Optimal fleet replacement management under cap-and-trade system with government subsidy uncertainty

Multimodal Transportation Pub Date : 2023-06-01 DOI:10.1016/j.multra.2023.100077

Liyang Xiao , Jialiang Zhang , Chenghao Wang , Rui Han

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引用次数: 3

Abstract

China has taken a number of positive measures to meet the requirement of environmental protection. The switch to electricity especially in transport sector is considered as a promising way to reducing greenhouse gas (GHG) emissions and facilitating to meet China's carbon neutral target in 2060. Besides, because of the overall impact of the COVID-19 on the transport sector, the future measures imposed by the government on electric vehicles (EVs) remain in high uncertainty. Taking the characteristics of different vehicles, business models, uncertainty of government financial subsidies and environmental factors into consideration, a replacement optimization model for a taxi fleet is proposed in this study under the cap-and-trade system. We assume that the taxi company has four types of vehicles to purchase or lease and manage to maximum the pecuniary advantages and environmental benefits simultaneously. Experimental results analyze that EVs and battery-swap electric vehicles (BSVs) are highly competitive when government subsidies do not decline. During the early stage of the planning horizon, adjusting the fleet continuously and timely can help the company to realizing the maximum revenue.

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具有政府补贴不确定性的总量管制与交易系统下的最优车队更换管理

中国采取了一系列积极措施来满足环境保护的要求。转向电力，尤其是在交通部门，被认为是减少温室气体排放和促进实现中国2060年碳中和的目标的一种很有前途的方式。此外，由于新冠肺炎对交通部门的总体影响，政府对电动汽车（EV）实施的未来措施仍具有高度的不确定性。考虑到不同车辆的特点、商业模式、政府财政补贴的不确定性和环境因素，本文提出了总量管制与交易制度下出租车车队的替代优化模型。我们假设出租车公司有四种类型的车辆可供购买或租赁，并设法同时最大限度地发挥金钱优势和环境效益。实验结果表明，在政府补贴不下降的情况下，电动汽车和电池交换电动汽车具有很强的竞争力。在规划期的早期阶段，持续及时地调整车队可以帮助公司实现收入的最大化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Multimodal Transportation

CiteScore

5.10

自引率

0.00%

发文量