Abstract
One of the most important phases in planning a vacation is the booking activity process. The aim of this research is to study if the country of origin and/or seasonality has a link with the booking period (BP). The data used is from the largest booking platform of self-catering accommodations in the region of the Romand Valais in Switzerland. The data set contains more than 141,000 transactions from 1st January 2010 to 26 December 2016. This research uses the Kaplan-Meier (KM) survival method for modelling the length of BP after the resampling process. Seasonality of travel shows a higher discrimination level on BP than country of origin. This demonstrates that the importance of socio-demographical factors have been over-estimated against other factors such as travel motivations that may include external constraints such as school holiday timing. For practitioners, the results shed some light on planning behaviour across different markets and seasons. For scholars, beside methodological issues, the results show that countries of origin are less relevant than seasonality in the characterisation of the planning vacation process (PVP).
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References
Allison, P. D. (2010). Survival analysis using SAS®: A practical guide (2nd ed.). Cary, Nc.: SAS Institute Inc.
Barros, C. P., Butler, R., & Correia, A. (2010). The length of stay of golf tourism: A survival analysis. Tourism Management, 31(1), 13–21. doi:http://dx.doi.org/10.1016/j.tourman.2009.02.010.
Barros, C. P., & Machado, L. P. (2010). The length of stay in tourism. Annals of Tourism Research, 37(3), 692–706. doi:http://dx.doi.org/10.1016/j.annals.2009.12.005.
Bieger, T., & Laesser, C. (2000). Segmenting travel situations on the basis of motivation and information-collection by the traveller. The Tourist Review, 55(2), 54–64.
Bieger, T., & Laesser, C. (2001). The role of the railway with regard to mode choice in medium range travel. Tourism Review, 56(1/2), 33–39. doi:10.1108/eb058354.
Bieger, T., & Laesser, C. (2004). Information sources for travel decisions: Toward a source process model. Journal of Travel Research, 42(4), 357–371.
Boehmke, F. J., Morey, D. S., & Shannon, M. (2006). Selection bias and continuous-time duration models: Consequences and a proposed solution. American Journal of Political Science, 50(1), 192–207. doi:10.1111/j.1540-5907.2006.00178.x.
Botti, L., Peypoch, N., & Solonandrasana, B. (2008). Time and tourism attraction. Tourism Management, 29(3), 594–596. doi:http://dx.doi.org/10.1016/j.tourman.2007.02.011.
Box-Steffensmeier, J. M., & Jones, B. S. (1997). Time is of the essence: Event history models in political science. American Journal of Political Science, 1414–1461.
Boztug, Y., Babakhani, N., Laesser, C., & Dolnicar, S. (2015). The hybrid tourist. Annals of Tourism Research, 54, 190–203. doi:http://dx.doi.org/10.1016/j.annals.2015.07.006.
C.I.T.I. (2001). Dispositions contractuelles générales. Retrieved from http://www.rentalp.ch/pdf/Dispositions_Contractuelles_27.10.11_FR.pdf.
Caroll, B., & Siguaw, J. (2003). The evolution of electronic distribution. Cornell Hotel and Restaurant Administration Quarterly, 44(4), 38–50.
Correia, A. (2002). How do tourists choose? A conceptual framework. Tourism (Zagreb), 50(1), 21–29.
Decrop, A., & Snelders, D. (2004). Planning the summer vacation: An adaptable process. Annals of Tourism Research, 31(4), 1008–1030. doi:http://dx.doi.org/10.1016/j.annals.2004.03.004.
Dellaert, B. G. C., Ettema, D. F., & Lindh, C. (1998). Multi-faceted tourist travel decisions: A constraint-based conceptual framework to describe tourists’ sequential choices of travel components. Tourism Management, 19(4), 313–320. doi:10.1016/S0261-5177(98)00037-5.
Falk, M. (2013). A survival analysis of ski lift companies. Tourism Management, 36, 377–390. doi:10.1016/j.tourman.2012.10.005.
Gémar, G., Moniche, L., & Morales, A. J. (2016). Survival analysis of the Spanish hotel industry. Tourism Management, 54, 428–438. doi:10.1016/j.tourman.2015.12.012.
Hyde, K. F., & Laesser, C. (2009). A structural theory of the vacation. Tourism Management, 30(2), 240–248. doi:10.1016/j.tourman.2008.06.006.
Jeng, J., & Fesenmaier, D. R. (2002). Conceptualizing the travel decision-making hierarchy: A review of recent developments. Tourism Analysis, 7(1), 15–32. doi:10.3727/108354202108749925.
Laesser, C., & Zehrer, A. (2012). Tell me who you think you are and I Tell you how you travel. Exploring the viability of market segmentation by means of travelers’ stated personality: Insights from a mature market. Tourism Analysis, 17(3), 285–298.
Leiper, N. (1990). Tourist attraction systems. Annals of Tourism Research, 17(3), 367–384. doi:10.1016/0160-7383(90)90004-B.
Moutinho, L. (1987). Consumer behaviour in tourism. European Journal of Marketing, 21(10), 5–44. doi:10.1108/EUM0000000004718.
Pan, B., & Fesenmaier, D. R. (2006). Online information search: Vacation planning process. Annals of Tourism Research, 33(3), 809–832. doi:10.1016/j.annals.2006.03.006.
Pan, B., & Yang, Y. (2016). Monitoring and forecasting tourist activities with big data. Management Science in Hospitality and Tourism: Theory, Practice, and Applications, 43.
Rashidi, T. H., & Koo, T. T. R. (2016). An analysis on travel party composition and expenditure: A discrete-continuous model. Annals of Tourism Research, 56, 48–64. doi:10.1016/j.annals.2015.10.003.
Romero Morales, D., & Wang, J. (2010). Forecasting cancellation rates for services booking revenue management using data mining. European Journal of Operational Research, 202(2), 554–562. doi:10.1016/j.ejor.2009.06.006.
SAS Institute Inc. (2009). SAS/STAT ® 9.2 user’s guide (2nd ed.). Cary, NC: SAS Institute Inc.
Sirakaya, E., & Woodside, A. G. (2005). Building and testing theories of decision making by travellers. Tourism Management, 26(6), 815–832. doi:10.1016/j.tourman.2004.05.004.
Thrane, C. (2012). Analyzing tourists’ length of stay at destinations with survival models: A constructive critique based on a case study. Tourism Management, 33(1), 126–132. doi:10.1016/j.tourman.2011.02.011.
Thrane, C. (2015). Research note: The determinants of tourists’ length of stay: Some further modelling issues. Tourism Economics, 21(5), 1087–1093. doi:10.5367/te.2014.0385.
Thrane, C. (2016). Students’ summer tourism: Determinants of length of stay (LOS). Tourism Management, 54, 178–184. doi:10.1016/j.tourman.2015.11.010.
Thrane, C., & Farstad, E. (2012). Tourists’ length of stay: The case of international summer visitors to Norway. Tourism Economics, 18(5), 1069–1082. doi:10.5367/te.2012.0158.
van Raaij, W. F., & Francken, D. A. (1984). Vacation decisions, activities, and satisfactions. Annals of Tourism Research, 11(1), 101–112. doi:10.1016/0160-7383(84)90098-7.
Vogt, C. A., & Fesenmaier, D. R. (1998). Expanding the functional information search model. Annals of Tourism Research, 25(3), 551–578. doi:10.1016/S0160-7383(98)00010-3.
Werthner, H., & Klein, S. (1999). Information technology and tourism: A challenging relationship. Vienna: Springer.
Woodside, A. G., & MacDonald, R. (1994). General system framework of customer choice processes of tourism services. Spoilt for Choice, 30–59.
Acknowledgements
The authors thank Mr. Jorge A. Greco for his useful comments about the methodology. Thanks are also due to Nicolas Délétroz (Director of the Observatoire Valaisan du Tourism), Martina Volluz-Gasdia for the information of C.I.T.I. cancelation policy and SAS Institute Switzerland hotline team.
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Scaglione, M., Johnson, C., Favre, P. (2017). Key Factors in the Booking Activity Process: The Case of Self-catering in Valais, Switzerland. In: Schegg, R., Stangl, B. (eds) Information and Communication Technologies in Tourism 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-51168-9_28
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DOI: https://doi.org/10.1007/978-3-319-51168-9_28
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