CONTEXT-DEPENDENT STATED PREFERENCE ANALYSIS FOR STORE ON WHEELS

Abstract

Store on wheels, such as mobile supermarkets and food trucks, have become increasingly popular in recent years. Mobile stores will be used in a wider variety of situations, not only because they transport goods and services but also because they have the advantage of being less location-sensitive than conventional stores. In this study, we analyzed the impact of activity context (e.g., date, time-frame, and the number of users) and various attributes on preferences based on a web-based stated preference survey in three industries (supermarkets, restaurants, and fitness gyms).