How to Increase Urban Road Safety: An Integrated Model for Predicting Pedestrian Behaviour Based on Psychological and External Factors
DOI:
https://doi.org/10.7250/bjrbe.2026-21.672Keywords:
external factors, integrated model, pedestrians, prototype willingness model, signalized intersections, temporal violations, theory of planned behaviourAbstract
The study investigates the factors influencing pedestrian decisions to commit temporal violations at signalized intersections, with the aim of enhancing urban road safety. To achieve this, an integrated model combining subjective components from the Theory of Planned Behaviour (TPB) and the Prototype Willingness Model (PWM) with relevant external factors was developed and validated. The findings underscore the significance of external factors – such as pedestrian red signal duration, vehicle flow, roadway length, and the presence of a median refuge island – alongside willingness and perceived behavioural control as key predictors of pedestrian behaviour. Intentions, in contrast, showed limited influence, highlighting the dominance of social-reactive pathways over reasoned decision-making in pedestrian violations. The study contributes a novel, comprehensive framework for understanding pedestrian behaviour by integrating psychological and situational predictors, thereby providing valuable insights for the design of safer urban intersections.
References
Afshari, A., Ayati, E., & Barakchi, M. (2021). Evaluating the effects of external factors on pedestrian violations at signalized intersections (a case study of Mashhad, Iran). IATSS Research, 45(2), 234–240. https://doi.org/10.1016/j.iatssr.2020.10.004 DOI: https://doi.org/10.1016/j.iatssr.2020.10.004
Ajzen, I. (1985). From intentions to actions: A theory of planned behaviour. In J. Kuhl, & J. Beckmann (Eds), Action control (pp. 11–39). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2 DOI: https://doi.org/10.1007/978-3-642-69746-3_2
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T DOI: https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26(9), 1113–1127. https://doi.org/10.1080/08870446.2011.613995 DOI: https://doi.org/10.1080/08870446.2011.613995
Barton, B. K., Kologi, S. M., & Siron, A. (2016). Distracted pedestrians in crosswalks: An application of the Theory of Planned Behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 37, 129–137. https://doi.org/10.1016/j.trf.2015.12.012 DOI: https://doi.org/10.1016/j.trf.2015.12.012
Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge. https://doi.org/10.4324/9781315757421 DOI: https://doi.org/10.4324/9781315757421
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238 DOI: https://doi.org/10.1037//0033-2909.107.2.238
Biswas, S., Ghosh, I., & Chandra, S. (2017). Effect of traffic signal countdown timers on pedestrian crossings at signalized intersection. Transportation in Developing Economies, 3, Article 2. https://doi.org/10.1007/s40890-016-0032-7 DOI: https://doi.org/10.1007/s40890-016-0032-7
Brosseau, M., Zangenehpour, S., Saunier, N., & Miranda-Moreno, L. (2013). The impact of waiting time and other factors on dangerous pedestrian crossings and violations at signalized intersections: a case study in Montreal. Transp. Res. Part F: Traffic Psychol. Behav., 21, 159–172. https://doi.org/10.1016/j.trf.2013.09.010 DOI: https://doi.org/10.1016/j.trf.2013.09.010
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing Structural Equation Models (pp. 136–162). Sage.
Cao, Y., Ni, Y., & Li, K. (2016). Effects of refuge island settings on pedestrian safety perception and signal violation at signalized intersections. 96th Annual Meeting of Transportation Research Board. https://www.researchgate.net/
publication/317411298_Effects_of_Refuge_Island_Settings_on_Pedestrian_Safety_ Perception_and_Signal_Violation_at_Signalized_Intersections
Chen, S., Xing, J., & Cao, Y. (2017). The impact of waiting time on pedestrian violations at signalized intersections. Civil Engineering and Urban Planning: An International Journal (CiVEJ), 4(2), 1–13. https://doi.org/10.5121/civej.2017.4201 DOI: https://doi.org/10.5121/civej.2017.4201
de Lavalette, B. C., Tijus, C., Poitrenaud, S., Leproux, C., Bergeron, J., & Thouez, J. P. (2009). Pedestrian crossing decision-making: A situational and behavioural approach. Safety Science, 47(9), 1248–1253. https://doi.org/10.1016/j.ssci.2009.03.016 DOI: https://doi.org/10.1016/j.ssci.2009.03.016
Demir, B., Özkan, T., & Demir, S. (2019). Pedestrian violations: reasoned or social reactive? Comparing theory of planned behaviour and prototype willingness model. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 560–572. https://doi.org/10.1016/j.trf.2018.11.012 DOI: https://doi.org/10.1016/j.trf.2018.11.012
Dıaz, E. M. (2002). Theory of planned behaviour and pedestrians’ intentions to violate traffic regulations. Transportation Research Part F: Traffic Psychology and Behaviour, 5(3), 169–175. https://doi.org/10.1016/S1369-8478(02)00015-3 DOI: https://doi.org/10.1016/S1369-8478(02)00015-3
Diependaele, K. (2019). Non-compliance with pedestrian traffic lights in Belgian cities. Transportation Research Part F: Traffic Psychology and Behaviour, 67, 230–241. https://doi.org/10.1016/j.trf.2016.11.017 DOI: https://doi.org/10.1016/j.trf.2016.11.017
Dommes, A., Granié, M. A., Cloutier, M. S., Coquelet, C., & Huguenin-Richard, F. (2015). Red light violations by adult pedestrians and other safety-related behaviours at signalized crosswalks. Accident Analysis & Prevention, 80, 67–75. https://doi.org/10.1016/j.aap.2015.04.002 DOI: https://doi.org/10.1016/j.aap.2015.04.002
Esmaeli, S., Aghabayk, K., & Bates, L. (2022). Willingness and intention to run a red light among motorcyclists. Journal of Safety Research, 83, 66–78. https://doi.org/10.1016/j.jsr.2022.08.005 DOI: https://doi.org/10.1016/j.jsr.2022.08.005
Evans, D., & Norman, P. (1998). Understanding pedestrians’ road crossing decisions: an application of the theory of planned behaviour. Health Education Research, 13(4), 481–489. https://doi.org/10.1093/her/13.4.481-a DOI: https://doi.org/10.1093/her/13.4.481-a
Evans, D., & Norman, P. (2003). Predicting adolescent pedestrians’ road-crossing intentions: an application and extension of the Theory of Planned Behaviour. Health Education Research, 18(3), 267–277. https://doi.org/10.1093/her/cyf023 DOI: https://doi.org/10.1093/her/cyf023
Elliott, M. A., McCartan, R., Brewster, S. E., Coyle, D., Emerson, L., & Gibson, K. (2017). An application of the prototype willingness model to drivers’ speeding behaviour. European Journal of Social Psychology, 47(6), 735–747. https://doi.org/10.1002/ejsp.2268 DOI: https://doi.org/10.1002/ejsp.2268
Frater, J., Kuijer, R., & Kingham, S. (2017). Why adolescents don’t bicycle to school: Does the prototype/willingness model augment the theory of planned behaviour to explain intentions? Transportation Research Part F: Traffic Psychology and Behaviour, 46, 250–259. https://doi.org/10.1016/j.trf.2017.03.005 DOI: https://doi.org/10.1016/j.trf.2017.03.005
Geruschat, D. R., Hassan, S. E., & Turano, K. A. (2003). Gaze behaviour while crossing complex intersections. Optometry and Vision Science, 80(7), 515–528. https://doi.org/10.1097/00006324-200307000-00013 DOI: https://doi.org/10.1097/00006324-200307000-00013
Gibbons, F. X., Gerrard, M., Blanton, H., & Russell, D. W. (1998). Reasoned action and social reaction: willingness and intention as independent predictors of health risk. Journal of Personality and Social Psychology, 74(5), 1164–1180. https://doi.org/10.1037/0022-3514.74.5.1164 DOI: https://doi.org/10.1037/0022-3514.74.5.1164
Gibbons, F. X., Stock, M. L., & Gerrard, M. (2020). The prototype-willingness model. In K. Sweeny, M. L. Robbins, & M. Gerrard (Eds.), The Wiley Encyclopedia of Health Psychology (pp. 517–527). https://doi.org/10.1002/9781119057840.ch102 DOI: https://doi.org/10.1002/9781119057840.ch102
Ghomi, H., & Hussein, M. (2021). An integrated clustering and copula-based model to assess the impact of intersection characteristics on violation-related collisions. Accident Analysis & Prevention, 159, Article 106283. https://doi.org/10.1016/j.aap.2021.106283 DOI: https://doi.org/10.1016/j.aap.2021.106283
Ghomi, H., & Hussein, M. (2022). An integrated text mining, literature review, and meta-analysis approach to investigate pedestrian violation behaviours. Accident Analysis & Prevention, 173, Article 106712. https://doi.org/10.1016/j.aap.2022.106712 DOI: https://doi.org/10.1016/j.aap.2022.106712
Gong, Q., Xiao, L., & Xu, M. (2019). Pedestrian violations crossing behaviour at signal intersections: A case study in Anning District of Lanzhou. IOP Conference Series: Materials Science and Engineering, 688(4), Article 044006. https://doi.org/10.1088/1757-899X/688/4/044006 DOI: https://doi.org/10.1088/1757-899X/688/4/044006
Guo, H., Gao, Z., Yang, X., & Jiang, X. (2011). Modeling pedestrian violation behaviour at signalized crosswalks in China: A hazards-based duration approach. Traffic Injury Prevention, 12(1), 96–103. https://doi.org/10.1080/15389588.2010.518652 DOI: https://doi.org/10.1080/15389588.2010.518652
Guo, H., Wang, W., Guo, W., Jiang, X., & Bubb, H. (2012). Reliability analysis of pedestrian safety crossing in urban traffic environment. Safety Science, 50(4), 968–973. https://doi.org/10.1016/j.ssci.2011.12.027 DOI: https://doi.org/10.1016/j.ssci.2011.12.027
Guo, Y., Wang, X., Meng, X., Wang, J., & Liu, Y. (2019). Analysis of red-light violation behaviour of pedestrian two-stage crossing at a signalized intersection. Civil Engineering Journal, 5(2), 429–436. https://doi.org/10.28991/cej-2019-03091257 DOI: https://doi.org/10.28991/cej-2019-03091257
Hair, J. F., Black, W. C., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (5th ed.). Prentice Hall.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Holland, C., & Hill, R. (2007). The effect of age, gender and driver status on pedestrians’ intentions to cross the road in risky situations. Accident Analysis & Prevention, 39(2), 224–237. https://doi.org/10.1016/j.aap.2006.07.003 DOI: https://doi.org/10.1016/j.aap.2006.07.003
King, M. J., Soole, D., & Ghafourian, A. (2009). Illegal pedestrian crossing at signalised intersections: incidence and relative risk. Accident Analysis & Prevention, 41(3), 485–490. https://doi.org/10.1016/j.aap.2009.01.008 DOI: https://doi.org/10.1016/j.aap.2009.01.008
Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Press.
Kumar, A., & Ghosh, I. (2022). Non-compliance behaviour of pedestrians and the associated conflicts at signalized intersections in India. Safety Science, 147, Article 105604. https://doi.org/10.1016/j.ssci.2021.105604 DOI: https://doi.org/10.1016/j.ssci.2021.105604
Koh, P. P., Wong, Y. D., & Chandrasekar, P. (2014). Safety evaluation of pedestrian behaviour and violations at signalised pedestrian crossings. Safety Science, 70, 143–152. https://doi.org/10.1016/j.ssci.2014.05.010 DOI: https://doi.org/10.1016/j.ssci.2014.05.010
Lee, C. J., Geiger-Brown, J., & Beck, K. H. (2016). Intentions and willingness to drive while drowsy among university students: An application of an extended theory of planned behaviour model. Accident Analysis & Prevention, 93, 113–123. https://doi.org/10.1016/j.aap.2016.05.002 DOI: https://doi.org/10.1016/j.aap.2016.05.002
Li, Y., & Fernie, G. (2010). Pedestrian behaviour and safety on a two-stage crossing with a center refuge island and the effect of winter weather on pedestrian compliance rate. Accident Analysis & Prevention, 42(4), 1156–1163. https://doi.org/10.1016/j.aap.2010.01.004 DOI: https://doi.org/10.1016/j.aap.2010.01.004
Lipovac, K., Vujanic, M., Maric, B., & Nesic, M. (2013). Pedestrian behaviour at signalized pedestrian crossings. Journal of Transportation Engineering, 139(2), 165–172. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000491 DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000491
Liu, Y., Alsaleh, R., & Sayed, T. (2022). Modeling pedestrian temporal violations at signalized crosswalks: A random Intercept parametric survival model. Transportation Research Record, 2676(6), 707–720. https://doi.org/10.1177/03611981221076119 DOI: https://doi.org/10.1177/03611981221076119
Liu, J., Li, C., & Hu, S. (2023). Analysis of pedestrian violations based on an integrative model: evidence from college students in China. Journal of Transport & Health, 28, Article 101560. https://doi.org/10.1016/j.jth.2022.101560 DOI: https://doi.org/10.1016/j.jth.2022.101560
Liu, J., Chen, X., & Pei, M. (2023). Analyzing the cycling behaviours of Chinese adolescents through structural equation models. Journal of Transport & Health, 28, Article 101566. https://doi.org/10.1016/j.jth.2023.101566 DOI: https://doi.org/10.1016/j.jth.2023.101566
Liu, J., & Liu, L. (2024). Child restraint system use in China, comparing theory of planned behaviour, prototype willingness model, and integrative model. Journal of Transport & Health, 34, Article 101741. https://doi.org/10.1016/j.jth.2023.101741 DOI: https://doi.org/10.1016/j.jth.2023.101741
Ma, Y., Lu, S., & Zhang, Y. (2020). Analysis on illegal crossing behaviour of pedestrians at signalized intersections based on Bayesian network. Journal of Advanced Transportation, 2020(1), Article 2675197. https://doi.org/10.1155/2020/2675197 DOI: https://doi.org/10.1155/2020/2675197
Marić, B., Lipovac, K., Nešić, M., & Đerić, M. (2021). The influence of a countdown display on pedestrian behaviour at a signalized pedestrian crossing equipped with a pedestrian refuge island. Transportation Research Procedia, 55, 1720–1728. https://doi.org/10.1016/j.trpro.2021.07.164 DOI: https://doi.org/10.1016/j.trpro.2021.07.164
Mirzaie Alavijeh, M., Hamzeh, B., Piroozeh, R., & Jalilian, F. (2019). Psychometric evaluation of the safe road-crossing behaviours scale: a study among Iranian university students. Trauma Monthly, 24(6), 18–23.
Mukherjee, D., & Mitra, S. (2019). A comparative study of safe and unsafe signalized intersections from the view point of pedestrian behaviour and perception. Accid. Anal. Prev., 132, Article 105218. https://doi.org/10.1016/j.aap.2019.06.010 DOI: https://doi.org/10.1016/j.aap.2019.06.010
Mukherjee, D., & Mitra, S. (2020). A comprehensive study on factors influencing pedestrian signal violation behaviour: experience from Kolkata City, India. Safety Sci., 124, Article 104610. https://doi.org/10.1016/j.ssci.2020.104610 DOI: https://doi.org/10.1016/j.ssci.2020.104610
Pei, M., Hu, Y., & Zhong, L. (2023). Applying an extended prototype willingness model to predict back seat safety belt use in China. Electronic Research Archive, 31(2), 961–984. https://doi.org/10.3934/era.2023048 DOI: https://doi.org/10.3934/era.2023048
Raoniar, R., Maqbool, S., Pathak, A., Chugh, M., & Maurya, A. K. (2022). Hazard-based duration approach for understanding pedestrian crossing risk exposure at signalised intersection crosswalks – A case study of Kolkata, India. Transportation Research Part F: Traffic Psychology and Behaviour, 85, 47–68. https://doi.org/10.1016/j.trf.2021.12.015 DOI: https://doi.org/10.1016/j.trf.2021.12.015
Ren, G., Zhou, Z., Wang, W., Zhang, Y., & Wang, W. (2011). Crossing behaviours of pedestrians at signalized intersections: observational study and survey in China. Transportation Research Record, 2264(1), 65–73. https://doi.org/10.3141/2264-08 DOI: https://doi.org/10.3141/2264-08
Ristić, B., Bogdanović, V., Stević, Ž., Marinković, D., Papić, Z., & Gojković, P. (2024). Evaluation of pedestrian crossings based on the concept of pedestrian behaviour regarding start-up time: Integrated fuzzy MCDM model. Technical Gazette, 31(4), 1206–1214. https://doi.org/10.17559/TV-20240414001462 DOI: https://doi.org/10.17559/TV-20240414001462
Shen, X., Zhang, F., Lv, H., Wei, S., & Sun, Z. (2020). The application and extension of the theory of planned behaviour to an analysis of delivery riders’ red-light running behaviour in China. Accident Analysis & Prevention, 144, Article 105640. https://doi.org/10.1016/j.aap.2020.105640 DOI: https://doi.org/10.1016/j.aap.2020.105640
Shinar, D. (Ed.). (2017). Traffic safety and human behaviour. Emerald Group Publishing. https://doi.org/10.1108/9781786352217 DOI: https://doi.org/10.1108/9781786352217
Tang, T., Wang, H., Zhou, X., & Gong, H. (2020). Understanding electric bikers’ red-light running behaviour: Predictive utility of theory of planned behaviour vs prototype willingness model. Journal of Advanced Transportation. https://doi.org/10.1155/2020/7097302 DOI: https://doi.org/10.1155/2020/7097302
Tiwari, G., Bangdiwala, S., Saraswat, A., & Gaurav, S. (2007). Survival analysis: Pedestrian risk exposure at signalized intersections. Transportation Research Part F: Traffic Psychology and Behaviour, 10(2), 77–89. https://doi.org/10.1016/j.trf.2006.06.002 DOI: https://doi.org/10.1016/j.trf.2006.06.002
Wang, J., & Wang, X. (2019). Structural equation modeling: Applications using Mplus. John Wiley & Sons. https://doi.org/10.1002/9781119422730 DOI: https://doi.org/10.1002/9781119422730
Wang, H., Su, F., & Schwebel, D. C. (2023). Mobile phone use while cycling among e-bikers in China: reasoned or social reactive? Journal of Safety Research, 85, 8–14. https://doi.org/10.1016/j.jsr.2023.01.002 DOI: https://doi.org/10.1016/j.jsr.2023.01.002
Wang, J., Huang, H., Xu, P., Xie, S., & Wong, S. C. (2020). Random parameter probit models to analyze pedestrian red-light violations and injury severity in pedestrian-motor vehicle crashes at signalized crossings. Journal of Transportation Safety & Security, 12(6), 818–837. https://doi.org/10.1080/19439962.2018.1551257 DOI: https://doi.org/10.1080/19439962.2018.1551257
Wang, X., & Xu, L. (2021). Factors influencing young drivers’ willingness to engage in risky driving behaviour: continuous lane-changing. Sustainability, 13(11), Article 6459. https://doi.org/10.3390/su13116459 DOI: https://doi.org/10.3390/su13116459
WHO. (2023). Global status report on road safety, World Health Organization. https://www.who.int/publications/i/item/9789240086517
Wu, Y., Guo, Y., & Yin, W. (2021). Real time safety model for pedestrian red-light running at signalized intersections in China. Sustainability, 13(4), Article 1695. https://doi.org/10.3390/su13041695 DOI: https://doi.org/10.3390/su13041695
Xiao, Y., Liu, Y., & Liang, Z. (2021). Study on road-crossing violations among young pedestrians based on the theory of planned behaviour. Journal of Advanced Transportation, 2021(1). https://doi.org/10.1155/2021/6893816 DOI: https://doi.org/10.1155/2021/6893816
Xu, Y., Li, Y., & Zhang, F. (2013). Pedestrians’ intention to jaywalk: Automatic or planned? A study based on a dual-process model in China. Accident Analysis & Prevention, 50, 811–819. https://doi.org/10.1016/j.aap.2012.07.007 DOI: https://doi.org/10.1016/j.aap.2012.07.007
Yagil, D. (2000). Beliefs, motives and situational factors related to pedestrians’ self-reported behaviour at signal-controlled crossings. Transportation Research Part F: Traffic Psychology and Behaviour, 3(1), 1–13. https://doi.org/10.1016/S1369-8478(00)00004-8 DOI: https://doi.org/10.1016/S1369-8478(00)00004-8
Yang, X., Abdel-Aty, M., Huan, M., Peng, Y., & Gao, Z. (2015). An accelerated failure time model for investigating pedestrian crossing behaviour and waiting times at signalized intersections. Accident Analysis & Prevention, 82, 154–162. https://doi.org/10.1016/j.aap.2015.04.036 DOI: https://doi.org/10.1016/j.aap.2015.04.036
Yang, Y., & Sun, J. (2013). Study on pedestrian red-time crossing behaviour: integrated field observation and questionnaire data. Transportation Research Record, 2393(1), 117–124. https://doi.org/10.3141/2393-13 DOI: https://doi.org/10.3141/2393-13
Zhao, S., Chen, X., Liu, J., & Liu, W. (2023). Adolescent aggressive riding behaviour: an application of the theory of planned behaviour and the prototype willingness model. Behavioural Sciences, 13(4), Article 309. https://doi.org/10.3390/bs13040309 DOI: https://doi.org/10.3390/bs13040309
Zhang, G., Tan, Y., & Jou, R. C. (2016). Factors influencing traffic signal violations by car drivers, cyclists, and pedestrians: A case study from Guangdong, China. Transportation Research Part F: Traffic Psychology and Behaviour, 42, 205–216. https://doi.org/10.1016/j.trf.2016.08.001 DOI: https://doi.org/10.1016/j.trf.2016.08.001
Zhang, Y., & Deng, Y. (2019). Analysis of pedestrians’ red-light violation behaviour at signalized intersections. 2019 5th International Conference on Transportation Information and Safety (ICTIS), Liverpool, UK, 452–457. https://doi.org/10.1109/ICTIS.2019.8883779 DOI: https://doi.org/10.1109/ICTIS.2019.8883779
Zhou, R., Horrey, W. J., & Yu, R. (2009). The effect of conformity tendency on pedestrians’ road-crossing intentions in China: An application of the theory of planned behaviour. Accident Analysis & Prevention, 41(3), 491–497. https://doi.org/10.1016/j.aap.2009.01.007 DOI: https://doi.org/10.1016/j.aap.2009.01.007
Zhou, R., & Horrey, W. J. (2010). Predicting adolescent pedestrians’ behavioural intentions to follow the masses in risky crossing situations. Transportation Research Part F: Traffic Psychology and Behaviour, 13(3), 153–163. https://doi.org/10.1016/j.trf.2009.12.001 DOI: https://doi.org/10.1016/j.trf.2009.12.001
Zhou, H., Romero, S. B., & Qin, X. (2016). An extension of the theory of planned behaviour to predict pedestrians’ violating crossing behaviour using structural equation modeling. Accident Analysis & Prevention, 95, 417–424. https://doi.org/10.1016/j.aap.2015.09.009 DOI: https://doi.org/10.1016/j.aap.2015.09.009
Zhu, D., Sze, N. N., & Bai, L. (2021). Roles of personal and environmental factors in the red-light running propensity of pedestrian: Case study at the urban crosswalks. Transportation Research Part F: Traffic Psychology and Behaviour, 76, 47–58. https://doi.org/10.1016/j.trf.2020.11.001 DOI: https://doi.org/10.1016/j.trf.2020.11.001
Zhu, D., Sze, N. N., & Feng, Z. (2021). The trade-off between safety and time in the red-light running behaviours of pedestrians: A random regret minimization approach. Accident Analysis & Prevention, 158, Article 106214. https://doi.org/10.1016/j.aap.2021.106214 DOI: https://doi.org/10.1016/j.aap.2021.106214
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