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 system...

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Vydané v:The Journal of the Operational Research Society Ročník 52; číslo 10; s. 1067 - 1077
Hlavní autori: Waterson, B J, Hounsell, N B, Chatterjee, K
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Taylor & Francis 01.10.2001
Palgrave Macmillan Press
Palgrave Macmillan UK
Palgrave
Taylor & Francis Ltd
Predmet:
Applied sciences
Automobiles
Business and Management
car parking
Case-oriented Paper
Case-Oriented Papers
Decision making models
driver information
Exact sciences and technology
Flows in networks. Combinatorial problems
Management
Modeling
Motor vehicle traffic
Operational research and scientific management
Operational research. Management science
Operations research
Operations Research/Decision Theory
Parking
Parking demand
Parking facilities
Routing
Simulation
Simulation training
Studies
traffic assignment
Traffic control
Travel time
vehicle routing
Walking
car parking
driver information
traffic assignment
vehicle routing
simulation
Travel time
Transit time
Vehicle routing problem
Parking
Information
Guidance
Parking garage
Simulation
Traffic assignment
System simulation
Sign
Effectiveness factor
Car park
ISSN:0160-5682, 1476-9360
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Popis
Shrnutí: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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ISSN:0160-5682
1476-9360
DOI:10.1057/palgrave.jors.2601207