Abstract
ABSTRACTThe travel cost model is the standard model used in the recreation demand area. This model assumes that the decision on the number of trips in a given time period (a season, for example) to a particular site is determined at the beginning of the time period. For certain types of recreation activity, it may be better to model the decision to take a trip to a given site as a function of the outcome of previous trips and the realization of random variables on previous trips (as well as travel and time costs). The spatial choice behavior itself may be sequential in nature rather than continuous.In this paper, a model is developed which specifies the choice of a discrete number of sequentially chosen trips to a given site as a function of site‐specific variables and values realized on previous trips. This model improves upon the existing travel cost model by specifying discrete integer values for the number of trips, developing an explicit relationship between trips taken and the number of days spent on each trip, and allowing intra‐seasonal effects to determine the probability of taking an additional trip. A comparison is made between the traditional travel cost model estimates of consumer's surplus and the estimates from this sequential discrete choice model.
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Schedule a callMore From: Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie
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