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Pedestrian Conflict Yielding Behaviour at Uncontrolled T-Intersections: A Multinomial Logistic Regression Approach

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Abstract

An uncontrolled intersection increases the possibility of road user disputes between pedestrians and vehicles crossing the road concurrently. Conflicts would erupt if their motions stayed unchanged. When there is a dispute, pedestrians or drivers will change their activities to avoid an accident, which is known as the conflict yielding Behaviour of pedestrians or drivers. Pedestrians’ conflict yielding attitudes significantly impact traffic safety at intersection crossings. This research investigates the factors that influence pedestrians’ conflict yielding Behaviour at uncontrolled T-intersections. These factors may be classified into two categories: vehicle characteristics and pedestrian characteristics. A multinomial logistic regression was performed on the pedestrian conflict yielding Behaviour data concerning various influencing factors to check out the most significant factors. Five out of eight criteria affect pedestrian conflict yielding behaviour viz; conflicting vehicle, the distance between conflicting vehicles and crossing pedestrians, vehicles’ conflicting Behaviour, the number of crossing pedestrians in a single time frame, and pedestrian age. The findings also demonstrated that pedestrian conflict yielding Behaviour is characterized by waiting, decelerating, and maintaining a constant pace. Acceleration and path-changing Behaviours are quite unusual. The findings imply that if the distance between the conflicting vehicle and the conflicting pedestrian is large or medium, pedestrians choose to maintain or accelerate their speed rather than wait. When the distance is short, however, pedestrians choose to wait.

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References

  1. B.R. Kadali, P. Vedagiri, Effect of vehicular lanes on pedestrian gap acceptance behaviour. Procedia Soc. Behav. Sci. 104, 678–687 (2013). https://doi.org/10.1016/j.sbspro.2013.11.162

    Article  Google Scholar 

  2. B.R. Kadali, P. Vedagiri, Modelling pedestrian road crossing behaviour under mixed traffic condition. Eur. Transp. Trasp. Eur. 55(3), 1–7 (2013)

    Google Scholar 

  3. D.S. Pawar, G.R. Patil, Pedestrian temporal and spatial gap acceptance at mid-block street crossing in developing world. J. Safety Res. 52, 39–46 (2015). https://doi.org/10.1016/j.jsr.2014.12.006

    Article  Google Scholar 

  4. M.S. Serag, Modelling pedestrian road crossing at uncontrolled mid-block locations in developing countries. Int. J. Civ. Struct. Eng. 4, 274–285 (2014). https://doi.org/10.6088/ijcser.201304010027

    Article  Google Scholar 

  5. K. Suzuki, H. Ito, Empirical analysis on risky behaviours and pedestrian-vehicle conflicts at large-size signalized intersections. Transp. Res. Procedia 25, 2139–2152 (2017). https://doi.org/10.1016/j.trpro.2017.05.411

    Article  Google Scholar 

  6. E. Papadimitriou, S. Lassarre, G. Yannis, Pedestrian risk taking while road crossing: a comparison of observed and declared behaviour. Transp. Res. Procedia. 14, 4354–4363 (2016). https://doi.org/10.1016/j.trpro.2016.05.357

    Article  Google Scholar 

  7. T. Ding, S. Wang, J. Xi et al., Psychology-based research on unsafe behaviour by pedestrians when crossing the street. Adv. Mech. Eng. (2015). https://doi.org/10.1155/2014/203867

    Article  Google Scholar 

  8. Zheng Y, Analysis of factors influencing pedestrian injury severity in pedestrian-vehicle crashes. in T&DI congress 2014: planes, trains, and automobiles, pp. 448–457. (2014). https://doi.org/10.1061/9780784413586.043

  9. V. Cantillo, J. Arellana, M. Rolong, Modelling pedestrian crossing behaviour in urban roads: a latent variable approach. Transp. Res. Part F Traffic Psychol. Behav. 32, 56–67 (2015). https://doi.org/10.1016/j.trf.2015.04.008

    Article  Google Scholar 

  10. R. Almodfer, S. Xiong, X. Kong, P. Duan, Pedestrian crossing speed patterns and running frequency analysis at a non-signalized marked crosswalk: quantitative and qualitative approaches. Sustain. Cities Soc. 34, 183–192 (2017). https://doi.org/10.1016/j.scs.2017.07.003

    Article  Google Scholar 

  11. J. Shi, Y. Chen, F. Ren, J. Rong, Research on pedestrian behaviour and traffic characteristics at unsignalized midblock crosswalk: case study in Beijing. Transp. Res. Rec. (2007). https://doi.org/10.3141/2038-04

    Article  Google Scholar 

  12. W.K.M. Alhajyaseen, M. Iryo-Asano, Studying critical pedestrian behavioural changes for the safety assessment at signalized crosswalks. Saf Sci 91, 351–360 (2017). https://doi.org/10.1016/j.ssci.2016.09.002

    Article  Google Scholar 

  13. N.N. Ferenchak, Pedestrian age and gender in relation to crossing behaviour at midblock crossings in India. J. Traffic Transp. Eng. 3, 345–351 (2016). https://doi.org/10.1016/j.jtte.2015.12.001

    Article  Google Scholar 

  14. F. Lange, M. Haiduk, M. Boos et al., Road crossing behaviour under traffic light conflict: modulating effects of green light duration and signal congruency. Accid. Anal. Prev. 95, 292–298 (2016). https://doi.org/10.1016/j.aap.2016.07.023

    Article  Google Scholar 

  15. W.J. Wu, Z.Z. Wang, F.W. Ma, Simulation analysis of evolutionary game of pedestrians’ group behaviours under influence of herd behaviour: in case of crossing behaviour. J. Jilin. Univ. 47, 92–96 (2017)

    Google Scholar 

  16. A. Kumar, M. Paul, I. Ghosh, Analysis of pedestrian conflict with right-turning vehicles at signalized intersections in India. J. Transp. Eng. Part A Syst. 145, 1–12 (2019). https://doi.org/10.1061/jtepbs.0000239

    Article  Google Scholar 

  17. A.R. Chaudhari, N. Gore, S. Arkatkar et al., Deriving pedestrian risk index by vehicle type and road geometry at midblock crosswalks under heterogeneous traffic conditions. J. Transp. Eng. Part A Syst. (2020). https://doi.org/10.1061/jtepbs.0000421

    Article  Google Scholar 

  18. K. Bradbury, J. Stevens, L. Boyle, S. Rutherford, To go or not to go. Transp. Res. Rec. (2012). https://doi.org/10.3141/2299-19

    Article  Google Scholar 

  19. K. Lipovac, M. Vujanic, B. Maric, M. Nesic, Pedestrian behaviour at signalized pedestrian crossings. J. Transp. Eng. 139, 165–172 (2013). https://doi.org/10.1061/(ASCE)TE.1943-5436.0000491

    Article  Google Scholar 

  20. J. Montufar, J. Arango, M. Porter, S. Nakagawa, Pedestrians’ normal walking speed and speed when crossing a street. Transp. Res. Rec. J. Transp. Res. Board. 2002, 90–97 (2007). https://doi.org/10.3141/2002-12

    Article  Google Scholar 

  21. B.J. Russo, E. James, C.Y. Aguilar, E.J. Smaglik, Pedestrian behaviour at signalized intersection crosswalks: observational study of factors associated with distracted walking, pedestrian violations, and walking speed. Transp. Res. Rec. 2672, 1–12 (2018). https://doi.org/10.1177/0361198118759949

    Article  Google Scholar 

  22. J.T. Siques, Effects of pedestrian treatments on risky pedestrian behaviour. Transp. Res. Rec. (2002). https://doi.org/10.3141/1793-09

    Article  Google Scholar 

  23. M.N. Yuting Yang, (2015) Study on the risk ratio of pedestrians’ crossing at unsignalized crosswalk. Asce CICTP 2001, 1016–1027 (2015)

    Google Scholar 

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  1. Department of Civil Engineering, National Institute of Technology, Hazratbal, Srinagar, 190006, India

    Mudasir Ahmad Dar, Tazim Ameen & Abdullah Ahmad

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  1. Mudasir Ahmad Dar
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  2. Tazim Ameen
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  3. Abdullah Ahmad
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Correspondence to Abdullah Ahmad.

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Dar, M.A., Ameen, T. & Ahmad, A. Pedestrian Conflict Yielding Behaviour at Uncontrolled T-Intersections: A Multinomial Logistic Regression Approach. J. Inst. Eng. India Ser. A 104, 763–777 (2023). https://doi.org/10.1007/s40030-023-00741-w

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