Abstract
With the development of computer technology, especially the comprehensive popularization of the Internet of things and mobile terminal, milestone changes have taken place in data production, data transmission, and data analysis, marking the arrival of the Big Data Era. At the same time, the popularity of digital social medias such as Facebook(2004), Twitter (2006), WeChat(2011), and online payment platforms such as PayPal(1999) and Alipay(2004) have promoted the radical change of human social activities, shopping, working and travel methods, and been completely digitized, algorithmized, and computerized. City, as the physical representation and space container of human society, will inevitable change with the transformation of human society, that is, the digitization, algorithmization, and computerization of urban form and urban planning theory and planning method. Therefore, the systematic study of the coupling relationship of cognitive mode between digital media space and real urban space has important theoretical value and practical significance for the urban planning discipline development in the Big Data Era. This paper takes Harbin, China as the specific research object to discuss the computational transformation of urban planning discipline in the Big Data Era. The main research contents as following: Frist, the study of digital media space pattern, with Python language, systematically collect data from commonly used digital media platforms such as WeChat Moments, Ctrip, Dianping, ect., and then use data mining methods to explore the methods and models of cognitive of the digital media space; Secondly, the study of real urban space pattern, using field surveys, interviews, etc., to explore the methods and models of cognitive of the real urban space under the face-to-face social interaction by drawing cognitive map. Thirdly, the coupling analysis of digital media space and real urban space, through the coupling analysis of the similarities and differences between digital media space and real urban space cognitive patterns, discussing the trends and motivations of urban space evolution in the Big Data Era, and the innovative patterns and approaches of urban planning and planning method, and then providing theoretical support for the computational transformation of the urban planning discipline in the Big Data Era, to better respond to the needs of the digital transformation of human society, and realize the common ideal of “Better city, better life”.
