A cost optimization model and solutions for shelter allocation and relief distribution in flood scenario

Mollah, Amlan K.; Sadhukhan, Sounak; Das, Prasun; Anis, M. Z.

doi:10.1016/j.ijdrr.2017.11.018

Cited by 42 publications

(25 citation statements)

References 34 publications

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“…Constructs and Items References Internet of Things (IoT) 1 My organization utilizes internet of things (IoT) for inter-organization information transfer (IoT1).…”

Section: Appendix S/nomentioning

confidence: 99%

“…[34] Block chain Technology (BCT) 1 We use distributed ledger technology to share information during disaster relief operations (BT1).…”

Section: Appendix S/nomentioning

confidence: 99%

“…Human suffering has increased recently owing to the increase in both the frequency and magnitude of disasters that are likely to increase more in the future because of climate change [1]. Disasters badly disrupt the working condition of a territory and the functioning of a locality while leading to losses of humane, economic, material, and environment that are outside the ability of populace's capacity by using its very own assets.…”

Section: Introductionmentioning

confidence: 99%

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Integration of Internet-of-Things With Blockchain Technology to Enhance Humanitarian Logistics Performance

et al. 2021

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There has been incredible interest in Internet-of-Things (IoT) and blockchain technology (BCT) around the world and across sectors. Following great achievement in the other sectors, the implementation of IoT and BCT have gained great interest in Humanitarian Logistics (HL) at many levels despite remaining in an earlier stage. The profit and non-profit organizations both are under increasing worldwide pressure for transparency, with donors and governments calling for enhanced transparency and information exchange in the humanitarian sector. This study, which is based on transactive memory systems (TMS) theory perspectives, proposes a study framework to understand "how can the transparency, public trust, and coordination in HL be improved through the integration of IoT with BCT?". We framed and tested six research hypotheses, using data collected from Humanitarian Organizations (HOs) employees. We have applied a Covariance-based structure equation model (CB-SEM) with confirmatory factor analysis (CFA). This study results confirm that our all hypotheses were supported. The research results show that the association between explanatory variables (i.e., IoT and BCT) and the response variables (i.e., public trust and coordination) is mediated by transparency. This study provides substantial and valid contributions to the literature on IoT, BCT, transparency, public trust and coordination. This study proves that transparency plays a crucial role in enhancing public trust, coordination, and ultimately HL performance through the integration of IoT with BCT. The study results could be helpful for all the stakeholders of disaster risk management since they are insistently looking for strategies to support afflicts. Our study is a good candidate solution to raise awareness of fast, fair, and safe HL to reveal research gaps and provide opportunities for future research. The study will provide an enormous understanding of IoT and BCT in HL, which has not been investigated empirically before.

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“…Constructs and Items References Internet of Things (IoT) 1 My organization utilizes internet of things (IoT) for inter-organization information transfer (IoT1).…”

Section: Appendix S/nomentioning

confidence: 99%

“…[34] Block chain Technology (BCT) 1 We use distributed ledger technology to share information during disaster relief operations (BT1).…”

Section: Appendix S/nomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integration of Internet-of-Things With Blockchain Technology to Enhance Humanitarian Logistics Performance

et al. 2021

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“…But, its single individual evolution method cannot grasp the entire search space, which makes its search efficiency not high [20,28]. GA is a global search algorithm based on the theory of evolution and the natural rule of "survival of the fittest" [29]. GA has been widely applied in real-world problems as it is very robust and has strong global search capabilities [30].…”

Section: Improved Sa-pso Algorithmmentioning

confidence: 99%

Multiobjective Optimization on Hierarchical Refugee Evacuation and Resource Allocation for Disaster Management

Wang

Shen

2020

Mathematical Problems in Engineering

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This paper studies a location-allocation problem to determine the selection of emergency shelters, medical centers, and distribution centers after the disaster. The evacuation of refugees and allocation of relief resources are also considered. A mixed-integer nonlinear multiobjective programming model is proposed to characterize the problem. The hierarchical demand of different refugees and the limitations of relief resources are considered in the model. We employ a combination of the simulated annealing (SA) algorithm and the particle swarm optimization (PSO) algorithm method to solve the complex model. To optimize the result of our proposed algorithm, we absorb the group search, crossover, and mutation operator of GA into SA. We conduct a case study in a district of Beijing in China to validate the proposed methodology. Some computational experiments are conducted to analyze the impact of different factors, such as the target weight setting, selection of candidate shelters, and quantity of relief resources.

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“…In general, studies on shelter accessibility have examined a broad array of factors, including traffic location assessment using simple qualitative research and quantitative evaluation (Thanvisitthpon, 2017;Rus et al, 2018;Faruk et al, 2018), facility location modeling (Ng et al, 2010;Kulshrestha et al, 2014;Mollah et al, 2017) and route optimization planning (Campos et al, 2012;Goerigk et al, 2014;Khalid et al, 2018) using complex overall planning modeling and computer simulations. The studies specific to tsunami shelter accessibility have mainly focused on two aspects: evacuation traffic system on a technical level and adaptive capacity with an environmental focus.…”

Section: Introductionmentioning

confidence: 99%

Strategies to increase the accessibility of tsunami shelters enhances their adaptive capacity to risks in coastal port cities: The case of Nagoya City, Japan

Zhang

Yun

2018

Preprint

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Abstract. Coastal areas face a significant risk of tsunami after a nearby heavy earthquake. Comprehensive coastal port cities often complicate and intensify this risk, due to the high vulnerability of their communities and liabilities associated with secondary damage. Accessibility to tsunami shelters is a key measure of adaptive capacity in response to tsunami risks and should therefore be enhanced. This study integrates the hazards that create risk into two dimensions: hazard-product risk and hazard-affected risk. Specifically, the hazard-product risk measures the hazard occurrence's probability, intensity, duration, and extension in a system. The hazard-affected risk measures the extent to which the system is affected by the hazard occurrence. This enables the study of specific strategies for responding to each kind of risk, to enhance accessibility to tsunami shelters. Nagoya City in Japan served as the case study; the city is one of the most advanced tsunami-resilient port cities in the world. The spatial distribution of the hazard-product risk and hazard-affected risk was first visualized in 165 School District samples, covering 213 km2 using a Hot Spot Analysis. The results suggest that the rules governing the distribution of these two-dimensional (2D) risks are significantly different. By refining the tsunami evacuation time-space routes, traffic location related indicators, referring to three-scale traffic patterns with three-hierarchy traffic roads, are used as accessibility variables. Two-way Multivariate Analysis of Variance (MANOVA) was used to analyse the differences in these accessibility variables to compare the 2D risk. MANOVA was also used to assess the difference of accessibility between high-level risk and low-level risk in each risk dimension. The results show that tsunami shelter accessibility strategies, targeting hazard-product risk and hazard-affected risk, are significantly different in Nagoya. These different strategies are needed to adapt to the risk.

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A cost optimization model and solutions for shelter allocation and relief distribution in flood scenario

Cited by 42 publications

References 34 publications

Integration of Internet-of-Things With Blockchain Technology to Enhance Humanitarian Logistics Performance

Integration of Internet-of-Things With Blockchain Technology to Enhance Humanitarian Logistics Performance

Multiobjective Optimization on Hierarchical Refugee Evacuation and Resource Allocation for Disaster Management

Strategies to increase the accessibility of tsunami shelters enhances their adaptive capacity to risks in coastal port cities: The case of Nagoya City, Japan

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