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Predicting the Spatial Impact of Planned Special Events

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Web and Wireless Geographical Information Systems (W2GIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11474))

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Abstract

While it is widely acknowledged that Planned Special Events (PSEs), such as concerts, soccer games, etc., have a strong impact on road traffic, very few studies have quantitatively investigated this phenomenon. In this paper we present the preliminary results of a technique to quantify the impact of PSEs on traffic around the venue of the events. In particular, our goal was to automatically identify all those road segments around a venue that show a different traffic behavior on event days than on non-event days. To this aim, we defined a specific pipeline, including a K-Nearest Neighbor classifier, trained on traffic data of event and non-event days for each road, using the Dynamic Time Warp (DTW) as distance metric. The proposed solutions has been empirically evaluated on four PSE venues in Germany. Two of them hosted only soccer matches of the German First League, while the other two had mixed types of PSEs, including sport, concerts and other categories of events. Results are very positive for the soccer stadiums, while more research is needed for the venues hosting mixed types of PSEs.

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Notes

  1. 1.

    https://mydrive.tomtom.com.

  2. 2.

    https://www.google.com/maps/.

  3. 3.

    http://www.nds-association.org/.

  4. 4.

    https://www.signal-iduna-park.de/.

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Author information

Authors and Affiliations

  1. Department of Electrical and Telecommunications Engineering, University of Naples Federico II, Naples, Italy

    Sergio Di Martino & Silvia Rossi

  2. L3S Research Center, Hannover, Germany

    Simon Kwoczek

Authors
  1. Sergio Di Martino
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  2. Simon Kwoczek
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  3. Silvia Rossi
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Corresponding author

Correspondence to Sergio Di Martino .

Editor information

Editors and Affiliations

  1. Kyoto Sangyo University, Kyoto, Japan

    Yukiko Kawai

  2. University of Konstanz, Konstanz, Germany

    Sabine Storandt

  3. Kwansei Gakuin University, Sanda, Japan

    Kazutoshi Sumiya

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Di Martino, S., Kwoczek, S., Rossi, S. (2019). Predicting the Spatial Impact of Planned Special Events. In: Kawai, Y., Storandt, S., Sumiya, K. (eds) Web and Wireless Geographical Information Systems. W2GIS 2019. Lecture Notes in Computer Science(), vol 11474. Springer, Cham. https://doi.org/10.1007/978-3-030-17246-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-17246-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17245-9

  • Online ISBN: 978-3-030-17246-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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