The Transportation-Related Causes and Consequences of Land Use Change

(PI: Chandra Bhat)

This study focused on developing models for predicting shares of land-use by extending the geographic scope of individual landowner level analysis. By recognizing that the shares of land-use at the grid level are a result of aggregation of decisions of individual land owners, the current research will develop an approach to estimate the parameters of the underlying process model at the individual level. Furthermore, the proposed model will explicitly consider spatial dynamics caused by interdependence among individual landowners of proximally located properties. The resulting model can be embedded within an agent based microsimulation system to study the impact of localized as well as large-scale transportation and land-use policies.

Keywords: land-use, spatial dynamics, greenhouse gas emissions, patter-based models, process-based models