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Analysis and integration of spatial data for transportation planning.
  • Published Date:
    2009-06-01
  • Language:
    English
Filetype[PDF-3.37 MB]


Details:
  • Publication/ Report Number:
    FHWA/TX-09/0-5696-1
  • Resource Type:
  • Geographical Coverage:
  • Edition:
    Technical Report: Sept. 2006-Aug. 2008
  • NTL Classification:
    NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATIONNTL-PLANNING AND POLICY-PLANNING AND POLICY ; NTL-GEOGRAPHIC INFORMATION SYSTEMS-GEOGRAPHIC INFORMATION SYSTEMS ;
  • Format:
  • Abstract:
    Transportation planning requires substantial amounts of data and cooperation among transportation planning

    agencies. Advances in computer technology and the increasing availability of geographic information

    systems (GIS) are giving transportation planners the ability to develop and use data with a much higher

    degree of efficiency. However, as information systems advance, the need to provide effective data

    integration/exchange protocols and procedures to reduce redundancy and data collection costs is becoming

    more important. Many factors influence the effectiveness of data exchange and data integration efforts, such

    as data compatibility, data access, data quality, completeness, metadata, hardware, software, and staff

    expertise. This research resulted in a catalog of spatial data sources available to transportation planning

    agencies in Texas. The work included a synthesis of current transportation planning practices in Texas with

    a focus on spatial data integration and exchange issues, meetings with transportation planning and data

    stakeholders, the development of a map of data sources, the development of a preliminary logical data model

    of spatial data entities, and a compilation of metadata documents for a sample of data sources. Developing

    the catalog of categories and subcategories for transportation planning spatial data was an iterative process

    that involved several rounds of data entity categorization; analysis of the resulting structure for

    inconsistencies, gaps, and redundancies; and subsequent changes to the data entity categorization scheme. In

    the end, the three-level grouping structure resulted in 7 categories, 63 subcategories, and 589 spatial data

    entities. The research also resulted in a prototype web-based map and metadata viewer called Transportation

    Planning GIS (TPGIS) Data Viewer.

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