Pedestrian activity model based on implicit path enumaration

Pedestrian route choice behavior has difficulties for modeling; 1) a path enumeration problem because of the route variety, 2) pre-trip decision mechanism and trip-based model are not suitable since there is high continuity of walking and staying behavior in pedestrian contexts. In this paper, we propose a pedestrian activity model without path enumeration. We formulate an activity path choice model based on implicit approach to describe activity correlation as one type of network-GEV based model. The model allows us to compute the activity assignment with cyclic, multi-trip and time attributes. The assignment results show that time-space discount rate of expected utility and the prism constraint are important parameters that have an influence on pedestrian decision-making.