Vehicle Safety Analysis Based on a Hybrid Approach Integrating DEMATEL, ANP and ER
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Vehicle related safety is the principal focus of many agencies and organizations targeting road safety issues. There are many conflicting factors contributing to safety in motor vehicle operations. Unfortunately, the lack of reliable crash data makes it extremely difficult to evaluate the crash causations associated with defective vehicles. Furthermore, clarifying the interrelationships among vehicle related factors causing accidents is very complicated when the conventional decision techniques are used. This study aims to employ a hybrid decision method based on DEMATEL (decision-making trial and evaluation laboratory) and ANP (Analytic Network Process) to construct an Influence Relations Map (IRM) as well as obtain the influential weight of vehicle-related criteria. An empirical case study is provided to demonstrate the implementation process. This paper also employs an Evidential Reasoning algorithm (so-called ER) for assessing the inter-city buses in terms of vehicle safety in order to deal with the uncertainties associated with incomplete input data. The ER improves decision making process by using a belief decision matrix and the Demspster-Shafer theory of evidence. The results and findings reveal that the braking system is the most important criterion impacting vehicle safety, followed by fuel supply and electrical systems.
Keywordsmotor vehicle-related safety Multi-Criteria-Decision-Making (MCDM) DEMATEL ANP Influence Relations Map (IRM) Evidential Reasoning (ER) approach
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- ADB (1996). Road Safety Guidelines for the Asian and Pacific Region. Vehicle Safety and Standards, Draft Report (RETA 5620), Asian Development Bank. https://www.adb.org/sites/default/files/publication/29532/road-safety-guidelines.pdf.
- Asander, S. (1992). “Vehicle Safety Inspection Systems.” Wheels’ 92 Conference and Workshop, November 16th to November 17th, Sydney.Google Scholar
- Curtis, I. A. (2004). “Valuing ecosystem goods and services: A new approach using a surrogate market and the combination of a multiple criteria analysis and a Delphi panel to assign weights to the attributes.” Ecological Economics, Vol. 50, Nos. 3–4, pp. 163–194, DOI: 10.1016/j.ecolecon.2004.02.003.Google Scholar
- FORS (1999). “Cost effectiveness of periodic motor vehicle inspection}.” A Report by Federal Office of Road Safety, Keatsdale Ply Ltd., Australia}, Vol. 39, pp. 43–47, https://infrastructure.gov.au/roads/safety/publications/1999/vehicle_inspect.asp
- Gardner, B. (1995). “Vehicle roadworthiness.” From Proceedings of Vehicle Accidents: Their cause, reconstruction, law. Grzebieta, R.H., de Forest, R. & Rechnitzer, G. (Editors). Melbourne, pp. 83–90.Google Scholar
- Hoque, M. S. and Hasan, M. R. (2007). “Involvement of vehicle factors in road accidents.” Journal of Civil Engineering (IEB), Vol. 35, No. 1, pp. 17–27, DOI: 10.5812/jhs.6838.Google Scholar
- Idaho Motor Carrier Safety Demonstration Project (1982). Annual Report. Department of Law Enforcement, Bureau of Motor Carrier Safety, ID, USA.Google Scholar
- Li, C. W. and Tzeng, G. H. (2009)a. “Identification of interrelationship of key customers’ needs based on structural model for services/capabilities provided by a semiconductor-intellectual property mall.” Applied Mathematics and Computation, Vol. 215, No. 6, pp. 2001–2010, DOI: 10.1016/j.amc.2009.07.059.zbMATHCrossRefGoogle Scholar
- Li, C. W. and Tzeng, G. H. (2009)b. “Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall.” Expert Systems with Applications, Vol. 36, No. 6, pp. 9891–9898, DOI: 10.1016/j.eswa.2009.01.073.CrossRefGoogle Scholar
- Mosadeghi, R., Warnken, J., Tomlinson, R., and Mirfenderesk, H. (2015). “Comparison of Fuzzy-AHP and AHP in a spatial multicriteria decision making model for urban land-use planning.” Computers, Environment and Urban Systems, Vol. 49, pp. 54–65, DOI: 10.1016/j.compenvurbsys.2014.10.001.CrossRefGoogle Scholar
- Yang, Y. P. O., Shieh, H. M., Leu, J. D., and Tzeng, G. H. (2008). “A novel hybrid MCDM model combined with DEMATEL and ANP with applications.” International Journal of Operations Research, Vol. 5, No. 3, pp. 160–168, http://www.orstw.org.tw/ijor/vol5no3/paper-3-IJOR-vol5_3_-Yu-Ping_Ou_Yang.pdf.Google Scholar
- Pienaar, I. (1986). Nasionale Ongeluk Steekproef (NOSS), National Institute for Transport and Road Research Final Report. CSIR, South Africa, December.Google Scholar
- Podvezko, V. and Sivilevicius, H. (2013). “The use of AHP and rank correlation methods for determining the significance of the interaction between the elements of a transport system having a strong influence on traffic safety.” Transport, Vol. 28, No. 4, pp. 389–403, DOI: 10.3846/16484142.2013.866980?journalCode=tran20.CrossRefGoogle Scholar
- Rassafi, A. A., Ganji, S. S., and Pourkhani, H. (2017). “Road safety assessment under uncertainty using a Multi Attribute Decision Analysis based on Dempster–Shafer theory.” KSCE Journal of Civil Engineering, DOI: 10.1007/s12205-017-1854-5.Google Scholar
- Rechnitzer, G., Haworth, N., and Kowadlo, N. (2000). The effect of vehicle roadworthiness on crash incidence and severity, Report No. 164. Monash University, Accident Research Centre, Clayton, Australia. http://www.monash.edu/__data/assets/pdf_file/0017/216710/muarc164.pdf.Google Scholar
- Robbins, S. P. (1994). Management. Prentice Hall, New Jersey.Google Scholar
- Rompe, K. and Seul, E. (1985). Commissioned Report for the Director General of Transport of the Commission of the European Committee.Google Scholar
- Saaty, T. L. (1996). “Decision Making with Dependence and Feedback: The Analytic Network Process, RWS Publications, Pittsburgh.Google Scholar
- Saaty, T. L. (1999). “Fundamentals of the analytic network process.” In: Proceedings of the 5th international symposium on the analytic hierarchy process.Google Scholar
- Sufian, A. A., Khan, S. M., Ahmed, I., Islam, S., and Saha, N. (2013). “Safety Analysis: Observed Deficiencies in Existing Transportation System of Bangladesh.” International Journal of Urban Planning and Transportation, Vol. 27, No. 1, pp. 2051–5820, DOI: 10.1.1.677.5478.Google Scholar
- Thorson, J. and Sande, J. (1969). “Hospital statistics on road traffic accidents.” Proc. 3rd Triennial Congress of the Int. Assoc. for Accident and Traffic Medicine, University of Michigan. Highway Safety Research Institute.Google Scholar
- Treat, J. R. (1977). Tri-level study of the causes of traffic accidents: An overview of final results. American Association for Automotive Medicine Conference; USA.Google Scholar
- Treat, J. R. (1980). A study of pre crash factors involved in traffic accidents. Highway Safety Research Institute Publication No. HSRI 10/11, 6/1.Google Scholar
- Vaughan, R. (1992). “Vehicle ageing and safety.” Proceedings of Wheels’ 92 Conference and Workshop, Sydney.Google Scholar
- World Health Organization (2015). Global status report on road safety. http://apps.who.int/iris/bitstream/10665/44122/1/9789241563840_eng.pdf.