Research Article

Forecasting the Number of Visitors of the Museums and Ruins by Using Time Series Analysis: The Case of Turkey

Volume: 35 Number: 2 June 30, 2021
TR EN

Forecasting the Number of Visitors of the Museums and Ruins by Using Time Series Analysis: The Case of Turkey

Öz

Objectives: As cultural places, museums and ruins are inseparable parts of the creation process of cultural and historical identity. The cultural heritage products covered by museums and ruins can be thought as a representation of a community and its highest values and truths. It is precisely for these reasons that the interest shown to museums and ruins can give clue for future plans of the cultural institutions in a country. The aim of this research is to forecast the number of visitors to the museums and ruins until 2037 in Turkey. Method: The research material consists of data about the number of visitors of the museums and ruins, between 2001 and 2019 in Turkey. The data were obtained from the Turkish Statistical Institute (TÜİK). Research data was analysed under the framework of Auto Regressive Integrated Moving Average (ARIMA) time series analysis in order to predict the future numbers of visitors to museums and ruins. Findings: The research findings show that time series contain highly usable estimates which indicate an increasing trend for the number of visitors to the museums and ruins in Turkey. Originality: The findings can also allow comparative studies, in which the issues about physical and digital users are compared, for museums and ruins which are willing to convert their content to digital platforms. Results: In addition to practical implications, the present study is expected to contribute to the literature.

Anahtar Kelimeler

Numbers of visitors , museum visitors , ruin visitors , cultural areas , time series analyses

References

  1. Arinze, E. N. (1999). The role of the museum in society. https://maltwood.uvic.ca/cam/activities/past_conferences/1999conf/CAM'99-EmmanuelArinze.GuyanaFinal.pdf
  2. Box, G. E. P. and Jenkins, G. M. (1976). Time series analysis: Forecasting and control. Holden-Day Inc.
  3. Brockwell, P. and Davis, R. (2002). Introduction to time series and forecasting (2nd ed.). Springer.
  4. Chan, Y. O. C. (2009). History museums as tourist attractions: a comparison of Hong Kong and Macau [Master of philosophy thesis]. https://core.ac.uk/download/pdf/48537895.pdf
  5. Dickey, D. A. and Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057-1072.
  6. Fischer, B. (1995). Decomposition of time series comparing different methods in theory and practice, Eurostat Working Paper, no9/1998/A/8.
  7. Gujarati, D. N. (2003). Basic econometrics (4th ed.). McGraw‐Hill.
  8. International Council of Museum - ICOM. (2021). Museum definition. https://icom.museum/en/resources/standards-guidelines/museum-definition/
  9. Kervankıran, İ. (2014). Dünyada değişen müze algısı ekseninde Türkiye’deki müze turizmine bakış. Turkish Studies, 9(11), 345-369.
  10. Kirchberg, V. and Tröndle, M. (2012). Experiencing exhibitions: A review of studies on visitor experiences in museums. Curator: The Museum Journal, 55(4), 435-452.
APA
Öztemiz, S., & Tekindal, M. A. (2021). Forecasting the Number of Visitors of the Museums and Ruins by Using Time Series Analysis: The Case of Turkey. Türk Kütüphaneciliği, 35(2), 232-248. https://doi.org/10.24146/tk.836355