Abstract
In order to manage the transportation demand through land use planning, we developed a model to optimize the distribution of shopping centers in a China’s city. In the model the location behavior of shopping centers and the destination selection behavior of the shoppers are considered. It is a p-median style model, in which we considered the modal split model. Models respectively based on road network and super transportation network are structured. The objective of both of them is to decrease the distance of shopping trip. With survey data of Dalian city we calibrated the two models and verified their validity. After that in order to solve this nonlinear programming problem, genetic algorithm with dynamic parameters is designed and numerical test is done with the data of Dalian city in China.
