We develop algorithms to analyze Information and Communication Technologies (ICT) data in order to estimate individuals’ mobility at different spatial scales. Specifically, we apply the algorithms to delineate airport catchment areas in the United Kingdom’s Greater London region and to estimate ground access trip times from a very large ICT dataset. The spatial demand is regressed over demographic, socio-economic, airport-specific and ground access modal characteristics in order to determine the drivers of airport demand. Drawing on these insights, we develop a catchment area game inspired by Hotelling that analyzes the potential impact of collaboration between airports and airlines by integrating evidence of consumer behavior with producers’ financial data. We apply the game to a case study of two London airports with overlapping catchment areas for local residents. Our assessment of airline-airport vertical collusion and airport-airport horizontal collusion indicates that the former is beneficial to both producers and passengers. In contrast, whilst horizontal and vertical collusion is the equilibrium outcome in the analytic symmetric case, it is found to be less likely in the asymmetric case and the real-world, data-driven analysis, due to catchment area and cost asymmetries. Thus, such new datasets may enable regulators to overcome the long-standing information asymmetry issue that has yet to be resolved. Combining new data sources with traditional consumer surveys may provide more informed insights into both consumers’ and producers’ actions, which determines the need (or lack thereof) for regulatory intervention in aviation markets.

我们开发算法来分析信息和通信技术 (ICT) 数据，以估计个人在不同空间尺度上的流动性。具体来说，我们应用这些算法来描绘英国大伦敦地区的机场集水区，并根据非常大的 ICT 数据集估算地面访问行程时间。空间需求根据人口统计、社会经济、特定机场和地面通道模式特征进行回归，以确定机场需求的驱动因素。借鉴这些见解，我们开发了一个受霍特林启发的集水区游戏，通过将消费者行为的证据与生产者的财务数据相结合，分析机场和航空公司之间合作的潜在影响。我们将该游戏应用于两个伦敦机场的案例研究，这些机场的当地居民服务区重叠。我们对航空公司-机场纵向合谋和机场-机场横向合谋的评估表明，前者对生产者和乘客都有利。相比之下，虽然水平和垂直合谋是分析对称案例中的均衡结果，但由于服务区和成本不对称，在非对称案例和现实世界的数据驱动分析中这种情况不太可能发生。因此，此类新数据集可能使监管机构能够克服尚未解决的长期存在的信息不对称问题。将新的数据源与传统的消费者调查相结合，可以为消费者和生产者的行为提供更明智的见解，