Utility Function/Shopping Trip

There have been many different kinds of behavioral travel demand models developed. The disaggregate Logit model has been utilized in an increasing number of cities for transportation planning. Recently in Japan developers of large scale shopping centers and malls often are confronted with emotional opposition of local retailers who are afraid to lose their sales. This situation discourages the effort to improve the environment of shopping areas. To develop travel demand models for analyzing the impact of shopping area renewal on shopping trip attraction and on the growth of income of local stores makes sense not only for transportation planning but also for urban planning. Generally speaking, non-grocery shopping trips are under less constraints than home to work trips, so the way in deciding to make such trips might be more complicated than that of daily travel. This paper employs a Logit model, a fuzzy-integrated model and a Lexicographic model as destination-choice models and mode-choice models for non-grocery shopping trips and their performance are compared and evaluated.