Adding new modes to existing transport demand gravity models
Methodology for adding disaggregate discrete choice parameters to an aggregate gravity model
R.J. van Kuijk (TU Delft - Technology, Policy and Management)
B. van van Arem – Mentor
R van Nes – Mentor
Sander Van Cranenburgh – Mentor
L.J.N. Brederode – Mentor
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Abstract
This thesis describes a methodology for adding information about the preferences for new modes from external discrete choice models to exisiting transport demand gravity models. The methodology consists of 4 steps: (i) translation of deterrence functions towards discrete choice utility functions; (ii) linearization of non-linear translated utility functions, (iii) determination of factors to correct the scale of external models and (iv) the specification of the combined model. The thesis provides a case study related to "Urban Mobility as a Service" for the Eindhoven-Veldhoven area to show the practical validity of this methodology.