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Die Vernetzung Wiens mit den Städten Europas

Author

Listed:
  • David Zenz

    (The Vienna Institute for International Economic Studies, wiiw)

Abstract

Wir stellen ein Maß für die Beziehung zwischen zwei Städten/Regionen basierend auf Suchanfragen vor, ausgehend von Merkmalen der Suchanfragen-Zeitreihen nach Zerlegung der Zeitreihe mittels STL (Komponentenzerlegung mittels lokaler linearer Kernregression). Grundlage für das Maß sind einerseits die Eigenschaft 'Trendstärke', welches die Stärke des zugrundeliegenden Trends (egal ob steigend oder fallend) der Zeitreihe beschreibt, sowie das Feature 'linearity' der letzten fünf Jahre, welches uns die Richtung des Trends gibt. Die Kombination aus diesen Features der beiden Richtungen der Suchanfragen gibt uns ein Maß, welches für die Analyse der Entwicklung des vorgestellten Beziehungsmaßes über den Beobachtungszeitraum 2004-2020 in unterschiedlichen Suchkategorien zwischen zwei Städte/Regionen verwendet werden kann. Wir präsentieren Beispiele basierend auf Wien als point-of-interest im Kontext 'Wien und die Städte Europas', und schlagen ein Dashboard mit den verwendeten Indikatoren für Politik-Entscheidungen vor. Disclaimer Die Durchführung der Studie wurde durch finanzielle Unterstützung der Kulturabteilung der Stadt Wien (MA 7) ermöglicht. We introduce a measure of linkage for the relationship between cities/regions, based on time series features of search engine queries. The used features are backed by time series decomposition using STL, i.e. seasonal and trend decomposition using Loess, precisely the strength of the trend and the linearity of a time series. The combination of these two features for both sides of search interest, e.g. the search interest for a certain topic in the city of Berlin based on search queries posed in Vienna, allows for the analysis of the development of this computed measure of linkage for the period 2004-2020 in various search engine categories provided by Google Trends between cities/regions in Europe. We then present examples based on the city of Vienna as a point-of-interest for selected topics and propose a dashboard for policy decisions.

Suggested Citation

  • David Zenz, 2020. "Die Vernetzung Wiens mit den Städten Europas," wiiw Statistical Reports 9, The Vienna Institute for International Economic Studies, wiiw.
    • Handle: RePEc:wii:spaper:statr:9
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    File URL: https://wiiw.ac.at/die-vernetzung-wiens-mit-den-staedten-europas-dlp-5353.pdf
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    References listed on IDEAS

    as
    1. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    2. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    3. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
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    More about this item

    Keywords

    Zeitreihenanalyse; Big Data; Google Trends; Suchanfragen; Politik / Time Series Analysis; Big Data; Google Trends; Search Engine Queries; Policy;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z10 - Other Special Topics - - Cultural Economics - - - General
    • Z30 - Other Special Topics - - Tourism Economics - - - General

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