Traditionally, master planners develop an initial land use scenario for
an undeveloped site, which is then forwarded to transportation planners
for modeling purposes. On the basis of travel demand forecast, several
alternatives are provided to master planners and, accordingly,
different land use proposals are examined until, finally, a preferred
option is chosen. Such trial and error process is ... [Show full abstract] inherently
cumbersome, time consuming and an optimal outcome is rarely achieved.
Usually, by increasing land use intensity, roads will be overly
congested, beyond acceptable levels, and under-utilized when lower
levels of land use intensity is planned. Hence, defining optimum land
use intensity to target traffic level of service on roads is never
achieved. The aim of this paper is to introduce an innovative approach,
based on a "reverse engineering" process, to define final land use
intensity based on desired target volume on roads. This method
significantly reduces the number of model runs required for "what if"
analysis. It also brings the results of travel demand forecast models
closer to the desired outcome.