Evaluating the effects of parking price and location in multi-modal transportation networks
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In urban transportation, combined mode trips are increasing in
importance due to current urban transportation polices which
encourage the use of transit through the creation of apposite
parking lots and improvements in the public transportation system.
It is widely recognized that parking policy plays an important
role in urban management: parking policy measures not only affect
the parking system, but also generate impacts to the transport and
socioeconomic system of a city. The present paper attempts to
expand on previous research concerning the development of models
to capture drivers' parking behavior. It introduces in the
modeling structure additional variables to the ones usually
employed, with which the drivers' behavior to changes in prices
and distances (mainly walking) are better captured. We develop a
network model that represents trips as a combination of private
and transit modes. A graph representing four different modes (car,
bus, metro and pedestrian) is defined and a set of free park and
ride facilities is introduced to discourage the use of private
cars. An algorithm that evaluates the location and the effects of
the parking price variation using multi-modal shortest paths is
proposed together with an application to the City of Rome.
Computational results are shown.