Parking Studies, Gap Acceptance and the Intervening Opportunities Model: A Unified Quick Caliobratin/Estimation Method

Discrete choice models are statistical tools, akin to regression, in which the dependent variable is categorical. They have been used mainly in connection with modal split and marketing studies, but some other transportation traffic theory studies can also benefit from their application; for example, gap acceptance studies, certain studies of parking durations, and safety studies are areas of traffic engineering that have been or can be studied with discrete choice models. Although discrete choice models usually require a computer and sophisticated software, these needs may be obviated in some special cases. This paper describes a family of such cases and illustrates the results by showing how they can improve substantially the execution of periodic check parking studies and the calibration of the intervening opportunities model. For the covering abstract of the symposium see TRIS 452544.