Joint location and dispatching decisions for Emergency Medical Services

Toro-Díaz, Hector; Mayorga, Marı́a E.; Chanta, Sunarin; McLay, Laura A.

doi:10.1016/j.cie.2013.01.002

Cited by 121 publications

(64 citation statements)

References 47 publications

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“…They concluded that a logarithmic transformation makes symmetric travel-time distribution. Additionally, Toro-Diaz et al [42] used this algorithm to extend the work given by Toro-Díaz et al [32] and presented a multi-objective location model to balance efficiency and fairness, where more than one server can be assigned to each station. In their work, the purpose of fairness is to make same mean response times and also same server's workload.…”

Section: Single Dispatch Total Backup and Non-homogeneous Serversmentioning

confidence: 99%

“…They showed that patient survival rate optimization is related to how the response time threshold (RTT) is chosen. Toro-Diaz et al [32] proposed a non-linear mixed-integer optimization model to find the location of ambulances (see Section 3). They found that the use of closest dispatching policy enables the model to minimize the response time and maximize the coverage.…”

Section: Single Dispatch Total Backup and Homogeneous Serversmentioning

confidence: 99%

“…{Please insert Table 7 about here.} Geroliminis et al [52][53][54] and Toro-Diaz et al [32] developed a model in the framework of hypercube to optimize the performance measures in large urban networks with many servers, without using approximate approaches. The objective of this model is to minimize the mean system response time, subject to hypercube constraints.…”

Section: Location Models and Solution Approachesmentioning

confidence: 99%

“…, Chelst and Jarvis [17], Berman et al [22], Larson and Rich [18], Chiyoshi et al [26], Rajagopalan et al [33], Galvao et al [27], Chiyoshi et al [3], Toro-Diaz et al [32], Saydam et al [34], Sudtachat et al [35] Larson [14], Batta et al [25] - …”

mentioning

confidence: 99%

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Hypercube Queuing Models in Emergency Service Systems: A State-of-the-Art Review

2018

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Abstract. This study provides a review of hypercube queuing models (HQMs) in emergency service systems (ESSs). This survey presents a comprehensive review and taxonomy of models, solutions and applications related to the HQM after Larson [12]. In addition, the structural aspects of HQMs are examined. Important contributions of the existing research are addressed by taking into account multiple factors. In particular, the integration of location decisions with HQMs for designing an ESS is discussed. Finally, a list of issues for future studies are presented.

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Section: Single Dispatch Total Backup and Non-homogeneous Serversmentioning

confidence: 99%

Section: Single Dispatch Total Backup and Homogeneous Serversmentioning

confidence: 99%

Section: Location Models and Solution Approachesmentioning

confidence: 99%

mentioning

confidence: 99%

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Hypercube Queuing Models in Emergency Service Systems: A State-of-the-Art Review

2018

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“…The available ambulance stations concept adopted in this paper refers to the definition in reference [9], which is "a single list associated with each customer (emergency demand point) that ranks the available servers (ambulance stations)' order of dispatch preference". In other words, available ambulance stations are a set of stations that can rescue life of people in emergency efficiently or within a pre-defined time framework.…”

Section: Introductionmentioning

confidence: 99%

Measuring Selection Diversity of Emergency Medical Service for Metro Stations: A Case Study in Beijing

Zhang

Jia

Qin

2018

IJGI

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Abstract:It is important for station managers and emergency medical service (EMS) managers to understand the available ambulance stations for each metro station. EMS managers can make use of this information to reallocate EMS resources to improve the performance of EMS system. Station managers can pay attention to the safety management of metro stations with fewer medical rescue support. This paper aims to develop a selection diversity index to address two questions: "How many available ambulance stations are available or can serve the rescue of metro stations in emergency?" and "Which ambulance stations are most vulnerable?". To implement this measure in practice, definition of available ambulance stations for rescue of metro stations is described based on the response time threshold. The selection diversity is proposed to measure the preparability of medical rescue service for metro stations. To show proof of concept, a real-world case is presented to demonstrate the feasibility of the selection diversity index.

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Prioritizing emergency shelter areas using hybrid multi-criteria decision approach: A case study

Trivedi

Singh

2017

J. Multi-Crit. Decis. Anal.

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Every year, more than 400 natural disasters affect global population. Adopting a resilient approach strengthens communities to survive and recover well from destabilizing events. Disasters destroy or damage houses and infrastructure, which calls for arrangement of temporary establishments to provide immediate evacuation and shelter to affected population. These sites are vital for an effective relief and must be strategically planned. Communities living in disaster-prone areas should prepare themselves well in advance for any future catastrophic event. This study adopts a hybrid group decision support approach for emergency shelter site selection problem. Initially, relevant factors for locating potential sites are identified by reviewing extant literature and through consultation from a panel of disaster management experts. Next, fuzzy analytic hierarchy process theory and technique for order preference by similarity to ideal solution have been used to prioritize identified criteria and to evaluate potential locations for displacement sites. A case study of the recent Nepal earthquake has been used to illustrate the effectiveness of the proposed model. The model offers a resilience building approach to prepare communities for any future contingency by proposing and prioritizing a set of planned displacement sites. KEYWORDSAHP, emergency shelters, fuzzy sets, group decision support, humanitarian logistics, TOPSIS | INTRODUCTIONA disaster can be defined as "a sudden, calamitous event that seriously disrupts the functioning of a community or society and causes human, material, and economic or environmental losses that exceed the community's or society's ability to cope using its own resources" (IFRC, 2015). There has been a significant increase in the number of disasters over the past decade: from fewer than 50 disasters per year reported in 1950 to more than 400 disasters in 2010 (EM-DAT, 2015). In view of this environmental uncertainty, the need to foster resilience amongst communities has been an area of attention amongst researchers, practitioners, and policy makers. The resilience approach has found applications in various fields and disciplines, resulting in multiple definitions of the concept (Norris, Tracy, & Galea, 2009).According to disaster risk management literature, resilience refers to the capacity of a society to "bounce back," resist, cope, and recover quickly from the impacts of hazards (Bruneau et al., 2003;Klein, Nicholls, & Thomalla, 2003;Timmerman, 1981). It is determined by the capacity of a social system to improve risk-reduction measures and learn from past disasters (United Nations International Strategy for Disaster Reduction, 2007). Another crucial aspect of resilience that has not been emphasized much in contemporary disaster resilience conceptualization is focus on preparedness (Aldunce, Beilin, Handmer, & Howden, 2014). Social systems should have sufficient capacity to prepare in order to mitigate and minimize losses, suffering, and social disruption (Bruneau et al., 2003; Inte...

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Joint location and dispatching decisions for Emergency Medical Services

Cited by 121 publications

References 47 publications

Hypercube Queuing Models in Emergency Service Systems: A State-of-the-Art Review

Hypercube Queuing Models in Emergency Service Systems: A State-of-the-Art Review

Measuring Selection Diversity of Emergency Medical Service for Metro Stations: A Case Study in Beijing

Prioritizing emergency shelter areas using hybrid multi-criteria decision approach: A case study

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