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Walk or wait?: An empirical analysis of street crossing decisions

Author

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  • Sanghamitra Das

    (Indian Statistical Institute, New Delhi)

  • Charles F. Manski

    (Institute for Policy Research, Northwestern University)

  • Mark D. Manuszak

    (Graduate School of Industrial Administration, Carnegie Mellon University)

Abstract

We examine the behaviour of pedestrians wishing to cross a stream of trasffic at signalized intersections. We model each padestrian as making a desccrete crossing choice by comparing the gaps between vehicles in traffic to an individual-specific "critical gap" that characterizes the individual's minimal acceptable gap. We propose both parametric and nonparametric approaches to estimate the distribution of critical gaps in the population of pedestrians. To estimate the model, we gather field data on crossing decisions and vehicle flows at three intersections in New Delhi. The estimates provide information about heterogeneity in critical gaps across pedestrians and intersections and permits simulation of the effect of changes in traffic light sequence (flows)on pedestran crossing behavior and waiting times.

Suggested Citation

  • Sanghamitra Das & Charles F. Manski & Mark D. Manuszak, 2003. "Walk or wait?: An empirical analysis of street crossing decisions," Discussion Papers 03-09, Indian Statistical Institute, Delhi.
    • Handle: RePEc:alo:isipdp:03-09
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    File URL: http://www.isid.ac.in/~pu/dispapers/dp03-09.pdf
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    References listed on IDEAS

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    Cited by:

    1. Raul Almeida & Emanuel Sousa & Dário Machado & Frederico Pereira & Susana Faria & Elisabete Freitas, 2024. "Analysis of the Interaction between Humans and Autonomous Vehicles Equipped with External Human–Machine Interfaces: The Effect of an Experimental Reward Mechanism on Pedestrian Crossing Behavior in a ," Sustainability, MDPI, vol. 16(8), pages 1-23, April.
    2. Yang, Jianguo & Deng, Wen & Wang, Jinmei & Li, Qingfeng & Wang, Zhaoan, 2006. "Modeling pedestrians' road crossing behavior in traffic system micro-simulation in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 280-290, March.
    3. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    4. Wafaa Saleh & Monika Grigorova & Samia Elattar, 2020. "Pedestrian Road Crossing at Uncontrolled Mid-Block Locations: Does the Refuge Island Increase Risk?," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    5. Avineri, Erel & Shinar, David & Susilo, Yusak O., 2011. "Pedestrians’ behaviour in cross walks: The effects of fear of falling and age," Working papers in Transport Economics 2011:18, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    6. Ran Zhang & Zhonghua Wei & Heng Gu & Shi Qiu, 2021. "Behavior Evolution of Multi-Group in the Process of Pedestrian Crossing Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 13(4), pages 1-17, February.

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