Effect of Resource Allocation Policies on Urban Transport Diversity

Abstract

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 system relationships. This study proposes a hybrid model integrating system dynamics, cognitive maps, and a sensitivity model to tackle the problems. The model application is illustrated through an empirical study to enhance the managerial implications in the Taipei metropolitan area.