Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services
Naboureh, Amin1,2; Feizizadeh, Bakhtiar3; Naboureh, Abbas4; Bian, Jinhu1; Blaschke, Thomas5; Ghorbanzadeh, Omid5; Moharrami, Meisam3
刊名SUSTAINABLE DEVELOPMENT
2019-09-01
卷号8期号:9页码:371
关键词road emergency stations (RESs) traffic police geographic information system (GIS) fuzzy analytical hierarchy process (FAHP) road safety
ISSN号0968-0802
DOI10.3390/ijgi8090371
产权排序1
文献子类Article
英文摘要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.
电子版国际标准刊号2220-9964
WOS关键词GIS ; CARE ; UNCERTAINTY ; SENSITIVITY ; ACCESS ; SAFETY ; IRAN
WOS研究方向Physical Geography ; Remote Sensing
语种英语
出版者WILEY
WOS记录号WOS:000488826400001
内容类型期刊论文
源URL[http://ir.imde.ac.cn/handle/131551/33992]  
专题中国科学院水利部成都山地灾害与环境研究所
通讯作者Ghorbanzadeh, Omid
作者单位1.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.Univ Tabriz, Dept Remote Sensing & GIS, Tabriz 51666, Iran;
4.Ahvaz Jundishapur Univ Med Sci, Behbahan Fac Med Sci, Dept Nursing, Ahwaz 6361796819, Iran;
5.Univ Salzburg, Dept Geoinformat Z GIS, A-5020 Salzburg, Austria
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Naboureh, Amin,Feizizadeh, Bakhtiar,Naboureh, Abbas,et al. Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services[J]. SUSTAINABLE DEVELOPMENT,2019,8(9):371.
APA Naboureh, Amin.,Feizizadeh, Bakhtiar.,Naboureh, Abbas.,Bian, Jinhu.,Blaschke, Thomas.,...&Moharrami, Meisam.(2019).Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services.SUSTAINABLE DEVELOPMENT,8(9),371.
MLA Naboureh, Amin,et al."Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services".SUSTAINABLE DEVELOPMENT 8.9(2019):371.
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