Travel Behavior of Slow Traffic Based on the Logit Model

The reasonable development of non-motorized traffic will improve people’s quality of life, promote the city’s economic development and increase the comprehensive strength of the city. To solve the problem of what kinds of people choose non-motorized traffic based on a residents travel survey in 2014 in Tongchuan, this paper analyzes the basic and non-motorized travel characteristics of residents and establishes a binary logistic regression model of non-motorized (walk/bike) influencing factors. As shown, the family and personal property, and convenience travel attributes have significant effect on non-motorized traffic. Students, housewives, and retired people prefer to choose between walking and bicycling. Shopping and entertainment also promote the non-motorized traffic. The results can assist decision-makers on all levels to wisely allocate resources to slow traffic improvement and plan a non-motorized traffic system.