ASSESSING USER PREFERENCES FOR MOBILE APPLICATIONS IN PUBLIC TRANSPORTATION: A PRE-STUDY USING A CONJOINTBASED RESEARCH METHODOLOGY

Abstract

Developing a successful mobile application requires the involvement of the user in the development process. Features and functionalities have to be carefully cho- sen to meet user expectations and preferences. This paper presents work in pro- gress and proposes a conjoint-based approach for the assessment of user prefer- ences regarding mobile applications in the context of public transportation. A pre- study was conducted based on a computer-aided online survey with two conjoint analysis variants: Choice-based conjoint (CBC) analysis and adaptive choice- based conjoint analysis (ACBC). The paper compares these two different conjoint methods and their implications for the study design and participation. As a result, some preliminary findings on relevant mobile app features and recommendations for the applicable conjoint analysis variant were derived