Integration of attributes in bus transportation: Two modeling approaches

Abstract

Studied judged probability of riding hypothetical bus systems as a function of fare, frequency of service, and walking distance to the bus stop. The judgment process of 20 undergraduates was modeled by 2 different approaches. A policy-capturing approach using regression analysis indicated that a linear model accounted for the data adequately. However, a polynomial model incorporating both linear and multiplicative components in the judgment policy provided a better fit. A method of scaling known as functional measurement served to reject the linear model and confirmed that a multiplying model was correct. Functional measurement provided subjective scales for fare, frequency of service, and proximity to the bus stop. (PsycInfo Database Record (c) 2025 APA, all rights reserved)