Abstract
Numerous stakeholders are involved in mobility planning, such as citizens’ initiatives, political decision-makers, and mobility consultants. Here, data and its linkage form an important building block for decision-making. However, the challenge is to process heterogeneous data sources in a problem-adequate and target group-specific manner. Therefore, this publication addresses how decision-relevant contexts can be visualized and developed into mobility data stories. First, the approaches and principles of Neifer, Freytag, and Field are presented. They show that data stories are formed from an intersection of the key components data, visualizations, and stories. After that, an example is used to show how Mobility Data Stories are developed, starting from the core question, through the selection of data, the conception of the story, to the visualization. The sample solution developed in the research process is then evaluated regarding usability and user experience with the stakeholders. Based on the evaluation results, a method for creating target-group-specific Mobility Data Stories is derived to support the stakeholders in the mobility sector with the visual and content-related preparation of the data. Further, the target-oriented mobility planning process is structured regarding the potential of mobility data stories. Finally, general guidelines for creating target-group-specific Mobility Data Stories are derived. The results show the potential of Mobility Data Stories.
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References
Serrat, O.: Storytelling. https://www.adb.org/sites/default/files/publication/27637/storytelling.pdf. Accessed 24 Feb 2022
Neifer, T., et al.: Data Storytelling als kritischer Erfolgsfaktor von Data Science. HMD 57, 1033–1046 (2020). https://doi.org/10.1365/s40702-020-00662-3. https://link.springer.com/content/pdf/10.1365/s40702-020-00662-3.pdf. Accessed 24 Feb 2022
Lutz, K.: Data-Driven Marketing und der Erfolgsfaktor Mensch - Schlüsselfaktoren und Kernkompetenzen für das Marketing der Zukunft, 1st edn. Springer, Wiesbaden (2019). https://doi.org/10.1007/978-3-658-20821-9
Youtube.com. https://www.youtube.com/watch?v=9X0weDMh9C4. Accessed 24 Feb 2022
Duarte, N.: Data Story - Explain Data and Inspire Action Through Story, 2nd edn. IdeaPress Publishing, Canada (2019)
Kinateder, B.: Klassische Erzählformen. https://www.br-online.de/jugend/izi/deutsch/publikation/televizion/25-2012-2/Kinateder-Klassische_Erzaehlformen.pdf. Accessed 24 Feb 2022
Pyczak, T.: Tell me! Wie Sie mit Storytelling überzeugen, 1st edn. Rheinwerk Computing, Bonn (2017)
Irzik, M., et al.: Lkw-Parksituation im Umfeld der BAB 2018. Bundesanstalt für Straßenwesen Bergisch Gladbach (2019). https://www.bmvi.de/SharedDocs/DE/Anlage/StB/bast-erhebung-lkw-parksituation-im-umfeld-der-bab-2018.pdf?__blob=publicationFile. Accessed 22 Feb 2022
Statista: Modal-Split im deutschen Güterverkehr im Zeitraum von 2013 bis 2024 nach Landverkehrsträgern. https://de.statista.com/statistik/daten/studie/12149/umfrage/gueteraufkommen-nach-verkehrstraegern-in-deutschland/. Accessed 20 Feb 2022
Statista: Anteil der LKW an der Transportleistung im Güterverkehr in Deutschland in den Jahren von 2013 bis 2014. https://de.statista.com/statistik/daten/studie/12195/umfrage/anteil-der-lkw-am-gueterverkehr-in-deutschland/. Accessed 20 Feb 2022
arbeitsrecht.de: Lenkzeiten - Ruhezeiten – Arbeitszeiten. https://www.arbeitsrechte.de/wp-content/uploads/ebook-lenk-ruhezeiten.pdf. Accessed 20 Feb 2022
Nielsen, J.: Usability Engineering, 1st edn. Academic Press, San Diego (1993)
Webex by Cisco. https://www.webex.com/de/index.html. Accessed 25 Feb 2022
Enterprise Feedback Suite [Tivian]. https://ww2.unipark.de/www/front.php?controller=login&module=survey. Accessed 25 Feb 2022
UEQ - User Expérience Questionnaire. https://www.ueq-online.org/. Accessed 25 Feb 2022
Forschungsinformationssystem: Zielorientierter Planungsprozess. https://www.forschungsinformationssystem.de/servlet/is/415008/. Accessed 10 Feb 2022
Verband Deutscher Verkehrsunternehmen e.V.: Daten & Fakten zum Personen- und Schienengüterverkehr. https://www.vdv.de/daten-fakten.aspx. Accessed 10 Feb 2022
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Steinert, T., Große, U., Hirth, M., Krömker, H. (2022). Mobility Data Stories for a Better Understanding of Mobility Data. In: Rauterberg, M., Fui-Hoon Nah, F., Siau, K., Krömker, H., Wei, J., Salvendy, G. (eds) HCI International 2022 – Late Breaking Papers: HCI for Today's Community and Economy. HCII 2022. Lecture Notes in Computer Science, vol 13520. Springer, Cham. https://doi.org/10.1007/978-3-031-18158-0_38
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