Urban rail transit ridership prediction has some guide meaning to urban rail transit planning and rail transit construction. In this paper, we use four-step method for rail transit ridership prediction. By considering Changchun GDP, land utilization rate, population and other factors, we use regression analysis method to predict trip generation, gravity model to predict trip distribution, logit model for model split and equilibrium model for traffic assignment. Finally, built the bus network model to obtain cross-sectional transit ridership of Changchun light rail line 3.
In order to determine the routing scheme of a line in city track traffic, with the alternative routing as variables, taking the optimal matching between the spatial characteristics of passenger demand and routing, as well as the minimization of operation cost as the objective functions, a nonlinear constrained multi-objective 0-1 programming model is established. With the minimum value of each objective, the weighted coefficient of each objective function is computed with α - method, and the multi-objective problem is transformed into a single objective problem to be solved. Taking Xi’an Rail Transit Line 2 as an example, a selectable routing scheme is calculated.