Pedestrian Gap Acceptance Logit Model in Unsignalized Crosswalks Conflict Zone

Document Type : Research Paper


1 Assistant Professor, Department of Civil and Environmental Engineering, , Tarbiat Modares University, Tehran, Iran

2 M.Sc., Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran


Pedestrians are the most vulnerable road users. For evaluating and modifying pedestrian safety in unsignalized crosswalks,
the first important issue is to identify and explore factors affecting the interaction behavior of pedestrians and
vehicles in conflict areas. By analyzing those factors and determining how they affect road user's behavior, we can
represent the plans and procedures to promote awareness and safety of both pedestrians and drivers. The goal of this
article is to study pedestrian decision making behavior in unsignalized crosswalks and to determine factors affecting
the crossing behavior in conflict areas. The supposed goal of this study was assessing how each factor can influence
pedestrian-vehicle conflict behavior by means of developing logistic regression models. This work explores a variety
of factors that may impact the gap acceptance behavior of pedestrian to provide a promising decision model. Discrete
choice (probit) models of the gap acceptance decision are estimated from observations of pedestrians behavior when
crossing at conflict zone.
Analysis results show that variables like vehicle speed change (VSC), pedestrian distance to vehicle lane (PDV), pedestrian
age (PA) and vehicle position to the start point of pedestrian (Vp) are effective in Pedestrian gap Acceptance
(PGA). Modeling decision making behavior by logit models, resulted in neglected R Square of 0.882 and correct
classification of 94.9 pair wise cases. Area under ROC curve resulted in 0.98 that means the reliability of models is
extracted. The results also showed that some variables like vehicle type (VT), waiting time (WT), number of pedestrians
walking in a group (PN) and Gap or Lag are not effective in decision making logit models.


- Chan, M. (2013) "The Global status report on road safety 2013 presents information on road safety from 182 countries", WHO, WHO publications.
- Kadali, B. and Perumal, V. (2012) "pedestrian’s gap acceptance behavior at mid block location", IACSIT International Journal of Engineering and Technology, Vol. 4, No. 2.
- Kuan-min, C., Xiao-qiang, L., Hai, J. and Yang-dong, Z. (2010) "Towards the pedestrian delay estimation at intersections under vehicular platoon caused conflicts", Scientific Research and Essays, vol. 5, No. 9, pp. 941- 947.
- Li, X., Zhang, P., Qiao, D, Wong, S.C. and Choi, K. (2015) "A Potential based many-particle model for pedestrian flow", Information Technology and Mechatronics Engineering Conference (ITOEC 2015).
- Lobjois, R. and Cavallo, V. (2006) "Age-related differences in street crossing-desicions: The effects of vehicle speed and time constraints on gap selection in an estimation task", Accident Analysis Prevention, vol. 39, No. 5, pp. 934-943.
- Oxley, J, Fildes, B., Ihsen, E., Charlton, J. and Days, R. (2005) "Crossing roads safely: An experimental study of age differences in gap selection by pedestrians", Accident Analysis and Prevention, vol. 37, pp. 962-971.
- Palamarthy, S., Mahmassani, H. S. and Machemehl, R. B. (1994) "Models of pedestrian crossing behavior at signalized intersections", Federal Highway Administration.
- Peng, C. Y., So, T. S., Stage, F. K. and St. John, E. P. (2002) "The use and interpretation of logistic regression in higher education journals: 1988–1999", Research in Higher Education, vol. 43, pp. 259–293.
- Peng, C. Y. and So, T. S. H. (2002) "Modeling strategies in logistic regression", Journal of Modern Applied Statistical Methods, vol. 14, pp. 147–156.
- Ross, D. (2013) “International transport forum”, Road Safety Annual Report, IRTAD.
- Samiee, S., Azadi, S., Kazemi, R. and Eichberger, A. (2016) “towards a decision-making algorithm for automatic lane change manoeuvre considering traffic dynamics”, PROMET-Traffic&Transportation, 28(2), 91-103.
- Sivak, M. and Scheottle, B. (2014) "Morality from road crashes in 193 countries: a comparison with other leading causes of death", the university of michigan, transportation research institute.
- Tabachnick, B. G. and Fidell, L. S. (2001) "Using multivariate statistics", 4th ed., Needham Heights, MA: Allyn and Bacon.
- Tanariboon, Y. and Guyano, J. (2010) "Analysis of pedestrian movements in Bangkok", Transportation Research Board, pp. 52-56.  
- Várhelyi, A. (1996) "Dynamic speed adaptation based on information technology – a theoretical background", Bulletin, Sweden: Traffic Planning and Engineering.
- Yannis, G. (2010) "Pedestrian gap acceptance for midblock street crossing", in 12th WCTR, lisbon, Portugal.
- Zeng, W., Chen, P., Nakamura, H. and Asano, M. (2013) "modeling pedestrian trajectory for safety assessment at signalized crosswalks", Proceedings of the Eastern Asia Society for Transportation Studies, vol. 9.
- Zhao, Y. (2012) "Guidelines for marked and unmarked pedestrian crosswalks at unsignalized intersections" , in ITE Western District Annual Conference, Santa Barbara. California.