the location of urban areas of high vulnerability to accessibility for evacuation and rescue of disaster victims at the time of the earthquake. The paper offers managers the possibility of decreasing the vulnerability rate of the city by preventive remedies, such as providing refuge areas for disaster victims and widening streets to facilitate the passage of rescue workers in vulnerable areas before the arrival of the earthquake.

To the best of the authors’ knowledge, being the first to present an evaluation of the road network and open space in the face of seismic risk in the region studied, the article demonstrates the importance of urban resilience in reducing human and material losses during a destructive earthquake.

Earthquakes pose a significant challenge to human safety and the durability of infrastructure, highlighting the urgent need for innovative disaster management strategies. This study addresses the gap in current earthquake disaster management approaches, which are often related to issues of transparency, centralization and sluggish response times. By exploring the integration of blockchain technology into seismic hazard management, the purpose of the research is to overcome these limitations by offering a novel framework for integrating blockchain technology into earthquake risk mitigation and disaster management strategies of smart cities.

This study develops an innovative approach to address these issues by introducing a blockchain-based seismic monitoring and automated decision support system for earthquake disaster management in smart cities. This research aims to capitalize on the benefits of blockchain technology, specifically its real-time data accessibility, decentralization and automation capabilities, to enhance earthquake disaster management. The methodology employed integrates seismic monitoring data into a blockchain framework, ensuring accurate, reliable and comprehensive information. Additionally, smart contracts are utilized to handle decision-making and enable rapid responses during earthquake disasters, offering an effective alternative to traditional approaches.

The study results highlight the system’s potential to foster reliability, decentralization and efficiency in earthquake disaster management, promoting enhanced collaboration among stakeholders and facilitating swift actions to minimize human and capital loss. This research lays the foundation for further exploration of blockchain technology’s practical applications in other disaster management contexts and its potential to transform traditional practices.

Current methodologies, while contributing to the reduction of earthquake-related impacts, are often hindered by limitations such as lack of transparency, centralization and slow response times. In contrast, the adoption of blockchain technology can address these challenges and offer benefits over various aspects, including decentralized control, improved security, real-time data accessibility and enhanced inter-organizational collaboration.

Studies on land acquisition (LA) and recovery simulations have garnered considerable attention amidst climate change. Previous literature has reported that LA and relocation contribute to reducing repetitive disaster losses or downzoning (limiting development). However, studies on decision-making about resettlement or relocation for landowners or decision-makers for disaster-impacted lands are limited. This study aims to qualitatively illustrate LA program schemes for recovery, and identify the underlying concepts of LA in Italy, the United States and Japan. By doing so, this study contributes to construction of future agent-based recovery simulations.

This study seeks to identify a variety of LA models in different contexts to provide input for future works. This study employed multiple case studies to explore common and contrasting results, and identify varied LA concepts. The methodology involved a literature review, including official reports, to examine the timeframes of LA projects qualitatively, complemented using aerial photos to confirm related land use changes pre- and post-LA.

The results indicate that buyout programs in the United States enhance renaturalization in flood-prone areas as a downzoning approach. In contrast, LA in Japan focuses on the continuation of communities or neighborhoods through the recovery and relocation process. In Italy, LA is used to contribute to supporting the tradition/legacy of historic housing and facilities for post-disaster temporary dwellings, reflecting an underlying concept of “tradition and legacy.”

This comparative study fills a research gap by focusing on LA concepts, and its novelty lies in finding the underlying concepts of LA in three countries. Through international comparison, it suggests that LA in Japan could incorporate conservation of the historical town center or the opportunity for downzoning.

In this paper, we explore the impact of land management practices on post-disaster housing, to draw lessons from the case of reconstruction in Türkiye.

We conducted two qualitative case studies of two reconstruction experiences following the 2020 Elazığ and İzmir earthquakes. We analyzed 70 articles, technical reports and press releases and then used a set of policy analysis tools to examine five policy documents in depth. Finally, we wanted to understand how key officers interpreted these policy documents, so we closely analyzed the transcripts of eight semi-structured interviews.

Türkiye’s legal framework comprises five main policies that concentrate power in the central government and are not tailored to post-disaster reconstruction. This framework facilitates the construction of rubber-stamped apartment buildings, which disregard cultural and social contexts and practices. The current reconstruction policy neglects alternative options like cooperative housing, which could better respond to communal needs and expectations. It also often leads to the loss of land rights among affected residents.

We only analyzed decision-making processes in two case studies and based our study on a limited number of interviews. Therefore, it is difficult to generalize our results and apply them to other contexts. Further quantitative and qualitative work is necessary to conceptualize the links between land management and post-disaster housing reconstruction.

Our findings suggest a need for legislative frameworks specifically designed to address land management during post-disaster reconstruction. The concentration of power in central governments is problematic, thus it remains crucial to empower local authorities by reinforcing technical expertise and facilitating administrative autonomy.

This study offers unique insights into how power relations influence land management practices in post-disaster housing reconstruction. Examining the centralization of power and its impact on cultural and social practices identifies common forms of dispossession and points to key areas for policy improvement.