Big Data Analysis of Urban Vitality
March 18th - 20th, 10:00 - 05:00
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
Date: 18th - 20th March
Duration: 3 days | 5 hours/day
Time: 10:00 am - 5:00 pm India Standard Time (IST)
Mode of Teaching: Online
Intake: 10 - 20
