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Development of pedestrian crossing behavior and safety index models at signalized intersections under mixed traffic conditions

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Abstract

Pedestrians are considered the most vulnerable road users at intersections, and their crossing behaviors significantly impact the perception of safety. But it is very difficult to analyze pedestrian crossing behavior due to pedestrians' complex and diverse nature. Therefore, this study aimed to develop pedestrian crossing behavior and safety index models by combining qualitative and quantitative data at signalized intersections, which will help improve pedestrian movement. The data were collected and extracted from a videographic and user perception survey at four signalized intersections in Coimbatore, India. The variations in pedestrian crossing behavior concerning socio-economic variables, travel attributes, pedestrian and traffic characteristics, and geometric characteristics were identified using Pearson and Spearman correlation tests. The binary logit models were developed to evaluate pedestrian crossing behavior in noncompliance with signal, crossing in an unmarked area, and mobile usage while crossing the crosswalk. A structural equation modeling approach was adopted to combine three behaviors for analyzing crossing behavior. An ordered probit model was developed to estimate the pedestrian perception-based safety index value at signalized intersections. Finally, all the models were validated, and the statistical results showed that the proposed models predicted pedestrian crossing behavior and the safety index value more accurately under mixed traffic conditions.

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References

  1. MoRTH (2020) Road Accidents in India https://doi.org/10.1016/s0386-1112(14)60239-9

  2. Ren G, Zhou Z, Wang W, Zhang Y, Wang W (2011) Crossing behaviors of pedestrians at signalized intersections. Transp Res Rec J Transp Res Board 2264(1):65–73. https://doi.org/10.3141/2264-08

    Article  Google Scholar 

  3. Marisamynathan S, Vedagiri P (2018) Modeling pedestrian crossing behavior and safety at signalized intersections. Transp Res Rec 2672(31):76–86. https://doi.org/10.1177/0361198118759075

    Article  Google Scholar 

  4. Marisamynathan S, Vedagiri P (2018) Estimation of Pedestrian Safety Index Value at Signalized Intersections Under Mixed Traffic Conditions. Transp Dev Econ 4(1):1–11. https://doi.org/10.1007/s40890-018-0058-0

    Article  Google Scholar 

  5. Marisamynathan S, Vedagiri P (2019) Pedestrian perception-based level-of-service model at signalized intersection crosswalks. J Mod Transp 27(4):266–281. https://doi.org/10.1007/s40534-019-00196-5

    Article  Google Scholar 

  6. Albert S, Marisamynathan S (2022) Pedestrian road crossing behavior and optimal selection of pedestrian facilities at mid-block crossings. Eur Transp 87:1–16

    Google Scholar 

  7. Jiang K et al (2018) Effects of mobile phone distraction on pedestrians’ crossing behavior and visual attention allocation at a signalized intersection: an outdoor experimental study. Accid Anal Prev 115:170–177. https://doi.org/10.1016/j.aap.2018.03.019

    Article  Google Scholar 

  8. Ulak MB, Kocatepe A, Yazici A, Ozguven EE, Kumar A (2021) A stop safety index to address pedestrian safety around bus stops. Saf Sci 133(20):105017. https://doi.org/10.1016/j.ssci.2020.105017

    Article  Google Scholar 

  9. Asadi-Shekari Z, Moeinaddini M, Zaly Shah M (2015) Pedestrian safety index for evaluating street facilities in urban areas. Saf Sci 74:1–14. https://doi.org/10.1016/j.ssci.2014.11.014

    Article  Google Scholar 

  10. Zegeer CV et al (2006) Index for assessing pedestrian safety at intersections. Transp Res Rec 1982:76–83. https://doi.org/10.3141/1982-11

    Article  Google Scholar 

  11. Holland C, Hill R (2007) The effect of age, gender and driver status on pedestrians’ intentions to cross the road in risky situations. Accid Anal Prev 39(2):224–237. https://doi.org/10.1016/j.aap.2006.07.003

    Article  Google Scholar 

  12. Ferenchak NN (2016) Pedestrian age and gender in relation to crossing behavior at midblock crossings in India. J Traffic Transp Eng English Ed 3(4):345–351. https://doi.org/10.1016/j.jtte.2015.12.001

    Article  Google Scholar 

  13. Sisiopiku VP, Akin D (2003) Pedestrian behaviors at and perceptions towards various pedestrian facilities: An examination based on observation and survey data. Transp Res Part F Traffic Psychol Behav 6(4):249–274. https://doi.org/10.1016/j.trf.2003.06.001

    Article  Google Scholar 

  14. Kadali BR, Vedagiri P (2015) Evaluation of pedestrian crosswalk level of service (LOS) in perspective of type of land-use. Transp Res Part A Policy Pract 73:113–124. https://doi.org/10.1016/j.tra.2015.01.009

    Article  Google Scholar 

  15. Marisamynathan S, Lakshmi S (2018) Method to determine pedestrian level of service for sidewalks in Indian context. Transp Lett 10(5):294–301. https://doi.org/10.1080/19427867.2016.1264668

    Article  Google Scholar 

  16. Pešić D, Antić B, Glavić D, Milenković M (2016) The effects of mobile phone use on pedestrian crossing behaviour at unsignalized intersections—models for predicting unsafe pedestrians behaviour. Saf Sci 82:1–8. https://doi.org/10.1016/j.ssci.2015.08.016

    Article  Google Scholar 

  17. Tezcan HO, Elmorssy M, Aksoy G (2019) Pedestrian crossing behavior at midblock crosswalks. J Saf Res 71:49–57. https://doi.org/10.1016/j.jsr.2019.09.014

    Article  Google Scholar 

  18. Bendak S, Alnaqbi AM, Alzarooni MY, Aljanaahi SM, Alsuwaidi SJ (2021) Factors affecting pedestrian behaviors at signalized crosswalks: an empirical study. J Saf Res 76:269–275. https://doi.org/10.1016/j.jsr.2020.12.019

    Article  Google Scholar 

  19. Jain A, Gupta A, Rastogi R (2014) Pedestrian crossing behaviour analysis at intersections. Int J Traffic Transp Eng 4(1):103–116. https://doi.org/10.7708/ijtte.2014.4(1).08

    Article  Google Scholar 

  20. Zhuang X, Wu C (2011) Pedestrians’ crossing behaviors and safety at unmarked roadway in China. Accid Anal Prev 43(6):1927–1936. https://doi.org/10.1016/j.aap.2011.05.005

    Article  Google Scholar 

  21. Ren G, Zhou Z, Wang W, Zhang Y, Wang W (2011) Crossing behaviors of pedestrians at signalized intersections: Observational study and survey in China. Transp Res Rec 2264:65–73. https://doi.org/10.3141/2264-08

    Article  Google Scholar 

  22. Wang Y, Shen B, Wu H, Wang C, Su Q, Chen W (2021) Modeling illegal pedestrian crossing behaviors at unmarked mid-block roadway based on extended decision field theory. Phys A Stat Mech Appl 562:125327. https://doi.org/10.1016/j.physa.2020.125327

    Article  Google Scholar 

  23. Iryo-Asano M, Alhajyaseen WKM, Nakamura H (2015) Analysis and modeling of pedestrian crossing behavior during the pedestrian flashing green interval. IEEE Trans Intell Transp Syst 16(2):958–969. https://doi.org/10.1109/TITS.2014.2346154

    Article  Google Scholar 

  24. Zhang C, Chen F, Wei Y (2019) Evaluation of pedestrian crossing behavior and safety at uncontrolled mid-block crosswalks with different numbers of lanes in China. Accid Anal Prev 123:263–273. https://doi.org/10.1016/j.aap.2018.12.002

    Article  Google Scholar 

  25. Muley D, Kharbeche M, Alhajyaseen W, Al-Salem M (2017) Pedestrians’ crossing behavior at marked crosswalks on channelized right-turn lanes at intersections. Procedia Comput Sci 109(2016):233–240. https://doi.org/10.1016/j.procs.2017.05.339

    Article  Google Scholar 

  26. Nasar J, Hecht P, Wener R (2008) Mobile telephones, distracted attention, and pedestrian safety. Accid Anal Prev 40(1):69–75. https://doi.org/10.1016/j.aap.2007.04.005

    Article  Google Scholar 

  27. Truong LT, Thai NH, Le TV, Debnath AK (2022) Pedestrian distraction: mobile phone use and its associations with other risky crossing behaviours and conflict situations. Saf Sci 153:105816. https://doi.org/10.1016/j.ssci.2022.105816

    Article  Google Scholar 

  28. Thompson LL, Rivara FP, Ayyagari RC, Ebel BE (2013) Impact of social and technological distraction on pedestrian crossing behaviour: an observational study. Inj Prev 19(4):232–237. https://doi.org/10.1136/injuryprev-2012-040601

    Article  Google Scholar 

  29. Marisamynathan S (2017) Modeling pedestrian level of service at signalized intersection under mixed traffic conditions. Transp Res Rec J Transp Res Board 86(2634):86–94. https://doi.org/10.3141/2634-13

    Article  Google Scholar 

  30. Hu M, Lu L, Yang J (2019) Exploring an estimation approach for the pedestrian level of service for metro stations based on an interaction index. Transp Lett 00(00):1–10. https://doi.org/10.1080/19427867.2019.1629061

    Article  Google Scholar 

  31. Ni Y, Wang M, Sun J, Li K (2016) Evaluation of pedestrian safety at intersections: a theoretical framework based on pedestrian-vehicle interaction patterns. Accid Anal Prev 96:118–129. https://doi.org/10.1016/j.aap.2016.07.030

    Article  Google Scholar 

  32. Nuñez Velasco JP et al (2021) Will pedestrians cross the road before an automated vehicle? The effect of drivers’ attentiveness and presence on pedestrians’ road crossing behavior. Transp Res Interdiscip Perspect. https://doi.org/10.1016/j.trip.2021.100466

    Article  Google Scholar 

  33. Poó FM, Ledesma RD, Trujillo R (2018) Pedestrian crossing behavior, an observational study in the city of Ushuaia, Argentina. Traffic Inj Prev 19(3):305–310. https://doi.org/10.1080/15389588.2017.1391380

    Article  Google Scholar 

  34. Russo BJ, James E, Aguilar CY, Smaglik EJ (2018) Pedestrian behavior at signalized intersection crosswalks: Observational study of factors associated with distracted walking, pedestrian violations, and walking speed. Transp Res Rec 2672(35):1–12. https://doi.org/10.1177/0361198118759949

    Article  Google Scholar 

  35. Hashimoto Y, Yanlei G, Hsu LT, Shunsuke K (2015) A probabilistic model for the estimation of pedestrian crossing behavior at signalized intersections. In: IEEE conference on intelligent transportation system proceedings, ITSC, 2015-Octob, pp 1520–1526. https://doi.org/10.1109/ITSC.2015.248

  36. Zhou ZP, Liu YS, Wang W, Zhang Y (2013) Multinomial logit model of pedestrian crossing behaviors at signalized intersections. Discret Dyn Nat Soc 2013:1–8. https://doi.org/10.1155/2013/172726

    Article  Google Scholar 

  37. Zhang H, Zhang C, Chen F, Wei Y (2019) Effects of mobile phone use on pedestrian crossing behavior and safety at unsignalized intersections. Can J Civ Eng 46(5):381–388. https://doi.org/10.1139/cjce-2017-0649

    Article  Google Scholar 

  38. Venkadavarahan M, Marisamynathan S (2022) Development of urban freight trip generation models concerning establishment classification process for a developing country. Int J Transp Sci Technol 11(3):603–618. https://doi.org/10.1016/j.ijtst.2021.08.001

    Article  Google Scholar 

  39. Venkadavarahan M, Marisamynathan S (2022) Estimation of rider’s shifting intention for electric bike adoption: an integrated choice and latent variable approach. Transp Lett 14(10):1151–1161. https://doi.org/10.1080/19427867.2021.2000815

    Article  Google Scholar 

  40. Ghomi H, Hussein M (2022) Analyzing the safety consequences of pedestrian spatial violation at mid-blocks: a Bayesian structural equation modeling approach. Transp Res Rec J Transp Res Board. https://doi.org/10.1177/03611981221097964

    Article  Google Scholar 

  41. Zhou H, Romero SB, Qin X (2016) An extension of the theory of planned behavior to predict pedestrians’ violating crossing behavior using structural equation modeling. Accid Anal Prev 95:417–424. https://doi.org/10.1016/j.aap.2015.09.009

    Article  Google Scholar 

  42. Ojo TK, Baffour Appiah A, Obiri-Yeboah A, Adebanji AO, Donkor P, Mock C (2022) Structural equation modeling of pedestrian behavior at footbridges in Ghana. Int J Inj Contr Saf Promot 29(4):489–499. https://doi.org/10.1080/17457300.2022.2081984

    Article  Google Scholar 

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Acknowledgements

The authors thank the interviewers and the voluntary respondents for their assistance with the data collection in the survey.

Funding

No funding support received from any authority.

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Correspondence to Sankaran Marisamynathan.

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Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Ethical approval

The required permission was obtained from the academic authority and traffic management department before the data collection process began.

Informed consent

Informed consent was obtained from the respondents before the commencement of the survey.

Appendices

Appendix 1

Questionnaire to capture pedestrian safety index at signalized intersections

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Appendix 2

Data Collection Process at Lakshmi Mills crossing

figure d

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Krishnan, A.M., Marisamynathan, S. Development of pedestrian crossing behavior and safety index models at signalized intersections under mixed traffic conditions. Innov. Infrastruct. Solut. 8, 209 (2023). https://doi.org/10.1007/s41062-023-01183-w

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