Scenario-Based Allocation of Emergency Resources in Metro Emergencies: A Model Development and a Case Study of Nanjing Metro

Lu, Ying; Sun, Su-Qin

doi:10.3390/su12166380

Cited by 12 publications

(4 citation statements)

References 45 publications

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“…Most of the current research on emergency management has focused on management structures [ 74 ], management methods [ 75 ], software systems [ 76 ], and conceptual theories [ 77 ]. There is less research on the role of disaster prevention facilities in the emergency management process.…”

Section: Discussionmentioning

confidence: 99%

A CAST-Based Analysis of the Metro Accident That Was Triggered by the Zhengzhou Heavy Rainstorm Disaster

Zhao

Fang

Guo

et al. 2022

IJERPH

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Emergency management research is used to deal with the increasing number of extreme weather threats in urban areas. This paper uses causal analysis based on systems theory (CAST) to review the subway water ingress accident and the government’s emergency management actions in Zhengzhou, Henan Province, during the heavy rainstorm disaster on 20 July 2021. The aims of this article are to establish safety control structures at both the enterprise level and the government level, and to systematically analyze the problems in emergency management in Zhengzhou City. Our analysis found that the construction of disaster prevention facilities restricted emergency management. Therefore, we suggest that enterprises and governments not only pay attention to emergency management, but also to the construction of disaster prevention facilities. This article also points out that the system of chief executive responsibility that is implemented in China is becoming a double-edged sword in emergency management. Our study makes recommendations for enhancing the capacities of emergency management, points out the shortcomings of the existing emergency management structure, and provides knowledge gained for future emergency management research.

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Section: Discussionmentioning

confidence: 99%

A CAST-Based Analysis of the Metro Accident That Was Triggered by the Zhengzhou Heavy Rainstorm Disaster

Zhao

Fang

Guo

et al. 2022

IJERPH

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show abstract

“…Garrido and Aguirre (2017) proposed a mixed-integer model, which was a stochastic one, that reduced response time during the assistance of victims of the earthquake. Lu and Sun (2020) developed a multiobjective model that minimized penalty cost and the sum of allocation cost for allocating emergency resources in the rescue process of metro emergency, and they used a scenario-based analysis. Su et al (2016) proposed a constrained integer linear programming model and identified overlapping disaster response coalitions for concurrent incidents.…”

Section: Facility Location Problem Focusing Emergency Responsementioning

confidence: 99%

Emergency resource storage facility location problem considering domino effect after a disaster

Chowdhury

Ghosh

Mahamud

et al. 2023

JHLSCM

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Purpose The earth is facing challenges to work for the survival of human life during domino effect disasters. The emergency resource storage locations should be selected considering the probability of domino effect disasters. The first purpose of this study is to select the storage locations where domino effect probability is less. And second, facility development cost and transportation costs and costs for unutilized capacity have been optimized. Design/methodology/approach The work is a multiobjective optimization problem and solved with weighted sum approach. At first, the probabilities of domino effect due to natural disasters are calculated based on the earthquake zones. Then with that result along with other necessary data, the location to set up storage facilities and the quantities of resources that need to be transported has been determined. Findings The work targeted a country, Bangladesh for example. The authors have noticed that Bangladesh is currently storing relief items at warehouse which is under the domino effect prone region. The authors are proposing to avoid this location and identified the optimized cost for setting up the facilities. In this work, the authors pointed out which location has high probability of domino effect and after avoiding this location whether cost can be optimized, and the result demonstrated that this decision can be economical. Originality/value Disaster response authorities should try to take necessary proactive steps during cascading disasters. The novelty of this work is determining the locations to select storage facilities if the authors consider the probability of the domino effect. Then a facility location optimization model has been developed to minimize the costs. This paper can support policymakers to assess the strategies for selecting the location of emergency resource facilities.

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“…Distance is commonly measured by Euclidean distance and Manhattan distance [24][25][26]. For emergency travel time, most studies have been derived from Global Information System or estimated from scenario settings [27][28][29][30]. However, little research has been done on the problems arising from the performance of dynamic road networks, and there is a research gap of combining resource allocation with path planning.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning

Wang

Xie

Liu

et al. 2022

IJERPH

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Public safety and health cannot be secured without the comprehensive recognition of characteristics and reliable emergency response schemes under the disaster chain. Distinct from emergency resource allocation that focuses primarily on a single disaster, dynamic response, periodic supply, and assisted decision-making are necessary. Therefore, we propose a multiobjective emergency resource allocation model considering uncertainty under the natural disaster chain. Resource allocation was creatively combined with path planning through the proposed multiobjective cellular genetic algorithm (MOCGA) and the improved A* algorithm with avoidance of unexpected road elements. Furthermore, timeliness, efficiency, and fairness in actual rescue were optimized by MOCGA. The visualization of emergency trips and intelligent avoidance of risk areas were achieved by the improved A* algorithm. The effects of logistics performance, coupling of disaster factors, and government regulation on emergency resource allocation were discussed based on different disaster chain scenarios. The results show that disruption in infrastructure support, cascading effect of disasters, and time urgency are additional environmental challenges. The proposed model and algorithm work in obtaining the optimal solution for potential regional coordination and resilient supply, with a 22.2% increase in the total supply rate. Cooperative allocation complemented by political regulation can be a positive action for successfully responding to disaster chains.

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Scenario-Based Allocation of Emergency Resources in Metro Emergencies: A Model Development and a Case Study of Nanjing Metro

Cited by 12 publications

References 45 publications

A CAST-Based Analysis of the Metro Accident That Was Triggered by the Zhengzhou Heavy Rainstorm Disaster

A CAST-Based Analysis of the Metro Accident That Was Triggered by the Zhengzhou Heavy Rainstorm Disaster

Emergency resource storage facility location problem considering domino effect after a disaster

Multiobjective Emergency Resource Allocation under the Natural Disaster Chain with Path Planning

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