Transportation is an inherently spatial phenomenon.
Geographic information systems enable such spatial data to be correlated, thereby facilitating a host of analyses in support of the transportation planning process. The objective of this research has been to develop a methodology for transforming and dynamically segmenting data. Dynamic segmentation enables transportation system attributes and associated data to be stored in separate tables and merged when a specific query requires a particular set of data to be considered. A major benefit of dynamic segmentation is that individual tables can be more easily updated when attributes, performance characteristics, or usage patterns change over time. Applications of a progressive geographic database referencing system in transportation planning are vast.