Forecasting Parking Occupancy
Developing a Parking Model Framework Using a Case Study on The Hague
A.J. Ohm (TU Delft - Civil Engineering & Geosciences)
A.J. Pel – Mentor (TU Delft - Transport, Mobility and Logistics)
J.A. Annema – Mentor (TU Delft - Transport and Logistics)
M. Snelder – Graduation committee member (TU Delft - Transport, Mobility and Logistics)
Jim van Hoeckel – Mentor (Antea Group)
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Abstract
One of the challenges municipalities face when trying to prevent parking problems is the difficulty of predicting the effect possible policy implementations will have on the parking occupancies. Therefore, a conceptual model was developed that uses the interactions between parking supply, demand, and choice behaviour to forecast the parking occupancy. In this research, this model is operationalised using existing data and techniques to form an operational model framework. The framework is tested and validated using a case study on the Dutch municipality of The Hague. While there are many ways the model can still be improved and further developed, the framework developed in this thesis shows that the underlying concept is able to accurately describe the balance between parking supply and demand and, from that, predict the resulting parking occupancies. It combines several existing techniques and data sources with some new techniques, providing an initial step to a full parking occupancy model.