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Open AccessArticle

Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services

1
Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, 610041 Chengdu, China
2
University of Chinese Academy of Sciences, 100049 Beijing, China
3
Department of Remote Sensing and GIS, University of Tabriz, 51666 Tabriz, Iran
4
Department of Nursing, Behbahan faculty of medical sciences, Ahvaz Jundishapur University of Medical Sciences, 6361796819 Ahvaz, Iran
5
Department of Geoinformatics – Z_GIS, University of Salzburg, 5020 Salzburg, Austria
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(9), 371; https://doi.org/10.3390/ijgi8090371
Received: 22 July 2019 / Revised: 16 August 2019 / Accepted: 16 August 2019 / Published: 25 August 2019
(This article belongs to the Special Issue Urban Crime Mapping and Analysis Using GIS)
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, the statistics organization, forensics, police centers, the surveying and geological department, remotely-sensed and global positioning system (GPS) data of accident high crash zones. On the basis of previous studies and the requirements of the Ministry of Health and Medical Education, as well as the department of roads of Iran for the location of RESs, nine criteria and 19 sub-criteria were adopted, including population, safety, environmental indicators, compatible area in RES, incompatible area in RES, type of road, accident high crash zones, traffic level and performance radius. The FAHP yielded the criteria weights and the ideal locations for establishing RESs using GIS analysis and aggregation functions. The resulting map matched the known road accident and high crash zones very well. The results indicated that the current RES stations are not distributed appropriately along the major roads of the Khuzestan province, and a re-arrangement is suggested. The finding of the present study can help decision-makers and authorities to achieve sustainable road safety in the case study area. View Full-Text
Keywords: road emergency stations (RESs); traffic police; geographic information system (GIS); fuzzy analytical hierarchy process (FAHP); road safety road emergency stations (RESs); traffic police; geographic information system (GIS); fuzzy analytical hierarchy process (FAHP); road safety
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MDPI and ACS Style

Naboureh, A.; Feizizadeh, B.; Naboureh, A.; Bian, J.; Blaschke, T.; Ghorbanzadeh, O.; Moharrami, M. Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services. ISPRS Int. J. Geo-Inf. 2019, 8, 371.

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