Improving the passenger air travel experience is one of the explicit goals set by the Next Generation Air Transportation System in the United States and by the Advisory Council for Aeronautics Research in Europe FlightPath 2050. Both suggest door-to-door travel times as a potential metric for these objectives. In this paper, we propose a data-driven model to estimate door-to-door travel times and compare the reach and performance of different access modes to a city, as well as conduct segment analysis of full door-to-door trips. This model can also be used to compare cities with respect to the integration of their airport within their road structure. We showcase multiple applications of this full door-to-door travel time model to demonstrate how the model can be used to locate where progress can be made.

中文翻译：

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使用汇总的Uber数据分析和比较航空运输的门到门旅行时间

改善乘客的航空旅行体验是美国下一代航空运输系统和欧洲航空研究咨询委员会FlightPath 2050设定的明确目标之一。两者均建议将门到门旅行时间作为一种潜在指标为了这些目标。在本文中，我们提出了一种数据驱动的模型来估计门到门的旅行时间，并比较不同出入方式对城市的可达性和性能，并对整个门到门旅行进行分段分析。该模型还可用于比较城市在其道路结构中整合机场的情况。我们展示了此完整的门到门旅行时间模型的多种应用，以演示如何使用该模型来确定可取得​​进展的位置。