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Identification and Modeling Of Factors Affecting The Waiting Time of Pedestrians to Cross at Signalized Intersections

Yeganeh, Ali | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 50625 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Nasiri, Habibollah
  7. Abstract:
  8. Studies show that Pedestrians are at fault in 59% of the vehicle-pedestrian accidents. The traffic crash statistics show the importance of understanding factors of pedestrian errors. If pedestrians terminate their waiting behavior during the red light period and cross the street, they would put themselves in danger. Pedestrians’ red-light violation is a type of highly dangerous behavior occurring at intersections. A total of 1130 pedestrians approaching the intersections during red light periods were observed from the videotapes data collected at 6 intersections in Tehran, Iran. Pedestrian crossing behaviors are classified into immediate crossing behavior and waiting behavior. A logit model is developed to identify the probability and effect of various covariates for pedestrians’ immediate crossing behavior. The estimated parameters of the logit model in predicting the immediate crossing behavior were determined and the significant parameters were identified. The results indicate that the immediate crossing was significantly affected by Survey location (South, center or north of the city), Gender, Crosswalk length, temperature range, traffic volume and the number of other pedestrians who are waiting for the green light and who are crossing against red light when the pedestrian arrives at the intersection, but Influence of Survey time (Peak or Off-peak) and age are not significant. Survival analysis including Cox’s proportional hazards regression model were implemented to mode the pedestrian waiting times at signalized intersections. The cumulative survival and hazard rate of the pedestrians waiting behavior based on Cox’s proportional hazards regression model were determined. The results showed that the waiting time was significantly affected by Survey time, Survey location, Crosswalk length, temperature range, traffic volume, Number of people waiting upon arrival and Number of people crossing upon arrival, but Influence of Gender and age are not significant
  9. Keywords:
  10. Pedestrian ; Waiting Time ; Safety ; Behavioral Model ; Signalized Intersection

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