Exploring Creativity and Urban Development with Agent-Based Modeling

Authored by Andrew T Crooks, Ammar Malik, Hilton Root, Melanie Swartz

Date Published: 2015

Sponsors: USAID International Food Policy Research Institute (IFPRI) Competitive Grants Program

Platforms: NetLogo

Model Documentation: ODD Flow charts Mathematical description

Model Code URLs: https://www.comses.net/codebases/4396/releases/1.0.0/

Abstract

Scholars and urban planners have suggested that the key characteristic of leading world cities is that they attract the highest quality human talent through educational and professional opportunities. They offer enabling environments for productive human interactions and the growth of knowledge-based industries which drives economic growth through innovation. Both through hard and soft infrastructure, they offer physical connectivity which fosters human creativity and results in higher income levels. When combined with population density, socio-economic diversity and societal tolerance; the elevated interaction intensity diffuses creativity and improves productivity. In many developing country cities however, rapid urbanization is increasing sprawl and causing deteriorating in public services. We operationalize these insights by creating a stylized agent-based model where heterogeneous and independent decision-making agents interact under the following three scenarios: (1) improved urban transportation investments; (2) mixed land-use regulations; and (3) reduced residential segregation. We find that any combination of these scenarios results in greater population density and enables the diffusion of creativity, thus resulting in economic growth. However, the results demonstrate a clear trade-off between rapid economic progress and socioeconomic equity mainly due to the crowding out of low-and middle-income households from clusters of creativity.

Tags

Innovation Productivity Land-use Economic-growth Cities Countries Brain-drain Agglomeration economies Microdata panel Us