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Analysis of Transportation Users’ Preferences and Attitudes for Identifying Micro-Level Determinants of Transportation Network Companies’ (TNCs) Growth

机译:运输用户偏好和识别运输网络公司(TNCS)增长的微级别决定因素的偏好和态度分析

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Over the last decade, the popularity of Transportation Network Companies (TNCs) as a mode of travel has been increasing at a steady pace. This trend highlights the importance of identifying the determinants that influence transportati on users to adopt TNCs as a preferred mode choice and the impacts of su ch preferences on their travel patterns and transportation network o peration. This paper reports on a recent study undertaken in Birmingham, AL aiming at understanding and documenting the factors that influence transportation users to select TNCs (such as Uber/Lyft) for completing typical day trips. In doing so, a travel diary questionnaire survey was developed in accordance with the Institute of Transportation Engineers (ITE) Manual on Transportation Engineering Studies using the Qualtrics Research Core platform. The que stionnair e was used to survey over 450 transportation users in the Birmingham Metro area. The survey participants provided detailed trip information for a typical 24-hr day along with demographic data and travel preference informatio n. The survey responses provide high-resolution micro-level indicators of travel preferences and behaviors in a TNC-served area, which is a much-needed type of information for researchers and transportation planning agencies.
机译:在过去的十年中,交通网络公司(TNC)作为旅行方式的普及,速度稳步增加。这种趋势强调了识别影响Transportati对用户采用TNC作为首选模式选择以及SU CH偏好对其旅行模式和运输网络的影响的重要性。本文关于伯明翰最近进行的一项研究,旨在理解和记录影响运输用户选择TNC(如优步/ Lyft)的因素来完成典型的一天旅行。在此过程中,使用质量研究核心平台,根据运输工程师(ITE)手册制定了旅行日记问卷调查。 Que Stionnair E被用来调查伯明翰地铁区的450多名运输用户。调查参与者为典型的24小时日提供了详细的旅行信息,以及人口统计数据和旅行偏好信息。该调查响应为TNC服务区域提供了高分辨率的旅行偏好和行为指标,这是研究人员和运输规划机构的急需信息。

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