Table of Contents Author Guidelines Submit a Manuscript
Journal of Advanced Transportation
Volume 2019, Article ID 2345903, 13 pages
https://doi.org/10.1155/2019/2345903
Research Article

A Random Parameter Logit Model of Immediate Red-Light Running Behavior of Pedestrians and Cyclists at Major-Major Intersections

1Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Shangyuancun No. 3, Haidian District, Beijing, 100044, China
2Department of Civil and Environmental Engineering, Pennsylvania State University, University Park, PA 16802, USA
3Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China
4Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA

Correspondence should be addressed to Xiaobao Yang; nc.ude.utjb@bxgnay

Received 10 December 2018; Revised 8 May 2019; Accepted 21 June 2019; Published 8 July 2019

Academic Editor: Richard S. Tay

Copyright © 2019 Wencheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Traffic Management Bureau of Ministry of Public Security, Road Traffic Accident Statistics' Annual Report of PRC (2014), Traffic Management Bureau of Ministry of Public Security, Beijing, China, 2014.
  2. F. Fraboni, V. M. Puchades, M. De Angelis, G. Prati, and L. Pietrantoni, “Social influence and different types of red-light behaviors among cyclists,” Frontiers in Psychology, vol. 7, pp. 1–9, 2016. View at Google Scholar · View at Scopus
  3. M. Johnson, J. Charlton, J. Oxley, and S. Newstead, “Why do cyclists infringe at red lights? An investigation of Australian cyclists' reasons for red light infringement,” Accident Analysis & Prevention, vol. 50, no. 1, pp. 840–847, 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. X. Yang, M. Abdel-Aty, M. Huan, Y. Peng, and Z. Gao, “An accelerated failure time model for investigating pedestrian crossing behavior and waiting times at signalized intersections,” Accident Analysis & Prevention, vol. 82, pp. 154–162, 2015. View at Publisher · View at Google Scholar · View at Scopus
  5. X. Yang, M. Huan, M. Abdel-Aty, Y. Peng, and Z. Gao, “A hazard-based duration model for analyzing crossing behavior of cyclists and electric bike riders at signalized intersections,” Accident Analysis & Prevention, vol. 74, pp. 33–41, 2015. View at Publisher · View at Google Scholar · View at Scopus
  6. Traffic Management Bureau of Ministry of Public Security, Road Traffic Accident Statistics' Annual Report of PRC (2004), Traffic Management Bureau of Ministry of Public Security, Beijing, China, 2005.
  7. R. G. Thom and A. M. Clayton, “Low-cost opportunities for making cities bicyclefriendly based on a case study analysis of cyclist behavior and accidents,” Transportation Research Record, vol. 1372, pp. 90–101, 1992. View at Google Scholar
  8. C.-W. Pai and R.-C. Jou, “Cyclists' red-light running behaviours: An examination of risk-taking, opportunistic, and law-obeying behaviours,” Accident Analysis & Prevention, vol. 62, pp. 191–198, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Johnson, S. Newstead, J. Charlton, and J. Oxley, “Riding through red lights: the rate, characteristics and risk factors of non-compliant urban commuter cyclists,” Accident Analysis & Prevention, vol. 43, no. 1, pp. 323–328, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. C. Wu, L. Yao, and K. Zhang, “The red-light running behavior of electric bike riders and cyclists at urban intersections in China: an observational study,” Accident Analysis & Prevention, vol. 49, pp. 186–192, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. Zhang and C. Wu, “The effects of sunshields on red light running behavior of cyclists and electric bike riders,” Accident Analysis & Prevention, vol. 52, pp. 210–218, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. T. Rosenbloom, “Crossing at a red light: behaviour of individuals and groups,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 12, no. 5, pp. 389–394, 2009. View at Publisher · View at Google Scholar · View at Scopus
  13. A. V. Moudon, L. Lin, J. Jiao, P. Hurvitz, and P. Reeves, “The risk of pedestrian injury and fatality in collisions with motor vehicles, a social ecological study of state routes and city streets in King County, Washington,” Accident Analysis & Prevention, vol. 43, no. 1, pp. 11–24, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. W. Zhang, K. Wang, L. Wang, Z. Feng, and Y. Du, “Exploring factors affecting pedestrians red-light running behaviors at intersections in China,” Accident Analysis & Prevention, vol. 96, pp. 71–78, 2016. View at Google Scholar
  15. S. M. Hubbard, D. M. Bullock, and F. L. Mannering, “Right turns on green and pedestrian level of service: statistical assessment,” Journal of Transportation Engineering, vol. 135, no. 4, pp. 153–159, 2009. View at Publisher · View at Google Scholar
  16. G. Ren, Z. Zhou, W. Wang, Y. Zhang, and W. Wang, “Crossing behaviors of pedestrians at signalized intersections: Observational study and survey in China,” Transportation Research Record, vol. 2264, no. 1, pp. 65–73, 2011. View at Google Scholar · View at Scopus
  17. C. Xu, W. Wang, P. Liu, and F. Zhang, “Development of a real-time crash risk prediction model incorporating the various crash mechanisms across different traffic states,” Traffic Injury Prevention, vol. 16, no. 1, pp. 28–35, 2015. View at Publisher · View at Google Scholar · View at Scopus
  18. P. C. Anastasopoulos, S. Labi, A. Bhargava, and F. L. Mannering, “Empirical assessment of the likelihood and duration of highway project time delays,” Journal of Construction Engineering and Management, vol. 138, no. 3, pp. 390–398, 2012. View at Publisher · View at Google Scholar
  19. Y. Guo, Z. Li, Y. Wu, and C. Xu, “Exploring unobserved heterogeneity in bicyclists’ red-light running behaviors at different crossing facilities,” Accident Analysis & Prevention, vol. 115, pp. 118–127, 2018. View at Publisher · View at Google Scholar · View at Scopus
  20. J. C. Milton, V. N. Shankar, and F. L. Mannering, “Highway accident severities and the mixed logit model: an exploratory empirical analysis,” Accident Analysis & Prevention, vol. 40, no. 1, pp. 260–266, 2008. View at Publisher · View at Google Scholar · View at Scopus
  21. F. Chen, S. Chen, and X. Ma, “Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data,” Journal of Safety Research, vol. 65, pp. 153–159, 2018. View at Publisher · View at Google Scholar · View at Scopus
  22. B. Dong, X. Ma, F. Chen, and S. Chen, “Investigating the differences of single-vehicle and multivehicle accident probability using mixed logit model,” Journal of Advanced Transportation, vol. 2018, Article ID 2702360, 9 pages, 2018. View at Publisher · View at Google Scholar · View at Scopus
  23. R. Yu, M. Quddus, X. Wang, and K. Yang, “Impact of data aggregation approaches on the relationships between operating speed and traffic safety,” Accident Analysis & Prevention, vol. 120, pp. 304–310, 2018. View at Publisher · View at Google Scholar · View at Scopus
  24. F. Chen and S. Chen, “Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways,” Accident Analysis & Prevention, vol. 43, no. 5, pp. 1677–1688, 2011. View at Publisher · View at Google Scholar · View at Scopus
  25. M. M. Hamed, “Analysis of pedestrians' behavior at pedestrian crossings,” Safety Science, vol. 38, no. 1, pp. 63–82, 2001. View at Publisher · View at Google Scholar · View at Scopus
  26. H. Guo, W. Wang, W. Guo, X. Jiang, and H. Bubb, “Reliability analysis of pedestrian safety crossing in urban traffic environment,” Safety Science, vol. 50, no. 4, pp. 968–973, 2012. View at Publisher · View at Google Scholar · View at Scopus
  27. K. Lipovac, M. Vujanic, B. Maric, and M. Nesic, “The influence of a pedestrian countdown display on pedestrian behavior at signalized pedestrian crossings,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 20, pp. 121–134, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. P. Chen, G. Yu, X. Wu, Y. Ren, and Y. Li, “Estimation of red-light running frequency using high-resolution traffic and signal data,” Accident Analysis & Prevention, vol. 102, pp. 235–247, 2017. View at Publisher · View at Google Scholar
  29. S. P. Washington, M. G. Karlaftis, and F. L. Mannering, Statistical and Econometric Methods for Transportation Data Analysis, CRC Press, Boca Raton, Fla, USA, 2nd edition, 2011. View at MathSciNet
  30. K. K. W. Yau, “Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong,” Accident Analysis & Prevention, vol. 36, no. 3, pp. 333–340, 2004. View at Publisher · View at Google Scholar · View at Scopus
  31. K. Lui, D. McGee, P. Rhodes, and D. Pollock, “An application of a conditional logistic regression to study the effects of safety belts, principal impact points, and car weights on drivers' fatalities,” Journal of Safety Research, vol. 19, no. 4, pp. 197–203, 1988. View at Publisher · View at Google Scholar
  32. D. Brownstone, A. Ghosh, T. F. Golob, C. Kazuimi, and D. V. Amelsfort, “Drivers' willingness-to-pray to reduce travel time: Evidence from the San Diego I-15 congestion pricing project,” Transportation Research Part A: Policy and Practice, vol. 37, no. 4, pp. 373–387, 2003. View at Publisher · View at Google Scholar · View at Scopus
  33. D. K. Y. Wong, D. E. Pitfield, R. E. Caves, and A. J. Appleyard, “The development of a more risk-sensitive and flexible airport safety area strategy: Part II. Accident location analysis and airport risk assessment case studies,” Safety Science, vol. 47, no. 7, pp. 913–924, 2009. View at Publisher · View at Google Scholar
  34. W. Zhang, K. Wang, L. Wang, Z. Feng, and Y. Du, “Exploring factors affecting pedestrians' red-light running behaviors at intersections in China,” Accident Analysis & Prevention, vol. 96, pp. 71–78, 2016. View at Google Scholar
  35. A. Jensupakarn and K. Kanitpong, “Influences of motorcycle rider and driver characteristics and road environment on red light running behavior at signalized intersections,” Accident Analysis & Prevention, vol. 113, pp. 317–324, 2018. View at Publisher · View at Google Scholar · View at Scopus
  36. D. McFadden and K. Train, “Mixed MNL models for discrete response,” Journal of Applied Econometrics, vol. 15, no. 5, pp. 447–470, 2000. View at Publisher · View at Google Scholar · View at Scopus
  37. K. E. Train, Discrete Choice Methods with Simulation, Cambridge University Press, Cambridge, UK, 2003. View at Publisher · View at Google Scholar · View at MathSciNet
  38. D. Hensher, J. Rose, and W. Greene, Applied Choice Analysis: A Primer, Cambridge University Press, Cambridge, UK, 2005.
  39. C. R. Bhat, “Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences,” Transportation Research Part B: Methodological, vol. 37, no. 9, pp. 837–855, 2003. View at Publisher · View at Google Scholar · View at Scopus
  40. P. C. Anastasopoulos and F. L. Mannering, “A note on modeling vehicle accident frequencies with random-parameters count models,” Accident Analysis & Prevention, vol. 41, no. 1, pp. 153–159, 2009. View at Publisher · View at Google Scholar · View at Scopus
  41. P. C. Anastasopoulos and F. L. Mannering, “An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data,” Accident Analysis & Prevention, vol. 43, no. 3, pp. 1140–1147, 2011. View at Publisher · View at Google Scholar · View at Scopus
  42. A. DeMaris, J. Teachman, and S. P. Morgan, “Interpreting logistic regression results: a critical commentary,” Journal of Marriage and Family, vol. 52, no. 1, pp. 271–277, 1990. View at Google Scholar
  43. D. W. Roncek, “Using logit coefficients to obtain the effects of independent variables on changes in probabilities,” Social Forces, vol. 70, no. 2, pp. 509–518, 1991. View at Publisher · View at Google Scholar
  44. E. A. Hanushek and J. E. Jackson, Statistical Methods for Social Scientists, Academic Press, New York, NY, USA, 1977.
  45. R. Zhou, W. J. Horrey, and R. Yu, “The effect of conformity tendency on pedestrians' road-crossing intentions in China: an application of the theory of planned behavior,” Accident Analysis & Prevention, vol. 41, no. 3, pp. 491–497, 2009. View at Publisher · View at Google Scholar · View at Scopus
  46. K. Shaaban, D. Muley, and A. Mohammed, “Analysis of illegal pedestrian crossing behavior on a major divided arterial road,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 54, pp. 124–137, 2018. View at Publisher · View at Google Scholar
  47. C. Havard and A. Willis, “Effects of installing a marked crosswalk on road crossing behaviour and perceptions of the environment,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 15, no. 3, pp. 249–260, 2012. View at Publisher · View at Google Scholar · View at Scopus
  48. D. Yagil, “Beliefs, motives and situational factors related to pedestrians’ self-reported behavior at signal-controlled crossings,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 3, no. 1, pp. 1–13, 2000. View at Publisher · View at Google Scholar