Given the high levels of congestion that many commuters in the United States experience, the urban air mobility community has been exploring the potential of using a new class of electric vertical takeoff and landing (eVTOL) aircraft for commuters. To date, only a few studies have been conducted that compare how potential air taxi demand across cities varies. This study calculates a measure of air taxi demand for commuters for the 40 most populous combined statistical areas (CSAs) in the U.S. by using: (1) cell phone data to identify regular commuters in cities, (2) census data to associate household income characteristics with commuters, and (3) a mode choice model calibrated from a stated preference survey to predict the number of commuters that would use an air taxi. Air taxi commuter demand is concentrated in a handful of CSAs; the CSAs for New York City, Los Angeles, and Washington, D.C., generate 33 percent of the overall air taxi demand. Results are sensitive to location of existing vertiports, existing ground infrastructure and congestion levels on competing modes, and current commute patterns. A resultant set of online maps of potential air taxi routes allows readers to visualize how air taxi commuter routes differ across CSAs. Results will be of value both to aircraft manufacturers seeking to design air taxi vehicles to serve different cities as well as city planners for identifying where investments in port infrastructure may be needed to support a commuter air taxi service.

鉴于美国许多通勤者遇到的高度拥堵，城市空中交通社区一直在探索为通勤者使用新型电动垂直起降 (eVTOL) 飞机的潜力。迄今为止，只有少数研究比较了不同城市的潜在空中出租车需求差异。本研究使用以下方法计算了美国 40 个人口最多的综合统计区 (CSA) 通勤者的空中出租车需求量度：(1) 手机数据以识别城市中的常规通勤者，(2) 将 人口普查数据与家庭收入联系起来通勤者的特征，以及 (3) 一种模式选择模型，根据陈述的偏好调查校准，以预测将使用空中出租车的通勤人数。空中出租车通勤需求集中在少数 CSA；纽约市、洛杉矶 和华盛顿特区的 CSA产生 33 占整个空中出租车需求的百分比。结果对现有垂直起降场的位置、现有地面基础设施和竞争模式的拥堵程度以及当前的通勤模式很敏感。由此产生的一组潜在空中出租车路线的在线地图使读者能够直观地看到不同 CSA 的空中出租车通勤路线有何不同。结果对于寻求设计空中出租车车辆以服务于不同城市的飞机制造商以及城市规划者都具有价值，以确定可能需要对港口基础设施进行投资以支持通勤空中出租车服务。