Abstract
Parking guidance and information (PGI) systems aim to provide information to drivers concerning the location, direction and availability of parking spaces. The PGI systems are expected to redistribute parking demand among car parks and to reduce queues at the most popular car parks. This paper aims to evaluate the effects of PGI systems, in particular availability information service, on drivers’ parking choice behavior and system performance. A simulation model is developed which consists of demand, performance and information service submodels. The demand model describes a driver’s car park choice behavior on the network. A combined model of disaggregate logit and Bayesian statistics model is formulated explicitly incorporating the variable on availability information and the refining process of the expected utility function and the choice probability. The performance sub-model presents the interaction between congestion and level of service in a network and car parks. In the information service sub-model, the outputs of the performance sub-model are transferred to the availability information such as FULL or SPACES. Numerical examples are then calculated for evaluating the effects of different types of availability information service. Changing both the congestion level of car parks and the percentages of informed drivers, different availability information is given to informed drivers. It is shown that the amount of user’s time savings by PGI system depends on the ratio of numbers of informed and non-informed drivers.
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References
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© 1996 Springer-Verlag Berlin · Heidelberg
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Asakura, Y. (1996). A Parking Simulation Model for Evaluating Availability Information Service. In: Bianco, L., Toth, P. (eds) Advanced Methods in Transportation Analysis. Transportation Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-85256-5_21
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DOI: https://doi.org/10.1007/978-3-642-85256-5_21
Publisher Name: Springer, Berlin, Heidelberg
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