Critical factors influenced Pedestrian Walking Speed: A Meta-Analysis

Abstract

Active transport plays a vital role in sustainable transport and urban planning and is beneficial for health. Since improving active transport facilities that provide service to active transport would improve the safety and convenience of micromobility users, it is essential to measure the performance of active transport facilities. Further, pedestrian walking speed has been recognised as the main design factor for pedestrian facilities. Due to different focuses and various outcome reports on cases related to walking speed, this study selects 41 papers and collects external data of quality of life indexes to control built environment and economic status of each case. A two-step modeling process is developed. Firstly, DBSCAN has been used to identify the similarities among the samples. Three clusters identified would be one of the inputs in the second stage. Secondly, meta-analysis regression model is developed. The result indicates that young pedestrians, weather, and DBSCAN clusters have significant positive impacts. Elderly, female pedestrians, specific clothing wearing, commercial land use, and speed type have significant negative impacts. Moreover, this study compares the worldwide Global Street Design Guide indicators with the meta-analysis model results. Findings would provide policymakers or planners with a clear guide on facility design.