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Article

DEVELOPMENT OF MODEL FOR SEAT BELT USE AND ASSESSMENT OF PERSPECTIVE BEHAVIOR AMONG INDIAN DRIVERS

DOI: 10.7708/ijtte.2020.10(2).01


10 / 2 / 126 - 137 Pages

Author(s)

Ballem Praveen - Department of Civil Engineering, VNR VignanaJyothi Institute of Engineering and Technology, Hyderabad, Telangana, India -

Adepu Ramesh - Department of Civil Engineering, VNR VignanaJyothi Institute of Engineering and Technology, Hyderabad, Telangana, India -

Molugaram Kumar - Department of Civil Engineering, University College of Engineering, Osmania University, Hyderabad, Telangana, India -


Abstract

The drivers and passengers of motorbikes and cars are vulnerable on Indian roads as they contribute for larger share of proportion in total crashes. The statistics provided by Ministry of Road Transport and Highway (MoRTH) for the year 2017, the respective crash proportional share for drivers and passengers was observed as 34 and 25 percent. Most of these crashes results in fatality and thus contributes for the increases in severity. One of the major reasons for this severity is not wearing seat by the drivers driving cars. This article aims in understanding the perspective of drivers and prediction models towards wearing of seat belt. A generalized linear model (GLM) and negative binomial model (NBM) was developed to find the risk factors influencing for not wearing seat belt and predicting the probability of wearing seat belt. The results exhibits that the variables such as car type, road type, time of day and day of week are found to be significant in predicting the probability of wearing seat belt. The performance of GLM is better than the NBM for prediction of seat belt wearing. It is observed that the nearly 50% of drivers and 94.1% of passengers in rare seat of a car were not wearing seat belts. Seat belt wearing by yellow / taxi plate drivers was found to be 10% less than that of white plate drivers (private vehicles). The results of this study will be useful for reducing the crash severity rates by implementing appropriate awareness and enforcement programs in and around the metropolitan cities.


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Acknowledgements:

Authors gratefully acknowledge the support provided for collecting roadside observations by the Hyderabad-Cyberabad Police Department and Civil Engineering Department of VNR Vignana Jyothi Institute of Engineering and Technology for providing guidance and support during this study.


References:

Abu-Zidan, F. M.; Abbas, A. K.; Hefny, A. F.; Eid, H. O.; Grivna, M. 2012. Effects of seat belt usage on injury pattern and outcome of vehicle occupants after road traffic collisions: prospective study, World Journal of Surgery 36(2): 255–259.

 

Aghamolaei, T.; Tavafian, S. S.; Madani, A. 2011. Prediction of helmet use among Iranian motorcycle drivers: an application of the health belief model and the theory of planned behavior, Traffic Injury Prevention 12(3): 239–243.

 

Fernandes, R.; Hatfield, J.; Job, R. S. 2010. A systematic investigation of the differential predictors for speeding, drink-driving, driving while fatigued, and not wearing a seat belt, among young drivers, Transportation Research Part F: Traffic Psychology and Behaviour 13(3): 179–196.

 

Geedipally, S. R.; Lord, D.; Dhavala, S. S. 2012. The negative binomial-Lindley generalized linear model: Characteristics and application using crash data, Accident Analysis & Prevention 45: 258–265.

 

Geedipally, S.; Patil, S.; Lord, D. 2010. Examination of methods to estimate crash counts by collision type, Transportation Research Record: Journal of the Transportation Research Board 2165: 12–20.

 

Han, B.; Xu, J. 2014. Analysis of crash counts using a multilevel zero-inflated negative binomial model, Trans Tech Publ. 912: 1164–1168.

 

Huang, Y.-H.; Zhang, W.; Murphy, L.; Shi, G.; Lin, Y. 2011. Attitudes and behavior of Chinese drivers regarding seatbelt use, Accident Analysis & Prevention 43(3): 889–897.

 

Jermakian, J. S.; Weast, R. A. 2018. Passenger use of and attitudes toward rear seat belts, Journal of Safety Research 64: 113–119.

 

Jonsson, T.; Lyon, C.; Ivan, J.; Washington, S.; Van Schalkwyk, I.; Lord, D. 2009. Investigating differences in the performance of safety performance functions estimated for total crash count and for crash count by crash type, Transportation research record 2102(1): 115–123.

 

Ma, S.; Tran, N.; Klyavin, V. E.; Zambon, F.; Hatcher, K. W.; Hyder, A. A. 2012. Seat belt and child seat use in Lipetskaya Oblast, Russia: frequencies, attitudes, and perceptions, Traffic Injury Prevention 13(sup1): 76–81.

 

Mohammadi, G. 2011. Prevalence of seat belt and mobile phone use and road accident injuries amongst college students in Kerman, Iran, Chinese Journal of Traumatology (English Edition) 14(3): 165–169.

 

MORTH. 2017. Road Accidents In India-2017. Ministry of Road Transport and Highways. India. Transport Research Wing. 19-22 p.

 

Oh, J.; Lyon, C.; Washington, S.; Persaud, B; Bared, J. 2003. Validation of FHWA crash models for rural intersections: Lessons learned, Transportation Research Record 1840(1): 41–49.

 

Pickrell, T. M.; Li, H. R. 2016. Seat belt use in 2015 - Overall results. National Highway Traffic Safety Administration. U.S. Department of Transportation, Traffic Safety Facts Research Note.

 

Ranney, M. L.; Mello, M. J.; Baird, J. B.; Chai, P. R.; Clark, M. A. 2010. Correlates of motorcycle helmet use among recent graduates of a motorcycle training course, Accident Analysis & Prevention 42(6): 2057–2062.

 

Strine, T. W.; Beck, L. F.; Bolen, J.; Okoro, C.; Dhingra, S.; Balluz, L. 2010. Geographic and sociodemographic variation in self-reported seat belt use in the United States, Accident Analysis & Prevention 42(4): 1066–1071.

 

Tison, J.; Williams, A. F.; Chaudhary, N. K.; Preusser Research Group. 2010. Daytime and nighttime seat belt use by fatally injured passenger vehicle occupants. United States. National Highway Traffic Safety Administration.

 

Wang, Z.; Jiang, J. 2003. An overview of research advances in road traffic trauma in China, Traffic Injury Prevention 4(1): 9-16. doi: 10.1080/15389580309860.