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Hao et al. Carbon Footprints 2024;3:15                            Carbon Footprints
               DOI: 10.20517/cf.2024.24



               Original Article                                                              Open Access



               Electrification pathways for light-duty logistics

               vehicles based on perceived cost of ownership in
               Northern China


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                                                 1
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               Xu Hao , Deyu Zhou , Ruiheng Zhong , Shunxi Li , Xianming Meng , Bo Liu 1
               1
                School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
               2
                School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China.
               3
                School of Automotive Engineering, Wuhan University of Science and Technology, Wuhan 430070, Hubei, China.
               4
                China Automotive Technology and Research Center Co., Ltd., Tianjin 300300, China.
               #
                Authors contributed equally and should be considered co-first authors.
               Correspondence to: Prof. Bo Liu, School of Mechanical Engineering, University of Science and Technology Beijing, 30 Xueyuan
               Road, Haidian District, Beijing 100083, China. E-mail: liubo1@ustb.edu.cn
               How to cite this article: Hao X, Zhou D, Zhong R, Li S, Meng X, Liu B. Electrification pathways for light-duty logistics vehicles
               based on perceived cost of ownership in Northern China. Carbon Footprints 2024;3:15. https://dx.doi.org/10.20517/cf.2024.24
               Received: 5 Aug 2024  First Decision: 8 Oct 2024  Revised: 22 Oct 2024  Accepted: 25 Oct 2024  Published: 31 Oct 2024
               Academic Editor: Feng Dong  Copy Editor: Fangling Lan  Production Editor: Fangling Lan
               Abstract
               Urban decarbonization and environmental mitigation necessitate the electrification of light-duty logistics vehicles
               (LDLVs), including battery electric, plug-in hybrid, and hydrogen fuel cell variants. Although the market uptake of
               electric LDLVs is ecologically imperative, it is impeded by range anxiety and charging infrastructure limitations,
               particularly pronounced in Northern China’s cold climates. This paper employs a system dynamics model to assess
               the Perceived Cost of Ownership of electric LDLVs, integrating both direct expenses - initial investment and energy
               costs - and indirect factors like energy replenishment, vehicle substitution, and lifecycle carbon emissions. This
               analysis reveals that, notwithstanding higher upfront costs, electric LDLVs offer substantial economic and
               environmental advantages, with significant energy and maintenance savings projected by 2030 under various
               electrification scenarios. This paper predicts that policy incentives, electricity pricing, and technological progress
               will significantly influence the market dynamics and industry output of new energy vehicles in Northern China.
               Notably,  the  findings  indicate  that  by  2030,  electric  LDLVs  could  achieve  substantial  cost  savings  and
               environmental benefits, with market penetration and industry output contingent on the interplay of policy support
               and technological advancements. The baseline scenario forecasts a 48.17% market share and CNY 60.015 billion in
               industry output, whereas the high-speed electrification scenario projects the most optimistic outcomes, with a
               75.29% market share and CNY 306.087 billion in output.

               Keywords: Electrification of logistics vehicles, economic analysis, sustainable urban logistics, Northern China,
               climate impact, system dynamics model, perceived cost of ownership



                           © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
               indicate if changes were made.

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