Future Directions in Human Mobility Science

Abstract

We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to better understand how spatial cognition shapes mobility patterns. We then move to societies and argue the importance of better understanding new forms of transportation. We conclude by discussing how algorithms shape mobility behaviour and provide useful tools for modellers. Finally, we discuss how progress in these research directions may help us address some of the challenges our society faces today.

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Cited by in corpus (8)

• Urban highways are barriers to social ties
• Dynamic models of gentrification
• Bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide
• System optimality versus self-organization in metro networks: An optimal transport analysis
• Scaling law of individual urban tour behavior
• Entropy-Driven Curriculum for Multi-Task Training in Human Mobility Prediction
• Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Models
• The traffic concentration effects of urban navigation services