An Emergency Shelter Location Model Based on the Sense of Security and the Reliability Level

Wang, Yiying; Xu, Zeshui

doi:10.1007/s11518-023-5550-3

Cited by 3 publications

(3 citation statements)

References 38 publications

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“…Zhang proposed the concept of emergency efficiency satisfaction and established a robust optimization model for siting emergency material base [18]. Wang used a safety function to describe the distanceperceived cost, constructed an emergency base siting model based on reliability and safety-perceived level, and also solved the model using an improved simulated annealing [19]. These studies have been validated and proved the feasibility of the model.…”

Section: Literature Reviewmentioning

confidence: 99%

Site Selection of Multi-Level Material Bases in Coal Mine Considering the Hierarchical Reserve Mode and Demand Difference—A Case Study

Wang,

Zhou,

Bai

2024

IEEE Access

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As one of the important energy industries, the safe production of coal mines not only concerns the safety of employees, but also affects the sustainable development of society. Recent rescue cases have shown that the layout of material bases and the allocation of emergency materials need to be further optimized. For this problem, this paper adopts the material hierarchical reserve mode for the first time, combining the material hierarchical reserve mode, multi-level material base selection model, and fuzzy analytic hierarchy process (FAHP) method to determine the optimal location of the coal mine material base in Liaoning Province. Determine the reserve level of emergency materials through evaluation and clustering analysis of various emergency materials. Improve the traditional gravity model and construct a multi-objective planning model for multi-level material base site selection. Apply the reserve level of emergency materials and real regional data to the site selection model, and use genetic algorithm (GA) to solve the model. Then, the optimal site selection scheme was selected using FAHP, and sensitivity analysis was conducted. The research results indicate that: (1) 9 county-level, 6 city-level and 2 provincial-level material bases will be constructed. (2) The location selection of material bases is not only affected by costs, but also by the density of road networks.(3) The use of hierarchical material reserve mode can significantly reduce the construction cost of material bases. Compared to the traditional material reserve mode, it can reduce costs by 86.6%. Compared to a singlelevel material bases, it can still reduce costs by 74.7%. The research results of this paper can be used for the selection of emergency material bases and the allocation of emergency material reserves, which can reduce costs and promote the improvement of regional emergency rescue capabilities.

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Section: Literature Reviewmentioning

confidence: 99%

Site Selection of Multi-Level Material Bases in Coal Mine Considering the Hierarchical Reserve Mode and Demand Difference—A Case Study

Wang,

Zhou,

Bai

2024

IEEE Access

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“…Accurately extracting the effective refuge area of emergency shelters and analyzing their effectiveness are crucial for disaster prevention and emergency response preparedness. Such actions can help minimize the potential loss of lives and property damage, stabilize public sentiments, maintain the sustainable economic development of the city, and promote the construction of a resilient city [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…With the improvement of remote sensing image resolution and the rapid development of artificial intelligence technology, the use of remote sensing technology can quickly, accurately, and intelligently extract relevant element information, which could improve the monitoring efficiency of the effective shelter area [24,25]. (3) The effective refuge area of emergency shelters is not considered comprehensively and precisely enough, which means that the effectiveness analysis of emergency shelters could be improved in terms of scientificity and objectivity.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Analyzing the Effectiveness of the Effective Refuge Area of Emergency Shelters by Using Remote Sensing: A Case Study of Beijing’s Fifth Ring Road

You

Wang

et al. 2023

Remote Sensing

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The effective refuge area is a key indicator in the study of emergency shelters. Accurately extracting the effective refuge area and analyzing the effectiveness of emergency shelters are of great significance for site selection, spatial distribution, and the evaluation of suitability. Beijing is one of only three capitals in the world located in a high-seismic-intensity zone of magnitude 8. The fast and accurate monitoring of effective refuge areas and an analysis of the effectiveness of emergency shelters are conducive to evacuation planning and disaster prevention and mitigation, and they promote the construction of a resilient city. However, the extraction of effective refuge areas in existing studies is not only a time-consuming and labor-intensive task but also has accuracy and efficiency problems, resulting in less precise validity analyses. In this paper, a remote sensing monitoring technology system for the effective refuge areas of emergency shelters is proposed based on multi-source data. Different methods were used to extract various land features, such as buildings and collapsed areas, water, dense areas of understory vegetation, and steep slope areas that cannot be evacuated, to obtain the effective refuge area at a detailed scale, in combination with the service radius of emergency shelters, the population distribution, and the actual road network, the criteria for effectiveness analysis were established for the effective open space ratio, capacity, per capita accessible effective refuge area, and population allocation gap. Taking the area within the Fifth Ring Road of Beijing as an example, the effectiveness of emergency shelters was analyzed at both the whole scale and a local scale. The results show that the effective refuge areas of different emergency shelters in Beijing vary significantly, with the smallest effective refuge area being located in Rings 2–3 and the largest one being located in Rings 4–5; between different regions, there are differences in the effectiveness. This study provides a feasible method for the fast, accurate, and detailed extraction of the effective refuge areas of emergency shelters and also provides a reference for emergency planning for disaster prevention and mitigation.

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A Robust Optimization Model for Emergency Location Considering the Uncertainty and Correlation of Transportation Network Capacity

Jiang,

Song

2024

Systems

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Emergencies often lead to the impairment of infrastructure systems, including transportation systems. It is necessary to analyze the uncertainty and correlation of transportation network capacity caused by emergencies, aiming at the problems of emergency facilities’ location and matching in emergency contexts. This study introduces novel concepts, such as flow distribution betweenness centrality (FD-BC) and the transport capacity effect coefficient (TC-EC). Furthermore, we introduce the ellipsoidal uncertainty set to characterize uncertainties in transport capacity. We construct a multi-criteria decision-making (MCDM) model and a multi-strength elitist genetic algorithm (multi-SEGA) to ensure the lower limit of transport capacity between demand and emergency points while minimizing decision-making costs. By designing an uncertain scenario example, we analyze the effect of the perturbation ratio and the uncertainty level on the robust location model. The following results were drawn: (1) Indicators FD-BC and TC-EC effectively indicated the importance of each section in the emergency transportation network. (2) The optimal value of the model’s objective function changed more significantly as the perturbation ratio and uncertainty level increased. (3) After reaching a certain uncertainty level, the robust model with an ellipsoidal uncertainty set became more conservative than the robust model with a box uncertainty set, which lacked practical significance. The research results guarantee the robustness of the emergency support system in uncertain conditions.

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An Emergency Shelter Location Model Based on the Sense of Security and the Reliability Level

Cited by 3 publications

References 38 publications

Site Selection of Multi-Level Material Bases in Coal Mine Considering the Hierarchical Reserve Mode and Demand Difference—A Case Study

Site Selection of Multi-Level Material Bases in Coal Mine Considering the Hierarchical Reserve Mode and Demand Difference—A Case Study

Monitoring and Analyzing the Effectiveness of the Effective Refuge Area of Emergency Shelters by Using Remote Sensing: A Case Study of Beijing’s Fifth Ring Road

A Robust Optimization Model for Emergency Location Considering the Uncertainty and Correlation of Transportation Network Capacity

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