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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
Corresponding AuthorGhorbanzadeh, Omid(omid.ghorbanzadeh@stud.sbg.ac.at)
2019-09-01
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Volume8Issue:9Pages:16
AbstractThe 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.
Keywordroad emergency stations (RESs) traffic police geographic information system (GIS) fuzzy analytical hierarchy process (FAHP) road safety
DOI10.3390/ijgi8090371
Indexed BySCI ; SCI
WOS KeywordGIS ; CARE ; UNCERTAINTY ; SENSITIVITY ; ACCESS ; SAFETY ; IRAN
Language英语
Funding ProjectAustrian Science Fund (FWF) through the GIScience Doctoral College[DK W1237-N23]
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000488826400001
Funding OrganizationAustrian Science Fund (FWF) through the GIScience Doctoral College
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/31349
Collection数字山地与遥感应用中心
Corresponding AuthorGhorbanzadeh, Omid
Affiliation1.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
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Naboureh, Amin,Feizizadeh, Bakhtiar,Naboureh, Abbas,et al. Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2019,8(9):16.
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.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,8(9),16.
MLA Naboureh, Amin,et al."Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8.9(2019):16.
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