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Does ridesourcing impact driving decisions: A survey weighted regression analysis

机译：互补影响驾驶决策是否有郊游：调查加权回归分析

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The initial public offerings (IPOs) of Uber and Lyft in 2019 marked a milestone for the decade-old ridesourcing. As we start to embrace ridesourcing in our daily life, we also rearrange our daily travel amongst different modes of transportation. As the fundamental decisions in travel behavior, car ownership and car travel should be re-examined in the advent of shared mobility. In this paper, we applied a vehicle choice model that factors in ridesourcing frequency to understand the decisions about (1) how many cars an individual would declare as the primary driver of, and (2) the annual vehicle miles traveled (VMT) for all cars he or she drive. We used a subsample of the latest 2017 National Household Travel Survey (NHTS) data that focus on the Capital region (Washington, D.C. - Maryland - Virginia) as our study area. We applied a weighted regression analysis following the NHTS survey design and derived population-representative results on both decisions. In addition, we calculated the driving cost for each household vehicle based on the latest fuel economy data and incorporated driving cost into the car travel model. The results suggest that ridesourcing is associated with a smaller chance of an individual being the primary driver of a car. However, the elasticity indicates that ridesourcing usage has a small impact on the number of primarily driven cars. Furthermore, ridesourcing has no significant impact on the annual VMT, either. Driving cost, on the other hand, still plays the key role in determining driving distances.
机译：2019年优步和Lyft的首次公开发行（IPO）标志着十年历史抵制的里程碑。当我们开始在日常生活中接受郊游时，我们也在不同的运输方式中重新排列我们的日常旅行。作为旅行行为中的根本决策，应在共享移动性的出现时重新检查汽车所有权和汽车旅行。在本文中，我们应用了一个车辆选择模型，以施用频率的因素来了解关于（1）个人将被宣布为主要驾驶员的决定，（2）为所有人宣布的年线车里（VMT）他或她开车的汽车。我们使用了2017年最新的2017年国家家庭旅游调查（NHTS）数据的数据，这些数据专注于首都区域（华盛顿，D.C. - 马里兰州 - 弗吉尼亚州）作为我们的研究区。我们在NHTS调查设计和派生人口代表结果后应用了加权回归分析。此外，我们基于最新的燃料经济性数据计算了每个家庭车辆的驾驶费用，并将驾驶成本纳入汽车旅行模型。结果表明，田间垄断与个人作为汽车主要驾驶员的机会较小。然而，弹性表明，侵蚀使用对主要驱动汽车的数量具有很小的影响。此外，田间田间田间浪岭生对年度VMT没有重大影响。另一方面，驾驶成本仍在确定驾驶距离时起着关键作用。

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