Investigating the role of beliefs in influencing the hand-held and hands-free mobile phone use among pedestrians in India

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Alhajyaseen, W. K., Almukdad, A., Hussain, Q., Almallah, M., Al Malki, M. A., Singaravelu, J., & Zammataro, S. (2022). Road safety status during COVID-19 pandemic: Exploring public and road safety expert’s opinions. International Journal of Injury Control and Safety Promotion, 29(2), 135–151.
   Web of Science ®Google Scholar
• Aranha, J. (2018). Don’t use your phone the next time you cross the road, Kolkata cops will confiscate it. The Better India. https://www.thebetterindia.com/132737/kolkata-cops-phone-confiscate/
   Google Scholar
• Barin, E. N., McLaughlin, C. M., Farag, M. W., Jensen, A. R., Upperman, J. S., & Arbogast, H. (2018). Heads up, phones down: A pedestrian safety intervention on distracted crosswalk behavior. Journal of Community Health, 43(4), 810–815.
   PubMed Web of Science ®Google Scholar
• Barton, B. K., Kologi, S. M., & Siron, A. (2016). Distracted pedestrians in crosswalks: An application of the theory of planned behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 37, 129–137. https://doi.org/10.1016/j.trf.2015.12.012
   Web of Science ®Google Scholar
• Basch, C. H., Ethan, D., Rajan, S., & Basch, C. E. (2014). Technology-related distracted walking behaviours in Manhattan's most dangerous intersections. Injury Prevention: Journal of the International Society for Child and Adolescent Injury Prevention, 20(5), 343–346.
   PubMed Web of Science ®Google Scholar
• Bhattacharya, A. (2018). An alarming number of teenagers take selfies crossing India’s dangerous roads. Quartz India. https://qz.com/india/1208204/india-survey-shows-distracted-drivers-using-phones-pedestrians-taking-selfies-crossing-road/
   Google Scholar
• Cochran, W. G. (1977). Sampling techniques (3rd ed.). Wiley.
   Google Scholar
• Dandona, R., Kumar, G. A., Gururaj, G., James, S., Chakma, J. K., Thakur, J. S., Srivastava, A., Kumaresh, G., Glenn, S. D., Gupta, G., Krishnankutty, R. P., Malhotra, R., Mountjoy-Venning, W. C., Mutreja, P., Pandey, A., Shukla, D. K., Varghese, C. M., Yadav, G., Reddy, K. S., … Dandona, L. (2020). Mortality due to road injuries in the states of India: The Global Burden of Disease Study 1990–2017. The Lancet Public Health, 5(2), e86–e98. https://doi.org/10.1016/S2468-2667(19)30246-4
   PubMed Web of Science ®Google Scholar
• Das, S., Dutta, A., Avelar, R., Dixon, K., Sun, X., & Jalayer, M. (2019). Supervised association rules mining on pedestrian crashes in urban areas: Identifying patterns for appropriate countermeasures. International Journal of Urban Sciences, 23(1), 30–48. https://doi.org/10.1080/12265934.2018.1431146
   Web of Science ®Google Scholar
• Dreßler, A., Silla, A., Kortsari, A., Havârneanu, G., Whalley, S., & Grippenkoven, J. (2020). Human-centered measures to enhance safety at level crossings. In Proceedings of 8th Transport Research Arena TRA 2020.
   Google Scholar
• Elliott, M. A., Armitage, C. J., & Baughan, C. J. (2005). Exploring the beliefs underpinning drivers’ intentions to comply with speed limits. Transportation Research Part F: Traffic Psychology and Behaviour, 8(6), 459–479. https://doi.org/10.1016/j.trf.2005.08.002
   Web of Science ®Google Scholar
• Elliott, M. A., Paterson, A., Orr, S., Marshall, C., Wood, C., Toye, M., & Wilson, C. (2021). Evidence that implementation intentions reduce drivers’ use of mobile phones while driving. Transportation Research Part F: Traffic Psychology and Behaviour, 78, 381–397. https://doi.org/10.1016/j.trf.2021.03.002
   Web of Science ®Google Scholar
• Gauld, C. S., Lewis, I., & White, K. M. (2014). Concealed texting while driving: What are young people’s beliefs about this risky behaviour? Safety Science, 65, 63–69. https://doi.org/10.1016/j.ssci.2013.12.017
   Web of Science ®Google Scholar
• Gauld, C. S., Lewis, I. M., White, K. M., & Watson, B. (2016a). Young drivers’ engagement with social interactive technology on their smartphone: Critical beliefs to target in public education messages. Accident; Analysis and Prevention, 96, 208–218. https://doi.org/10.1016/j.aap.2016.07.041
   PubMed Web of Science ®Google Scholar
• Gauld, C. S., Lewis, I. M., White, K. M., & Watson, B. (2016b). Key beliefs influencing young drivers’ engagement with social interactive technology on their smartphones: A qualitative study. Traffic Injury Prevention, 17(2), 128–133. https://doi.org/10.1080/15389588.2015.1047014
   PubMed Web of Science ®Google Scholar
• Haga, S., Sano, A., Sekine, Y., Sato, H., Yamaguchi, S., & Masuda, K. (2015). Effects of using a smart phone on pedestrians’ attention and walking. Procedia Manufacturing, 3, 2574–2580. https://doi.org/10.1016/j.promfg.2015.07.564
   Google Scholar
• Hatfield, J., & Murphy, S. (2007). The effects of mobile phone use on pedestrian crossing behaviour at signalised and unsignalised intersections. Accident Analysis & Prevention, 39(1), 197–205. https://doi.org/10.1016/j.aap.2006.07.001
   PubMed Web of Science ®Google Scholar
• Hill, T., Stephens, A. N., & Sullman, M. J. (2021). Mobile phone applications use while driving in Ukraine: Self-reported frequencies and psychosocial factors underpinning this risky behaviour. PloS One, 16(2), e0247006. https://doi.org/10.1371/journal.pone.0247006
   PubMed Web of Science ®Google Scholar
• Hill, T., Sullman, M. J. M., & Stephens, A. N. (2019). Mobile phone involvement, beliefs, and texting while driving in Ukraine. Accident; Analysis and Prevention, 125, 124–131. https://doi.org/10.1016/j.aap.2019.01.035
   PubMed Web of Science ®Google Scholar
• Horberry, T., Osborne, R., & Young, K. (2019). Pedestrian smartphone distraction: Prevalence and potential severity. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 515–523. https://doi.org/10.1016/j.trf.2018.11.011
   Web of Science ®Google Scholar
• Hosking, S. G., Young, K. L., & Regan, M. A. (2009). The effects of text messaging on young drivers. Human Factors: The Journal of the Human Factors and Ergonomics Society, 51(4), 582–592. https://doi.org/10.1177/0018720809341575
   PubMed Web of Science ®Google Scholar
• Hsiao, M., Malhotra, A., Thakur, J. S., Sheth, J. K., Nathens, A. B., Dhingra, N., Jha, P., & Million Death Study. (2013). Road traffic injury mortality and its mechanisms in India: Nationally representative mortality survey of 1.1 million homes. BMJ Open, 3(8), e002621. https://doi.org/10.1136/bmjopen-2013-002621
   PubMed Web of Science ®Google Scholar
• Hyman, I. E., Jr, Boss, S. M., Wise, B. M., McKenzie, K. E., & Caggiano, J. M. (2009). Did you see the unicycling clown? Inattentional blindness while walking and talking on a cell phone. Applied Cognitive Psychology, 24(5), 597–607. https://doi.org/10.1002/acp.1638
   Web of Science ®Google Scholar
• 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 & Prevention, 115, 170–177. https://doi.org/10.1016/j.aap.2018.03.019
   PubMed Web of Science ®Google Scholar
• Jiang, K., Ling, F., Feng, Z., Wang, K., & Guo, L. (2017). Psychological predictors of mobile phone use while crossing the street among college students: An application of the Theory of planned behavior. Traffic Injury Prevention, 18(2), 118–123.
   PubMed Web of Science ®Google Scholar
• Kim, E., Kim, H., Kwon, Y., Choi, S., & Shin, G. (2021). Performance of ground-level signal detection when using a phone while walking. Accident Analysis & Prevention, 151, 105909. https://doi.org/10.1016/j.aap.2020.105909
   PubMed Web of Science ®Google Scholar
• Koh, H., & Mackert, M. (2016). A study exploring factors of decision to text while walking among college students based on Theory of Planned Behavior (TPB). Journal of American College Health, 64(8), 619–627.
   PubMed Web of Science ®Google Scholar
• Larue, G. S., & Watling, C. N. (2021). Acceptance of visual and audio interventions for distracted pedestrians. Transportation Research Part F: Traffic Psychology and Behaviour, 76, 369–383. https://doi.org/10.1016/j.trf.2020.12.001
   Web of Science ®Google Scholar
• Ledesma, R. D., Tosi, J. D., Díaz-Lázaro, C. M., & Poó, F. M. (2018). Predicting road safety behavior with implicit attitudes and the Theory of Planned Behavior. Journal of Safety Research, 66, 187–194.
   PubMed Web of Science ®Google Scholar
• Lee, H. M., Bai, Z., Ho, Y. S., Soh, J. X., & Lee, H. P. (2020). Effect of music from headphone on pedestrians. Applied Acoustics, 169, 107485. https://doi.org/10.1016/j.apacoust.2020.107485
   Web of Science ®Google Scholar
• 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, 98, 338–347. https://doi.org/10.1016/j.aap.2016.10.028
   PubMed Web of Science ®Google Scholar
• Liu, Y., Alsaleh, R., & Sayed, T. (2021). Modeling the influence of mobile phone use distraction on pedestrian reaction times to green signals: A multilevel mixed-effects parametric survival model. Transportation Research Part F: Traffic Psychology and Behaviour, 81, 115–129. https://doi.org/10.1016/j.trf.2021.05.020
   Web of Science ®Google Scholar
• Metaxatos, P., & Sriraj, P. S. (2015). Pedestrian safety at rail grade crossings: Focus areas for research and intervention. Urban Rail Transit, 1(4), 238–248. https://doi.org/10.1007/s40864-016-0030-4
   Web of Science ®Google Scholar
• Ministry of Road Transport and Highways (MoRTH). (2020). Road accidents in India – 2019. Transport Research Wing. https://morth.nic.in/sites/default/files/RA_Uploading.pdf
   Google Scholar
• Mukherjee, D., & Mitra, S. (2020). A comprehensive study on factors influencing pedestrian signal violation behaviour: Experience from Kolkata City, India. Safety Science, 124, 104610. https://doi.org/10.1016/j.ssci.2020.104610
   Web of Science ®Google Scholar
• Nasar, J. L., & Troyer, D. (2013). Pedestrian injuries due to mobile phone use in public places. Accident; Analysis and Prevention, 57, 91–95. https://doi.org/10.1016/j.aap.2013.03.021
   PubMed Web of Science ®Google Scholar
• Neider, M. B., McCarley, J. S., Crowell, J. A., Kaczmarski, H., & Kramer, A. F. (2010). Pedestrians, vehicles, and cell phones. Accident; Analysis and Prevention, 42(2), 589–594. https://doi.org/10.1016/j.aap.2009.10.004
   PubMed Web of Science ®Google Scholar
• O'Dell, A. L., Filtness, A. J., & Morris, A. P. (2022). Predicting the intention of distracted pedestrians at road crossings. Accident Analysis & Prevention, 173, 106707. https://doi.org/10.1016/j.aap.2022.106707
   PubMed Web of Science ®Google Scholar
• Ortiz, N. C., Ramnarayan, M., & Mizenko, K. (2017). Distraction and road user behavior: An observational pilot study across intersections in Washington, DC. Journal of Transport & Health, 7, 13–22. https://doi.org/10.1016/j.jth.2017.05.362
   Web of Science ®Google Scholar
• Osborne, R., Horberry, T., & Young, K. L. (2020). Pedestrian distraction from Smartphones: An end-user perspective on current and future countermeasures. Transportation Research Part F: Traffic Psychology and Behaviour, 73, 348–361. https://doi.org/10.1016/j.trf.2020.07.007
   Web of Science ®Google Scholar
• Ouellette, J. A., & Wood, W. (1998). Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychological Bulletin, 124(1), 54–74. https://doi.org/10.1037/0033-2909.124.1.54
   Web of Science ®Google Scholar
• Parr, N. D., Hass, C. J., & Tillman, M. D. (2014). Cellular phone texting impairs gait in able-bodied young adults. Journal of Applied Biomechanics, 30(6), 685–688. https://doi.org/10.1123/jab.2014-0017
   PubMed Web of Science ®Google Scholar
• Pawar, D. S., & Yadav, A. K. (2022). Modelling the pedestrian dilemma zone at uncontrolled midblock sections. Journal of Safety Research, 80, 87–96.
   PubMed Web of Science ®Google Scholar
• Piazza, A. J., Knowlden, A. P., Hibberd, E., Leeper, J., Paschal, A. M., & Usdan, S. (2020). Distracted mobile device use among street-crossing college student pedestrians: An observational approach. Journal of American College Health, 1–8. https://doi.org/10.1080/07448481.2020.1845182
   Google Scholar
• Piazza, A. J., Knowlden, A. P., Hibberd, E., Leeper, J., Paschal, A. M., & Usdan, S. (2019). Mobile device use while crossing the street: Utilizing the theory of planned behavior. Accident; Analysis and Prevention, 127, 9–18.
   PubMed Web of Science ®Google Scholar
• Prat, F., Gras, M. E., Planes, M., González-Iglesias, B., & Sullman, M. J. M. (2015). Psychological predictors of texting while driving among university students. Transportation Research Part F: Traffic Psychology and Behaviour, 34, 76–85. https://doi.org/10.1016/j.trf.2015.07.023
   Web of Science ®Google Scholar
• Priyadarshini, P., & Mitra, S. (2018). Investigating pedestrian risk factors leading to pedestrian fatalities in Kolkata city roads. Transportation in Developing Economies, 4(1), 1–11. https://doi.org/10.1007/s40890-017-0054-9
   Web of Science ®Google Scholar
• Przepiorka, A. M., Błachnio, A. P., & Sullman, M. J. (2018). Factors influencing intentions to text while driving among Polish drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 55, 306–313.
   Google Scholar
• Przepiorka, A. M., Blachnio, A. P., Prat, F., & Sullman, M. J. (2020). Do beliefs differ between frequent and infrequent hand-held and hands-free phone users while driving? A Polish study. Journal of Public Health, 28(6), 665–669. https://doi.org/10.1007/s10389-019-01087-z
   Web of Science ®Google Scholar
• Redelmeier, D. A., & Tibshirani, R. J. (1997). Association between cellular-telephone calls and motor vehicle collisions. New England Journal of Medicine, 336(7), 453–458. https://doi.org/10.1056/NEJM199702133360701
   PubMed Web of Science ®Google Scholar
• Ropaka, M., Nikolaou, D., & Yannis, G. (2020). Investigation of traffic and safety behavior of pedestrians while texting or web-surfing. Traffic Injury Prevention, 21(6), 389–394. https://doi.org/10.1080/15389588.2020.1770741
   PubMed Web of Science ®Google Scholar
• Schwebel, D. C., Hasan, R., Griffin, R., Hasan, R., Hoque, M. A., Karim, M. Y., Luo, K., & Johnston, A. (2021). Reducing distracted pedestrian behavior using bluetooth beacon technology: A crossover trial. Accident; Analysis and Prevention, 159, 106253.
   PubMed Web of Science ®Google Scholar
• Schwebel, D. C., Stavrinos, D., Byington, K. W., Davis, T., O'Neal, E. E., & de Jong, D. (2012). Distraction and pedestrian safety: How talking on the phone, texting, and listening to music impact crossing the street. Accident; Analysis and Prevention, 45, 266–271. https://doi.org/10.1016/j.aap.2011.07.011
   PubMed Web of Science ®Google Scholar
• Simmons, S. M., Caird, J. K., Ta, A., Sterzer, F., & Hagel, B. E. (2020). Plight of the distracted pedestrian: A research synthesis and meta-analysis of mobile phone use on crossing behaviour. Injury Prevention: Journal of the International Society for Child and Adolescent Injury Prevention, 26(2), 170–176.
   PubMed Web of Science ®Google Scholar
• Smith, A. (2014). More than half of cell owners affected by ‘distracted walking’. Pew Research Center. http://www.pewresearch.org/fact-tank/2014/01/02/morethan-half-of-cell-owners-affected-by-distracted-walking/
   Google Scholar
• Sullman, M. J., Przepiorka, A. M., Prat, F., & Blachnio, A. P. (2018). The role of beliefs in the use of hands-free and handheld mobile phones while driving. Journal of Transport & Health, 9, 187–194. https://doi.org/10.1016/j.jth.2018.04.001
   Web of Science ®Google Scholar
• Suzuki, K., Tang, K., Alhajyaseen, W., Suzuki, K., & Nakamura, H. (2022). An international comparative study on driving attitudes and behaviors based on questionnaire surveys. IATSS Research (in Press), 46(1), 26–35. https://doi.org/10.1016/j.iatssr.2021.10.002
   Web of Science ®Google Scholar
• Tapiro, H., Oron-Gilad, T., & Parmet, Y. (2020). Pedestrian distraction: The effects of road environment complexity and age on pedestrian’s visual attention and crossing behavior. Journal of Safety Research, 72, 101–109.
   PubMed Web of Science ®Google Scholar
• Thompson, L. L., Rivara, F. P., Ayyagari, R. C., & Ebel, B. E. (2013). Impact of social and technological distraction on pedestrian crossing behaviour: An observational study. Injury Prevention, 19(4), 232–237. https://doi.org/10.1136/injuryprev-2012-040601
   PubMed Web of Science ®Google Scholar
• Timmermans, C., Alhajyaseen, W., Al Mamun, A., Wakjira, T., Qasem, M., Almallah, M., & Younis, H. (2019b). Analysis of road traffic crashes in the State of Qatar. International Journal of Injury Control and Safety Promotion, 26(3), 242–250. https://doi.org/10.1080/17457300.2019.1620289
   PubMed Web of Science ®Google Scholar
• Timmermans, C., Alhajyaseen, W., Reinolsmann, N., Nakamura, H., & Suzuki, K. (2019a). Traffic safety culture of professional drivers in the State of Qatar. IATSS Research, 43(4), 286–296. https://doi.org/10.1016/j.iatssr.2019.03.004
   Web of Science ®Google Scholar
• Vasudevan, V., Mehta, M., & Dutta, B. (2020). Pedestrian temporal gap acceptance behavior at unsignalized intersections in Kanpur, India. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 95–103. https://doi.org/10.1016/j.trf.2020.08.010
   Web of Science ®Google Scholar
• Violano, P., Roney, L., & Bechtel, K. (2015). The incidence of pedestrian distraction at urban intersections after implementation of a Streets Smarts campaign. Injury Epidemiology, 2(1), 1–7. https://doi.org/10.1186/s40621-015-0050-7
   PubMedGoogle Scholar
• Vollrath, M., Huemer, A. K., & Nicolai, C. (2019). Young people use their smartphone all the time–even when crossing the street? IET Intelligent Transport Systems, 13(8), 1213–1217. https://doi.org/10.1049/iet-its.2018.5548
   Web of Science ®Google Scholar
• Walker, E. J., Lanthier, S. N., Risko, E. F., & Kingstone, A. (2012). The effects of personal music devices on pedestrian behaviour. Safety Science, 50(1), 123–128. https://doi.org/10.1016/j.ssci.2011.07.011
   Web of Science ®Google Scholar
• Warner, H. W., & Åberg, L. (2008). Drivers’ beliefs about exceeding the speed limits. Transportation Research Part F: Traffic Psychology and Behaviour, 11(5), 376–389. https://doi.org/10.1016/j.trf.2008.03.002
   Web of Science ®Google Scholar
• Wells, H. L., McClure, L. A., Porter, B. E., & Schwebel, D. C. (2018). Distracted pedestrian behavior on two urban college campuses. Journal of Community Health, 43(1), 96–102.
   PubMed Web of Science ®Google Scholar
• White, K. M., Hyde, M. K., Walsh, S. P., & Watson, B. (2010). Mobile phone use while driving: An investigation of the beliefs influencing drivers’ hands-free and hand-held mobile phone use. Transportation Research Part F: Traffic Psychology and Behaviour, 13(1), 9–20. https://doi.org/10.1016/j.trf.2009.09.004
   Web of Science ®Google Scholar
• Yadav, A. K., & Velaga, N. R. (2021a). Modelling brake transition time of young alcohol-impaired drivers using hazard-based duration models. Accident Analysis & Prevention, 157, 106169. https://doi.org/10.1016/j.aap.2021.106169
   PubMed Web of Science ®Google Scholar
• Yadav, A. K., & Velaga, N. R. (2021b). A comprehensive systematic review of the laboratory-based research investigating the influence of alcohol on driving behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 81, 557–585. https://doi.org/10.1016/j.trf.2021.07.010
   Web of Science ®Google Scholar
• Yannis, G., Nikolaou, D., Laiou, A., Stürmer, Y. A., Buttler, I., & Jankowska-Karpa, D. (2020). Vulnerable road users: Cross-cultural perspectives on performance and attitudes. IATSS Research, 44(3), 220–229. https://doi.org/10.1016/j.iatssr.2020.08.006
   Web of Science ®Google Scholar
• Zhao, Y., Liu, D., & Wang, J. X. (2015). The influence of pedestrians’ cell phone use while crossing on traffic safety in Beijing. Journal of Chinese People’s Public Security University (Science and Technology), 2, 58–62.
   Google Scholar