Abstract

Taxi is an indispensable mode in the urban public transportation. Although many studies have explored the travel patterns of taxi trips, few have combined taxi and subway to reveal their intermodal relationship. To bridge the gap, this study utilized taxi’s trajectory data to investigate its relationship with subway. Considering the multifaceted relationship between taxi and subway in operation, taxi trips are categorized into three types, namely, subway-competing, subway-extending, and subway-complementing taxi trips. The characteristics of each type of taxi trips reflect the specialties and their interactions with subway. The origin/destination distributions of taxi and subway trips are compared and analyzed. Furthermore, the supply and demand of taxi within the buffer zone of each subway station are analyzed to reflect the difficulty of hailing taxis. The negative binomial regression models are used to explore the relationship between taxi trips and subway ridership. The results show that there is a significantly positive correlation between taxi trips and subway ridership.

Highlights

  • Taxi is a flexible on-demand public transportation, which provides passengers door-to-door services without the requirement of private car ownership

  • To explore the relationship between taxi and subway, the taxi trips are categorized into three types, denoted as subwaycompeting, subway-extending, and subway-complementing taxi trips [23]

  • This study investigated the relationship between taxi and subway, with the taxi Global Positioning System (GPS) data, subway ridership data, locations of subway stations, and points of interest (POIs) data

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Summary

Introduction

Taxi is a flexible on-demand public transportation, which provides passengers door-to-door services without the requirement of private car ownership. Taxi has the potential to satisfy the travel demand unmet by other modes of public transportation. Understanding the relationship can assist in providing more satisfying transportation services and encouraging mode shift from automobile to subway. A body of studies have explored the characteristics of taxi trips. Using 20 million trajectories with fine granularity collected from more than 10 thousand taxis in Beijing, the taxis’ traveling displacements in urban areas were found to follow an exponential distribution [1]. Wang et al [2] indicated that the displacement distributions of taxi trips follow exponential laws in two displacement ranges, while the trip duration and interevent time distributions can be approximated by log-normal distributions. Kamga et al [6] found that taxi supply exhibits variations due to the decisions of taxi drivers, which are driven by both ridership levels and trip characteristics

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