Trip-Generation Forecasting Model Based on Entropy of Land-Use Mixing
This study aimed to modify the traditional method of trip-generation by investigating the relation between trip generation and land use. Based on the interaction between urban land-use sorts and trip generation, the trip generation weights among different urban land-use sorts are determined by multiple regression analysis. Given full consideration of the land-use mixing degree, the entropy of traffic-zone-land-use mixing was calculated. An improved trip-generation model based on the entropy of land-use mixing was proposed by analyzing the relationship between trip-generation weight and land-use mixing degree. This method was tested through applying it to Xi’an urban trip generation forecasting. The result of the test shows that this method effectively illustrates the correlation between trip-generation demand and land-use mix sort, and has a better application prospect due to simple calculation, high reliability and feasibility.