Different transport stake holders have different needs for transport infrastructure and services. Meeting the stakeholder sheeds implies a trade-off of benefits and costs between supply and demand and creates issues of transport diversity. Transport diversity is defined as the level of satisfaction, measured as the gap between the expected goal and present values, of stakeholder needs in the form of Entropy. Maximizing transport diversity is critical to the equitable achievement of stakeholder needs. Resource allocation policies help planners decide when and how to invest transportation infrastructure and services. However, policies for improving transport diversity are difficult to design, implement, and quantify because of the uncertainty, feedback interaction, and complexity of urban public transit system relationships. This study proposes a hybrid model integrating system dynamics, cognitive maps, and sensitivity model to tackle the problems. The model application is illustrated through an empirical study of the urban public transit system in the Taipei Metropolitan Area to validate the simulation and to enhance the managerial implications of resource allocation strategies.