Real-time, on-demand mobility systems have gradually changed our transportation means. However, they continue to exhibit problems regarding inadequate vehicles at peak times, especially for the airport, one of the busiest sites in the city. The popularity of ‘sharing’ may solve such problems to make more passengers be served over time, thereby realizing efficient, comfortable, and environmentally friendly transportation. For the airport access, our research proposed an exact model and heuristic algorithm to provide a dynamic large-scale vehicle sharing method. Three different pick-up and drop-off strategies were compared to illustrate their behaviors under different circumstances. Based on a representative high-demand case of serving all inbound and outbound passengers at Shenzhen Bao' an International Airport, it is found that i) Strategy 1 behaves worse than Strategy 2 and Strategy 3 at any time; ii) the behaviors of Strategy 2 and Strategy 3 is nearly the same and the tiny difference varies with situations. It is found that when the number of passengers is smaller than the half of capacity, Strategy 2 and Strategy 3 makes nearly no difference. With the increasing passengers, first, it is more appropriate to choose Strategy 3, then when the number of passengers approaches the capacity, Strategy 2 changes to be better. This system makes it possible to provide decision support on the implementation of sharing services, which is considered as an encouraged way to establish the low carbon city.

CICTP