This study examined commute mode choice in a small college town by employing an integrated choice and latent variable (ICLV) model to adequately address the role of attitudinal variables, such as pro-car, pro-bus, and pro-environmental attitudes. The campus commute data (n = 554) came from an individual travel survey of the faculty and staff at the University of Illinois at Urbana-Champaign. The ICLV model provided a richer and more nuanced understanding of the commute mode choice of campus members than a traditional multinomial logit (MNL) model by illustrating how various sociodemographic characteristics influence mode decisions through mode preference and environmental attitudes. Results of a scenario analysis show that policy efforts that aim to shift commuter attitudes toward sustainable modes can be as effective as measures that improve actual transportation systems.

本研究通过采用综合选择和潜在变量 (ICLV) 模型来检验一个小型大学城的通勤模式选择，以充分解决态度变量的作用，例如支持汽车、支持公共汽车和支持环境的态度。校园通勤数据（n = 554）来自对伊利诺伊大学厄巴纳-香槟分校教职员工的个人旅行调查。与传统的多项逻辑 (MNL) 模型相比，ICLV 模型通过说明各种社会人口特征如何通过方式偏好和环境态度影响方式决策，为校园成员的通勤方式选择提供了更丰富、更细致的理解。