Affiliation:
1. Department of Economics, Rochester Institute of Technology, 92 Lomb Memorial Drive, Rochester, NY 14623-5604, USA
Abstract
The trip-scheduling problem faced by firms providing transport to tourists visiting a specific location in the slack season has received scant theoretical attention in the tourism literature. The author therefore conducts a stochastic analysis of the problem of trip scheduling during the slack season. He describes first a general model that accounts for the common features of sightseeing trips to city attractions and to locations such as fjords and lakes. Second, he determines the long-run fraction of time for which the transport-providing firm is unable to satisfy the demand for trips. Third, he ascertains the long-run fraction of demand that is lost to the transport-providing firm. Finally, he generalizes the analysis and considers the case in which a key, exogenously given variable is random and not constant.
Subject
Tourism, Leisure and Hospitality Management,Geography, Planning and Development
Cited by
16 articles.
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