Abstract
Updating and maintaining geographic information systems—transportation (GIS-T) data is proving difficult. Different database formats needed to support diverse applications lead to inconsistencies and inaccuracies and to duplication in updating. A clearinghouse approach is recommended for the collection and dissemination of new transportation features. This clearinghouse allows users to control the selection and segmentation of transportation features to update existing GIS-T databases to meet the needs of various private and public applications. Dayforward updating is recommended as the most appropriate technique for supporting existing systems without having to impose a new data model or a common identification schema. This approach is advantageous in that it is based on collecting data about new or changed transportation features once and uses the data many times to update existing databases. Four case studies are proposed as proof of concept and to pilot the day-forward GIS-T data-sharing clearinghouse concept.
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