40 citations · 56 across the 4 of their papers we have counts for
5 papers
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?
Qingyi Wang, Shenhao Wang, Yunhan Zheng +4
Classical demand modeling analyzes travel behavior using only low-dimensional numeric data (i.e. sociodemographics and travel attributes) but not high-dimensional urban imagery. Ho…
Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic
Xiao Zhou, Xiaohu Zhang, Paolo Santi +1
Given multiple new COVID-19 variants are continuously emerging, non-pharmaceutical interventions are still primary control strategies to curb the further spread of coronavirus. How…
Simulating and Evaluating Rebalancing Strategies for Dockless Bike-Sharing Systems
Damian Barabonkov, Samantha D'Alonzo, Joseph Pierre +3
Following the growth of dock-based bike sharing systems as an eco-friendly solution for transportation in urban areas, Dockless systems are revolutionizing the market for the incre…
Estimating the potential for shared autonomous scooters
Dániel Kondor, Xiaohu Zhang, Malika Meghjani +3
Recent technological developments have shown significant potential for transforming urban mobility. Considering first- and last-mile travel and short trips, the rapid adoption of d…
Addressing the "minimum parking" problem for on-demand mobility
Daniel Kondor, Paolo Santi, Diem-Trinh Le +3
Parking infrastructure is pervasive and occupies large swaths of land in cities. However, on-demand (OD) mobility -- such as commercial services Uber, Grab or Didi -- has started r…