Energy and environmental impacts of shared autonomous vehicles under different pricing strategies

IF 9.1 Q1 ENVIRONMENTAL STUDIES
Shaopeng Zhong, Ao Liu, Yu Jiang, Simon Hu, Feng Xiao, Hai-Jun Huang, Yan Song
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引用次数: 3

Abstract

The introduction of vehicle automation, shared mobility, and vehicle electrification will bring about changes in urban transportation, land use, energy, and the environment. The accurate estimation of these effects is therefore essential for sustainable urban development. However, existing research on estimating the energy and environmental effects of shared autonomous electric vehicles generally ignores the interaction between land-use and transportation systems. This study, therefore, analyzes the long-term effects of shared autonomous vehicles (SAVs) from the perspective of land use and transportation integration. Different SAV pricing scenarios are also developed to explore the optimal pricing strategy for low carbon–oriented SAVs. Moreover, the study has further assessed the effect of vehicle electrification on vehicle emissions and energy consumption. The results have shown a nonlinear relationship between SAV fares and their transportation, land-use, energy, and environmental effects. Under an appropriate pricing strategy, SAV deployment could reduce PM2.5 emission and energy consumption by 56–64% and 53–61%, respectively. With the further introduction of vehicle electrification, these can rise to 76% and 74%.

Abstract Image

不同定价策略下共享自动驾驶汽车的能源和环境影响
车辆自动化、共享交通和车辆电气化的引入将给城市交通、土地利用、能源和环境带来变化。因此,准确估算这些影响对于城市的可持续发展至关重要。然而,现有研究在估算共享自主电动汽车对能源和环境的影响时,普遍忽视了土地使用和交通系统之间的相互作用。因此,本研究从土地使用和交通一体化的角度分析了共享自动驾驶汽车(SAV)的长期影响。研究还制定了不同的共享自动驾驶汽车定价方案,以探索低碳导向的共享自动驾驶汽车的最佳定价策略。此外,研究还进一步评估了车辆电气化对车辆排放和能耗的影响。研究结果表明,SAV 票价与其运输、土地使用、能源和环境影响之间存在非线性关系。在适当的定价策略下,SAV 的部署可使 PM2.5 排放量和能源消耗分别减少 56-64% 和 53-61%。随着汽车电气化的进一步引入,这两项指标可上升至 76% 和 74%。
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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