摘要翻译：
运输网络公司正在改变运输生态系统，但需要更好地了解司机和用户的微观决策，以评估运输网络公司在系统一级的影响。在这方面，我们通过估计a）个人作为跨国公司服务的骑手、司机或非用户的偏好来为文献做出贡献；b）拼车用户对拼车的偏好；c）跨国公司司机选择改用燃油经济性更好的车辆，以及d）司机决定购买、租用或租赁新车辆，为跨国公司驾驶是主要考虑因素。使用居住在跨国公司服务地区的美国人口的独特样本(n=11，902)来引出司机的偏好是本研究的关键特征。统计分析显示，打车服务主要吸引个人车辆用户作为骑手，对过境需求没有实质性影响。此外，约10%的ridehailing用户报告称，由于跨国公司的服务，他们推迟了购买新车的时间。模型估计结果表明，44岁以下的人成为跨国公司用户的可能性随着年龄的增加而增加，而44岁以后则相反。年龄的边际效应方向的这种变化是很有洞察力的，因为以前的研究已经报告了一种负面的关联。我们还发现，居住在大都市地区的研究生司机更有可能改用省油的车辆。这些调查结果将为运输规划者和跨国公司制定提高船队燃油经济性的政策提供信息。
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英文标题：
《Eliciting Preferences of Ridehailing Users and Drivers: Evidence from
  the United States》
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作者：
Prateek Bansal, Akanksha Sinha, Rubal Dua, Ricardo Daziano
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最新提交年份：
2019
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  Transportation Network Companies (TNCs) are changing the transportation ecosystem, but micro-decisions of drivers and users need to be better understood to assess the system-level impacts of TNCs. In this regard, we contribute to the literature by estimating a) individuals' preferences of being a rider, a driver, or a non-user of TNC services; b) preferences of ridehailing users for ridepooling; c) TNC drivers' choice to switch to vehicles with better fuel economy, and also d) the drivers' decision to buy, rent or lease new vehicles with driving for TNCs being a major consideration. Elicitation of drivers' preferences using a unique sample (N=11,902) of the U.S. population residing in TNC-served areas is the key feature of this study. The statistical analysis indicates that ridehailing services are mainly attracting personal vehicle users as riders, without substantially affecting demand for transit. Moreover, around 10% of ridehailing users reported postponing the purchase of a new car due to the availability of TNC services. The model estimation results indicate that the likelihood of being a TNC user increases with the increase in age for someone younger than 44 years, but the pattern is reversed post 44 years. This change in direction of the marginal effect of age is insightful as the previous studies have reported a negative association. We also find that postgraduate drivers who live in metropolitan regions are more likely to switch to fuel-efficient vehicles. These findings would inform transportation planners and TNCs in developing policies to improve the fuel economy of the fleet.
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PDF链接：
https://arxiv.org/pdf/1904.06695