Abstract

Pedestrian walking speed is an important reflection of pedestrian characteristics. From the perspective of statistics analysis, this paper aims to investigate the statistical distribution models of pedestrian walking speed and the impacts of pedestrian gender and age on their walking speed. Based on the data of the pedestrian walking speed in port shopping centers, the relationship between pedestrian walking speed and pedestrian density is analyzed using the VISSIM simulation platform. Also, the relationship model of pedestrian walking speed and pedestrian density is provided in this paper. The results show that pedestrian walking speed is affected and shown as a log-normal distribution model when the pedestrian density is high. Moreover, pedestrian gender and age are also major contributing factors. Finally, a linear negative correlation coefficient is calculated between pedestrian density and walking speed under certain pedestrian flows.

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