A Pedestrian Model Capturing Trade-Offs Between Travel and Place Functions of Urban Street Space: An Illustrative Numerical Example

抄録

In urban areas with high pedestrian densities, it is challenging to allocate space that effectively caters to both (1) travel functions, ensuring safe and smooth movement, and (2) place functions, supporting various activities on the street. To address this issue, this study introduces a hierarchical pedestrian behavior model. This model considers both travel and place functions of urban street space within a dynamic discrete choice framework based on the random utility maximization theory. The model comprises (1) a macro model, determining pedestrian numbers by modeling transitions across links, and (2) a micro model, capturing pedestrian behavior within a link for both moving and staying purposes. Through an illustrative numerical simulation, it is demonstrated that an increase in the number of stayers within crowded spaces leads to a reduction in the consumer surplus of movers. This research contributes to optimizing urban street space by dynamically adjusting the travel and place functions.