TY  - JOUR
T1  - Modeling Sustainability: Insights from an Agent-Based Approach to Sustainable Urban Community Development
AU  - Eduardo Franco
AU  - Kechi Hirama
PY  - 2025
JF  - Socioeconomic Analytics
PB  - Universidade Federal de Pernambuco (UFPE)
VL  - 3
IS  - 1
SP  - 74
EP  - 87
UR  - https://periodicos.ufpe.br/revistas/SECAN/article/view/266104
AB  - This work examines the potential of agent-based modeling (ABM) to explore and understand sustainability in urban communities. The study aims to identify how sustainable practices can emerge from localized decision-making and social dynamics by focusing on the interactions between households, residents, and their environment. The model can provide insights into the social, economic, and environmental dimensions of sustainability within an urban community by simulating predefined scenarios. While this study phase establishes the conceptual framework and methodology, future efforts will enhance the model’s reliability with empirical data and involve stakeholders to refine its relevance to urban policy and planning.
KW  - sustainability
KW  - households
KW  - urban     communities
KW  - agent-based modeling
DO  - 10.29327/2565368.3.1-3
SN  - 2965-4661
LA  - EN
LA  - ES
LA  - PT
ER  -