THE INFLUENCE OF DIFFERENT FACTORS ON THE PERCENTAGE OF PEDESTRIANS CROSSING ON RED AT SIGNALIZED INTERSECTIONS

OLIKA FAKTORERS INVERKAN PAA ROEDGAAENDET I SIGNALREGLERADE KORSNINGAR

When a pedestrian starts crossing on red instead of waiting for green the risk of a personal injury accident increases. To minimize the proportion of redwalkers it is essential to know what factors influence such a habit. Two methods have been used. Primarily frequency studies of the proportion of redwalking have been carried out at 38 intersections in 15 cities. At these intersections traffic counts have been carried out as well. Furthermore information has been collected about the design of the intersection, the signalization technique, and the weather conditions at the time of the study. Secondary interview studies have been carried out, with both green- and redwalkers in four different cities. In total 579 persons have been interviewed. In one of these cities a scramble-system has been investigated, in the other cities conventional signalization was chosen. In the scrambled intersection a special interview was carried out. Multiple regression analysis has been made on the data collected at the frequency-studies. Out of these a model has been developed. This model can be used to predict the percentage of redwalking on a zebra crossing at a signalized intersection. The prediction model stems directly from the way the chosen factors influence the level of redwalking. The most effective way to decrease the redwalking seems to be a more effective enforcement by the police. Frequent controls would make pedestrians aware of the risk of getting fined. An effective way of increasing safety for the pedestrians at signalized intersections would be to introduce scramble. The effect on safety depends on the proportion of redwalking. Finally the local government could in many cases substitute bad working signals by other measures more effective for pedestrian safety, as traffic regulation or speed reduction. The effect of these countermeasures must however be further investigated before they are introduced on a larger scale. (TRRL)

• Corporate Authors:

  Lund University of Technology, Sweden

  Fack S-22007
  Lind 7,   Sweden 
• Authors:
  • GAARDER, P
  • HYDEN, C
  • LINDERHOLM, L
• Publication Date: 1979

Language

• Swedish

Media Info

• Features: Figures; References; Tables;
• Pagination: 83 p.

Subject/Index Terms

• TRT Terms: Countermeasures; Crimes; Crosswalks; Data collection; Forecasting; Hazards; Intersections; Interviewing; Law enforcement; Mathematical models; Measurement; Offenders; Pedestrian actuated controllers; Pedestrian movement; Pedestrian phase; Pedestrians; Police; Red; Red interval (Traffic signal cycle); Regression analysis; Risk assessment; Signalized intersections; Traffic control; Traffic counts; Traffic safety; Traffic signals
• Uncontrolled Terms: Violations
• ITRD Terms: 1667: Crossing the road; 1534: Enforcement (law); 132: Forecast; 9147: Interview; 455: Junction; 6473: Mathematical model; 6136: Measurement; 1516: Offence; 1508: Offender; 1733: Pedestrian; 1659: Pedestrian crossing; 539: Red light; 6588: Regression analysis; 654: Traffic control; 689: Traffic count; 565: Traffic signal
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors; Security and Emergencies; I73: Traffic Control;

Filing Info

• Accession Number: 00316914
• Record Type: Publication
• Source Agency: Swedish National Road and Transport Research Institute (VTI)
• Report/Paper Numbers: Bull. No. 29 Monograph
• Files: ITRD, TRIS
• Created Date: Oct 27 1980 12:00AM