Abstract

Transportation Development: Agent-Based Modeling and Landscape Prediction of Urban Environment
Track: Urban and Regional Planning
Authors: Pariwate Varnakovida, Joseph Messina

In this research, I develop spatially-explicit model-based simulations of LULCC scenarios within the rubric of sustainability science for Nang Rong town, Thailand. The research draws heavily on recent work in geography, demography, sociology, and complexity theory. An Agent Based model was built named the Settlement model. Results of the simulations are used to examine the spatial distribution and composition of LULCC in the context of urban and regional sustainability in Thailand.

The Settlement model suggests that if the population doubles in 2021, the settlement may be continuing to inhibit development along some corridors along the roads and bridge the gap between existing settlements creating low density sprawl on land suitable for rice agriculture. These products give us a better understanding of the urban growth and spatial modeling at a regional scale and will guide potentially more systematic and effective resource management and policy decisions.