Despite the plethora of research devoted to analyzing the impact of disability on travel behavior, not enough studies have investigated the varying impact of social and environmental factors on the mode choice of people with disabilities that restrict their ability to use transportation modes efficiently. This research gap can be addressed by investigating the factors influencing the mode choice behavior of people with travel-limiting disabilities, which can inform the development of accessible and sustainable transportation systems. Additionally, such studies can provide insights into the social and economic barriers faced by this population group, which can help policymakers to promote social inclusion and equity. This study utilized a Random Parameters Logit model to identify the individual, trip, and environmental factors that influence mode selection among people with travel-limiting disabilities. Using the 2017 National Household Travel Survey data for New York State, which included information on respondents with travel-limiting disabilities, the analysis focused on a sample of 8,016 people. In addition, climate data from the National Oceanic and Atmospheric Administration were integrated as additional explanatory variables in the modeling process. The results revealed that people with disabilities may be inclined to travel longer distances walking in the absence of suitable accommodation facilities for other transportation modes. Furthermore, people were less inclined to walk during summer and winter, indicating a need to consider weather conditions as a significant determinant of mode choice. Moreover, low-income people with disabilities were more likely to rely on public transport or walking.

翻译：尽管大量研究致力于分析残疾对出行行为的影响，但关于社会和环境因素对出行方式受限人群使用交通工具能力的差异影响仍缺乏足够研究。通过探究影响出行受限残疾人出行方式选择行为的因素，可以填补这一研究空白，为开发无障碍且可持续的交通系统提供依据。此外，此类研究能揭示该群体面临的社会经济障碍，有助于政策制定者促进社会包容与公平。本研究采用随机参数Logit模型，识别影响出行受限残疾人出行方式选择的个体、行程及环境因素。基于2017年纽约州全国家庭出行调查数据（包含出行受限残疾人的相关信息），分析聚焦于8,016名受访者的样本。同时，将美国国家海洋和大气管理局的气候数据作为额外解释变量纳入建模过程。结果表明：在其他交通方式缺乏适配套设施的情况下，残疾人可能倾向于步行更远距离；此外，夏季和冬季人们步行意愿降低，表明需将天气条件视为出行方式选择的重要决定因素；低收入残疾人更依赖公共交通或步行。