Cumhuriyet Döneminde Fertlerin Konaklama Tesislerindeki Gecelemelerinin Değerlendirilmesi

Year 2023, , 379 - 394, 29.10.2023

Özkan Tütüncü

https://doi.org/10.17123/atad.1367511

Abstract

Ülkemizin üyesi olduğu uluslararası örgütlerin standartları çerçevesinde, sistematik turizm istatistikleri sağlama süreci 1970’li yıllara dayanmaktadır. Turizm istatistikleri Kültür ve Turizm Bakanlığı (KTB) tarafından toplanırken, bireylerin seyahatlerinde tercih ettiği istatistiklerin sağlanması görevini Türkiye İstatistik Kurumu (TUİK) üstlenmiştir. Bu çalışmanın amacı TUİK ve KTB’nin yayınladığı ikincil veriler üzerinden, bireylerin tercih ettikleri konaklama tesislerindeki gecelemelerini değerlendirmektir. KTB istatistikleri ile yapılan analizlere göre fertlerin konaklama tesislerinde gerçekleştirdikleri geceleme süreleri artarken, TUİK’in istatistiklerine göre fertlerin geceleme süreleri azalmaktadır. Çalışmada KTB ve TUİK istatistiklerinin bir birleriyle çeliştiğini ortaya koymaktadır.

Keywords

turizm istatistikleri, iç turizm, konaklama, gecelemeler

Ethical Statement

Araştırma TUİK ve KTB'nin yayınladığı istatistilerin ikincil verilerin olarak analizine dayandığından, etik bir ihlal söz konusu değildir.

Evaluation of Individuals' Length of Stays in Accommodation Facilities for the Last Decades

Abstract

The process of providing systematic tourism statistics, within the framework of the standards of the international organizations of which our country is a member, dates back to the 1970s. While tourism statistics are collected by the Ministry of Culture and Tourism (KTB), individuals’ preferences about travels are provided by the Turkish Statistical Institute (TUIK). The aim of this study is to evaluate the overnight stays of individuals in their preferred accommodation facilities, based on secondary data published by TUIK and KTB. According to KTB statistics, the length of overnight stays of individuals in accommodation facilities increases, while according to TUIK's statistics, the length of overnight stays of individuals in accommodation facilities decreases. It has been observed that KTB and TUIK statistics contradict each other in this study.

Keywords

tourism statistics, domestic tourism, accommodation, overnight stays

References

• Almeida, A., Machado, L. P., ve Xu, C. (2021). Factors Explaining Length of Stay: Lessons to Be Learnt from Madeira Island. Annals of Tourism Research Empirical Insights, 2(1), 100014. https://doi.org/10.1016/j.annale.2021.
• Aroca, P., Brida, J.G. ve Volo, S. (2017). Tourism Statistics: Correcting Data Inadequacy, Tourism Economics, 23 (1): 99-112.
• Boto-García, D., Baños-Pino, J. F., ve Álvarez, A. (2018). Determinants of Tourists’ Length of Stay: A Hurdle Count Data Approach. Journal of Travel Research, 58 (6): 1-18. https://doi.org/10.1177/0047287518793041.
• Brida, J. G., Meleddu, M., ve Pulina, M. (2013). Factors Influencing Length of Stay of Cultural Tourists, Tourism Economics, 19(6), 1273–1292. https://doi.org/10.5367/te.2013.0248
• Cohen, J. (1988), Statistical Power Analysis for the Behavioral Sciences, 2nd Edition. Hillsdale, N.J.: Lawrence Erlbaum.
• Ferrer-Rosell, B., Martínez-Garcia, E., ve Coenders, G. (2014). Package and No-frills Air Carriers as Moderators of Length of Stay. Tourism Management, 42, 114–122. https://doi.org/10.1016/j.tourman.201.
• Fleischer, A., Peleg, G., ve Rivlin (Byk), J. (2011). The Impact of Changes in Household Vacation Expenditures on the Travel and Hospitality Industries. Tourism Management, 32(4), 815–821. https://doi.org/10.1016/j.tourman.2010.
• Fleischer, A., ve Pizam, A. (2002). Tourism Constraints Among Israeli Seniors. Annals of Tourism Research, 29(1), 106–123. https://doi.org/10.1016/s0160-7383(01)0002.
• Gokovali, U., Bahar, O., ve Kozak, M. (2007). Determinants of Length of Stay: A Practical Use of Survival Analysis. Tourism Management, 28(3), 736–746. https://doi.org/10.1016/j.tourman.200.
• Kerby, D. S. (2014). The Simple Difference Formula: An Approach to Teaching Nonparametric Correlation. Comprehensive Psychology, 3: 2165–2228.
• KTB (2023a). Turizm İstatistikleri. https://yigm.ktb.gov.tr/TR-9851/turizm-istatistikleri.html , Erişim tarihi: 23 Eylül 2023.
• KTB (2023b). Metaveri. https://yigm.ktb.gov.tr/TR-268376/metaveri.html, Erişim tarihi: 23 Eylül 2023.
• Latham, J. ve Edwards, C. (2003). The Statistical Measurements of Tourism, in Cooper C. (Ed.), Classic Reviews in Tourism. Channel View Publications, Clevedon.
• Liang, C.J.H., Chen, H.B. ve Wang, M.Y. (2012). Units, Populations, and Valid Analyses, International Journal of Culture, Tourism and Hospitality Research, 6 (1): 70-80.
• Lickorish, L.J. (1997). Travel Statistics – The Slow Move Forward, Tourism Management, 18 (8): 491-497.
• Nicolau, J. L., ve Más, F. J. (2009). Simultaneous Analysis of Whether and How Long to Go on Holidays. The Service Industries Journal, 29(8), 1077–1092. https://doi.org/10.1080/02642060902764467.
• Pareto, V. (1906). Manual of Political Economy. Oxford: Oxford University Press.
• Peypoch, N., Randriamboarison, R., Rasoamananjara, F., ve Solonandrasana, B. (2012). The Length of Stay of Tourists in Madagascar. Tourism Management, 33(5), 1230–1235. https://doi.org/10.1016/j.tourman.2011.
• R Core Team (2021). R: A Language and Environment for Statistical Computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).
• Resmi Gazete (2021). Basit Konaklama Tesisleri ile Plaj İşletmelerinin Belgelendirilmesine İlişkin Yönetmelik, https://www.resmigazete.gov.tr/eskiler/2021/09/20210925-2.htm, Erişim tarihi: 23 Eylül 2023.
• Ritchie, J.R.B. (1975). Some Critical Aspects of Measurement Theory and Practice in Travel Research, Journal of Travel Research, 14 (1): 1-10.
• Rodríguez, X. A., Martínez-Roget, F., ve González-Murias, P. (2018). Length of Stay: Evidence from Santiago de Compostela, Annals of Tourism Research, 68: 9–19. https://doi.org/10.1016/j.annals.2017.
• Silberman, J. (1985). A Demand Function for Length of Stay: The Evidence from Virginia Beach. Journal of Travel Research, 23(4), 16–23. https://doi.org/10.1177/00472875850230.
• Soler, I. P., Gemar, G., ve Correia, M. B. (2018). Length of Stay for Tourists’ Inland Trips. Journal of Destination Marketing & Management, 10, 49–60. https://doi.org/10.1016/j.jdmm.2018.05.008.
• The Jamovi Project (2022). Jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org. TUİK (2023). Hanehalkı Yurt İçi Turizm, IV. Çeyrek: Ekim - Aralık ve Yıllık, 2022. https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Yurt-Ici-Turizm-IV.-Ceyrek:-Ekim---Aralik-ve-Yillik,-2022-49553, Erişim tarihi: 23 Eylül 2023.
• _______ (Tütüncü) (2022). Ekonomik Yapı ile Fertlerin Rekreatif Seyahat Harcamaları Arasındaki İlişki, Anatolia: Turizm Araştırmaları Dergisi, 33, (2): 87-96. https://doi.org/10.17123/atad.118670.
• UNWTO (1994), Recommendations on Tourism Statistics, 1994 Edition Madrid: World Tourism Organization, https://unstats.un.org/unsd/publication/Seriesm/SeriesM_83e.pdf, Erişim tarihi: 23 Eylül 2023.
• UNWTO (2008). International Recommendations for Tourism Statistics 2008 (IRTS 2008), New York, Madrid, United Nations, Statistical Office of the European Communities; Organisation for Economic Co-operation and Development; and World Tourism Organization. https://unstats.un.org/unsd/publication/seriesm/seriesm_83rev1e.pdf, Erişim tarihi: 23 Eylül 2023.
• Volo, S. (2020). Tourism Statistics, Indicators and Big Data: A Perspective Article, Tourism Review, 75 (1): 304-309. https://doi.org/10.1108/TR-06-2019-0262.
• Wang, E., Little, B. ve DelHomme-Little, B. (2012). Factors Contributing to Tourists' Length of Stay in Dalian Northeastern China — A Survival Model analysis, Tourism Management Perspectives, 4 (2012): 67-72.