Assessment of pedestrian's road crossing behaviors and developing a model to predict road crossing speed on zebra-marked crossings

Zebra marked crosswalk is the most common types of road crossings on urban and rural streets. According to previous studies, accidents are frequently occurred on and around marked crosswalk. Assessment on crosswalk utilization, pedestrian crossing speed and modeling the crossing speed were the main goals of this study. The road crosser data were collected by video recording for the sake of its convenience. Road-crosser behaviors were extracted manually. Three road segments of 15 m length with zebra marked crosswalks were selected as a representative location for this study. The video was recorded in three different working days and two times per day, that represented high and low pedestrian movements. The duration for recording and observation was 15 min per segment. There were 494 pedestrians (37%) observed while crossing illegally from 1350 road crosser pedestrians. The extracted data were analyzed to determine the influence of human factors on crosswalk utilization and crossing speed on 323 pedestrians. The results showed that human factors did not influence the crosswalk utilization preference of pedestrians. However, human factors such as gender, number of elders, crossing group, activities and baggage had significant influence on the road crossing speed. A predictive model was developed using multiple linear regression for crossing speed.