A Framework to Structure Agent-Based Modeling Data for Social-Ecological Systems

Abstract

This paper presents an object-oriented approach that tightly integrates multiple modeling techniques and GIS in order to investigate route selections made by pedestrians in an ancient urban environment. Our applied method allows the integration of agent-based (ABM) and human metabolic models in order to enable different agent types, based on age and sex cohorts, to select street network routes that access different urban structures. The case study we apply our method to is a settlement in Turkey that has a known street network and building structures; however, data on social decisions affecting route selection by pedestrians are missing. Despite the lack of social