Abstract
A major problem in transportation modeling is the acquisition of quality employment data. Employment data are used in transportation planning to model the journey to work and other types of trips, but they rarely are collected solely for transportation purposes because of the large expense involved. Census data, on the other hand, are inexpensive but are collected only every 10 years (although the American Community Survey provides some continuous data). This presentation outlines and assesses a process to develop systems and protocols for using an already-collected set of detailed employment data for an alternative purpose, transportation planning. Tapping this source may provide an ongoing, economical, and annual source of important transportation data that allows planners to better model and predict transportation needs, from the commuter and the business perspective. A better understanding of travel patterns, in turn, helps planners to evaluate investments in fixed physical infrastructure and public transportation. The data set also has valuable uses in other fields, such as workforce development planning, economic development, land use planning, and social service delivery. The success of this project required intergovernmental cooperation from several key partners.
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