Abstract

Car travel accounts for the largest share of transportation-related greenhouse gas emissions in the United States (U.S.), leading to serious air pollution and negative health effects; approximately 76.3% of car trips are single-occupant. To reduce the negative externalities of cars, ridesharing and public transit are advocated as cost-effective and more environmentally sustainable alternatives. A better understanding of individuals’ uses of these two transport modes and their relationship is important for transport operators and policymakers; however, it is not well understood how ridesharing use is associated with public transit use. The objective of this study is to examine the relationships between the frequency and probability of ridesharing use and the frequency of public transit use in the U.S. Zero-inflated negative binomial regression models were employed to investigate the associations between these two modes, utilizing individual-level travel frequency data from the 2017 National Household Travel Survey. The survey data report the number of times the respondent had used ridesharing and public transit in the past 30 days. The results show that, generally, a one-unit increase in public transit use is significantly positively related to a 1.2% increase in the monthly frequency of ridesharing use and a 5.7% increase in the probability of ridesharing use. Additionally, the positive relationship between ridesharing and public transit use was more pronounced for people who live in areas with a high population density or in households with fewer vehicles. These findings highlight the potential for integrating public transit and ridesharing systems to provide easier multimodal transportation, promote the use of both modes, and enhance sustainable mobility, which are beneficial for the environment and public health.

Highlights

  • According to the United States (U.S.) Environmental Protection Agency (EPA)’s report, in 2016, the transportation sector was the largest source (28.5%) of greenhouse gas emissions in the U.S, leading to serious air pollution and negative health effects [1]

  • 30 days) and the frequency of public transit use, and the result was shown in the non-zero state; we investigated the associations between the probability of ridesharing use and the frequency of public transit use, and the result was shown in the zero state

  • The number of vehicles in the household influences the associations between ridesharing and public transit use, so we constructed Zero-inflated negative binomial (ZINB) models to examine the association between ridesharing and public transit use varied by the household vehicle ownership

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Summary

Introduction

According to the United States (U.S.) Environmental Protection Agency (EPA)’s report, in 2016, the transportation sector was the largest source (28.5%) of greenhouse gas emissions in the U.S, leading to serious air pollution and negative health effects [1]. Cars accounted for the largest share (41.6%) of transportation-related greenhouse gas emissions. Community Survey reported that approximately 76.3% of people drive alone (single-occupant) to work, while 9.0% use ridesharing services and 5.1% use public transit [2]. Single-occupant trips combined with the increasing number of cars on the road lead to severe congestion, more vehicle emissions, increased fuel use, and stress among people. To reduce the negative externalities of cars, ridesharing and public transit are advocated as cost-effective and more environmentally sustainable alternative transportation modes [3,4].

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