Increasingly, researchers have discussed ways of utilizing excess commuting/jobs — housing methodologies in policy analyses. One potential barrier involves the uncertainty associated with using network-based travel time estimates in the commute models. This paper examines the extent to which various excess commuting/jobs — housing statistics are sensitive to changes in their input transportation costs. A series of computational experiments are run using spatial data from a smaller metropolitan area. Results reveal the variability in the commuting estimates given assumptions about likely travel time variability.
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