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大气排放外部性对最优网约车车队电气化和运营的影响。

Effects of Air Emission Externalities on Optimal Ridesourcing Fleet Electrification and Operations.

机构信息

Department of Engineering & Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.

Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.

出版信息

Environ Sci Technol. 2021 Mar 2;55(5):3188-3200. doi: 10.1021/acs.est.0c05141. Epub 2021 Feb 18.

DOI:10.1021/acs.est.0c05141
PMID:33601882
Abstract

Ridesourcing services from transportation network companies, like Uber and Lyft, serve the fastest growing share of U.S. passenger travel demand. Ridesourcing vehicles' high use intensity is economically attractive for electric vehicles, which typically have lower operating costs and higher capital costs than conventional vehicles. We optimize fleet composition (mix of conventional vehicles (CVs), hybrid electric vehicles (HEVs), and battery electric vehicles (BEVs)) and operations to satisfy demand at minimum cost and compare findings across a wide range of present-day and future scenarios for three cities. In nearly all cases, the optimal fleet includes a mix of technologies, HEVs and BEVs make up the majority of distance traveled, and CVs are used primarily for periods of peak demand (if at all). When life cycle air pollution and greenhouse gas emission externalities are internalized via a Pigovian tax, fleet electrification increases and externalities decrease, suggesting a role for policy. Externality reductions vary from 10% in New York (where externality costs for both gasoline and electricity consumption are relatively high and a Pigovian tax induces a partial shift to BEVs), to 22% in Los Angeles (where high gasoline and low electric grid externalities lead a Pigovian tax to induce a near-complete shift to BEVs).

摘要

交通网络公司(如优步和来福车)提供的叫车服务满足了美国乘客出行需求中增长最快的部分。叫车车辆的高使用强度对电动汽车具有经济吸引力,因为电动汽车的运营成本通常低于传统车辆,而资本成本则高于传统车辆。我们优化车队构成(传统车辆(CVs)、混合动力电动汽车(HEVs)和电池电动汽车(BEVs)的混合)和运营,以最低成本满足需求,并在三个城市的各种当前和未来情景下比较发现。在几乎所有情况下,最优车队都包含技术组合,HEVs 和 BEVs 构成了大部分行驶里程,CVs 主要用于需求高峰期(如果使用的话)。当通过庇古税内化生命周期空气污染和温室气体排放的外部性时,车队电气化程度增加,外部性降低,这表明政策发挥了作用。外部性降低幅度从纽约的 10%(那里汽油和电力消耗的外部性成本相对较高,庇古税导致部分转向 BEVs)到洛杉矶的 22%(那里汽油成本高而电网外部性低,导致庇古税导致几乎完全转向 BEVs)不等。

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