Campus Units

Civil, Construction and Environmental Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

2-2018

Journal or Book Title

Transportation Research Part C: Emerging Technologies

Volume

87

First Page

91

Last Page

104

DOI

10.1016/j.trc.2017.12.017

Abstract

Electric taxis have the potential to improve urban air quality and save driver’s energy expenditure. Although battery electric vehicles (BEVs) have drawbacks such as the limited range and charging inconvenience, technological progress has been presenting promising potential for electric taxis. Many cities around the world including New York City, USA are taking initiatives to replace gasoline taxis with plug-in electric vehicles. This paper extracts ten variables from the trip data of the New York City yellow taxis to represent their spatial-temporal travel patterns in terms of driver-shift, travel demand and dwell, and examines the implications of these driving patterns on the BEV taxi feasibility. The BEV feasibility of a taxi is quantified as the percentage of occupied trips that can be completed by BEVs of a given driving range during a year. It is found that the currently deployed 280 public charging stations in New York City are far from sufficient to support a large BEV taxi fleet. However, adding merely 372 new charging stations at various locations where taxis frequently dwell can potentially make BEVs with 200- and 300-mile ranges feasible for more than half of the taxi fleet. The results also show that taxis with certain characteristics are more suitable for switching to BEV-200 or BEV-300, such as fewer daily shifts, fewer drivers assigned to the taxi, shorter daily driving distance, fewer daily dwells but longer dwelling time, and higher likelihood to dwell at the borough of Manhattan.

Research Focus Area

Transportation Engineering

Comments

This is a manuscript of an article published as Hu, Liang, Jing Dong, Zhenhong Lin, and Jie Yang. "Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA." Transportation Research Part C: Emerging Technologies 87 (2018): 91-104. DOI: 10.1016/j.trc.2017.12.017. Posted with permission.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Copyright Owner

Elsevier Ltd.

Language

en

File Format

application/pdf

Available for download on Monday, December 30, 2019

Published Version

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