We examine car driver’s behaviour when choosing a parking place; the alternatives available
are free on-street parking, paid on-street parking and parking in an underground
multi-storey car park. A mixed logit model, allowing for correlation between random taste
parameters and estimated using stated choice data, is used to infer values of time, both
when looking for a parking space and for accessing the final destination. Apart from the
cost of parking, we found that vehicle age was a key variable when choosing where to park
in Spain. We also found that the perception of the parking charge was fairly heterogeneous,
depending both on the drivers’ income levels and whether or not they were local residents.
Our results can be generalised for personalised policy making related with parking demand
management.
We examine car driver’s behaviour when choosing a parking place; the alternatives availableare free on-street parking, paid on-street parking and parking in an undergroundmulti-storey car park. A mixed logit model, allowing for correlation between random tasteparameters and estimated using stated choice data, is used to infer values of time, bothwhen looking for a parking space and for accessing the final destination. Apart from thecost of parking, we found that vehicle age was a key variable when choosing where to parkin Spain. We also found that the perception of the parking charge was fairly heterogeneous,depending both on the drivers’ income levels and whether or not they were local residents.Our results can be generalised for personalised policy making related with parking demandmanagement.
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