Example of a survey for discovering passenger preferences

This dataset serves as a representative sample derived from a passenger preference survey, integral to my dissertation research. The compact nature of the dataset is intentional, focusing on three crucial variables: total travel time (C1), number of transfers (C2), and the experience of walking time (C3). Participants rated each variable on a scale of 1 (not important at all) to 5 (extremely important). For the walking time, participants could further specify whether it represented a discomfort or a benefit to their overall travel time, citing reasons such as fitness and health. These outcome data have been utilized in a preference discovery model. For additional details or inquiries, feel free to reach out directly.

本数据集为取自乘客偏好调研的代表性样本，是本人学位论文研究的核心组成部分。本数据集采用精简设计，刻意聚焦于三项核心变量：总出行时长（C1）、换乘次数（C2）以及步行时长体验（C3）。参与调研者对每项变量按照1至5分进行评分，其中1分代表“完全不重要”，5分代表“极其重要”。针对步行时长这一变量，参与者可进一步说明其对整体出行体验是带来不适还是益处，并可列举诸如健身、健康等相关理由。上述调研结果数据已被应用于偏好挖掘模型中。若需了解更多细节或有任何疑问，欢迎直接联系本人。