This model for filling parking lots in a territory, assesses the spatial extent of saturation, delays for users and excess environmental impacts.

Motorists are keenly aware that the capacity of parking spaces is limited in town and that in the event of saturation they have to wait for a free or inexpensive space to become available, or pay for a more expensive space, or find one that is further away.

ParkCap is an integrated vehicle traffic and parking model that was developed at the École des Ponts ParisTech, under the direction of Fabien Leurent, in order to deal with the morning rush hour on a working day. This model makes it possible to anticipate traffic due to the search for a parking space and its impacts in terms of road congestion, delays for users, energy consumption and pollutant emissions.

The formulation of the cost of finding a parking space is an essential component of the model, the key to innovation. In fact, ParkCap takes into account the costs of searching for and accessing the destination which guide users’ choices.

The model is intended for operational applications to inform decision-makers in the design of a neighbourhood- or city-wide parking plan. To demonstrate its feasibility, a case study was carried out by Houda Boujnah for the Cité Descartes neighbourhood (Marne-la-Vallée).

Fabien Leurent
Professor and Research Director
École des Ponts ParisTech
Tramway is among transport services that are analysed
The environmental performance of mobility systems is linked to energy consumption, emissions of pollutants and greenhouse gases and the effects of disruption and fragmentation of natural habitats due to the construction
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