This paper provides a systematic overview of digital planning technology,in particular,its scope,types,frontier trends,and main obstacles viewed through a data and knowledge-driven technological paradigm.Firstly,it distinguishes between the two concepts of digital technology and digital planning technology.Secondly,it summarizes two technological paradigms,driven by knowledge and data respectively,based on an overview of the evolutionary paths of three types of digital planning technologies:urban modeling technology,spatial-temporal big data planning technol-ogy,and artificial intelligence planning technology.Lastly,the paper discusses fron-tier trends in digital planning technologies from the perspectives of data and knowl-edge.It is concluded that digital planning technologies can be understood as digital applications in planning analysis,simulation,and decision-making throughout the planning processes.The specific application is determined by either the data-or knowledge-driven paradigms.While the former better supports planning analysis and simulation,deficiencies in the latter hinder decision-making.Future digital planning technologies are expected to be driven by both data and knowledge.The challenge lies in the transition from data to knowledge through data-based learning,extracting the"white-box knowledge"in planning,and allowing knowledge to drive analysis,simulation,and decision-making in planning.
digital planning technologydigital technologydata-drivenknowledge-driventechnological paradigm
万方数据
维普
