Despite the growing recognition of the importance of inclusive transportation policies nationwide, there is still a gap, as the existing transportation models often fail to capture the unique travel behavior of people with disabilities. This research study focuses on understanding the mode choice behavior of individuals with travel-limited disabilities and comparing the group with no such disability. The study identified key factors influencing mode preferences for both groups by utilizing Utah's household travel survey, simulation algorithm and Multinomial Logit model. Explanatory variables include household and socio-demographic attributes, personal, trip characteristics, and built environment variables. The analysis revealed intriguing trends, including a shift towards carpooling among disabled individuals. People with disabilities placed less emphasis on travel time saving. A lower value of travel time for people with disabilities is potentially due to factors like part-time work, reduced transit fare, and no or shared cost for carpooling. Despite a 50% fare reduction for the disabled group, transit accessibility remains a significant barrier in their choice of Transit mode. In downtown areas, people with no disability were found to choose transit compared to driving, whereas disabled people preferred carpooling. Travelers with no driving licenses and disabled people who use transit daily showed complex travel patterns among multiple modes. The study emphasizes the need for accessible and inclusive transportation options, such as improved public transit services, shorter first and last miles in transit, and better connectivity for non-motorized modes, to cater to the unique needs of disabled travelers. The findings of this study have significant policy implications such as an inclusive mode choice modeling framework for creating a more sustainable and inclusive transportation system.

翻译：尽管全国范围内对包容性交通政策重要性的认识日益增强，但现有交通模型往往未能捕捉残障人士独特的出行行为，仍存在研究空白。本研究聚焦于理解出行受限残障个体的出行方式选择行为，并将其与无此类残障的群体进行比较。通过利用犹他州家庭出行调查、模拟算法及多项式Logit模型，研究识别了影响两组群体出行偏好的关键因素。解释变量包括家庭与社会人口属性、个人特征、出行特征及建成环境变量。分析揭示了引人关注的趋势，包括残障人士向拼车出行的转变。残障人士对节省出行时间的重视程度较低，其出行时间价值偏低可能源于兼职工作、公共交通票价减免以及拼车无成本或成本分摊等因素。尽管残障群体享有50%票价减免，公共交通可达性仍是其选择公交出行模式的重要障碍。在市中心区域，无残障人士更倾向于选择公交而非自驾，而残障人士则偏好拼车。无驾驶证者及日常使用公交的残障人士在多种出行方式间表现出复杂的出行模式。本研究强调需提供无障碍且包容的交通选择，例如改善公共交通服务、缩短公交出行首末段距离、提升非机动出行方式的连通性，以满足残障出行者的特殊需求。研究结果具有重要的政策意义，例如建立包容性出行选择建模框架，以构建更可持续、更具包容性的交通体系。