In this study, we propose a sequential model of pedestrian time-space use in urban space, describing choice behavior based on rough spatial cognition. We describe the behavior using an individual-OD-based coordinates, and assume that each individual make decision based on the utility of dynamic activity domain under time constraints. The model using the generalized coordinates makes if possible to analyze spatial characteristics without predefined links or zones. The model is estimated with GPS-based probe person data obtained within 1km-area around Shibuya station and reasonable results that show the tendency of characteristic behaviors are obtained.
A spatial planning aimed for short trip generation is needed in city centers. This paper proposed an activity generation model with activity needs, focusing on activity histories and spatial attributes. The satisfaction of needs was incorporated into a discrete-continuous model as a discrimination function, and individuals continue activities until their satisfaction achieves the threshold. The model was formulated as a Type II Tobit model to analyze activity duration choice behaviors, and was estimated using Probe Person Data collected in Matsuyama City, Ehime. It was found that 1) the closeness between Entry Point and Main facility of a tour restricts sojourn behaviors both spatially and temporary, 2) accumulative shopping and leisure trips and a last eating trip promote an activity generation, 3) malls also showed a positive tendency.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.