标题：Travel mode choice on multiday traveling occasions: a multilevel and mixed-effects approach
作者机构：[Fu, Xuemei] Shandong Univ, Sch Management, 27 South Shanda Rd, Jinan 250100, Shandong, Peoples R China.
通讯作者地址：[Fu, XM]Shandong Univ, Sch Management, 27 South Shanda Rd, Jinan 250100, Shandong, Peoples R China.
来源：TRANSPORTMETRICA A-TRANSPORT SCIENCE
关键词：Multilevel analysis; travel mode choice; multiday traveling;; mixed-effects; longitudinal data
摘要：This study is designed to provide a new perspective for the multiday traveling mode choice analysis. A GPS-enabled activity-travel survey conducted in Shanghai, China is used to obtain the multiday traveling dataset. Complete travel records over consecutive days are available for each respondent, which are recognized as a hierarchical and nested structure, i.e. trips nested within a day and days nested within individual traveler. A multilevel and mixed-effects logistics regression model is employed, investigating not only the effect of trip-, day-, and individual-level variables on mode choice, but whether or not particular effect varies across days and individuals. Results regarding the fixed-effect part suggest that only limited individual-level predictors play a significant role, and the effect of day-of-week variable directly demonstrates the nonexistence of a 'typical' traveling day. More importantly, a substantial amount of random effects is revealed, which explicitly justifies the multilevel approach.