Modeling Pedestrian Flows: Agent-Based Simulations of Pedestrian Activity for Land Use Distributions in Urban Developments

Pedestrian activity is a cornerstone for urban sustainability, with key implications the environment, public health, social cohesion, and local economy. Therefore, city planners, designers, decision-makers require tools to predict pedestrian mobility assess walkability of existing or planned environments. For this purpose, diverse approaches have been used analyze different inputs such as street network configuration, density, land use mix, location certain amenities. This paper focuses on amenities elements flow prediction, and, therefore, success spaces in terms life neighborhoods. Using agent-based modeling (ABM) floor space data, study builds model, which applied both areas inner Hamburg, Germany. The flows predicted area inform ongoing design planning process. simulated are compared against real-world data external validation report model accuracy. results show that intensity correlates density diversity amenities, among other KPIs. These correlations validate our approach also quantify it measurable indicators.