90 citations · 314 across the 20 of their papers we have counts for
20 papers
Latent patterns of urban mixing in mobility analysis across five global cities
Z. Fan, B. P. Y. Loo, F. Duarte +2
This study leverages large-scale travel surveys for over 200,000 residents across Boston, Chicago, Hong Kong, London, and Sao Paulo. With rich individual-level data, we make system…
Urban mobility network centrality predicts social resilience
Lin Chen, Fengli Xu, Esteban Moro +3
Cities thrive on social interactions that foster well-being, innovation, and prosperity; yet, exogenous shocks such as pandemics, hurricanes, and wildfires can severely disrupt the…
Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space
Guangyuan Weng, Minsuk Kim, Yong-Yeol Ahn +1
Human mobility in cities is shaped not only by visible structures such as highways, rivers, and parks but also by invisible barriers rooted in socioeconomic segregation, uneven acc…
Are machine learning technologies ready to be used for humanitarian work and development?
Vedran Sekara, Márton Karsai, Esteban Moro +6
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to mo…
Longitudinal Complex Dynamics of Labour Markets Reveal Increasing Polarisation
Shahad Althobaiti, Ahmad Alabdulkareem, Judy Hanwen Shen +4
In this paper we conduct a longitudinal analysis of the structure of labour markets in the US over 7 decades of technological, economic and policy change. We make use of network sc…
Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy
Alex Berke, Ronan Doorley, Kent Larson +1
Location data collected from mobile devices represent mobility behaviors at individual and societal levels. These data have important applications ranging from transportation plann…