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Dabirinejad, Shahab, tavakoli kashani, ali. (1400). Investigating the Relationship between Motorcyclists’ Lifestyle, Riding Behavior, and At-Fault Crashes. نشریه مهندسی عمران امیرکبیر, 6(1), 133-142. doi: 10.22060/ajce.2022.21077.5790
Shahab Dabirinejad; ali tavakoli kashani. "Investigating the Relationship between Motorcyclists’ Lifestyle, Riding Behavior, and At-Fault Crashes". نشریه مهندسی عمران امیرکبیر, 6, 1, 1400, 133-142. doi: 10.22060/ajce.2022.21077.5790
Dabirinejad, Shahab, tavakoli kashani, ali. (1400). 'Investigating the Relationship between Motorcyclists’ Lifestyle, Riding Behavior, and At-Fault Crashes', نشریه مهندسی عمران امیرکبیر, 6(1), pp. 133-142. doi: 10.22060/ajce.2022.21077.5790
Dabirinejad, Shahab, tavakoli kashani, ali. Investigating the Relationship between Motorcyclists’ Lifestyle, Riding Behavior, and At-Fault Crashes. نشریه مهندسی عمران امیرکبیر, 1400; 6(1): 133-142. doi: 10.22060/ajce.2022.21077.5790

Investigating the Relationship between Motorcyclists’ Lifestyle, Riding Behavior, and At-Fault Crashes

AUT Journal of Civil Engineering
مقاله 9، دوره 6، شماره 1، خرداد 2022، صفحه 133-142    اصل مقاله (902.21 K)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/ajce.2022.21077.5790
نویسندگان
Shahab Dabirinejad1؛ ali tavakoli kashani* 2
1Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran.
2School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.
چکیده
Motorcyclists in developing countries ride on congested urban roads to earn money and are more likely to engage in risky behaviors. They may, however, be deterred by positive motivations and values. Previous studies have indicated that lifestyle reflects human values, which makes it essential to investigate the relationship between lifestyle and riding behavior. The current study aims to investigate relationships between lifestyle factors, aberrant riding behavior, and self-reported crashes in a sample of Iranian motorcyclists. A total of 437 male motorcycle riders participated in the study. The respondents completed a lifestyle questionnaire, a motorcycle rider behavior questionnaire (MRBQ), and items related to at-fault crashes and socio-demographics. To analyze the data, first, we used Explanatory Factor Analysis (EFA) to analyze the questionnaire structure. A Structural Equation Modeling (SEM) study was then conducted to find causal relationships between lifestyle variables, riding behavior, and at-fault crashes. Four factors emerged from the MRBQ as an outcome of EFA: traffic violations, speed violations, errors, and stunts. Results of SEM showed that motorcycle use for recreational purposes increased riders' likelihood of committing violations, errors, and stunts. As an interesting outcome, enhancing morality traits among motorcyclists (an exploratory factor considered in this study) may reduce their stunts to a significant extent. At-fault crashes are also positively associated with motorcyclists' errors, according to the model. The promotion of alternative ways of excitement-seeking may reduce aberrant riding behavior among motorcyclists. As well, implementing measures targeted towards riders with low socioeconomic status would reduce the length of time that they spend working by motorcycle and their errors, increasing safety in countries like Iran.
کلیدواژه‌ها
Motorcycle behavior؛ Lifestyle؛ Crash risk؛ MRBQ؛ Structural equation model
مراجع
  1. World Health Organization, Global status report on road safety 2018, World Health Organization, 2018.
  2. Iran Legal Medicine Organization, 17 thousand people were killed in traffic accidents!, in, <www.lmo.ir>, 2019.
  3. A. Elliott, C.J. Baughan, B.F. Sexton, Errors and violations in relation to motorcyclists’ crash risk, Accident Analysis & Prevention, 39(3) (2007) 491-499.
  4. Rothengatter, Editorial preface, Applied Psychology, 46(3) (1997) 221-222.
  5. Miegel, Values, lifestyles and family communication, Media effects and beyond. Culture, socialization and lifestyles, (1994) 207-241.
  6. Møller, An explorative study of the relationship between lifestyle and driving behavior among young drivers, Accident Analysis & Prevention, 36(6) (2004) 1081-1088.
  7. E. Chliaoutakis, C. Darviri, P.T. Demakakos, The impact of young drivers’ lifestyle on their road traffic accident risk in greater Athens area, Accident Analysis & Prevention, 31(6) (1999) 771-780.
  8. E. Chliaoutakis, S. Koukouli, T. Lajunen, G. Tzamalouka, Lifestyle traits as predictors of driving behavior in urban areas of Greece, Transportation Research Part F: Traffic Psychology and Behaviour, 8(6) (2005) 413-428.
  9. Gnardellis, G. Tzamalouka, M. Papadakaki, J.E. Chliaoutakis, An investigation of the effect of sleepiness, drowsy driving, and lifestyle on vehicle crashes, Transportation research part F: traffic psychology and behavior, 11(4) (2008) 270-281.
  10. Papadakaki, T. Kontogiannis, G. Tzamalouka, C. Darviri, J. Chliaoutakis, Exploring the effects of lifestyle, sleep factors and driving behaviors on sleep-related road risk: A study of Greek drivers, Accident Analysis & Prevention, 40(6) (2008) 2029-2036.
  11. Dabirinejad, A.T. Kashani, T. Nordfjærn, The association between lifestyle and aberrant driving behavior among Iranian car drivers, Transportation research interdisciplinary perspectives, 8 (2020) 100221.
  12. A. Motevalian, M. Asadi-Lari, H. Rahimi, M. Eftekhar, Validation of a Persian version of motorcycle rider behavior questionnaire, Annals of Advances in Automotive Medicine, 91(55) (2011) 91-98.
  13. Özkan, T. Lajunen, B. Doğruyol, Z. Yıldırım, A. Çoymak, Motorcycle accidents, rider behavior, and psychological models, Accident Analysis & Prevention, 49 (2012) 124-132.
  14. Sakashita, T. Senserrick, S. Lo, S. Boufous, L. de Rome, R. Ivers, The Motorcycle Rider Behavior Questionnaire: Psychometric properties and application amongst novice riders in Australia, Transportation research part F: traffic psychology and behavior, 22 (2014) 126-139.
  15. Stephens, J. Brown, L. De Rome, M. Baldock, R. Fernandes, M. Fitzharris, The relationship between Motorcycle Rider Behaviour Questionnaire scores and crashes for riders in Australia, Accident Analysis & Prevention, 102 (2017) 202-212.
  16. Topolšek, D. Dragan, Relationships between the motorcyclists’ behavioral perception and their actual behavior, Transport, 33(1) (2018) 151-164.
  17. T. Bui, I. Saadi, M. Cools, Investigating on-road crash risk and traffic offenses in Vietnam using the motorcycle rider behavior questionnaire (MRBQ), Safety Science, 130 (2020) 104868.
  18. Uttra, S. Jomnonkwao, D. Watthanaklang, V. Ratanavaraha, Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ), Sustainability, 12(7) (2020) 2785.
  19. S. Chouhan, A. Kathuria, C.R. Sekhar, Examining risky riding behavior in India using Motorcycle rider behavior questionnaire, Accident Analysis & Prevention, 160 (2021) 106312.
  20. Sumit, V. Ross, K. Brijs, G. Wets, R.A. Ruiter, Risky motorcycle riding behavior among young riders in Manipal, India, BMC public health, 21(1) (2021) 1-14.
  21. Ospina-Mateus, L.Q. Jiménez, F.J. López-Valdés, The rider behavior questionnaire to explore associations of motorcycle taxi crashes in Cartagena (Colombia), Traffic injury prevention, (2021) 1-5.
  22. P. Gregersen, H.Y. Berg, Lifestyle and accidents among young drivers, Accident Analysis & Prevention, 26(3) (1994) 297-303.
  23. Kaviani, Islamic Lifestyle, and its Measurement Tool, Research Institute of Hawzah and University (RIHU), 2012.
  24. M. Byrne, Structural equation modeling with EQS and EQS/Windows: Basic concepts, applications, and programming, Sage, 1994.
  25. Ho, Handbook of univariate and multivariate data analysis with IBM SPSS, CRC Press, 2013.
  26. H. Kim, P.M. Bentler, Data modeling: Structural equation modeling, Handbook of complementary methods in education research, (2006) 161-175.
  27. Dabirinejad, A.T. Kashani, T. Nordfjærn, A. Afshar, Predicting driving behavior by lifestyle factors: A structural equation modeling approach, in: Transportation Research Board 99th Annual Meeting, United States Washington DC, 2020.
  28. A. Elliott, J.A. Thomson, The social cognitive determinants of offending drivers’ speeding behavior, Accident Analysis & Prevention, 42(6) (2010) 1595-1605.
  29. Parker, S.G. Stradling, A.S. Manstead, Modifying beliefs and attitudes to exceeding the speed limit: An intervention study based on the theory of planned behavior1, Journal of Applied Social Psychology, 26(1) (1996) 1-19.
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