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Title: Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA

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 study 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. Finally, the results also show that taxis with certain characteristicsmore » 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.« less

Authors:
 [1]; ORCiD logo [1];  [2];  [3]
+ Show Author Affiliations
  1. Iowa State Univ., Ames, IA (United States). Dept. of Civil, Construction and Environmental Engineering
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Transportation Research Center
  3. Southeast Univ., Nanjing (China). Development Research Inst. of Transportation Governed by Law
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Iowa State Univ., Ames, IA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V); USDOE
OSTI Identifier:
1474658
Alternate Identifier(s):
OSTI ID: 1548903
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Transportation Research Part C: Emerging Technologies
Additional Journal Information:
Journal Volume: 87; Journal ID: ISSN 0968-090X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; electric taxis; battery electric vehicle (BEV) feasibility; spatial-temporal travel patterns; charging infrastructure; GPS data

Citation Formats

Hu, Liang, Dong, Jing, Lin, Zhenhong, and Yang, Jie. Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA. United States: N. p., 2017. Web. doi:10.1016/j.trc.2017.12.017.
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Hu, Liang, Dong, Jing, Lin, Zhenhong, & Yang, Jie. Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA. United States. https://doi.org/10.1016/j.trc.2017.12.017
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Hu, Liang, Dong, Jing, Lin, Zhenhong, and Yang, Jie. Sat . "Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA". United States. https://doi.org/10.1016/j.trc.2017.12.017. https://www.osti.gov/servlets/purl/1474658.
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@article{osti_1474658,
title = {Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA},
author = {Hu, Liang and Dong, Jing and Lin, Zhenhong and Yang, Jie},
abstractNote = {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 study 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. Finally, 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.},
doi = {10.1016/j.trc.2017.12.017},
journal = {Transportation Research Part C: Emerging Technologies},
number = ,
volume = 87,
place = {United States},
year = {Sat Dec 30 00:00:00 EST 2017},
month = {Sat Dec 30 00:00:00 EST 2017}
}
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Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1016/j.trc.2017.12.017
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Citation Metrics:
Cited by: 52 works
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Figures / Tables:

Fig. 1. Fig. 1.: Location of NYC boroughs and airports (NYC TLC 2014).
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    Works referencing / citing this record:

    Experience: Understanding Long-Term Evolving Patterns of Shared Electric Vehicle Networks
    conference, August 2019

    • Wang, Guang; Chen, Xiuyuan; Zhang, Fan
    • MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking
    • DOI: 10.1145/3300061.3300132
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      Figures / Tables found in this record:

      Fig. 1. (p. 5)figure
      Table 1 (p. 6)table
      Table 2 (p. 7)table
      Fig. 2. (p. 10)figure
      Table 3 (p. 10)table
      Fig. 3. (p. 12)figure
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      Fig. 10. (p. 18)figure
      Fig. 9. (p. 18)figure
      Table 4 (p. 19)table
      Table 5 (p. 19)table
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