Campus Units

Civil, Construction and Environmental Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

12-2016

Journal or Book Title

Transportation Research Part D: Transport and Environment

Volume

49

First Page

68

Last Page

81

DOI

10.1016/j.trd.2016.08.037

Abstract

This paper investigates the market potential and environmental benefits of replacing internal combustion engine (ICE) vehicles with battery electric vehicles (BEVs) in the taxi fleet in Nanjing, China. Vehicle trajectory data collected by onboard global positioning system (GPS) units are used to study the travel patterns of taxis. The impacts of charger power, charging infrastructure coverage, and taxi apps on the feasibility of electric taxis are quantified, considering taxi drivers’ recharging behavior and operating activities. It is found that (1) depending on the charger power and coverage, 19% (with AC Level 2 chargers and 20% charger network coverage) to 56% (with DC chargers and 100% charger network coverage) of the ICE vehicles can be replaced by electric taxis without driving pattern changes; (2) by using taxi apps to find nearby passengers and charging stations, drivers could utilize the empty cruising time to charge the battery, which may increase the acceptance of BEVs by up to 82.6% compared to the scenario without taxi apps; and (3) tailpipe emissions in urban areas could be significantly reduced with taxi electrification: a mixed taxi fleet with 46% compressed-natural-gas-powered (CNG) and 54% electricity-powered vehicles can reduce the tailpipe emissions by 48% in comparison with the fleet of 100% CNG taxis.

Research Focus Area

Transportation Engineering

Comments

This is a manuscript of an article published as Yang, Jie, Jing Dong, Zhenhong Lin, and Liang Hu. "Predicting market potential and environmental benefits of deploying electric taxis in Nanjing, China." Transportation Research Part D: Transport and Environment 49 (2016): 68-81. DOI: 10.1016/j.trd.2016.08.037. 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

Published Version

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