Post-Disaster Temporary Shelters Distribution after a Large-Scale Disaster: An Integrated Model

Gharib, Zahra; Tavakkoli–Moghaddam, Reza; Bozorgi-Amiri, Ali; Yazdani, Maziar

doi:10.3390/buildings12040414

Cited by 20 publications

(11 citation statements)

References 78 publications

(127 reference statements)

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“…Only Lemardel et al [62] explored the problem of vehicles waiting for dispatched UAV returns. Notably, Gharib et al [63,64] developed an integrated model for planning the delivery of construction materials to post-disaster reconstruction projects and an integrated model for the distribution of post-disaster temporary shelters after a large-scale disaster. They effectively integrated the time window, route constraint, distribution cost, etc., so as to minimize the maximum service time, maximize the route reliability and minimize the unmet demand, which is of great reference significance.…”

Section: Introductionmentioning

confidence: 99%

Vehicle and UAV Collaborative Delivery Path Optimization Model

Líu²,

Lai³

et al. 2022

Mathematics

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In the context of frequent public emergencies, emergency logistics distribution is particularly critical, and because of the unique advantages of unmanned aerial vehicles (UAVs), the model of coordinated delivery of vehicles and UAVs is gradually becoming an essential form of emergency logistics distribution. However, the omission of start-up costs prevents the cost of UAV battery replacement and the sorting, assembly and verification of packages from being factored into the total cost. Furthermore, most existing models focus on route optimization and delivery cost, which cannot fully reflect the customer’s desire for service satisfaction under emergency conditions. It is necessary to convert the unsatisfactory degree of time window into a penalty cost rather than a model constraint. Additionally, there is a lack of analysis on the mutual waiting cost between vehicles and UAVs when one of them is performing delivery tasks. Considering the effects of the time window, customer demand, maximum load capacity, and duration of distribution benefits, we propose a collaborative delivery path optimization model for vehicles and UAVs to minimize the total distribution cost. A genetic algorithm is used to obtain the model solution under the constraints of distribution subloops, distribution order, and take-off and landing nodes. To assess the efficacy of the vehicle and UAV collaborative delivery path optimization model, this paper employs a county-level district in Xi’an city as a pilot area for an emergency delivery. Compared with the vehicle-alone delivery model, the UAV-alone delivery model and vehicle-UAV collaborative delivery model, this model can significantly reduce the utilization of distribution vehicles while also significantly lowering the start-up cost, waiting cost and penalty cost. Thus, the model can effectively improve delivery timeliness and customer satisfaction. The total cost of this model is 39.2% less than that of the vehicle-alone delivery model and 16.5% less than that of the UAV-alone delivery model. Although its delivery cost is slightly higher than the vehicle-UAV collaborative delivery model, the reduction in the start-up cost and penalty cost decrease the overall cost of distribution by 11.8%. This suggests that to cut costs of all sizes and conserve half of the resources used by vehicles, employing the vehicle-UAV collaborative delivery model for emergency distribution is preferable. Moreover, the model integrating the start-up cost, penalty cost, waiting cost, etc., can more effectively express the requirements of timeliness for UAV delivery under emergency conditions.

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Section: Introductionmentioning

confidence: 99%

Vehicle and UAV Collaborative Delivery Path Optimization Model

Líu²,

Lai³

et al. 2022

Mathematics

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“…The increasing trend in the frequency and intensity of disasters [1,2] has had significant impacts on human lives, assets, social systems, and values exposed to hazards [3]; and their consequences are severe for households [4]. The paradigm shift in disaster management to disaster risk reduction is the main thrust of the Sendai Framework for Disaster Risk Reduction's (DRR) emerging concept of resilience in policies and practices [5].…”

Section: Introductionmentioning

confidence: 99%

Social, Economic, Environmental, and Physical Vulnerability Assessment: An Index-Based Gender Analysis of Flood Prone Areas of Koshi River Basin in Nepal

Guragain

Doneys

2022

Sustainability

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Gender analysis in vulnerability assessments is needed in disaster risk reduction (DRR). This study examined headship-based household vulnerabilities in the Koshi River Basin of Nepal. This comparative study between male-headed households (MHHs) and female-headed households (FHHs) analyzed the social, infrastructural, economic, and environmental components of vulnerability assessments. A mixed method was used to collect data, including a survey of 216 households, 15 key informant interviews, 40 in-depth interviews, and 8 focus group discussions. The results from the weightage average index (WAI) revealed that the FHHs are more vulnerable in all components. Social and physical components show greater vulnerability for FHHs compared to economic and environmental components. The t-test showed that the difference in multidimensional vulnerability is highly significant (F = 3.423, p-value = 0.000). The WAI calculation showed 42%, 51%, and 7% FHHs and 6%, 35%, 49%, and 10% of MHHs are in very high, high, moderate, and low levels of vulnerability, respectively. Sociocultural norms were the main factors driving the gap which affected households’ ability to respond to and recover from flood disasters and impacted the DRR process. The study suggests that more attention is given to FHHs through increased access to services, capacity building, awareness training, livelihood initiatives, participation in preparedness activities, and inclusion in the DRR process to minimize the impact of floods in the future, particularly for FHHs.

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“…In the past decades, the rising frequency and severity of disasters have posed a severe threat to human society [ 1 ]. The hazard-inducing factors, evolutionary mechanisms, and hazardous forms of disasters have changed significantly owing to human society’s digitization, networking, and urbanization [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

“…However, the conception of local emergency resilience under the new situation is still unclear. Moreover, for the complexity [ 11 ] and uncertainty [ 1 ] of compound disaster, could the local emergency resilience be measured with limited information, and how could it be applied? Does the local resilience have spatial correlations under the background of cross-regional and cross-sector cooperation?…”

Section: Introductionmentioning

confidence: 99%

Gray Measure and Spatial Distribution Exploration of Local Emergency Resilience on Compound Disasters

Tang

et al. 2022

IJERPH

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The complexity and uncertainty of compound disasters highlight the significance of local emergency resilience. This paper puts forward a framework, including the Projection Pursuit Model based on Real-coded Accelerating Genetic Algorithm and the Moran’s Index (Moran’s I), to measure the local emergency resilience and analyze its spatial distribution. An empirical test is conducted with the case of Hubei Province, China. The results show that: (1) the measurement indices related to infrastructure, material reserves, and resource allocation have a larger weight, while those related to personnel and their practice have a smaller weight. (2) The measurement value of local emergency resilience of sub-provincial regions in Hubei Province is vital in the eastern and weak in the western, and there are apparent east-west segmentation and north-south aggregation characteristics. (3) Although the sub-provincial regions do not show significant spatial correlation, the eastern regions centered on Wuhan are negatively correlated, and the western regions are positively correlated. Furthermore, this study provides theories and methods for local emergency resilience evaluation and spatial correlation exploration, and it has specific guidance recommendations for optimizing local emergency management resource allocation and improving local emergency resilience.

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Post-Disaster Temporary Shelters Distribution after a Large-Scale Disaster: An Integrated Model

Cited by 20 publications

References 78 publications

Vehicle and UAV Collaborative Delivery Path Optimization Model

Vehicle and UAV Collaborative Delivery Path Optimization Model

Social, Economic, Environmental, and Physical Vulnerability Assessment: An Index-Based Gender Analysis of Flood Prone Areas of Koshi River Basin in Nepal

Gray Measure and Spatial Distribution Exploration of Local Emergency Resilience on Compound Disasters

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