Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Modelling parking choices considering user heterogeneity
Highlights Characterise and simulate the behaviour of potential car park users. Data on user behaviour came from a stated choice (SC) survey. We estimate a mixed logit (ML) model with error components. Subjective values of time (SVT) were also computed. We compared (SVT) for different types of users in different parking scenarios.
Abstract 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.
Modelling parking choices considering user heterogeneity
Highlights Characterise and simulate the behaviour of potential car park users. Data on user behaviour came from a stated choice (SC) survey. We estimate a mixed logit (ML) model with error components. Subjective values of time (SVT) were also computed. We compared (SVT) for different types of users in different parking scenarios.
Abstract 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.
Modelling parking choices considering user heterogeneity
Ibeas, A. (Autor:in) / dell’Olio, L. (Autor:in) / Bordagaray, M. (Autor:in) / Ortúzar, J. de D. (Autor:in)
Transportation Research Part A: Policy and Practice ; 70 ; 41-49
13.10.2014
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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