Because of basic conditions in China, public transit is an extremely versatile and flexible mode of transportation that can provide services to a great number of people in disaster situations. Public transit stations, whose reasonable location and arrangement primarily guarantees an overall, quick and efficient evacuation, so it is meaningful in practice. The research focuses on identifying optimal public transit station locations and personnel arrangements during emergency situations. Coverage definition based on time reliability proposed, a location model aims to maximize total coverage demands of evacuation zones, and constraint conditions are demand conservation, restricting the number and traffic capacity of the public transit station and so on. Public transit station location problem can be transformed into a mixed-integer linear programming. Also, a VC user interface is designed to find a high-quality solution in a reasonable time. Finally, a case study is conducted by the road network of Changchun city centre, comparing with traditional maximum cover location model, experimental results show that the proposed model to be superior can effectively response demand coverage of public transit station accurately.