2019
DOI: 10.3390/ijgi8090371
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Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services

Abstract: The appropriate locations of road emergency stations (RESs) can help to decrease the impact of traffic accidents that cause around 50 million injuries per year worldwide. In this research, the appropriateness of existing RESs in the Khuzestan province, Iran, was assessed using an integrated fuzzy analytical hierarchy process (FAHP) and geographic information system (GIS) approach. The data used in this research were collected from different sources, including the department of roads, the department of health, … Show more

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Cited by 24 publications
(15 citation statements)
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“…This system provides the most demanding tools required to analyze RTA and road design that can be noteworthy in achieving road safety [41], manages different types of databases [42], includes data analysis methods [43], provides a suitable platform for big data management [10], and has been widely used as the base platform of many road safety research so far [44]. Generally, application of GIS in road safety analysis includes spatial modeling of accident risk [45,46], spatial and spatiotemporal analyzing of accidents [47,48], extraction of accident hotspots [44,49], preparing accidentrisk map [10,50], identifying spatiotemporal patterns of accidents [51], spatiotemporal clustering of road accidents [52], and exploring the relationships between affective factors and accident rates [53,54]. Researchers often combine GIS with other analysis methods.…”
Section: Paper Machine Learning Applicationmentioning
confidence: 99%
See 1 more Smart Citation
“…This system provides the most demanding tools required to analyze RTA and road design that can be noteworthy in achieving road safety [41], manages different types of databases [42], includes data analysis methods [43], provides a suitable platform for big data management [10], and has been widely used as the base platform of many road safety research so far [44]. Generally, application of GIS in road safety analysis includes spatial modeling of accident risk [45,46], spatial and spatiotemporal analyzing of accidents [47,48], extraction of accident hotspots [44,49], preparing accidentrisk map [10,50], identifying spatiotemporal patterns of accidents [51], spatiotemporal clustering of road accidents [52], and exploring the relationships between affective factors and accident rates [53,54]. Researchers often combine GIS with other analysis methods.…”
Section: Paper Machine Learning Applicationmentioning
confidence: 99%
“…Increasing the slope makes the road geometry more varied [10]. Moreover, changing the slope make drivers careful to control their speed [45]. These led to the choice of slope as an effective criterion in modeling.…”
mentioning
confidence: 99%
“…The data of the moving vehicle are used to know the exact location of the beginning of the speed limit zone [ 40 ]. Data have important applications for road managers and people in transportation research fields such as the detection of the movement of drivers, traffic flows in an area, and predicting the number of accident cases in a specific zone [ 41 ].…”
Section: Proposed Approachmentioning
confidence: 99%
“…Multi-criteria decision-making (MCDM) models have provided decision-makers with the best solutions for the complex problems of dealing with several criteria [11]. MCDM models have been successfully used in a wide range of problems in varied fields, including complex transportation systems [12,13]. The analytic hierarchy process (AHP) is considered to be one of the most common MCDM models that supports decision-makers to identify and solve real-world problems.…”
Section: Introductionmentioning
confidence: 99%