Big Data Analysis of Urban Vitality

March 18th - 20th, 10:00 - 05:00

Lyric Theatre, Facing the Stage

Instructors: Dr. Dan Lou, Waishan Qiu, Wenjing Li

The development of digital and physical infrastructure has long been shaping our perception of time, space, and urban life. The recent emergence in technologies, such as autopiloting, big data, digital infrastructures, and urban sensor networks, are constantly challenging our understanding of urban space by blurring the boundaries between the digital and physical world, shaping a different understanding of how the design of urban scape would impact the dynamics of urban life for the pressing future.

This workshop discusses how this shift of subjective perception and human preference and its impact on urban space can be quantitively measured via diving into the depth of ‘big data’. Acknowledging the progress in open-source datasets that quantify the dynamic urban activities, such as Google street view, GIS, Airbnb .etc, instead of the common empirical method in urban analysis, our investigations and research about the grain and fabric of the city start with an effective approach to quantify subjective perception of preference in life style and streetscape with computer vision and machine learning.

During this workshop, we will examine the spatial formation, landscape elements composition, and landscape perception through data mining and data visualization of urban image data. The goal is to challenge the conventional perceptual study in the landscape and urban design process and inspire opportunities for novel quantitative analysis with an evidence-based approach to the design process to capture the shift in the public perception.

Workshop Schedule
18th - 20th March
Duration: 3 days | 5 hours/day
Time: 10:00 am - 5:00 pm India Standard Time (IST)
Mode of Teaching: Online 
10 - 20

Dr. Dan Luo

Dr. Dan Luo

Dr. Dan Luo is a lecturer in University of Queensland, and an architect with strong computer science background. She has a Ph.D. in digital design and fabrication from Tsinghua University School of Architecture (2019), a Master of Architecture from Columbia University (2014) and a Bachelor of Art from The University of Hong Kong (2010). She is currently in process of completing the Master of Computer and Information Technology from the University of Pennsylvania. It is her research vision to utilize emerging technology to enhance our ability to understand, design, and interact with space, information, and material.

Waishan QIU

Waishan QIU

Waishan QIU is an urban researcher, designer, and entrepreneur. His research utilizes spatial analysis, sensing technology and AI to improve mobility, share-ability, and sustainability. He is pursuing a Ph.D. in regional science at Cornell. Prior to Cornell, he obtained an M.C.P.' 17 from MIT, an M.Arch.' 14 with distinction from UCL, and a B.E.' 13 from Tongji University. He has been involved with various data-driven research and smart city projects across the world in places like Saudi Arabia, the United Arab Emirates, the U.S., and China. His previous lab experiences include the MIT Senseable City Lab, the MIT Center for Advanced Urbanism, the MIT STL Real Estate Entrepreneurship Lab, and Harvard Evidence for Policy Design.

Wenjing Li

Wenjing Li

Wenjing Li is currently pursuing an M.S. degree in the Graduate school of Frontier Sciences, the University of Tokyo. She is also a member of the Center for Spatial Information Science, the University of Tokyo, where she participated in several researches on spatial analysis and urban computing.