This lecture will explain the role of data science in urban planning. The course targets issues and places closely related to daily life, such as visualisation of issues from population and land use, development of residential areas with good living environments, understanding the impact of COVID-19 from human flow data, and regeneration of housing estates in ageing estates, and analyses of the current situation through field research and interview surveys, organisation of issues in urban planning systems, etc., social verification through experiments, and urban development proposals will be introduced.
Data ScienceIntroduction：Urban planning and data science
Outline
Profile
- Sayaka Fujii Faculty of Engineering, Information and Systems
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Graduated from the University of Tsukuba with a Bachelor's degree in Social Engineering.
Withdrew with credits from the Doctoral Course in Urban Engineering, Graduate School of Engineering, The University of Tokyo.
Formerly a JSPS Research Fellow (PD), lecturer at the Graduate School of Systems and Information Engineering, University of Tsukuba, and visiting lecturer at the Department of Scarborough Human Geography, University of Toronto, before assuming her current position. PhD (Engineering). Specialised in urban planning, town planning and living environment development. Author of Compact Cities Around the World: How and Why Cities Shrink Wisely, Neoliberal Cities and Social Inequalities, etc.