Modeling urban trip chain pattern (case of three-trip tours of Qazvin citizens)

Decision on policies such as the ban on vehicles traffic or on a specific day, parking charges and the possibility of variable work hours requires behavioral studies sensitive to this kind of policies which activity-based approach tries to create a suitable tool for with regard to time and space of people activities and their plan. Trip chain planning in such a way that people, especially in metropolitans, travel sequentially and without any need to return home is an attempt to save time and money, that this paper deals with mathematical modeling. Modeling the selection of trip chain pattern and interpretation of relevant variables are the main objective of the current paper which in order to implement the model empirically and quantitatively, data obtained from inquiry a sample of Qazvin residents (including personal and household characteristics) and the characteristics of transport networks and features of vulnerable sites for doing tasks is used. Selecting trip chain pattern of people with separated travel purpose is done by Multinomial Logit Model and factors affecting the selection of different types of trip chain pattern in three-trip tours is examined. The results show that the average travel time, passenger age, gender, car ownership, walking, business rates of one’s residential place, employment and per-capita vehicle ownership in the origin area are the various factors affecting the choice of the trip chain pattern. Such models and this analysis can help transport managers and policy makers in different management policies to improve traffic conditions by providing useful and needed information.