“城市对”航空客运量与机场辐射域优化

The Optimization About Air Passenger Market Size and Airport Service Area

航空公司开辟航线、制定航班计划,需要事先预测"城市对"之间的航空客运量。根据旅客到达机场的平均地面交通成本、旅客平均候机成本和航空公司平均运营成本随航空客运需求和航空供给而变化的机理,构造基于成本最小化的"城市对"OD航空客运量和机场辐射域非线性优化模型。仿真结果显示,机场辐射域受航线长短影响最为明显,对于远程航线,机场辐射域大,航空服务应该集中在一个或极少数大型机场进行;对于短程航线,机场辐射域小,航空服务则应分散到多个小机场。地面交通条件的改善和城市居民收入的提高,会使航空客运量和机场辐射域变大,但呈现边际递减的规律。

Airlines frequently need to estimate passenger demand for city-pair routes at a particular airport in order to plan scheduling, and routing strategies. The average airport access cost, average passenger delay cost, and average airline operating cost all eithea increase or decrease with an increase in the market size of a city-pair route at an airport and aviation supply. So a nonlinear mathematical programming problem is formulated to determine the optimal number of passengers and the service area of a city-pair market. The results show that long-haul services ought to be concentrated in one large airport, while short-haul services might be dispersed among many small airports. Improvements in the technology of the airport access mode or increases in the average income of the cities served can expand the market size and service area, but at a declining expansion rate.