Analysis and integration of spatial data for transportation planning.
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Analysis and integration of spatial data for transportation planning.

Filetype[PDF-3.37 MB]


  • English

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    • Edition:
      Technical Report: Sept. 2006-Aug. 2008
    • NTL Classification:
      NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION ; NTL-PLANNING AND POLICY-PLANNING AND POLICY ; NTL-GEOGRAPHIC INFORMATION SYSTEMS-GEOGRAPHIC INFORMATION SYSTEMS ;
    • 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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