Quantifying the potential savings in travel time resulting from parking guidance systems - a simulation case study
Quantifying the potential savings in travel time resulting from parking guidance systems - a simulation case study
Parking Guidance and Information (PGI) signs are thought to enable a more efficient use of the available parking stock. Despite the installation of PGI systems in many cities and their operation for a number of years, there is a lack of reliable evidence of the size of the benefits that these systems can achieve. This paper describes the development of driver parking choice models (both during the journey and pre-trip) and the implementation of these models in the existing network traffic simulation model RGCONTRAM. Besides quantifying the effects of the PGI system on both the drivers seeking suitable parking spaces and the parking stock itself, this also enables quantification of the impact of parking choice on the wider network. Factors influencing PGI effectiveness are described and conclusions are drawn that illustrate the potential of PGI to induce the demand to spread more efficiently across the parking stock
1067-1077
Waterson, B.J.
60a59616-54f7-4c31-920d-975583953286
Hounsell, N.B.
54781702-9b09-4fb7-8d9e-f0b7833731e5
Chatterjee, K.
2f3399b5-94b7-4183-89d4-60556223f65f
2001
Waterson, B.J.
60a59616-54f7-4c31-920d-975583953286
Hounsell, N.B.
54781702-9b09-4fb7-8d9e-f0b7833731e5
Chatterjee, K.
2f3399b5-94b7-4183-89d4-60556223f65f
Waterson, B.J., Hounsell, N.B. and Chatterjee, K.
(2001)
Quantifying the potential savings in travel time resulting from parking guidance systems - a simulation case study.
Journal of the Operational Research Society, 52 (10), .
(doi:10.1057/palgrave.jors.2601207).
Abstract
Parking Guidance and Information (PGI) signs are thought to enable a more efficient use of the available parking stock. Despite the installation of PGI systems in many cities and their operation for a number of years, there is a lack of reliable evidence of the size of the benefits that these systems can achieve. This paper describes the development of driver parking choice models (both during the journey and pre-trip) and the implementation of these models in the existing network traffic simulation model RGCONTRAM. Besides quantifying the effects of the PGI system on both the drivers seeking suitable parking spaces and the parking stock itself, this also enables quantification of the impact of parking choice on the wider network. Factors influencing PGI effectiveness are described and conclusions are drawn that illustrate the potential of PGI to induce the demand to spread more efficiently across the parking stock
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Published date: 2001
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Local EPrints ID: 39382
URI: http://eprints.soton.ac.uk/id/eprint/39382
ISSN: 0160-5682
PURE UUID: 89e57828-bc61-437a-9f60-f6b6994a559f
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Date deposited: 28 Jun 2006
Last modified: 16 Mar 2024 02:59
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Author:
K. Chatterjee
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