On-street parking availaibilty data in San Francisco, from stationary sensors and high-mileage probe vehicles

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Bock, F.; Di Martino S.: On-street parking availaibilty data in San Francisco, from stationary sensors and high-mileage probe vehicles. In: Data in Brief 25 (2019), 104039. DOI: https://doi.org/10.1016/j.dib.2019.104039

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/5100

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Sum total of downloads: 116

This dataset contains records of the measured on-street parking availability in San Francisco, obtained from the public API of the SFpark project. In 2011, the San Francisco Municipal Transportation Agency (SFMTA) started a project on smart parking, called SFpark, whose goal was the improvement of on-street parking management in San Francisco, mostly by means of demand-responsive price adjustments [1]. One of the key points of the project was the collection of information about on-street parking availability. To this aim, about 8,000 parking spaces were equipped with specific sensors in the asphalt, periodically broadcasting availability information. The SFpark project made available a public REST API, returning the number of free parking spaces and total number of provided parking spaces per road segment, for 5,314 parking spaces on 579 road segments in the pilot area. We collected parking availability data from 2013/06/13 until 2013/07/24, by querying this API at approximately 5-min intervals. As a result, we obtained in total about 7 million observations of parking availability on the road segments. These observations represent the first dataset we are providing. In addition, we simulated the achievable sensing coverage of on-street parking availability that could be achieved by a fleet of taxis, if they were equipped with sensors able to detect free parking spaces, like side-scanning ultrasonic sensors [3], or windshield-mounted cameras [4]. In particular, by exploiting real taxi trajectories in San Francisco from the Cabspotting project [5], we first computed the frequencies of taxi visits for each road segment covered by the SFpark sensors. Then, we downsampled the first dataset, in order to have a parking availability information for a road segment at a given time only in presence of a transit of a taxi on that segment at that time. This step was replicated for 5 different sizes of taxi fleets, namely 100, 200, 300, 400, and 486. Consequently, in total six datasets are available for further research in the field of on-street parking dynamics. All these datasets can be downloaded at: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YLWCSU.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 74 63.79%
2 image of flag of United States United States 17 14.66%
3 image of flag of China China 5 4.31%
4 image of flag of Russian Federation Russian Federation 4 3.45%
5 image of flag of Israel Israel 3 2.59%
6 image of flag of No geo information available No geo information available 2 1.72%
7 image of flag of Korea, Republic of Korea, Republic of 2 1.72%
8 image of flag of Vietnam Vietnam 1 0.86%
9 image of flag of Taiwan Taiwan 1 0.86%
10 image of flag of Bulgaria Bulgaria 1 0.86%
    other countries 6 5.17%

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