Research on travelers' travel behaviour in urban central business districts based on nested logit model

Abstract

From the perspective of individual travel, this paper studies the behavior of travel mode selection of travelers in downtown business districts. In this regard, this paper uses survey data on Dalian residents' travel to summarize the travel characteristics of travelers and to explore the key factors that influence travelers' choice of travel mode. Using all samples and considering that travelers with different travel purposes may have differences in the choice of travel modes, the travel behavior of travelers in the business center is modeled. Finally, the Nested Logit(NL)model is used to predict the traffic mode split rate of travelers in the central business district. And the variation trend of traffic mode split rate is predicted when the important influencing factor (car ownership) in the model changes. The results show that the sharing rate of cars increases significantly, while that of other modes of transportation decreases, and the fastest decline is in the order of bus and walking. This indicates that car ownership has a certain influence on the sharing rate of buses and cars. Therefore, reducing car ownership can, to a certain extent, discourage the use of cars and increase the proportion of travelers who choose public transportation.