Multimodal journey planners tend to develop in cities so as to help a traveller to choose the most appropriate mode or modal combination according to the foreseen journey. However, multimodal journey planners do seldom take into account the time needed to park a car whereas it includes waiting and transfer times for public transport. This results in an underestimation of car travel time favouring this mode when compared to others such as public transport. In literature, car parking is mostly seen in a strategic point of view, dealing with the impacts assessment of parking policies. There is little knowledge about modelling the user's behaviour and the time needed to park a car. Axhausenet al. (1994) have experimented modelling off-street parking search time in Frankfurt. The model appears robust, but it has not been experimented for on-street parking. Therefore, the focus of this paper is on modelling on-street parking search time. The modelling starts from Axhausen'sproposal for off-street parking, but specificities of on-street parking allow for taking into account several models to estimate on-street parking search time. These models are then confronted to a survey done in several districts of Lyon. The results of this confrontation give interesting conclusions about on-street parking search time modelling, validation and further research needs in order to improve the model robustness
Belloche REF focused on the modeling to estimate the on-street parking search time.
On-street Parking Search Time Modelling and Validation with Survey-based Data☆
Transportation research procedia
Computer Science