  Based on the 1990-2010 CTPP data in Baton Rouge, this research analyzes the
temporal trends of commuting patterns in both time and distance. In comparison
to previous work, commuting length is calibrated more accurately by Monte Carlo
based simulation of individual journey-to-work trips to mitigate the zonal
effect. First, average commute distance kept climbing in 1990-2010 while
average commute time increased in 1990-2000 but then slightly dropped toward
2010. Secondly, urban land use remained a good predictor of commuting pattern
over time (e.g., explaining up to 90% of mean commute distance and about 30% of
mean commute time). Finally, the percentage of excess commuting increased
significantly in 1990-2000 and stabilized afterwards.
