Students' summer tourism: Determinants of length of stay (LOS) |
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| Institution: | 1. Australian Institute of Business (AIB), 27 Currie Street, Adelaide, SA, 5000, Australia;2. School of Management, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia;1. Department of Economics, University of Sargodha, Canal Campus, Lahore, Pakistan;2. Energy Research Centre, COMSATS Institute of Information Technology, Lahore, Pakistan;3. IPAG Business School 184 Boulevard Saint-Germain, 75006 Paris, France;4. Faculty of Economics and Management Sciences, Universiti Sultan Zainal Abidin, 21300 Kuala Terengganu, Terengganu, Malaysia;5. Department of Business Administration, IQRA University, Karachi 75300, Pakistan;1. Department of Land Resources and Tourism Sciences, Nanjing University, Nanjing, Jiangsu 210023, PR China;2. School of Tourism and Hospitality Management, Temple University, Philadelphia, PA 19122, USA;1. Pablo de Olavide University, Department of Sociology, Ctra. de Utrera, km. 1. Edificio 11. 3ª planta, 41013 Sevilla, Spain;2. Laboratory of Analysis and Innovation in Tourism, University of Jaén, Department of Economics, Campus de Las Lagunillas, s/n. D3-273, 23071 Jaen, Spain;1. School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Penang, Malaysia;2. Faculty of Business, Multimedia University, 75450 Melaka, Malaysia |
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| Abstract: | Studies scrutinizing the economic aspects of student tourism at the micro-level are rare in the literature. Set against this background, the present study examines the variation in a sample of Norwegian students' length of stay at summer vacation destinations in 2014. Three estimation methods – an OLS regression model, a Weibull survival model and a zero-truncated negative binomial regression model – provide qualitatively similar results regarding how a number of determinants affect length of stay. In particular, the results show that daily trip costs, booking time, tourism and trip motives, trip month and gender explain much of the variation in length of stay. Of special interest is the comparison of two segments differing on when trip duration is determined: the “pre-fixed” returners (75% of the sample) and the “open” returners (25%). In this regard, the results suggest that the “open” returners stay longer on their trips than the “pre-fixed” ones. Finally, the study provides some implications for future length of stay research. |
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| Keywords: | Students Student tourism Trip duration Length of stay LOS LOS-modeling Market segmentation Profiling of students |
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