Exploring Resident’s Daily Activity-Travel Behavior: Activity Pattern, Duration and Competition

This paper aims to deeply analyze the regularity of residents’ daily activity-travel behaviors to help traffic management departments predict travel demand and evaluate transportation policies. Taking time use data in American as empirical analysis, the influencing factors such as residents’ activity pattern, duration and competition were discussed and analyzed based on the competing risk model. Results can be concluded that: a) people feel happy and meaningful during most of the activities, while they feel sad or pain in relatively rare occasions; b) there is no significant difference between young people and the elderly as for the total number of activities during one day; c) estimation results show that personal, household and activity characteristics have significant influence on activity duration and pattern, and the pattern of last activity (N) has a great influence on the occurrence of next activity (N+1); d) the competition between residents’ daily activities is confirmed based on the competing risk model, and travel is closely related to various activities and can be seen as the derived demand of various activities. In all combinations of activity-travel chain schedule, personal — household (30.0%), household — recreation (25.9%), work — travel (45.2%), purchase — travel (33.7%), recreation — travel (22.5%), volunteer — travel (55.3%) and travel — purchase (28.4%) have the highest proportion respectively.