Traffic Accident Spatial Simulation Modeling for Planning of Road Emergency Services
文献类型：期刊论文
| 作者 | Naboureh, Amin1,2; Feizizadeh, Bakhtiar3; Naboureh, Abbas5; Bian, Jinhu2; Blaschke, Thomas4; Ghorbanzadeh, Omid4; Moharrami, Meisam3 |
| 刊名 | SUSTAINABLE DEVELOPMENT
 |
| 出版日期 | 2019-09-01 |
| 卷号 | 8期号:9页码:371 |
| ISSN号 | 0968-0802 |
| 关键词 | road emergency stations (RESs) traffic police geographic information system (GIS) fuzzy analytical hierarchy process (FAHP) road safety |
| DOI | 10.3390/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. |
| 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 |
| 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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 2.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China; 3.Univ Tabriz, Dept Remote Sensing & GIS, Tabriz 51666, Iran; 4.Univ Salzburg, Dept Geoinformat Z GIS, A-5020 Salzburg, Austria 5.Ahvaz Jundishapur Univ Med Sci, Behbahan Fac Med Sci, Dept Nursing, Ahwaz 6361796819, Iran; |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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