Using a Logit Model to Predict Pedestrian Crossing Behavior Based Upon Vehicle Speed and Headway on Multi-lane Street

Evaluation and identification of effective parameters in pedestrian’s decision-making process when crossing a street can be beneficial in improving his/her safety. In this report, two pedestrian mid-block crosswalks in Tehran, Iran were selected to study pedestrians' decision. The data from the video films at these crosswalks were used to fit the logit and nested logit models. The results indicate that factors such as arrival time of first nearside vehicle to crosswalk, headway between first and second vehicle approaching the crosswalk, vehicles’ platoon size and their approaching speed in each lane, pedestrian’s age, gender and his/her position in the street (curbside and median) have effect on the decision to cross streets.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Nassiri, Habibollah
  • Sajed, Yousef
• Conference:
  • Transportation Research Board 88th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2009-1-11 to 2009-1-15
• Date: 2009

Language

• English

Media Info

• Media Type: DVD
• Features: Figures; References; Tables;
• Pagination: 14p
• Monograph Title: TRB 88th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Arterial highways; Headways; Logits; Median barriers; Midblock crossings; Pedestrian movement; Pedestrian safety; Speed
• Subject Areas: Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01125541
• Record Type: Publication
• Report/Paper Numbers: 09-3793
• Files: BTRIS, TRIS, TRB
• Created Date: Mar 31 2009 6:55AM