This paper illustrates the estimation of the nationwide ZIP-to-ZIP drive time matrix in the U.S. The approach requires less data preparation and computational power as trip lengths increase, providing quality results. It aims to support a study on national health care market structure and serve as a resource for spatial analysis on a large scale (Hu et al., year).
The drive times derived by the Google Maps API on randomly-sampled OD pairs help improve preliminary estimates and validate methods of varying computational complexity.
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