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Energy and environmental impacts of shared autonomous vehicles under different pricing strategies

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Energy and environmental impacts of shared autonomous vehicles under different pricing strategies. / Zhong, Shaopeng; Liu, Ao; Jiang, Yu et al.
In: npj Urban Sustainability, Vol. 3, No. 1, 8, 25.02.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Zhong, S, Liu, A, Jiang, Y, Hu, S, Xiao, F, Huang, H-J & Song, Y 2023, 'Energy and environmental impacts of shared autonomous vehicles under different pricing strategies', npj Urban Sustainability, vol. 3, no. 1, 8. https://doi.org/10.1038/s42949-023-00092-2

APA

Zhong, S., Liu, A., Jiang, Y., Hu, S., Xiao, F., Huang, H.-J., & Song, Y. (2023). Energy and environmental impacts of shared autonomous vehicles under different pricing strategies. npj Urban Sustainability, 3(1), Article 8. https://doi.org/10.1038/s42949-023-00092-2

Vancouver

Zhong S, Liu A, Jiang Y, Hu S, Xiao F, Huang HJ et al. Energy and environmental impacts of shared autonomous vehicles under different pricing strategies. npj Urban Sustainability. 2023 Feb 25;3(1):8. doi: 10.1038/s42949-023-00092-2

Author

Zhong, Shaopeng ; Liu, Ao ; Jiang, Yu et al. / Energy and environmental impacts of shared autonomous vehicles under different pricing strategies. In: npj Urban Sustainability. 2023 ; Vol. 3, No. 1.

Bibtex

@article{6f4e793db8b44dfda2adc71434016530,
title = "Energy and environmental impacts of shared autonomous vehicles under different pricing strategies",
abstract = "The introduction of vehicle automation, shared mobility, and vehicle electrification will bring about changes in urban transportation, land use, energy, and the environment. The accurate estimation of these effects is therefore essential for sustainable urban development. However, existing research on estimating the energy and environmental effects of shared autonomous electric vehicles generally ignores the interaction between land-use and transportation systems. This study, therefore, analyzes the long-term effects of shared autonomous vehicles (SAVs) from the perspective of land use and transportation integration. Different SAV pricing scenarios are also developed to explore the optimal pricing strategy for low carbon–oriented SAVs. Moreover, the study has further assessed the effect of vehicle electrification on vehicle emissions and energy consumption. The results have shown a nonlinear relationship between SAV fares and their transportation, land-use, energy, and environmental effects. Under an appropriate pricing strategy, SAV deployment could reduce PM2.5 emission and energy consumption by 56–64% and 53–61%, respectively. With the further introduction of vehicle electrification, these can rise to 76% and 74%.",
keywords = "Article, /704/844/685, /704/844/4081, article",
author = "Shaopeng Zhong and Ao Liu and Yu Jiang and Simon Hu and Feng Xiao and Hai-Jun Huang and Yan Song",
year = "2023",
month = feb,
day = "25",
doi = "10.1038/s42949-023-00092-2",
language = "English",
volume = "3",
journal = "npj Urban Sustainability",
issn = "2661-8001",
publisher = "Nature Publishing Group UK",
number = "1",

}

RIS

TY - JOUR

T1 - Energy and environmental impacts of shared autonomous vehicles under different pricing strategies

AU - Zhong, Shaopeng

AU - Liu, Ao

AU - Jiang, Yu

AU - Hu, Simon

AU - Xiao, Feng

AU - Huang, Hai-Jun

AU - Song, Yan

PY - 2023/2/25

Y1 - 2023/2/25

N2 - The introduction of vehicle automation, shared mobility, and vehicle electrification will bring about changes in urban transportation, land use, energy, and the environment. The accurate estimation of these effects is therefore essential for sustainable urban development. However, existing research on estimating the energy and environmental effects of shared autonomous electric vehicles generally ignores the interaction between land-use and transportation systems. This study, therefore, analyzes the long-term effects of shared autonomous vehicles (SAVs) from the perspective of land use and transportation integration. Different SAV pricing scenarios are also developed to explore the optimal pricing strategy for low carbon–oriented SAVs. Moreover, the study has further assessed the effect of vehicle electrification on vehicle emissions and energy consumption. The results have shown a nonlinear relationship between SAV fares and their transportation, land-use, energy, and environmental effects. Under an appropriate pricing strategy, SAV deployment could reduce PM2.5 emission and energy consumption by 56–64% and 53–61%, respectively. With the further introduction of vehicle electrification, these can rise to 76% and 74%.

AB - The introduction of vehicle automation, shared mobility, and vehicle electrification will bring about changes in urban transportation, land use, energy, and the environment. The accurate estimation of these effects is therefore essential for sustainable urban development. However, existing research on estimating the energy and environmental effects of shared autonomous electric vehicles generally ignores the interaction between land-use and transportation systems. This study, therefore, analyzes the long-term effects of shared autonomous vehicles (SAVs) from the perspective of land use and transportation integration. Different SAV pricing scenarios are also developed to explore the optimal pricing strategy for low carbon–oriented SAVs. Moreover, the study has further assessed the effect of vehicle electrification on vehicle emissions and energy consumption. The results have shown a nonlinear relationship between SAV fares and their transportation, land-use, energy, and environmental effects. Under an appropriate pricing strategy, SAV deployment could reduce PM2.5 emission and energy consumption by 56–64% and 53–61%, respectively. With the further introduction of vehicle electrification, these can rise to 76% and 74%.

KW - Article

KW - /704/844/685

KW - /704/844/4081

KW - article

U2 - 10.1038/s42949-023-00092-2

DO - 10.1038/s42949-023-00092-2

M3 - Journal article

VL - 3

JO - npj Urban Sustainability

JF - npj Urban Sustainability

SN - 2661-8001

IS - 1

M1 - 8

ER -