基于非合作博弈的公交出行结构优化分析

为了在有限的公共交通资源下让出行者使用公共交通获得的出行收益最高,以公共交通出行结构作为研究对象,运用非合作博弈的方法,以出行距离为依据对出行者进行划分,对居民公共交通出行构建博弈模型寻求Nash均衡点,以预测合理的城市轨道交通、常规公交分担比例,优化公共交通出行结构。结合太原市的实际情况进行分析,研究结果表明:61.34%的中、短距离出行居民选择常规公交出行;53.18%的长距离出行居民选择常规公交出行是太原市最佳公共交通出行结构比例。所构建的模型能够结合研究区域分析常规公交和地铁的Nash均衡点,并给出合理的最优公共交通出行结构,为有关公交优化提供参考和建议。

Optimization Analysis of Trip Structure based on Non-cooperative Game

In order to obtain the highest travel income from public transport under the limited public transport resources, a model is developed by the non - cooperative game, made the public transport and travel structure as the research object, and divided the traveler from the travel distance to seek Nash equilibrium points, predict reasonable proportion of conventional public transport and rail transit. According to the actual situation of Taiyuan City, the results shows the best proportion of travel structure in Taiyuan is that:61.34% of the Short-distance travel residents choose conventional bus; 53.18% long-distance travel residents choose conventional bus. The model constructed can analyze the Nash equilibrium points between conventional bus and subway, give a reasonable optimal public transport travel structure, and help the bus optimization to provide reference and recommendations.