Lecture Summary

Artificial intelligence (AI) is rapidly emerging as a key technology that is transforming and reshaping the field of urban planning. However, there are still some outstanding questions regarding the potential impact of AI on urban and regional planning research and practice, the issues involved, and appropriate responses and plans. This paper aims to answer these questions in the AI-empowered urban planning process, and accordingly create a classification system for urban planning AI to classify and outline the future development of AI in urban planning, and divide urban planning AI into AI-assisted, AI-enhanced, AI-automated, and finally AI-autonomous planning.

Lecturer Introduction

Zhongren Peng is a tenured professor in the Department of Urban and Regional Planning at the University of Florida, director of the International Research Center for Climate Adaptive Planning and Design (iAdapt), a top 1% scientist in the field of Google Scholar planning, a nonresident senior fellow at the Atlantic Council's GeoTech Center, and a member of the Transportation Geographic Information Science Committee and the Public Transportation Planning and Management Committee of the Transportation Research Council of the American Academy of Sciences, Senior Advisor of the National Natural Science Foundation of China, Editorial Board Member of the American Journal of Intelligent Transportation. His main research areas are transportation planning and management, climate change adaptation planning, urban planning and artificial intelligence. At present, he has published 178 papers, of which 56 are highly cited papers and 2 monographs.