Highlights We develop a joint hazard-based duration model to investigate pedestrian crossing behavior and waiting times at signalized intersections. A logit model is used to identify the probability and the effect of significant covariates for immediate crossing behavior. The Weibull AFT model with shared frailty is appropriate for modelling pedestrian waiting behavior. Failure to account for heterogeneity would underestimate the effects of covariates on pedestrian waiting times. The proposed model helps to better understand pedestrian crossing behavior in developing countries with high flow of mixed traffic.
Abstract The waiting process is crucial to pedestrians in the street-crossing behavior. Once pedestrians terminate their waiting behavior during the red light period, they would cross against the red light and put themselves in danger. A joint hazard-based duration model is developed to investigate the effect of various covariates on pedestrian crossing behavior and to estimate pedestrian waiting times at signalized intersections. A total of 1181 pedestrians approaching the intersections during red light periods were observed in Beijing, China. Pedestrian crossing behaviors are classified into immediate crossing behavior and waiting behavior. The probability and effect of various covariates for pedestrians’ immediate crossing behavior are identified by a logit model. Four accelerated failure time duration models based on the exponential, Weibull, lognormal and log-logistic distributions are proposed to examine the significant risk factors affecting duration times for pedestrians’ waiting behavior. A joint duration model is developed to estimate pedestrian waiting times. Moreover, unobserved heterogeneity is considered in the proposed model. The results indicate that the Weibull AFT model with shared frailty is appropriate for modelling pedestrian waiting durations. Failure to account for heterogeneity would significantly underestimate the effects of covariates on waiting duration times. The proposed model provides a better understanding of pedestrian crossing behavior and more accurate estimation of pedestrian waiting times. It may be applicable in traffic system analysis in developing countries with high flow of mixed traffic.
An accelerated failure time model for investigating pedestrian crossing behavior and waiting times at signalized intersections
Accident Analysis and Prevention ; 82 ; 154-162
2015-04-29
9 pages
Article (Journal)
Electronic Resource
English
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