论文标题
公平优化美国航空公司路线网络
Equitable Optimization of U.S. Airline Route Networks
论文作者
论文摘要
重组路线网络（即修改原点用途对的图）仍然是减少航空公司环境影响的有希望的替代方法。但是，由于航班和机场可及性的排放之间存在基本的权衡，因为连接服务不足，低获取性社区的航班往往具有每座英里比率高的二氧化碳比率。因此，这项工作开发了一个开源分析框架和方法论，该框架和方法可以重组美国航空公司路线网络，以同时最大程度地减少排放并最大程度地提高机场可及性。为了实现这一目标，本文设计了一个指标来量化机场的可及性，并将其与开源范围内的系统排放估算方法结合使用。这有助于创建混合企业线性优化模型，该模型返回修订后的飞行频率和飞机分配。该模型将United Airlines 2019 Q3数据作为案例研究，能够构建一个替代路线网络，其总数减少了25％，每间座位英里的平均排放量减少了4.4％，而机场可及性得分的传播则提高了17.6％，同时满足了历史悠久的客机需求。
Restructuring route networks (i.e., modifying the graph of origin-destination pairs) remains a promising alternative for reducing the airline industry's environmental impact. However, there exists a fundamental trade-off between emissions from flight and airport accessibility, since flights connecting underserved, low-accessibility communities tend to possess high CO2 per seat-mile ratios. Thus, this work develops an open-source analytical framework and methodology that restructures U.S. airline route networks to simultaneously minimize emissions and maximize airport accessibility. To achieve this goal, this paper designs a metric to quantify airport accessibility and combines it with an open-source system-wide emissions estimation methodology. This facilitates the creation of a mixed-integer linear optimization model that returns revised flight frequencies and aircraft allotment. Using United Airlines 2019 Q3 data as a case study, this model is able to construct an alternative route network with a 25% reduction on the total number of flights, 4.4% decrease in the average emissions per seat-mile and a 17.6% improvement in the spread of the airports' accessibility scores, all while satisfying historic passenger demand.
