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Center for Nonlinear Studies |
More than half of the world population now lives in cities and this number is expected to further increase in the near future. This trend of global urbanization is making it important to develop sustainable urban planning policies and to build efficient urban infrastructures. However, conventional approaches in urban planning typically rely on anecdotal argumentation or survey-based methods that may be insufficient to gain the needed understanding of our rapidly growing cities. This talk will discuss the usage of new data sources that are unprecedented in terms of timeliness and resolution (e.g. mobile phone data), thus providing new quantitative insights into the complex organization of cities. More specifically, I will show how these data allow capturing the spatio-temporal population distribution and people flows in urban regions. Furthermore, I will discuss how new data-driven models can be developed that allow for a more precise quantification of infrastructure service demands. These bottom-up models shall help to improve the efficiency and resilience of urban infrastructure networks.
Host: Andrey Lokhov