Applications of Location Analysis

Eiselt, H. A.; Marianov, Vladimir

doi:10.1007/978-3-319-20282-2

Cited by 24 publications

(2 citation statements)

References 196 publications

(278 reference statements)

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“…Over the last few decades, several monographs discussed the optimisation of EMS. The foundations and historical evolution of location science were thoroughly documented in [4], and an overview of applications, including emergency response to traffic accidents and preventive healthcare, was given in [5]. Several review papers addressed some selected modelling aspects.…”

Section: Literature Reviewmentioning

confidence: 99%

On the Modelling of Emergency Ambulance Trips: The Case of the Žilina Region in Slovakia

Buzna

Czimmermann

2021

Mathematics

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The efficient operation of emergency medical services is critical for any society. Typically, optimisation and simulation models support decisions on emergency ambulance stations’ locations and ambulance management strategies. Essential inputs for such models are the spatiotemporal characteristics of ambulance trips. Access to data on the movements of ambulances is limited, and therefore modelling efforts often rely on assumptions (e.g., the Euclidean distance is used as a surrogate of the ambulance travel time; the closest available ambulance is dispatched to a call; or the travel time estimates, offered by application programming interfaces for ordinary vehicles, are applied to ambulances). These simplifying assumptions are often based on incomplete data or common sense without being fully supported by the evidence. Thus, data-driven research to model ambulance trips is required. We investigated a unique dataset of global positioning system-based measurements collected from seventeen emergency ambulances over three years. We enriched the data by exploring external sources and designed a rule-based procedure to extract ambulance trips for emergency cases. Trips were split into training and test sets. The training set was used to develop a series of statistical models that capture the spatiotemporal characteristics of emergency ambulance trips. The models were used to generate synthetic ambulance trips, and those were compared with the test set to decide which models are the most suitable and to evaluate degrees to which they fit the statistical properties of real-world trips. As confirmed by the low values of the Kullback–Leibler divergence (0.004–0.229) and by the Kolmogorov–Smirnov test at the significance level of 0.05, we found a very good fit between the probability distributions of spatiotemporal properties of synthetic and real trips. A reasonable modelling choice is a model where the exponential dependency on the population density is used to locate emergency cases, emergency cases are allocated to hospitals following empirical probabilities, and ambulances are routed using the fastest paths. The models we developed can be used in optimisations and simulations to improve their validity.

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Section: Literature Reviewmentioning

confidence: 99%

On the Modelling of Emergency Ambulance Trips: The Case of the Žilina Region in Slovakia

Buzna

Czimmermann

2021

Mathematics

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“…He mentions that the amount of information a person could acquire, process and remember is closely related to the span of absolute judgement and immediate memory. According to Malczewski (2006) and Başar, Kabak, Topçu, and Bozkaya (2015) which is initially proposed by Saaty (1987).…”

Section: Evaluation Stagementioning

confidence: 99%

Hierarchical group decision‐making approach for information technology project evaluation and prioritization

Zorluoğlu

Kabak

2020

Multi Criteria Decision Anal

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The purpose of this study is to define a novel hierarchical group decision-making (HGDM) problem. For this problem, a practical solution approach is proposed for information technology (IT) project evaluation and prioritization. HGDM is a decision-making problem with a large number of decision makers (DMs) or experts organized in a hierarchical structure. For this problem, a practical solution approach based on pairwise comparisons is developed. For evaluating the projects in organizations, specifically for the IT projects, a hierarchy of many DMs make project proposals and assess proposed projects using various sets of criteria. The proposed HGDM approach is applied to the evaluation and prioritization of IT projects. A problem with 22 DMs and experts in a three-level hierarchy, 29 criteria and 15 projects is solved using the proposed HGDM approach. The HGDM approach can deal with more complex real-life problems such as problems where more than 500 projects, 100 DMs and experts, and 100 criteria exist. The originality of the study is the introduction of HGDM in the group decision-making environment.

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Estimating Shopping Center Visitor Numbers Based on Various Environmental Indicators

Ozdemir

Onar

Bağrıyanık

2020

Advances in Intelligent Systems and Computing

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Applications of Location Analysis

Cited by 24 publications

References 196 publications

On the Modelling of Emergency Ambulance Trips: The Case of the Žilina Region in Slovakia

On the Modelling of Emergency Ambulance Trips: The Case of the Žilina Region in Slovakia

Hierarchical group decision‐making approach for information technology project evaluation and prioritization

Estimating Shopping Center Visitor Numbers Based on Various Environmental Indicators

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