The Promise and Perils of AI and Big Data in the City October 29, 2019 Martino Tran PhD Principle Investigator, Urban Predictive Analytics Lab Assistant Professor, School of Community & Regional Planning, UBC 1
The rise of cities Urban population centres 1950 and 2025 (IPCC, 2014) 2
Climate change has massive societal consequences IPCC, 2007
Urbanization and GDP M. Roser 2018, OWID 4
Modelling infrastructure interdependency and risk: transport energy demand Tran et al. 2016 in Quantifying interdependencies, Chapter 11 in Future infrastructure: a system-of- systems approach (eds. JW Hall et al.), Cambridge University Press.
Large-scale electrification impacts on peak demand Tran et al. 2016 in Quantifying interdependencies, Chapter 11 in Future infrastructure: a system-of- systems approach (eds. JW Hall et al.), Cambridge University Press.
Multi-attribute performance metrics for infrastructure scenarios Tran et al. 2016 in Quantifying interdependencies, Chapter 11 in Future infrastructure: a system-of- systems approach (eds. JW Hall et al.), Cambridge University Press.
General accessibility for an urban population Future access to essential services for vulnerable populations in a growing smart city: The case of Surrey, BC (Mayaud JR, Tran M et al. 2019) Computers, Environment and Urban Systems 73, 1 – 15. 8
What about vulnerable populations? Forecasting demographic change for seniors and youth Future access to essential services for vulnerable populations in a growing smart city: The case of Surrey, BC (Mayaud JR, Tran M et al. 2019) Computers, Environment and Urban Systems 73, 1 – 15. 9
Forecasting change in low and medium income households Future access to essential services for vulnerable populations in a growing smart city: The case of Surrey, BC (Mayaud JR, Tran M et al. 2019) 1 Computers, Environment and Urban Systems 73, 1 – 15. 0
The perils… From individual privacy to the public concern 1 1
Thank you, questions? Martino.tran@ubc.ca www.urbanpredictiveanalytics.com 1 2
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