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- W129513971 abstract "Today, many cities are faced with parking problems, which are only expected to become worse. Yet, there exists little empirical and theoretical knowledge on the parking behaviour of the drivers. However this knowledge is essential in order to estimate economic, social and environmental impacts of new or changing parking policies in a city. In this paper we develop the microscopic, agent-based simulation model SUSTAPARK (SUSTAinable PARKing). At its core is a model of the parking behaviour and strategic decisions of drivers. The decision model captures reactions of the drivers to changes in the time available to them and to the local situation on the road. The model also takes into account the individual preferences of the drivers. Their main strategic decisions include aspects such as the choice between an on-street or off-street parking place, as well as choices like ‘I will make another lap around this block’ or ‘I will now look in the next side street’. The decision rules are constructed with a parsimonious set of variables, incorporating the value of time and the willingness to cheat. The constructed model can be used to formulate parking management strategies that optimise the overall search time for and the use of parking places." @default.
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- W129513971 date "2008-01-01" @default.
- W129513971 modified "2023-09-27" @default.
- W129513971 title "An empirical agent-based model of parking behaviour" @default.
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