ABSTRACT The current study contributes to the literature on transit ridership by considering daily boarding and alighting data from a recently launched commuter rail system in Orlando, Florida – SunRail. The analysis is conducted based on daily boarding and alighting data for 10 months for the year 2015. With the availability of repeated observations for every station, the potential impact of common unobserved factors affecting ridership variables are considered. The current study develops an estimation framework, for boarding and alighting separately, that accounts for these unobserved effects at multiple levels – station, station-week and station-day. In addition, the study examines the impact of various observed exogenous factors such as station level, transportation infrastructure, transit infrastructure, land use, built environment, sociodemographic and weather variables on ridership. The model system developed will allow us to predict ridership for existing stations in the future as well as potential ridership for future expansion sites.

中文翻译：

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检查铁路乘客量的决定因素：奥兰多 SunRail 系统的案例研究

摘要 目前的研究通过考虑最近在佛罗里达州奥兰多启动的通勤铁路系统 SunRail 的每日上下车数据，为有关公交乘客量的文献做出了贡献。该分析是基于 2015 年 10 个月的每日上下车数据进行的。随着每个站点的重复观测的可用性，考虑了影响乘客变量的常见未观测因素的潜在影响。当前的研究开发了一个估计框架，分别用于上车和下车，在多个层面（车站、车站周和车站日）解释了这些未观察到的影响。此外，该研究检查了各种观察到的外生因素的影响，如车站水平、交通基础设施、交通基础设施、土地利用、建筑环境、乘客人数的社会人口统计学和天气变量。开发的模型系统将使我们能够预测未来现有车站的客流量以及未来扩建站点的潜在客流量。