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| dc.contributor.author | Bhuiyan, Md. Rifat Hossain | |
| dc.contributor.author | Chowdhury, Md. Rwanakul Islam | |
| dc.contributor.author | Nokshi, Kashfia Nahrin | |
| dc.date.accessioned | 2022-04-20T04:05:09Z | |
| dc.date.available | 2022-04-20T04:05:09Z | |
| dc.date.issued | 2021-03-30 | |
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(2017). Pattern of Road Traffic Injuries in Rural Bangladesh: Burden Estimates and Risk Factors. International Journal of Environmental Research and Public Health, 14(11), 1354. https://doi.org/10.3390/ijerph14111354 Umar, R. (2002). Helmet initiatives in Malaysia. Proceedings of the 2nd World Engineering Congress. Kuching, Sarawak, Malaysia, Institution of Engineers. Wang, Y., & Vassileva, J. (2005). Bayesian Network Trust Model in Peer-to-Peer Networks BT - Agents and Peer-to-Peer Computing (G. Moro, C. Sartori, & M. P. Singh, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg. Weiss, A. A. (1992). The effects of helmet use on the severity of head injuries in motorcycle accidents. Journal of the American Statistical Association, 87(417), 48–56. https://doi.org/10.1080/01621459.1992.10475173 WHO (Ed.). (2004). World report on road traffic injury prevention. Geneva: World Health Organization. WHO. (2006). Helmets: A road safety manual for decision-makers and practitioners. Geneva. WHO. (2015). Global status report on road safety 2015: Supporting a decade of action. Geneva, Switzerland: WHO. WHO. (2018). Global status report on road safety. Geneva. Wu, C. Y. H., & Loo, B. P. Y. (2016). Motorcycle safety among motorcycle taxi drivers and nonoccupational motorcyclists in developing countries: A case study of Maoming, South China. Traffic Injury Prevention, 17(2), 170–175. https://doi.org/10.1080/15389588.2015.1048336 Zamani-alavijeh, F., Bazargan, M., Shafiei, A., & Bazargan-hejazi, S. (2011a). The frequency and predictors of helmet use among Iranian motorcyclists: A quantitative and qualitative study. 43, 1562–1569. https://doi.org/10.1016/j.aap.2011.03.016 Zamani-alavijeh, F., Bazargan, M., Shafiei, A., & Bazargan-hejazi, S. (2011b). The frequency and predictors of helmet use among Iranian motorcyclists: A quantitative and qualitative study. 43, 1562–1569. https://doi.org/10.1016/j.aap.2011.03.016 | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/1354 | |
| dc.description | Supervised by Dr. Moinul Hossain Professor, Department of Civil and Environmental Engineering (CEE), Islamic University of Technology (IUT), Board Bazar, Gazipur, Bangladesh. | en_US |
| dc.description.abstract | Major growth in economy over the last few years, alongside the increasing trend of ride sharing applications resulted in a significant increase of motorized vehicles in Bangladesh. With the increase of motorized vehicles in national and regional highways, there has been a spike in the number of road fatalities. Being one of the fastest growing economies, Bangladesh is still lagging behind in terms of ensuring road safety and awareness due to its poor law enforcement and improper management from the authorities. Safety restraints, particularly helmet and seatbelt, have been proven to be highly effective in reducing road fatality and accidents. But unfortunately, the number of applications of such safety restraints is not up to the mark compared to the number of motorized vehicles plying in the highways in this region. Previous research on road accidents and application of safety restraints in Bangladesh mostly comprised of volumetric studies and statistical analysis of road fatalities and trends of road accidents in the region. There is a gap in research regarding the socio demographic factors that influenced one’s perception of helmet or seat belt usage and the dependence of the factors among themselves, especially for the case developing nations such as Bangladesh. The following study seeks to establish a causal relationship among the factors that influence the rider or driver’s usage of helmet and seatbelt respectively, in order to identify the variables that has the most impact on safety restraints application and their impact on other influencing factors. In this study, a causal relationship was established among variables that represent both demographic and safety perception to identify the factors that influenced helmet and seat belt use on national and regional highways in Bangladesh. The network was established based on previous research findings and expert knowledge using Bayesian Belief Network. The Bayesian network was formed using PC algorithm that was based on conditional independence. Data were collected from 32 intersections from national and regional highways. The study was conducted on secondary data provided by Roads and Highways Department (RHD). The Bayesian network was used to find the posterior probability for all variables for the presence of helmet and seat belt respectively using the expectation-maximization algorithm and sensitivity analysis. xii Results showed that effectiveness of helmet as safety restraint, motorbike ownership, and helmet avoidance are the major influential factors for helmet use, whereas education level, license type, perception of accident reduction, and perception of injury for not wearing helmet are the main factors behind seat belt usage. In both cases, police intervention did not have any significant effect on helmet and seat belt usage, indicating poor law enforcement in the region. Results from this study can be a useful resource for policy makers and law enforcement authorities to take necessary actions to encourage use of safety restraints among riders and drivers. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Civil and Environment Engineering, Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh | en_US |
| dc.subject | Safety Restraint, Bayesian Network, Helmet and Seat belt, Safety Perception, Developing Country | en_US |
| dc.title | Factors affecting safety perception of helmet and seat belt use: a bayesian network approach | en_US |
| dc.type | Thesis | en_US |
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2021 [28]