Modeling Crossing Pedestrians’ Risk Intensity Based on Mixed Index Ranking: Selected Time to Collision and Speed of Approaching Vehicle (A Case Study of Qazvin City)

Document Type : Scientific - Research

Authors

1 Msc. Grad, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran

2 Grad, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran

3 Associate Professor, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran

Abstract

Once pedestrians decide to cross the streets, it is inevitable that they will conflict with motor vehicles. While crossing the streets, pedestrians may get into collisions by inaccurate judgments about the selected time to collision and speed of approaching vehicle. Thus, the aim of the current study is to investigate and identify factors affecting on pedestrians’ risk intensity based on mixed index ranking selected time to collision and speed of approaching vehicle when crossing intersections in urban streets. For this purpose, time to collision and speed of approaching vehicle for 800 pedestrians were collected by using an observational survey of six signalized and un-signalized intersections located in Qazvin city. The critical combination of these two parameters were considered as an indicator of risk. After rating the risk intensity, the ordered logit model was used for modeling. Results of this study showed that the average time to collision selected by male pedestrians (9.5 seconds) is less than women pedestrians (6.6 seconds), but the average speed of approaching vehicle selected by their (25 k/h) is similar for every two gender. The speed of approaching vehicle as the most important criteria in prioritizing pedestrians risk intensity were identified. More than 70 percent of the pedestrians while speed of approaching vehicle was 40 km/h, they taking risk. It is also indicated that factors such as gender, age, pedestrian speed, using mobile, time to collision and speed of approaching vehicles have significantly affect pedestrians risk taking behaviors. Elasticity analysis showed that the speed of approaching vehicle is the most effective variables in risk taking of pedestrians.

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Quarterly Journal of Transportation Engineering
Volume 9, Issue 2 - Serial Number 34
January 2018
Pages 277-294

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History

  • Receive Date: 29 August 2016
  • Revise Date: 24 January 2017
  • Accept Date: 25 January 2017

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