Discrete Activity-Based Trip Generation Model for Commuters

While aggregate trip generation models are widely utilized in China, they are incapable of representing the travel decisions made by individuals/households, nor providing the temporal & spatial characteristics of activities and the trips they generate. This paper explores a discrete activity-based trip generation model by multinomial logit method. By taking trip chains which included in activity patterns as the analysis units, the coherent connections and constraints among multiple activities and trips can be reflected. In addition, the model contains individual/household socio-demographics and other policy-sensitive explanatory variables. The utility function estimated by the model can be applied in a straightforward way to obtain trip generation by aggregating the individual's choice probability.