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Pedestrian and driver safety problems caused by the use of a mobile phone - pilot studies

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The use of hand-held mobile phones by drivers and pedestrians is common and is becoming more common every year. Mobile phones have become an integral part of our everyday life, accompanying us in almost every respect. Modern smartphones perform functions that go far beyond their original purpose as devices for making telephone calls. We use them for GPS navigation and electronic banking. Moreover, using mobile applications, we can make purchases and sales of products quickly and safely. The number of people owning mobile phones is growing all over the world, and access to the Internet, which is an integral part of the functioning of modern smartphones, is becoming more and more common. Basic functions of mobile phones, such as making and receiving calls or sending short SMS messages, have long ceased to be sufficient. Thanks to them, we can conduct videoconferences, use advanced applications for time management or health monitoring, and even perform complex professional tasks in mobile mode. Thus, the growing popularity and versatility of mobile phones make them an indispensable tool in our everyday lives, not only as a means of communication, butalso as an irreplaceable source of information, a work tool and a facilitation in everyday activities. The aim of the article is to find out respondents' predispositions to use telephones made of corrugated cardboard during activities such as walking on the street, side of the road, sidewalk, while crossing a pedestrian crossing and while driving. The lack of statistics on road accidents caused by the use of a telephone makes it difficult to determine how big a problem it is to use a telephone in situations where we should maintain limited trust in other road users. The research shows that respondents use a mobile phone while crossing a pedestrian crossing or driving a vehicle. In addition, as many as 19% of respondents admit that they have crossed a pedestrian crossing at least once. The conducted surveys and observational studies constitute an introduction to the development of a system for detecting pedestrians and drivers using mobile phones.
Rocznik
Strony
97--115
Opis fizyczny
Bibliogr. 31 poz., il., tab., wykr.
Twórcy
autor
  • Kielce University of Technology, Department of Automotive Engineering and Transport, Kielce, Poland
  • Kielce University of Technology, Department of Automotive Engineering and Transport, Kielce, Poland
autor
  • University of Žilina, Department of Road and Urban Transport, Žilina, Slovakia
Bibliografia
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  • [3] Hwei, Y. M., Sheikh, U. U., & Alias, N. E. B. (2022). Detection of Mobile Phone Usage While Driving Using Computer Vision and Deep Learning. In Computational Intelligence in Machine Learning: Select Proceedings of ICCIML2021, 173-179. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-16-8484-5_15.
  • [4] Jin, C., Zhu, Z., Bai, Y., Jiang, G., & He, A. (2020). A deep-learning-based scheme for detecting driver cell-phone use. IEEE access, 8, 18580-18589, https://doi.org/10.1109/ACCESS.2020.2968464
  • [5] Frej, D., Jaśkiewicz, M., Poliak, M., & Zwierzewicz, Z. (2022). Smartphone Use in Traffic: A Pilot Study on Pedestrian Behavior. Applied Sciences, 12(24), 12676. https://doi.org/10.3390/app122412676.
  • [6] Sobrinho-Junior, S. A., de Almeida, A. C. N., Ceabras, A. A. P., da Silva Carvalho, C. L., Lino, T. B., & Christofoletti, G. (2022). Risks of accidents caused by the use of smart-phone by pedestrians are task-and environment-dependent. International journal of environmental research and public health, 19(16), 10320. https://doi.org/10.3390/ijerph191610320.
  • [7] Frej, D. P., Ludwinek, K. (2020). Analysis of road accidents in 2002 - 2019 on the example of Poland. The Archives of Automotive Engineering – Archiwum Motoryzacji, 89(3), 5-18. https://doi.org/10.14669/AM.VOL89.ART1
  • [8] Nguyen-Phuoc, D. Q., Oviedo-Trespalacios, O., Su, D. N., De Gruyter, C., & Nguyen, T. (2020). Mobile phone use among car drivers and motorcycle riders: The effect of problematic mobile phone use, attitudes, beliefs and perceived risk. Accident Analysis & Prevention, 143, 105592. https://doi.org/10.1016/j.aap.2020.105592.
  • [9] Singh, H., & Kathuria, A. (2021). Analyzing driver behavior under naturalistic driving conditions: A review. Accident Analysis & Prevention, 150, 105908. https://doi.org/10.1016/j.aap.2020.105908.
  • [10] Kent, S., Masterson, C., Ali, R., Parsons, C. E., & Bewick, B. M. (2021). Digital intervention for problematic smart-phone use. International Journal of Environmental Research and Public Health, 18(24), 13165. https://doi.org/10.3390/ijerph182413165.
  • [11] Larue, G. S., & Watling, C. N. (2022). Prevalence and dynamics of distracted pedestrian behaviour at railway level crossings: Emerging issues. Accident Analysis & Prevention, 165, 106508, https://doi.org/10.1016/j.aap.2021.106508
  • [12] Lino, T. B., Silva, M. N. D. O. D., Paula, I. C. D., Melo, S. J. L. D., Barbosa, S. R. M., & Christofoletti, G. (2023). Using the cell phone while standing or walking affects balance and mobility in people with Parkinson’s disease. Arquivos de Neuro-Psiquiatria, 81, 377-383, https://doi.org/10.1055/s-0043-1767825.
  • [13] 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.
  • [14] Strayer, D. L., & Drew, F. A. (2004). Profiles in Driver Distraction: Effects of Cell Phone Conversations on Younger and Older Drivers. Human Factors,46(4), 640-649. https://doi.org/10.1518/hfes.46.4.640.5680.
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  • [17] Noble, A. M., Miles, M., Perez, M. A., Guo, F., & Klauer, S. G. (2021). Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems. Accident Analysis & Prevention, 151, 105959. https://doi.org/10.1016/j.aap.2020.105959.
  • [18] Langer, P., Holzner, B., Magnet, W., & Kopp, M. (2005). Hands-free mobile phone conversation impairs the peripheral visual system to an extent comparable to an alcohol level of 4-5g 100 ml. Human Psychopharmacology: Clinical and Experimental, 20(1), 65-66. https://doi.org/10.1002/hup.654
  • [19] Laberge-Nadeau, C., Maag, U., Bellavance, F., Lapierre, S. D., Desjardins, D., Messier, S., & Saı̈di, A. (2003). Wireless telephones and the risk of road crashes. Accident Analysis & Prevention, 35(5), 649-660. https://doi.org/10.1016/S0001-4575(02)00043-X.
  • [20] 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
  • [21] Hyman Jr, I. E., Boss, S. M., Wise, B. M., McKenzie, K. E., & Caggiano, J. M. (2010). 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.
  • [22] 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 & Prevention, 45, 266-271. https://doi.org/10.1016/j.aap.2011.07.011.
  • [23] Campisi, T., Otković, I. I., Šurdonja, S., & Deluka-Tibljaš, A. (2022). Impact of social and technological distraction on pedestrian crossing behaviour: a case study in Enna, Sicily. Transportation research procedia, 60, 100-107. https://doi.org/10.1016/j.trpro.2021.12.014.
  • [24] Nasar, J. L., & Troyer, D. (2013). Pedestrian injuries due to mobile phone use in public places. Accident Analysis & Prevention, 57, 91-95, https://doi.org/10.1016/j.aap.2013.03.021.
  • [25] 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
  • [26] Hao, Q. H., Wang, Y., Zhou, M. Z., Yi, T., Cui, J. R., Gao, P., ... & Zhu, T. M. (2022). Factors Influencing Pedestrian Smartphone Use and Effect of Combined Visual and Auditory Intervention on “Smombies”: A Chinese Observational Study. International journal of public health, 67, 1604601, https://doi.org/10.3389/ijph.2022.1604601
  • [27] Shocking data. How many accidents do smart phones cause, (in): https://motoryzacja.interia.pl/wiadomosci/bezpieczenstwo/news-szokujace-dane-ile-wypadkow-powoduja_smartfony,nId,2600387#google_vignetteutm_source=paste&utm_medium=paste&utm_campaign=chrome, (Access from 15.08.2023).
  • [28] Plaga wypadków samochodowych z powodu używania telefonu. Ile wynosi mandat?, (The scourge of car accidents due to phone use. How much is the fine?), (in): https://www.bankier.pl/moto/plaga-wypadkow-samochodowych-z-powodu-uzywania-telefonu-ile-wynosi-mandat-13155/, (Access from 15.08.2023).
  • [29] Pešić, D., Antić, B., Glavić, D., & Milenković, M. (2016). The effects of mobile phone use on pedestrian crossing behaviour at unsignalized intersections-Models for predicting unsafe pedestrians behaviour. Safety science, 82, 1-8, https://doi.org/10.1016/j.ssci.201.
  • [30] Hualong Z, Cunbao Z, Feng Ch, YuanYuan W., (2019). Effects of mobile phone use on pedestrian crossing behavior and safty at unsignalized intersections. Canadian Journal of Civil Engineering. 46(5): 381-388. https://doi.org/10.1139/cjce-2017-0649.
  • [31] Zhou Z, Liu S, Xu W, Pu Z, Zhang S, Zhou Y. (2019), Impacts of mobile phone distractions on pedestrian crossing behavior at signalized intersections: An observational study in China. Advances in Mechanical Engineering. 11(4). https://doi.org/10.1177/168781401984183.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c298fa38-9767-4543-a426-f3f8f5109800
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