Representing Tourist's Time Use Behavior Based on a Multiple Discrete-Continuous Extreme Value Model

Abstract

This study applies a multiple discrete-continuous extreme value (MDCEV) model to analyze tourist’s time use behavior involving multiple activities. The MDCEV model is applied because it has several advantages over other existing time use models, including the joint representation of participation in multiple activities and the allocated time, diminishing marginal utilities (satiation effects), and different baseline utilities. Application analysis is carried out using a data collected from tourists in Japan. Influential factors related to time use in 7 activity categories are explored. Concretely speaking, individual attributes including age, employment status, residential area, travel experience, and trip-related attributes including travel mode, travel party, travel season are found to be important influential factors. It is also observed that the level of satiation is high for shopping activities and low for sport and hot spring activities.