01742728

Component

https://doi.org/10.1177/0361198120922851

The objective of this paper is to highlight important differences between taxis and transportation network companies (TNCs) in a large urban area. We analyze the publicly available dataset from Chicago which includes taxi and transportation network company (TNC) utilization and the level of service measures from five months in 2013–2014 and the same five months in 2018–2019. We compare and contrast the data from these two points in time to document utilization of taxis and TNCs and to measure differences in travel times, travel distances, fares, destinations served, and the spatial and temporal distribution of these trips. Travel to and from airports has been evaluated separately owing to the exceptionally high number of trips they generate. Striking differences between pooled and unpooled TNC trip volumes and other travel metrics have been assessed to highlight their operational diversity despite being considered as the same mode. The exploratory analysis has been carried out across the shared-ride, time, and mode dimensions. The study revealed both similarities and differences in taxi trip characteristics between the two evaluation periods and also outlined how the ridehailing market has grown over the years despite the near stagnation in population and employment in the city. We believe that assessing how taxis have fared through this time and highlighting the intrinsic differences between how the old and new mode of on-demand ride services coexist is important. This study aims to help understand how new-age mobility services are impacting transportation in one of the largest cities in the U.S.

© National Academy of Sciences: Transportation Research Board 2020.

English

pp 385-397

2020-7

Transportation Research Record: Journal of the Transportation Research Board

Web

References (32)

Alternatives analysis; Evaluation and assessment; Large cities; Level of service; Ridesourcing; Taxicab companies; Urban areas

Chicago (Illinois)

Highways; Planning and Forecasting; Public Transportation

TRIS, TRB, ATRI

Jun 17 2020 3:04PM