Mapping similarities in temporal parking occupancy behavior based on city-wide parking meter data

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Bock, Fabian; Xia, Karen; Sester, Monika: Mapping similarities in temporal parking occupancy behavior based on city-wide parking meter data. In: Proceedings of the ICA 1 (2018), S. 1-5. DOI: https://doi.org/10.5194/ica-proc-1-12-2018

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/5190

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Sum total of downloads: 110




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The search for a parking space is a severe and stressful problem for drivers in many cities. The provision of maps with parking space occupancy information assists drivers in avoiding the most crowded roads at certain times. Since parking occupancy reveals a repetitive pattern per day and per week, typical parking occupancy patterns can be extracted from historical data. In this paper, we analyze city-wide parking meter data from Hannover, Germany, for a full year. We describe an approach of clustering these parking meters to reduce the complexity of this parking occupancy information and to reveal areas with similar parking behavior. The parking occupancy at every parking meter is derived from a timestamp of ticket payment and the validity period of the parking tickets. The similarity of the parking meters is computed as the mean-squared deviation of the average daily patterns in parking occupancy at the parking meters. Based on this similarity measure, a hierarchical clustering is applied. The number of clusters is determined with the Davies-Bouldin Index and the Silhouette Index. Results show that, after extensive data cleansing, the clustering leads to three clusters representing typical parking occupancy day patterns. Those clusters differ mainly in the hour of the maximum occupancy. In addition, the lo-cations of parking meter clusters, computed only based on temporal similarity, also show clear spatial distinctions from other clusters.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 33 30.00%
2 image of flag of United States United States 19 17.27%
3 image of flag of Taiwan Taiwan 10 9.09%
4 image of flag of France France 9 8.18%
5 image of flag of Serbia Serbia 8 7.27%
6 image of flag of China China 6 5.45%
7 image of flag of Philippines Philippines 5 4.55%
8 image of flag of Australia Australia 3 2.73%
9 image of flag of No geo information available No geo information available 2 1.82%
10 image of flag of Finland Finland 2 1.82%
    other countries 13 11.82%

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