为减少偏远地区员工的通勤成本，设计雇主班车联盟运营模式，构建班车联盟运营双层优化模型。其中，上层模型以所有雇主班车总的广义成本最小为目标，优化参与班车联盟的成员结构；下层模型考虑联盟内各雇主员工的时间价值差异，以联盟中的班车总广义成本最小为目标，优化联盟运营时各班车的行驶路径。基于Shapley值法公平分摊联盟运营班车的金钱成本。以宁波梅山地区三家雇主为例，优化后的班车运营方案显示，三家雇主联盟为最优的联盟结构，与各雇主单独运营通勤班车相比，联盟运营班车的总广义成本节省10.24%，其中，金钱成本节省26.44%，三家雇主分摊的金钱成本将分别减少27.7%、51%和5.9%；员工时间成本节省3.75%。

To reduce the commuting costs of employees in remote areas, an employer bus alliance operation model was designed, and a two-layer optimization model was constructed for bus alliance operation. Among them, the upper level model targeted the total generalized cost of all employer buses minimum, and optimizing the member structure of participating bus alliances, the lower level model considered the time value differences among employers and employees within the alliance, with the goal of minimizing the total generalized cost of shuttle buses in the alliance, and optimizeed the travel paths of each shuttle bus during the operation of the alliance. The monetary costs of alliance operating shuttle buses was fairly shared based on Shapley value method. Taking three employers in the Meishan area of Ningbo as an example, the optimized shuttle bus operation plan shows that the three employers’ alliance is the optimal alliance structure. Compared with each employer operating commuting buses separately, the total generalized cost of operating shuttle buses by the alliance is saved by 10.24%, of which the monetary cost is saved by 26.44%, and the monetary cost shared by the three employers is reduced by 27.7%, 51% and 5.9% respectively; the employee time costs is saved by 3.75%。