The Urban Systems Engineering Lab (USE-Lab) aims to develop a people-centric, quantitative, and predictive understanding of the bottom-up organization of cities and use these insights to improve the efficiency and resilience of urban infrastructures. To that end, we apply and further develop computational tools from Urban Analytics, AI, and Complexity Science.
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Using optimal transport theory and mobility data from Singapore’s MRT system, we show that urban travel patterns are shaped more by the collective decisions of travelers than by centrally optimized routing, emphasizing the role of self-organization in the design of efficient and people-centric transit systems.
Markus Schläpfer introduced the Out-of-Equilibrium City — the problem that our predictions of urban life rest on observing cities as they are, while the infrastructure decisions that matter most are the ones that deliberately change them.
Our paper "Decentralized electric vehicle charging enables large-scale photovoltaics integration in tropical cities" has been accepted for publication in Nature Communications.