Data integration for statewide transportation planning : final report
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Data integration for statewide transportation planning : final report

Filetype[PDF-2.84 MB]

  • English

  • Details:

    • Alternative Title:
      Data integration and partnership for statewide transportation planning
    • Publication/ Report Number:
    • Resource Type:
    • Geographical Coverage:
    • Edition:
      Final Report, 2008-2009
    • NTL Classification:
    • Abstract:
      The goal of this study was to investigate the data availability, accessibility, and interoperability issues arisen from the statewide

      transportation planning activities undertaken at WisDOT and to identify possible approaches for addressing these issues. A survey and a

      series of interviews were conducted with data users (planners) to identify current data use practices and the issues encountered when

      dealing with WisDOT-owned and non-WisDOT-owned datasets. Interviews were also conducted with data custodians and IT support

      staff to obtain information regarding the collection, maintenance and updating of frequently used planning data. The interview process

      confirmed some of the survey findings but also revealed differing views and data users’ misconceptions of the availability and quality of

      planning data. The information collected about existing datasets was used to develop a catalog of planning data (with a focus on nonhighway

      data) and a series of data flow diagrams to help documenting and informing data users of existing datasets.

      Based on the findings through the various stages of this project, five recommendations were generated to help WisDOT in addressing

      the data challenges and opportunities relating to transportation planning: (1) information dissemination, (2) centralized data platform, (3)

      designated data coordinator, (4) data access tool for long range planning, and (5) data standardization. Information dissemination and

      centralized data platform are the low-hanging fruit that would address several data challenges with a relatively short timeframe. The

      remaining three recommendations require more financial and time investment and also stronger agency commitment to changing the

      current business practices. However, they are expected to yield high benefits in the long term.

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