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Modelling Mode Choice at Sharjah University City, United Arab Emirates

机译:阿拉伯联合酋长国沙迦大学城的建模模式选择

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A growing interest in the behaviour of travelers to university campuses has recently emerged whether by university administrators or transport officials. Understanding the modal choice determinants of university travellers increases the opportunity for finding appropriate policies and solutions to reduce traffic congestion and parking needs as well as to encourage active transportation hence achieving more sustainable mobility. This research study investigates the differences in mode choice habits among the various groups of travellers to Sharjah University City (SUC) in the United Arab Emirates (UAE), including students, staff, faculty, and university visitors. A revealed preference survey was distributed randomly throughout SUC. Using information collected from this survey, multinomial discrete logit choice models were developed to evaluate the SUC travellers’ mode-choice likelihood for the following modes: car, private bus, public bus, taxi, and active transport (walking and biking). It was found that travel time, travel distance, trip makers’ characteristics (gender, citizenship, car ownership, car sharing, and the number of cars per household), and other contributing factors ( Weathers conditions, Infrastructure adequacy, and bus services quality) are the main factors that affect significantly the mode choice at SUC. Further, a sensitivity analysis was conducted to study how the considered factors influence the mode choice. The developed model can be used in future studies to predict travel demand at SUC in response to new policies and solutions set by university administrators or transport officials.
机译:最近,无论是大学管理者还是运输官员,人们对前往大学校园的旅行者的行为越来越感兴趣。了解大学旅行者的方式选择决定因素将增加寻找适当政策和解决方案的机会,以减少交通拥堵和停车需求,并鼓励积极交通,从而实现更可持续的机动性。这项研究调查了在阿拉伯联合酋长国(UAE)的沙迦大学城(SUC)的各个旅行者中,包括学生,教职员工,教职员工和大学访问者在模式选择习惯上的差异。一项揭示的偏好调查在整个SUC中随机分布。利用从这次调查中收集到的信息,开发了多项式离散logit选择模型,以评估SUC旅行者针对以下方式的模式选择可能性:汽车,私家车,公共巴士,出租车和主动出行(步行和骑自行车)。研究发现,出行时间,出行距离,出行者的特征(性别,公民身份,汽车拥有量,汽车共享以及每户家庭汽车数量)以及其他影响因素(天气条件,基础设施充足性和公交服务质量)是显着影响SUC模式选择的主要因素。此外,进行了敏感性分析以研究所考虑的因素如何影响模式选择。开发的模型可用于将来的研究中,以响应大学行政人员或运输官员制定的新政策和解决方案来预测SUC的旅行需求。

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