The ideal source of local public revenue

Shoup, Donald

doi:10.1016/s0166-0462(04)00020-1

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…The second model takes an explicit geosimulation view (Benenson and Torrens 2004) of the parking process and employs a new version of PARKAGENT, an agent-based model of parking dynamics in the city, first presented in . Following the literature on cruising for parking (Shoup 2004, Arnott 2006, we employ both models to analyse this phenomenon. Based on a careful comparison of the models we identify under which conditions an explicit spatial representation of parking search and choice is necessary for capturing the essentials of parking dynamics under congested conditions.…”

Section: Introductionmentioning

confidence: 99%

Exploring cruising using agent-based and analytical models of parking

Levy

Martens

Benenson

2013

Transportmetrica A: Transport Science

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This article proposes two models to analyse parking search: an analytical model called PARKANALYST and a geosimulation model, termed PARKAGENT, which explicitly accounts for street network and drivers' parking-related decisions. We employ both models to analyse the impact of occupancy rate and demand-to-supply ratio on cruising for parking and to compare the models' outcomes. We estimate the main characteristics of parking dynamics, and find that the spatial effects influence system dynamics starting from an occupancy rate of 85% while become really important for analysing parking when the occupancy rate is above 92-93%.

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Section: Introductionmentioning

confidence: 99%

Exploring cruising using agent-based and analytical models of parking

Levy

Martens

Benenson

2013

Transportmetrica A: Transport Science

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“…Hence, the supply curve is backward bending. 6 At this point, the reader should also see Shoup (2004), which reviews various other arguments about why parking is "the ideal source of local public revenue." 7 These models treat parking search as a deterministic process.…”

Section: Cruising For Parkingmentioning

confidence: 99%

A review of the economics of parking

İnci

2015

Economics of Transportation

213

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“…Frequently, for the large number of variables involved in the optimization pricing problems, are used heuristic algorithms such as the algorithm proposed by D' Acierno et al (2006) that helps to find great parking prices for each OD pair. Shoup (2004Shoup ( , 2006Shoup ( , 2007 proposes that the excellent rate can be found in an iterative way by an increase/decrease of the initial price. This principle was later applied in 2010 in San Francisco (SFpark) giving excellent results.…”

Section: Optimization Of the Ratementioning

confidence: 99%

Parking Pricing for a Sustainable Transport System

Migliore

Burgio

Giovanna

2014

Transportation Research Procedia

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The purpose of this study has been the develop of a model for designing an efficient parking pricing policy. The aim is an\ud intelligent control and management system of parking pricing integrated with a redefinition of the circulation scheme for a\ud limited traffic zone in the Central Business District (CBD) of Palermo.\ud The transport demand over the entire area of the town has been studied in order to design various parking pricing scenarios with\ud the application of an additional cost on parking inside the selected area of the CBD. This area attracts most of the private\ud vehicular traffic and it is characterized by university faculties, schools, hospitals, offices and commercial areas.\ud The optimal hourly toll is defined by an iterative maximization process of an objective function. This objective function is\ud subject to the following constraint: the percentage of available parking in the various parking zones has to remain major of the\ud 30%. In this way, the users who need to park close to their final destination can easily find parking. Otherwise it is possible to\ud leave the private car in a “park and ride” area and taking a shuttle bus directed towards the zones of the CBD.\ud A basic principle of this pricing policy is the re-use of revenues for two purposes: to design a shuttle bus service that connects the\ud various “park and ride” areas to the CBD and to improve the local public transport service on the OD pairs that show high travel\ud demand. At the same time it is necessary to eliminate the stop and go flow in cordon roads to increase the capacity and avoid\ud congestion in these critical links.\ud The method shows that in a very simple, and relatively fast, way is possible to get a proposal for the modification of the parking\ud pricing scheme that makes the city center no longer stifled by private car traffic

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The ideal source of local public revenue

Cited by 4 publications

References 10 publications

Exploring cruising using agent-based and analytical models of parking

Exploring cruising using agent-based and analytical models of parking

A review of the economics of parking

Parking Pricing for a Sustainable Transport System

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