Estimating the costs of new mobility travel options: monetary and non-monetary factors

UC Davis researchers have developed a cost model of travel choices that individuals make related to urban vehicle travel. These choices can include deciding to own, ride in, and drive a private vehicle or use pooled or solo ridesourcing (e.g., Uber). The model considers both monetary and non-monetary factors that affect travel choice. Monetary factors include the costs of purchasing, maintaining, and fueling different types of privately owned vehicles; and the cost of using ridesourcing services. Non-monetary (or “hedonic”) factors include travel time, parking time/inconvenience, willingness to drive or be a passenger in a driven or automated vehicle, and willingness to travel with strangers. The travel choices affected by these factors impact broader society through traffic congestion, pollution, greenhouse gas emissions, accidents, etc. and thus may be an important focus of policy. This report reviews recent literature, considers factors affecting travel choices, and reports, on a con...

加州大学戴维斯分校（UC Davis）的研究人员开发了一款面向城市机动车出行相关个体出行选择的成本模型。该模型涵盖的出行选择包括购置、搭乘及驾驶私家车，或是使用拼车或独自呼叫的网约车服务（例如优步（Uber））。模型同时考量影响出行选择的货币与非货币两类因素：货币因素涵盖不同类型私家车的购置、养护及燃油成本，以及使用网约车服务的费用；非货币（或称“享乐型（hedonic）”）因素则包括出行时长、停车耗时与不便程度、驾驶或搭乘人工/自动驾驶车辆的意愿，以及与陌生人同乘的意愿。受上述因素影响的出行选择会通过交通拥堵、污染、温室气体排放、交通事故等途径对社会整体产生影响，因此或可成为政策制定的重要关注点。本报告梳理了近期相关研究文献，对影响出行选择的各类因素进行了分析，并就……进行了报告