Abstract
Based on the 1990–2010 Census Transportation Planning Package data of Baton Rouge, Louisiana, 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 between 1990 and 2010, whereas average commute time increased between 1990 and 2000 but then slightly dropped toward 2010. Second, urban land use remained a good predictor of commuting pattern over time (e.g., explaining up to 90 percent of mean commute distance and about 30 percent of mean commute time). Finally, the percentage of excess commuting increased significantly between 1990 and 2000 and stabilized afterward.
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