Pedestrian Spatial Violation Analyses for Urban Roadways
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 11
Abstract
This study presents an investigation regarding the critical contributing factors in pedestrian spatial violations based on field observation of 15,090 samples at 14 roadway segments in Shanghai, China. A violation prediction model was applied to predict the impacts of roadway geometry design and traffic on the number of violations, and a real-time pedestrian violation prediction model was used to predict whether a pedestrian would spatially violate. For the violation prediction model, a Bayesian Poisson-lognormal model was used, and for the real-time pedestrian violation prediction model, a Bayesian logistic regression model was adopted. Then, random forest was employed to rank the importance of factors that are significant in violation prediction. The results showed that the presence of median, land use type, and number of lanes are the most significant variables in spatial violation. The findings of this study can provide a basis for traffic practitioners, researchers, and authorities to analyze the reasons for pedestrians’ spatial violations and develop guidelines for crossings design.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This study was supported by the National Key Research and Development Program of China (2018YFB1601000).
References
Abaza, O. A., M. Arafat, and T. D. Chowdhury. 2018. “Study on pedestrian road crossing compliance at high pedestrian crash locations of Anchorage, Alaska.” In Proc., Int. Conf. on Transportation and Development 2018, 19–29. Pittsburgh: Planning, Sustainability, and Infrastructure Systems. https://doi.org/10.1061/9780784481561.003.
Alhajyaseen, W. K., M. Asano, and H. Nakamura. 2013. “Left-turn gap acceptance models considering pedestrian movement characteristics.” Accid. Anal. Prev. 50 (Jan): 175–185. https://doi.org/10.1016/j.aap.2012.04.006.
Blecic, I., A. Cecchini, T. Congiu, M. Pazzola, and G. A. Trunfio. 2013. “A design and planning support system for walkability and pedestrian accessibility.” In Proc., Int. Conf. on Computational Science and Its Applications, 284–293. Berlin: Springer.
Boltes, M., S. Holl, A. Tordeux, A. Seyfried, A. Schadschneider, and U. Lang. 2016. “Influences of extraction techniques on the quality of measured quantities of pedestrian characteristics.” In Proc., the 8th Int. Conf. on Pedestrian and Evacuation Dynamics 2016, 500–547. Hefei, China: Pedestrian and Evacuation Dynamics.
Cao, Y., Y. Ni, and K. Li. 2017. “Simulating pedestrian signal violation at signalized intersections with pedestrian two-stage crossing.” In Proc. 96th Annual Meeting, Washington, DC: Transportation Research Board.
Fitzpatrick, K., S. Turner, and M. A. Brewer. 2007. Improving pedestrian safety at unsignalized intersections. Washington, DC: Transportation Research Board.
Hannah, C., I. Spasic, and P. Corcoran. 2018. “Modelling pedestrian safety with respect to road traffic crashes by estimating the safety of paths. Leicester, UK: Geographical Information Science Research.
Highway Capacity Manual. 2010. Transportation research board. Washington, DC: Transportation Research Board.
Huo, F., W. Song, L. Chen, C. Liu, and K. M. Liew. 2016. “Experimental study on characteristics of pedestrian evacuation on stairs in a high-rise building.” Saf. Sci. 86 (Jul): 165–173. https://doi.org/10.1016/j.ssci.2016.02.025.
Jian, L. 2002. “Reasonable distance of pedestrian crossing facilities.” J. Traffic Transp. Eng. 2 (4): 63–67.
Kadali, B. R., N. Rathi, and V. Perumal. 2014. “Evaluation of pedestrian mid-block road crossing behaviour using artificial neural network.” J. Traffic Transp. Eng. 1 (2): 111–119. https://doi.org/10.1016/S2095-7564(15)30095-7.
Kalantarov, S., R. Riemer, and T. Oron-Gilad. 2018. “Pedestrians’ road crossing decisions and body parts’ movements.” Transp. Res. Part F: Traffic Psychol. Behav. 53 (Feb): 155–171. https://doi.org/10.1016/j.trf.2017.09.012.
Kaparias, I., J. Hirani, M. G. Bell, and B. Mount. 2016. “Pedestrian gap acceptance behavior in street designs with elements of shared space.” Transp. Res. Rec. 2586 (1): 17–27. https://doi.org/10.3141/2586-03.
Kéry, M. 2010. “Introduction to WinBUGS for Ecologists”. Chap. 3 in WinBUGS, 29–32. Cambridge, MA: Academic Press. https://doi.org/10.1016/B978-0-12-378605-0.00003-X.
Koh, P., Y. Wong, and P. Chadrasekar. 2014. “Safety evaluation of pedestrian behaviour and violations at signalised pedestrian crossings.” Saf. Sci. 70 (Dec): 143–152. https://doi.org/10.1016/j.ssci.2014.05.010.
Liu, H., Y. Zhang, Y. Zhang, and J. Qiu. 2019. “Influence of pedestrian crosswalk guidance strategy on traffic efficiency and exhaust emissions.” In Proc., CICTP 2019: Transportation in China—Connecting the World, 4072–4084. Reston, VA: ASCE. https://doi.org/10.1061/9780784482292.352.
Papadimitriou, E., S. Lassarre, and G. Yannis. 2016. “Introducing human factors in pedestrian crossing behaviour models.” Transp. Res. Part F: Traffic Psychol. Behav. 36 (Jan): 69–82. https://doi.org/10.1016/j.trf.2015.11.003.
Pawar, D. S., and G. R. Patil. 2015. “Pedestrian temporal and spatial gap acceptance at mid-block street crossing in developing world.” J. Saf. Res. 52 (Feb): 39–46. https://doi.org/10.1016/j.jsr.2014.12.006.
Rasouli, A., I. Kotseruba, and J. K. Tsotsos. 2017. “Understanding pedestrian behavior in complex traffic scenes.” IEEE Trans. Intell. Veh. 3 (1): 61–70. https://doi.org/10.1109/TIV.2017.2788193.
RTRA (Road and Transportation Research Association). 2003. Guidelines for traffic signals (RiLSA). Cologne, Germany: RTRA.
Sayed, T., M. Zaki, and A. Tageldin. 2016. “Automated pedestrians data collection using computer vision.” In Smart city, 31–43. Berlin: Springer.
Sha, D., Y. Guo, and Y. Ding. 2016. “Pedestrian safety diagnosis at signalized crosswalks using traffic conflict techniques.” In Proc., 16th COTA Int. Conf. Transportation Professionals, 1811–1823. Reston, VA: ASCE. https://doi.org/10.1061/9780784479896.166.
Sinclair, M., and G. Dennysen. 2018. Evaluation of the safety benefits of the exclusive and concurrent green man phasings for pedestrians in Cape Town. In Proc., 37th Annual Southern African Transport Conf. Pretoria, South Africa: CSIR International Convention Centre.
Tu, R., I. Kamel, A. Wang, B. Abdulhai, and M. Hatzopoulou. 2018. “Development of a hybrid modelling approach for the generation of an urban on-road transportation emission inventory.” Transp. Res. Part D: Transp. Environ. 62: 604–618. https://doi.org/10.1016/j.trd.2018.04.011.
Tubino, F., and G. Piccardo. 2016. “Serviceability assessment of footbridges in unrestricted pedestrian traffic conditions.” Struct. Infrastruct. Eng. 12 (12): 1650–1660. https://doi.org/10.1080/15732479.2016.1157610.
Wang, L., M. Abdel-Aty, W. Ma, J. Hu, and H. Zhong. 2019. “Quasi-vehicle-trajectory-based real-time safety analysis for expressways.” Transp. Res. Part C: Emerging Technol. 103 (Jun): 30–38. https://doi.org/10.1016/j.trc.2019.04.003.
WHO (World Health Organization). 2015. “Pedestrian safety: A road safety manual for decision-makers and practitioners.” Accessed May 30, 2017. http://www.who.int/roadsafety/projects/manuals/pedestrian/en/2015.
Wu, Y., J. Lu, W. Zhu, and Y. Chen. 2017. “Investigation of pedestrians crossing behavior at signalized intersections in China.” In Proc., 2017 4th Int. Conf. on Transportation Information and Safety (ICTIS), 653–657. New York: IEEE.
Xu, J., Y. Ge, W. Qu, X. Sun, and K. Zhang. 2018. “The mediating effect of traffic safety climate between pedestrian inconvenience and pedestrian behavior.” Accid. Anal. Prev. 119 (Oct): 155–161. https://doi.org/10.1016/j.aap.2018.07.020.
Yannis, G., E. Papadimitiou, and A. Theofilatos. 2013. “Pedestrian gap acceptance for mid-block street crossing.” Transp. Plan. Techn. 36 (5): 450–462. https://doi.org/10.1080/03081060.2013.818274.
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Information
Published In
Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 11 • November 2020
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Aug 25, 2019
Accepted: Mar 12, 2020
Published online: Aug 20, 2020
Published in print: Nov 1, 2020
Discussion open until: Jan 20, 2021
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