Emergency Response after Disaster Strikes: Agent-Based Simulation of Ambulances in New Windsor, NY

Koch, Zade; Yuan, Meichen; Bristow, Elizabeth

doi:10.1061/(asce)is.1943-555x.0000565

Cited by 10 publications

(5 citation statements)

References 29 publications

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“…In addition, it reveals how each hospital use different communication channels for optimizing the information flows during outbreaks [ 74 ]. Transport (C4) Number of ambulances (SC22) Heliport area (SC23) Safety (SC24) Road accessibility (SC25) It verifies how ready the transportation infrastructure and fleet of a particular hospital are for facing the logistical demands, especially the patient transfers, emanating from the disaster scenario [ 85 ]. Human Resources (C5) Education and training (SC26) Disaster drill (SC27) Emergency response team (SC28) Integration and coordination (SC29) Number of emergency staff (SC30) Working time (SC31) This criterion encompasses the availability, education, skills, coordination, and management of human resources involved in the disaster response teams set by the hospitals [ 86 ].…”

Section: Resultsmentioning

confidence: 99%

A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case

Ortíz‐Barrios

Gül

Yücesan

et al. 2022

International Journal of Disaster Risk Reduction

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The recent increase in the number of disasters over the world has once again brought to the agenda the question of preparedness of the hospitals, which are the most necessary units of healthcare pillar to resist these disasters. The COVID-19 epidemic disease, which has affected the whole world, has caused a large number of people to die in some countries simply because of the inadequate and incomplete planning and lack of readiness of hospitals. For this reason, determining the disaster preparedness level of hospitals is an important issue that needs to be studied and it is important in terms of disaster damage reduction. In this study, a fuzzy hybrid decision-making framework is proposed to assess hospital disaster preparedness. The framework covers three important decision-making methods. For the first phase, Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) is used to assign relative weights for several disaster preparedness criteria considering uncertainty. Secondly, Intuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL) is applied to identify interrelations among these criteria and feedback. Finally, via the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, priorities of hospitals regarding disaster readiness are obtained. A case study involving the participation of 10 Colombian tertiary hospitals is carried out to show the applicability of this fuzzy hybrid approach.

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Section: Resultsmentioning

confidence: 99%

A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case

Ortíz‐Barrios

Gül

Yücesan

et al. 2022

International Journal of Disaster Risk Reduction

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“…The authors focus on the repair of roads that improve the accessibility to victim locations. Koch et al [30] develop a study in which a network disrupted by either traffic or disaster is simulated. The objective of this study is to determine which roads are the least likely to be disrupted in order to include them in the pathways for the provision of medical services.…”

Section: Humanitarian Operations and Disrupted Road Networkmentioning

confidence: 99%

An Online Algorithm for Routing an Unmanned Aerial Vehicle for Road Network Exploration Operations after Disasters under Different Refueling Strategies

Reyes-Rubiano

Voegl²,

Hirsch³

2022

Algorithms

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This paper is dedicated to studying on-line routing decisions for exploring a disrupted road network in the context of humanitarian logistics using an unmanned aerial vehicle (UAV) with flying range limitations. The exploration aims to extract accurate information for assessing damage to infrastructure and road accessibility of victim locations in the aftermath of a disaster. We propose an algorithm to conduct routing decisions involving the aerial and road network simultaneously, assuming that no information about the state of the road network is available in the beginning. Our solution approach uses different strategies to deal with the detected disruptions and refueling decisions during the exploration process. The strategies differ mainly regarding where and when the UAV is refueled. We analyze the interplay of the type and level of disruption of the network with the number of possible refueling stations and the refueling strategy chosen. The aim is to find the best combination of the number of refueling stations and refueling strategy for different settings of the network type and disruption level.

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“…Three modules, namely, an execution module, a scoring module, and a replanning module, are incorporated into MATSim for transportation simulation. This model has been widely used by researchers and practitioners to support evacuation planning and simulation for various types of natural disasters, such as earthquakes (Koch et al, 2020), hurricanes (Zhu et al, 2018), tsunamis (Muhammad et al, 2021), and floods (Saadi et al, 2018). For more details about MATSim and its applications in transportation simulation, see Lä mmel et al (2009) and Horni (2016).…”

Section: Transportation Model For Large-scale Evacuation Simulationmentioning

confidence: 99%

“…Our modeling framework and the simulations in this study have a number of limitations that warrant future research to make improvements and extend the current approach. First, similar to other studies on emergency evacuation simulation (Wood et al, 2020;Zhu et al, 2018;Koch et al, 2020;Saadi et al, 2018), this study focuses on car-based traffic simulation without considering other transportation modes (e.g., motorcycles). In realworld evacuation cases, residents may use various types of transportation modes to evacuate, including by automobile, motorcycle, bus, or on foot (Melnikov et al, 2016).…”

Section: Limitations and Future Research Directionsmentioning

confidence: 99%

“…CC BY 4.0 License. emergency evacuation, which are influenced by the accessibility of transportation networks, road capacity and location of evacuation zones (Mostafizi et al, 2017;Chen and Zhan, 2008;Saadi et al, 2018;Mostafizi et al, 2019;Koch et al, 2020;Oh et al, 2021;Liu and Lim, 2016), and (3) demographical attributes and household behavioral characteristics, such as residents' belief and risk perception, previous knowledge, social networks, and past experience with flood events (Hofflinger et al, 2019;Huang et al, 2017;Lindell et al, 2020;Wang and Jia, 2021;Shahabi and Wilson, 2014;Du et al, 2017). These studies highlight the need to develop comprehensive socio-hydrological modeling tools that can adequately incorporate various factors and processes to support flood management plans in the context of coupled flood-human systems.…”

Section: Introductionmentioning

confidence: 99%

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Development of an integrated socio-hydrological modeling framework for assessing the impacts of shelter location arrangement and human behaviors on flood evacuation processes

Jiang

et al. 2022

Preprint

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Abstract. In many flood-prone areas, it is essential for emergency responders to use advanced computer models to assess flood risk and develop informed flood evacuation plans. However, previous studies have limited understanding of how evacuation performances are affected by the arrangement of evacuation shelters regarding their number and geographical distribution and human behaviors regarding the heterogeneity of household evacuation preparation times and route searching strategies. In this study, we develop an integrated socio-hydrological modeling framework that couples (1) a hydrodynamic model for flood simulation, (2) an agent-based model for evacuation management policies and human behaviors, and (3) a transportation model for simulating household evacuation processes in a road network. We apply the model to the Xiong’an New Area and examine household evacuation outcomes under various shelter location plans and human behavior scenarios. The results show that household evacuation processes are significantly affected by the number and geographical distribution of evacuation shelters. Surprisingly, we find that establishing more shelters may not improve evacuation results if the shelters are not strategically located. We also find that low heterogeneity in evacuation preparation times can result in heavy traffic congestion and long evacuation clearance times. If each household selects their own shortest route without considering the effects of other evacuees’ route choices, traffic congestions will likely to occur, thereby reducing system-level evacuation performance. These results demonstrate the unique functionality of our model to support flood risk assessment and to advance our understanding of how the multiple management and behavioral factors jointly affect evacuation performances.

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Emergency Response after Disaster Strikes: Agent-Based Simulation of Ambulances in New Windsor, NY

Cited by 10 publications

References 29 publications

A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case

A fuzzy hybrid decision-making framework for increasing the hospital disaster preparedness: The colombian case

An Online Algorithm for Routing an Unmanned Aerial Vehicle for Road Network Exploration Operations after Disasters under Different Refueling Strategies

Development of an integrated socio-hydrological modeling framework for assessing the impacts of shelter location arrangement and human behaviors on flood evacuation processes

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