The rise and fall of transit ridership across Canada: Understanding the determinants

被引:35
作者
Diab, Ehab [1 ]
Kasraian, Dena [2 ]
Miller, Eric J. [3 ]
Shalaby, Amer [3 ]
机构
[1] Univ Saskatchewan, Dept Geog & Planning, 117 Sci Pl,Room 111, Saskatoon, SK S7N 5C8, Canada
[2] Eindhoven Univ Technol, Dept Built Environm, 6 De Groene Loper, NL-5612 AE Eindhoven, Netherlands
[3] Univ Toronto, Dept Civil & Mineral Engn, 35 St George St, Toronto, ON M5S 1A4, Canada
关键词
Ridership; Service supply; Public transit; Longitudinal analysis; Two-stage least square (2SLS) model; BUS RIDERSHIP; LAND-USE; LEVEL; INFORMATION; INCREASES; IMPACT; AREAS; RIDE;
D O I
10.1016/j.tranpol.2020.07.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
Recently, there have been growing concerns about the negative impacts of rising automobile use and road congestion on personal mobility, safety, air quality and climate change. To address these issues, special attention has been given to improving and expanding transit services in order to attract new riders and retain existing ones. Despite these efforts, transit ridership across Canada has been levelling-off and, in many cases, declining over the past few years. The goal of this study is to provide an empirical investigation of variables that affect variations in transit ridership among transit systems and over time. To achieve this goal, the study used a comprehensive longitudinal dataset of different factors collected from 103 transit agencies in Canada between 2002 and 2016. Two-stage least square (2SLS) models were developed for the purpose of the study. The results suggest that transit ridership (in terms of number of linked trips) in Canada is associated with several factors that differ according to transit agency size. These factors include built environment and socioeconomic aspects in addition to transit supply attributes. Additionally, ride-sharing systems (i.e., Uber service) have a mixed impact on ridership that varies according to the size of transit system. The presence of Uber within large transit agencies service areas is shown to have a small positive impact on ridership, while it is negatively associated with ridership for small transit agencies. This paper provides policy makers and planners with useful policy-relevant information related to the association between different factors and transit ridership.
引用
收藏
页码:101 / 112
页数:12
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