Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services
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 an...
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| Format: | Article |
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MDPI AG
2019-08-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/8/9/371 |
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| author | Amin Naboureh Bakhtiar Feizizadeh Abbas Naboureh Jinhu Bian Thomas Blaschke Omid Ghorbanzadeh Meisam Moharrami |
| author_facet | Amin Naboureh Bakhtiar Feizizadeh Abbas Naboureh Jinhu Bian Thomas Blaschke Omid Ghorbanzadeh Meisam Moharrami |
| author_sort | Amin Naboureh |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T01:10:49Z |
| format | Article |
| id | doaj.art-35a9a818760344058f09320d217d9a91 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-04-12T01:10:49Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-35a9a818760344058f09320d217d9a912022-12-22T03:54:07ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-08-018937110.3390/ijgi8090371ijgi8090371Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency ServicesAmin Naboureh0Bakhtiar Feizizadeh1Abbas Naboureh2Jinhu Bian3Thomas Blaschke4Omid Ghorbanzadeh5Meisam Moharrami6Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, 610041 Chengdu, ChinaDepartment of Remote Sensing and GIS, University of Tabriz, 51666 Tabriz, IranDepartment of Nursing, Behbahan faculty of medical sciences, Ahvaz Jundishapur University of Medical Sciences, 6361796819 Ahvaz, IranResearch Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, 610041 Chengdu, ChinaDepartment of Geoinformatics – Z_GIS, University of Salzburg, 5020 Salzburg, AustriaDepartment of Geoinformatics – Z_GIS, University of Salzburg, 5020 Salzburg, AustriaDepartment of Remote Sensing and GIS, University of Tabriz, 51666 Tabriz, IranThe 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.https://www.mdpi.com/2220-9964/8/9/371road emergency stations (RESs)traffic policegeographic information system (GIS)fuzzy analytical hierarchy process (FAHP)road safety |
| spellingShingle | Amin Naboureh Bakhtiar Feizizadeh Abbas Naboureh Jinhu Bian Thomas Blaschke Omid Ghorbanzadeh Meisam Moharrami Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services ISPRS International Journal of Geo-Information road emergency stations (RESs) traffic police geographic information system (GIS) fuzzy analytical hierarchy process (FAHP) road safety |
| title | Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services |
| title_full | Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services |
| title_fullStr | Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services |
| title_full_unstemmed | Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services |
| title_short | Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services |
| title_sort | traffic accident spatial simulation modeling for planning of road emergency services |
| topic | road emergency stations (RESs) traffic police geographic information system (GIS) fuzzy analytical hierarchy process (FAHP) road safety |
| url | https://www.mdpi.com/2220-9964/8/9/371 |
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