ITSCongresssmartparking2015智能交通世界大会ITS智慧城市社区人工智能AI物联网IT报告课件教案.pdfVIP

ITSCongresssmartparking2015智能交通世界大会ITS智慧城市社区人工智能AI物联网IT报告课件教案.pdf

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22nd ITS World Congress, Bordeaux, France, 5–9 October 2015 Paper number ITS-2805 Using analytics to understand on-street parking: the impact of special permit use and the benefit of demand based rates over zones 1 1 1 2 1 Stéphane Clinchant , Christopher Dance , Tom de Ruijter , Peer Ghent , Onno Zoeter 1. Xerox Research Centre Europe, 6 Chemin de Maupertuis, 38240 Meylan, France, Onno.Zoeter@ 2. Los Angeles Department of Transportation Abstract The data gathered as part of the LA ExpressPark demand management project gives an unprecedented view of on-street parking. This paper uses this data to study two aspects in detail: (i) the fraction and distribution of non-paid parking use (which is dominated by special permit use), and (ii) the impact of per-block demand based rates on the availability of cheaper alternatives in walking distance. We see that unpaid parking represents a significant part of total parked time, in particular in areas where parking congestion is a problem. In these areas unpaid parking reaches up to 90% of the total parked time. In the second part of the paper we see that the fine level demand patterns in downtown LA result in relatively heterogeneous rates such that for most locations there is a cheaper side and back street available. For most destinations motorists get a financial incentive to help ease congestion by walking a small distance. This is in contrast to traditional zone-based pricing where such incentives only exist for destinations close to the boundary of zones. Keywords:

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