Smart Street Design Trends Under the Interactive Influence of Autonomous Driving and Street Space Development
YANG Liu, LIANG Yue, ZHANG Songan, BAI Jie
Abstract：
The autonomous driving technology is rapidly advancing, which is becoming a significant driving force for future cities. It will profoundly transform urban environments and daily life, with the potential to contribute to the achievement of the “carbon peaking and carbon neutrality goals”. This study systematically reviews the latest researches on urban planning responses to autonomous driving, enriching the three-tier impact model of autonomous driving. On this basis, we focus on urban street spaces, review the interactive evolvement between street design theories and autonomous driving technologies. Through the case study method, the interactive relationship between street space design and the development of autonomous driving technology is explored. Based on this, we provide design recommendations for different types of urban streets in response to autonomous driving, including commercial, residential, and industrial areas, and intercity roads. Finaly, to address potential negative impacts of autonomous driving technology, the paper also suggests proactive measures such as formulating land use policies, encouraging shared autonomous vehicles, managing parking demand, improving road safety, and addressing data privacy and legal responsibilities.