A Multidirectional Optimal Ecotope-Based Algorithm to Delineate a Commuter Shed

Wednesday Sep 28   05:00 PM to 07:00 PM (2 hours)
CommutingCommuter ShedCluster Identification
Commuting research requires a study boundary that encapsulates the commuting taking place. However, defining this study region can be difficult and is often done arbitrarily. Typically, the U.S. Census Bureau’s metropolitan statistical area (MSA) is used as a proxy for a “commuter shed,” but MSA boundaries are defined using a crude, high-level method at the county level. In this paper we use a spatial cluster statistic to define the commuter shed of Miami, FL, a multi-core urban region. We test the sensitivity of the method for several different study area sizes and for different categories of commuters to see how these commuter sheds compare to the current MSA definition. Preliminary results show the clustering approach accurately describes urban regions at a high resolution in an objective manner.
University of Cincinnati
University of Toronto - St. George

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