15 citations · 18 across the 8 of their papers we have counts for
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cs.SI2020★ 1 cited
Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks
Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni +2
A fundamental problem of interest to policy makers, urban planners, and other stakeholders involved in urban development projects is assessing the impact of planning and constructi…
cs.SI2020★ 15 cited
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown
Pietro Bonato, Paolo Cintia, Francesco Fabbri +12
Understanding collective mobility patterns is crucial to plan the restart of production and economic activities, which are currently put in stand-by to fight the diffusion of the e…