ABSTRACT
This chapter explains commuting lengths in terms of both distance and time and examines the temporal trend of commuting lengths between 1990 and 2010. There has been a long tradition of attempts to explain intra-urban variability of commuting by land use patterns. The results confirm the importance of the jobs–housing imbalance affecting commuting patterns, which are much more significant in Baton Rouge than large metropolitan areas reported in other studies. The source feature dataset must have fields representing network impedance values such as travel distance and time through each road segment. The metric distance from the central business district (CBD) only considers jobs in the CBD area. A higher jobs-to-workers ratio implies less need for commuting beyond the catchment area and thus is expected to correlate with less commute. People commute by multiple modes. It makes more sense to take mode choices into consideration when measuring commuting distance.
