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

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.

Authors:
 [1];  [1];  [1];  [2]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  2. University of California Riverside
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1406183
Report Number(s):
NREL/CH-5400-68420
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Book
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; automated mobility district; energy and emissions inventory; benefits analysis

Citation Formats

Chen, Yuche, Young, Stanley E, Gonder, Jeffrey D, and Qi, Xuewei. A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts. United States: N. p., 2017. Web. doi:10.1007/978-3-319-60934-8_11.
Chen, Yuche, Young, Stanley E, Gonder, Jeffrey D, & Qi, Xuewei. A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts. United States. doi:10.1007/978-3-319-60934-8_11.
Chen, Yuche, Young, Stanley E, Gonder, Jeffrey D, and Qi, Xuewei. Mon . "A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts". United States. doi:10.1007/978-3-319-60934-8_11.
@article{osti_1406183,
title = {A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts},
author = {Chen, Yuche and Young, Stanley E and Gonder, Jeffrey D and Qi, Xuewei},
abstractNote = {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.},
doi = {10.1007/978-3-319-60934-8_11},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {6}
}

Book:
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