A large-scale survey for household weekend activity and related travel was completed recently in the City of Calgary. The data include detailed information of traveler and activity, such as personal type, employment status, annual income, gender, activity type, activity duration, and starting and ending time of each activity. A micro-simulation based choice behavior model has been used in the previous city planning tasks. The model is capable of simulating complete travel behavior of individuals by considering travel purpose, travel mode, itinerary, activity durations, and even group influences. Previously, the simulation was done using a Monte Carlo process with sampling distributions based on weighted sample of observed durations. Simulations based on such "static" distributions, however, cannot be used to analyze the influences of various policies (e.g., changes in transit fare) and travel conditions (congestion or easier accessibility) to household activities in a dynamic environment. This study is an initiative for modeling the relationship between activity durations and various influencing factors. For the covering abstract of this conference see ITRD number E211426.
Abstract