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Explores challenges in urban transport, from declining public services to formalizing informal transport, emphasizing the balance between profitability and public service.
Examines the evolution of transport behavior in Santiago de Chile post-introduction of a new public transport system, emphasizing the challenges faced and the social impact of the changes.
Explores computing density of states and Bayesian inference using importance sampling, showcasing lower variance and parallelizability of the proposed method.
