Impact analysis of transit travel spatial-temporal behavior based on multiple source data

Abstract

Analyzing the mechanism of travel behavior is helpful to deepen people's understanding of residents' behavior, and provides scientific theoretical basis for urban development decisions. Based on multi-source data, this paper constructs a research framework of transit passenger travel spatial-temporal behavior to analyze the impact of built environment, transit operation, individual attributes on passengers’ travel characteristics and regularity. In order to approach the ‘real’ geographical background, travel origin, destination and route are considered to represent the geographical background range of built environment, and further discusses the difference of "geographical background uncertainty problem" in different periods. Results show that a well-designed built environment can significantly increase travel regularity, and the degree from large to small is ‘route environment, origin built environment, destination built environment’; transit dependence and travel characteristics are highly related to travel regularity. Built environment and transit operation have similar impacts on travel behaviour in different periods, but they are different in the relative extent of impact. Compared with morning peak and evening peak, the impact on travel characteristics and regularity of off-peak is the largest.