A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts

Yuche Chen; Stanley Young; Jeffrey Gonder; Xuewei Qi

doi:10.1007/978-3-319-60934-8_11

A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts

Yuche Chen, Stanley Young, Jeffrey Gonder, Xuewei Qi

Center for Integrated Mobility Sciences

University of California, Riverside

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus Citations

Abstract

A first of its kind, this study develops a framework to quantify the fuel consumption and greenhouse gas emission impacts of an Automated Small Vehicle Transit system on a campus area. The results show that the automated mobility district system has the potential to reduce transportation system fuel consumption and greenhouse gas emissions, but the benefits are largely dependent on the operation and ridership of the personal rapid transit system. Our study calls for more research to understand the energy and environmental benefits of such a system.

Original language	American English
Title of host publication	Road Vehicle Automation 4
Subtitle of host publication	Lecture Notes in Mobility
Editors	G. Meyer, S. Beiker
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	113-123
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-319-60934-8_11 https://doi.org/10.1007/978-3-319-60934-8_11
State	Published - 2018

Publication series

Name	Lecture Notes in Mobility
ISSN (Print)	2196-5544
ISSN (Electronic)	2196-5552

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG.

NREL Publication Number

NREL/CH-5400-68420

Keywords

Automated mobility district
Benefits analysis
Energy and emissions inventory

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Chen, Y., Young, S., Gonder, J., & Qi, X. (2018). A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts. In G. Meyer, & S. Beiker (Eds.), Road Vehicle Automation 4: Lecture Notes in Mobility (pp. 113-123). (Lecture Notes in Mobility). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-60934-8_11, https://doi.org/10.1007/978-3-319-60934-8_11

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Chen, Y, Young, S , Gonder, J & Qi, X 2018, A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts. in G Meyer & S Beiker (eds), Road Vehicle Automation 4: Lecture Notes in Mobility. Lecture Notes in Mobility, Springer Science and Business Media Deutschland GmbH, pp. 113-123. https://doi.org/10.1007/978-3-319-60934-8_11, https://doi.org/10.1007/978-3-319-60934-8_11

A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts. / Chen, Yuche; Young, Stanley ; Gonder, Jeffrey et al.
Road Vehicle Automation 4: Lecture Notes in Mobility. ed. / G. Meyer; S. Beiker. Springer Science and Business Media Deutschland GmbH, 2018. p. 113-123 (Lecture Notes in Mobility).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Gonder, Jeffrey

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N2 - A first of its kind, this study develops a framework to quantify the fuel consumption and greenhouse gas emission impacts of an Automated Small Vehicle Transit system on a campus area. The results show that the automated mobility district system has the potential to reduce transportation system fuel consumption and greenhouse gas emissions, but the benefits are largely dependent on the operation and ridership of the personal rapid transit system. Our study calls for more research to understand the energy and environmental benefits of such a system.

AB - A first of its kind, this study develops a framework to quantify the fuel consumption and greenhouse gas emission impacts of an Automated Small Vehicle Transit system on a campus area. The results show that the automated mobility district system has the potential to reduce transportation system fuel consumption and greenhouse gas emissions, but the benefits are largely dependent on the operation and ridership of the personal rapid transit system. Our study calls for more research to understand the energy and environmental benefits of such a system.

KW - Automated mobility district

KW - Benefits analysis

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Chen Y, Young S , Gonder J, Qi X. A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts. In Meyer G, Beiker S, editors, Road Vehicle Automation 4: Lecture Notes in Mobility. Springer Science and Business Media Deutschland GmbH. 2018. p. 113-123. (Lecture Notes in Mobility). doi: 10.1007/978-3-319-60934-8_11, 10.1007/978-3-319-60934-8_11

A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts

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