Exploring the Spatial and Temporal Patterns in Travel Demand
A Data-Driven Approach
Z. Eftekhar (TU Delft - Transport and Planning)
J.W.C. van Lint – Promotor (TU Delft - Transport and Planning)
A. J. Pel – Promotor (TU Delft - Transport and Planning)
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Abstract
Urban mobility systems are intrinsically complex, requiring robust data-driven insights for effective planning. This thesis uses GSM mobile phone data to examine how data quality, spatio-temporal resolution, and socio-spatial factors influence travel demand in metropolitan networks. By linking land-use and demographic attributes to trip production patterns, it offers valuable guidance for tailoring transportation policies to local needs, ultimately fostering more efficient and responsive transport systems.