Volume 10, Issue 3 (10-2018)                   jorar 2018, 10(3): 35-41 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ahmadi I, Ahmadi S, hoseini T, hoseiniyan S, chegini D, kashfi S. Analytic Hierarchy Process (AHP); Road Traffic Accident; Rescue; Air Transport. jorar 2018; 10 (3) :35-41
URL: http://jorar.ir/article-1-491-en.html
PhD Student in Traffic Safety Management, School of ???, Amin Police University, Tehran, Iran
Abstract:   (2627 Views)
BACKGROUND: Timely delivery of emergency care and reducing the transmission time of injured people to health centers is very effective in reducing the number of deaths and injuries in accidents. The purpose of this study was to evaluate the factors affecting road traffic accident relief in Iran with an emphasis on air transport.
METHODS: The present study was performed through resorting to Multiple Attribute Decision Making (MADM) statistical techniques and operation research like analytic hierarchy process (AHP) by means of establishing hierarchy process, pairwise comparisons, combining weights, analyzing sensitivity, and ranking method, which were compatible with the research methods and type of variables. The study population consisted of 3759 managers, faculty members, experts in the field of rescue, and relief, and traffic users. 349 participants were selected using Cochran sampling method. They answered a researcher-made questionnaire about the factors affecting road traffic accident relief in Iran, which validity and reliability were approved. The collected data and research hypotheses were considered through statistical test. Expert Choice software was used to facilitate the process of research.
RESULTS: Human factors, equipment factors, managerial factors, and environmental conditions criteria with relative weights of 0.3810, 0.3738, 0.2149, and 0.0303, respectively, had the highest effect on human casualties in rescue operations. Assessment of sub-criteria showed that the lack of a functional structure and appropriate organization to lead rescue operations, emergency and hospital personnel with lack of enough expertise and skill, and delays in rescue and increase in the time of rescue had the first places of importance, respectively. Finally, prioritizing rescue operations based on the type of transportation indicated that air emergency, ground emergency, and Red Crescent rescue and relief, had respectively the first, second, and third places in affecting the decrease in human casualties.
CONCLUSION: Lack of expertise and skills of staff, equipment failure, and lack of systematic structure in relief systems have increased damage to the injured, and by creating substructure, air rescue is a priority in reducing human casualties compared to land relief.
Full-Text [PDF 271 kb]   (1822 Downloads)    
Short Reports or Letters: Research Article | Subject: حمایت روانی در سوانح

References
1. Center for Chemical Process Safety (CCPS). Guidelines for Auditing process safety management systems. Hoboken, NJ: John Wiley & Sons; 2011.
2. Taylor CB, Stevenson M, Jan S, Middleton PM, Fitzharris M, Myburgh JA. A systematic review of the costs and benefits of helicopter emergency medical services. Injury 2010; 41(1): 10-20. [DOI:10.1016/j.injury.2009.09.030]
3. Biewener A, Aschenbrenner U, Rammelt S, Grass R, Zwipp H. Impact of helicopter transport and hospital level on mortality of polytrauma patients. J Trauma 2004; 56(1): 94-8. [DOI:10.1097/01.TA.0000061883.92194.50]
4. Tzeng GH, Cheng HJ, Huang TD. Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review 2007; 43(6): 673-86. [DOI:10.1016/j.tre.2006.10.012]
5. Arafeh M. Combining Lean Concepts & Tools with the DMAIC Framework to Improve Processes and Reduce Waste. American Journal of Operations Research 2015; 5(3): 209-11. [DOI:10.4236/ajor.2015.53017]
6. Alamdari S, Kalantari Meibodi M, Mohammadi P, Kariman H. Study of the demography of transferred patients to Tehran Imam Khomeini Hospital by relief helicopter. Sci J Rescue Relief 2010; 1(4): 48-52. [In Persian]
7. Farahani Deljoo F, Azhari L, Saghehei E. Identification & assessment of the potential errors in relief and rescue operations in road accidents. Sci J Rescue Relief 2012; 4(1): 1-10. [In Persian]
8. Shiri S, Soleimani Mehri M, Tardast H, Chaharsoughi Amin H, Rezania K, Nouri H. Investigating the effect of rescue and relief posts in reducing the number of road deaths and casualties in view of Ilam. Sci J Rescue Relief 2015; 6(4): 92-107. [In Persian]
9. Rasouli A, Asad-Amarji M, Rasouli N. Provide an optimal model for relief and communication of institutions in intrathecal networks. Proceedings of the 12th Transportation and Traffic Engineering Conference of Iran; 2013 Feb 19-20; Tehran, Iran. [In Persian]
10. Rasaeipour H, Ghafari K. Determining the optimal areas for the establishment of rescue vehicles for the purpose of service to the occupants with multiple objectives. Proceedings of the 12th Transportation and Traffic Engineering Conference of Iran; 2013 Feb 19-20; Tehran, Iran. [In Persian]
11. Ghezavati VR, Soltanzadeh F. Development of integrated location mapping, hierarchical ride guidance in emergency situations. Proceedings of the 12th Transportation and Traffic Engineering Conference of Iran; 2013 Feb 19-20; Tehran, Iran. [In Persian]
12. Haghani A, Oh SC. Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations. Transp Res Part A Policy Pract 1996; 30(3): 231-50. [DOI:10.1016/0965-8564(95)00020-8]
13. Ozdamar L, Ekinci E, Kucukyazici B. Emergency logistics planning in natural disasters. Ann Oper Res 2004; 129(1-4): 217-45. [DOI:10.1023/B:ANOR.0000030690.27939.39]
14. Campbell AM, Vandenbussche D, Hermann W. Routing for relief efforts. Transport Sci 2008; 42(2): 127-261. [DOI:10.1287/trsc.1070.0209]
15. Sheu JB. An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review 2007; 43(6): 687-709. [DOI:10.1016/j.tre.2006.04.004]
16. Chern CC, Chen YL, Kung LC. A heuristic relief transportation-planning algorithm for emergency supply chain management. Int J Comput Math 2010; 87(7): 1638-64. [DOI:10.1080/00207160802441256]
17. Matsumoto H, Mashiko K, Hara Y, Sakamoto Y, Kutsukata N, Takei K, et al. Effectiveness of a "doctor-helicopter" system in Japan. Isr Med Assoc J 2006; 8(1): 8-11.

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | http://www.journalsystem.ir/demo5

Designed & Developed by : Yektaweb