A Study evaluating the urban travel supply and demand analysis with combined models

The traditional four-step model has been widely used in travel demand forecasting, considering trip generation, trip distribution, modal split and traffic assignment sequentially in urban transportation planning. However, this approach is unable to obtain future travel demands under without socio-economic information. Recently, this problem has been addressed by many researchers who have sought to develop combined models that can consider travelers' choice on different stages simultaneously. This research considers the path cost as the sum of each step and the travelers' choice results can be affected by other cost procedures. However, practical applications should focus on physical network traffic flows status, and as reflected in travel demand and travel time. In order to solve the urban transportation plan problem, the "B" algorithm with a column generation is adopted. Experimental results can demonstrate enough information for urban transport facilities supply and demand as well as the living area of policy development.