Journal of South China University of Technology(Natural Science) >
Review of Multi-Level Urban Impacts of Shared Autonomous Vehicles
Received date: 2024-03-13
Online published: 2024-12-02
Supported by
the National Natural Science Foundation of China(71971038);the Key R & D Program of Shandong Province(2023CXPT005);the Sub-Project of the Major Consulting Research Project of the Chinese Academy of Engineering(2023-JB-10-04)
To gain a deeper understanding of the potential impacts of Shared Autonomous Vehicles (SAVs) on urban and promote the sustainable development of urban transportation systems, this paper conducted a comprehensive review and systematic analysis of the multi-level impacts of SAVs. The aim is to summarize the main contributions and shortcomings of previous studies and propose possible directions for future research. The review findings indicate that existing studies primarily focus on the short-term impacts of SAVs on the transportation system, including residents’ travel behavior and road traffic flow. However, there is relatively little research on the long-term impacts of SAVs, particularly concerning urban accessibility, environment, and energy. While some studies have revealed potential negative effects of SAVs, such as adverse impacts on the environment or accessibility, few have proposed targeted and effective development strategies. Additionally, in terms of methods, existing studies mainly rely on qualitative analysis or independent transportation demand models for projections and simulations, which have certain limitations regarding the reliability of the results. Future research should focus on developing integrated land use and transportation models combined with data-driven approaches to more precisely, comprehensively, and systematically characterize the long-term (negative) impacts of introducing SAVs on urban land use, the environment, and energy consumption. Additionally, targeted development strategies and responsive measures should be proposed to optimize the effectiveness of SAV deployment, mitigate potential adverse effects, and promote the evolution of urban transportation systems toward greater efficiency, intelligence, and sustainability.
ZHONG Shaopeng , LIU Ao , ZHAI Junnuo , FAN Meihan , LI Xiyao , LIN Yuan , LI Zhenhua . Review of Multi-Level Urban Impacts of Shared Autonomous Vehicles[J]. Journal of South China University of Technology(Natural Science), 2025 , 53(6) : 104 -118 . DOI: 10.12141/j.issn.1000-565X.240119
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