Track: Type E (Late-Breaking Abstracts)
Keywords: Urban mobility, Agent-based mobility, Network topology, Network-based Framework
Abstract: Urban mobility arises from the interplay between the structure of transport networks and the behavioral dynamics of their users. Understanding this relationship is key to developing realistic and transferable models of movement. This work proposes a network-based framework that links the topology of a city’s road network with the functional patterns of real taxi flows. Using New York City as a case study, we examine how network geometry, travel times, and clusters structure shape observed mobility, and how these insights can inform the design of topology-aware agent-based models. Such agents are essential for studying alternative mobility scenarios, such as car-sharing or demand-responsive transport, in cities where empirical trip data are limited or unavailable.
Submission Number: 89
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