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dc.contributor.author | Ahammed, Dewan Tanvir | |
dc.contributor.author | Mahmud, Niaz | |
dc.contributor.author | Prema, Afia Jahin | |
dc.date.accessioned | 2022-04-16T03:59:19Z | |
dc.date.available | 2022-04-16T03:59:19Z | |
dc.date.issued | 2021-03-30 | |
dc.identifier.citation | Alsaleh, R., Sayed, T., & Zaki, M. H. (2018). Assessing the Effect of Pedestrians’ Use of Cell Phones on Their Walking Behavior: A Study Based on Automated Video Analysis. Transportation Research Record, 1–12. Brosseau, M., Zangenehpour , S., Saunier, N., & Miranda-Moreno, L. (2013). The impact of waiting time and other factors on dangerous pedestrian crossings and violations at signalized intersections: A case study in Montreal. Transportation Research Part F, 159–172. Chen, P.-L., Saleh, W., & Pai, C.-W. (2018). Pokemon gaming causes pedestrians to run a red light: An observational study of crossing behaviours at a signalised intersection in Taipei City. Transportation Research Part F, 380–388. Dommes, A., Granié , M.-A., Cloutier, M.-S., Coquelet, C., & Huguenin-Richard, F. (2015). Red light violations by adult pedestrians and other safety-related behaviors at signalized crosswalks. Accident Analysis and Prevention, 67–75. Gong, Q., Liang, X., & Xu, M. (2019). Pedestrian violations crossing behavior at signal intersections: A case study in Anning District of Lanzhou. In IOP Conference Series: Materials Science and Engineering. Vol. 688, No. 4, p. 044006). IOP Publishing. Hatfield, J., & Murphy, S. (2007). The effects of mobile phone use on pedestrian crossing behaviour at signalised and unsignalised intersections. Accident Analysis and Prevention, 197–205. 75 | P a g e Jiang, K., Ling, F., Feng, Z., Ma, C., Kumfer, W., Shao, C., & Wang, K. (2018). Effects of mobile phone distraction on pedestrians’ crossing behavior and visual attention allocation at a signalized intersection: An outdoor experimental study. Accident Analysis and Prevention, 170–177. King, M. J., Soole, D., & Ghafourian, A. (2009). Illegal pedestrian crossing at signalised intersections: Incidence and relative risk. Accident Analysis & Prevention, 485- 490. Lennon, A., Oviedo-Trespalacios, O., & Matthews, S. (2017). Pedestrian self-reported use of smart phones: Positive attitudes and high exposure influence intentions to cross the road while distracted. Accident Analysis and Prevention, 338–347. Li, N., Feng, X., & Jimenez, R. (2017). Predicting rock burst hazard with incomplete data using Bayesian networks. Tunnelling and Underground Space Technology, 61. 61- 70. Lord, S., Cloutie, M.-S., Garnie, B., & Christoforou, Z. (2018). Crossing road intersections in old age—With or without risks? Perceptions of risk and crossing behaviours among the elderly. Transportation Research Part F, 282–296. Ma, Y., Lu, S., & Zhang, Y. (2020). Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network. Journal of Advanced Transportation. Mamun, S., Caraballo, F. J., Ivan, J. N., Ravishanker, N., Townsend, R. M., & Zhang, Y. (2018). Identifying association between pedestrian Identifying association between 76 | P a g e pedestrian considering demographics and traffic context. Journal of Transportation Safety & Security. doi: https://doi.org/10.1080/19439962.2018.1490369 Marisamynathan, S., & Vedagiri, P. (2018). Modeling Pedestrian Crossing Behavior and Safety at Signalized Intersections. Transportation Research Record: JOURNAL OF THE TRANSPORTATION RESEARCH BOARD. Mukherjee, D., & Mitra, S. (2019). A comparative study of safe and unsafe signalized intersections from the view point of pedestrian behavior and perception. Accident Analysis and Prevention. Nasar, J. L., & Troyer, D. (2013). Pedestrian injuries due to mobile phone use in public places. Accident Analysis and Prevention, 91–95. Nasar, J., Hecht, P., & Wener, R. (2008). Mobile telephones, distracted attention, and pedestrian safety. Accident Analysis and Prevention, 69–75. Priyadarshini, P., & Mitra, S. (2018). Investigating Pedestrian Risk Factors Leading to Pedestrian Fatalities in Kolkata City Roads. Transportation in Developing Economies. Ren, G., Zhou, Z., Wang, W., Zhang, Y., & Wang, W. (2011). Crossing Behaviors of Pedestrians at Signalized Intersections Observational Study and Survey in China. Transportation Research Record Journal of the Transportation Research Board, 65- 73. Rosenbloom, T. (2009). Crossing at a red light: Behaviour of individuals and groups. Transportation Research Part F, 389–394. 77 | P a g e Schwebel, D. C., Stavrinos, D., Byington, K., & Davis, T. (2012). Distraction and pedestrian safety: How talking on the phone, texting, and listening to music impact crossing the street. Accident Analysis and Prevention, 266–271. Shaaban, K., Muley, D., & Mohammed, A. (2018). Analysis of illegal pedestrian crossing behavior on a major divided arterial road. Transportation Research Part F, 124– 137. Shiwakoti, N., Tay, R., & Stasinopoulos, P. (2017). Exploring Jaywalking at Intersections. Australasian Transport Research Forum. Auckland, New Zealand. Sobhani, A., & Farooq, B. (2018). Impact of smartphone distraction on pedestrians’ crossing behaviour: An application of head-mounted immersive virtual reality. Transportation Research Part F, 228–241. WHO. (2015). Global status report on road safety 2015. Geneva: World Health Organization. WHO. (2018). Global status report on road safety 2018. Geneva: World Health Organization. Xu, Y., Li, Y., & Zhang, F. (2013). Pedestrians’ intention to jaywalk: Automatic or planned? A study based on a dual-process model in China. Accident Analysis and Prevention, 811–819. Zhang, H., Zhang, C., Wei, Y., & Chen, F. (2017). The effects of mobile phone use on pedestrian crossing behavior and safety at unsignalized intersections. International Conference on Transportation Information and Safety(ICTIS). Banff,Canada. 78 | P a g e Zhang, W., Wang, K., Wang, L., Feng, Z., & Du, Y. (2016). Exploring factors affecting pedestrians’ red-light running behaviors at intersections in China. Accident Analysis and Prevention, 71–78. Hoque, M. M., Anowar, S., & Raihan, M. A. (2008). Towards sustainable road safety in Bangladesh. Paper presented at the International Conference on Sustainable Transport for Developing Countries: Concerns, Issues and Options, Dhaka, Bangladesh, 63–69. Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, Inc., San Mateo, CA. Castillo, E., Gutiérrez, J. M., & Hadi, A. S. (1997). Sensitivity analysis in discrete Bayesian networks. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 27(4), 412-423. Kjærulff, U., & van der Gaag, L. C. (2013). Making Sensitivity Analysis Computationally Efficient. Proceedings of the Sixteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI 2000), pages 317-325. Lucas PJ, V. d.-H. (2004). Bayesian networks in biomedicine and health-care. Artificial intelligence in medicine., (pp. 201-214). Machine Learning Mastery. (1997). Machine Learning. In Machine Learning (p. 184). Machine Learning Mastery. (2006). In Pattern Recognition and Machine Learning (p. 360). 79 | P a g e Spiegelhalter, D. J. (1988). Bayesian graphical modelling: a case‐study in monitoring health outcomes. Journal of the Royal Statistical Society Series A (Statistics in Society), 115-133. Cowell RG, D. A. (1999). Spiegel halter, DJ (1999). Probabilistic Networks and Ex pert Systems. New York: Springer-Verlag, New York. Airoldi, E. (2007). Getting started in Probabilistic Graphical Models. PLoS Computational Biology., (pp. 2421-2425). | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/1319 | |
dc.description | Supervised by Moinul Hossain, PhD, Professor, Department of Civil and Environmental Engineering, Islamic University of Technology (IUT) Board Bazar, Gazipur, Bangladesh. | en_US |
dc.description.abstract | Pedestrian safety is a major concern around the world as pedestrians are the most vulnerable road users. Pedestrian fatalities account for 22% of all road traffic fatalities around the world. The statistics are even grimmer for the developing countries where jaywalking is predominant. There, along with jaywalking, the use of electronic gazettes, especially cell phones, while crossing the road is considered as a triggering factor in acerbating pedestrian casualties and fatalities. This study takes highway intersections of Bangladesh as the study area and delves into thought processing of jaywalkers and pedestrians using cell phones while crossing roads to devise countermeasures for improving pedestrian safety. The study observes pedestrian behavior at 32 intersections on national and regional highways of Bangladesh through video data and subsequently interviews 2,016 pedestrians found jaywalking and/or using cell phones while crossing the road. During this process, data on their socio-economic and demographic characteristics, various risk perceptions, physical obstructions that may have forced jaywalking, distracting cell phone activities, road crossing behavior as well as their knowledge about basic rules of the road were collected. Next, a Bayesian Belief Networks (BBN) was constructed to answer ‘who’, ‘why’ and ‘how’ related questions regarding jaywalkers and pedestrians who use a cell phone while road crossing. The findings suggest that jaywalking is more predominant among males, aged between 26-40 years who have received secondary education despite having decent knowledge regarding basic rules of the road. The most influential factors concerning risky jaywalking and using cell phone while road crossing are ‘Gender’, ‘Jaywalker Activities’, ‘Waiting Time’, ‘Types of Jaywalking’, and ‘Frequency of phone use while jaywalking’. The results of the study revealed that an appropriate, clean and hygienic way for passengers significantly reduces the amount of jaywalk. In the end decision-makers will develop pragmatic safety policies based on the high impact variables associated with the established jaywalking process and the factors that are caused by mobile jaywalking. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Department of Civil and Environmental Engineering (CEE), Islamic University of Technology (IUT), Board Bazar, Gazipur, Bangladesh | en_US |
dc.title | An Extensive Exploration of Pedestrian Safety Hazard Associated with Jaywalking on Highway Intersections in Bangladesh | en_US |
dc.type | Thesis | en_US |