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Jon Makler, AICP | @ plangineering Portland State University

j. oy. Jon Makler, AICP | @ plangineering Portland State University Oregon Transportation Research & Education Consortium. OF WEB-BASED, GEOSPATIAL TRANSIT PERFORMANCE DATA ARCHIVES. Morgan Harvey, Programmer. Dr. Kristin Tufte, Technical Lead. Ryan Peterson, GIS Tech.

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Jon Makler, AICP | @ plangineering Portland State University

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  1. j oy Jon Makler, AICP | @plangineering Portland State University Oregon Transportation Research & Education Consortium OF WEB-BASED, GEOSPATIAL TRANSIT PERFORMANCE DATA ARCHIVES

  2. Morgan Harvey, Programmer Dr. Kristin Tufte, Technical Lead Ryan Peterson, GIS Tech Steve Callas Service & Performance Analysis Manager

  3. portal.its.pdx.edu Why? • More informed decision making through visualization • Efficient support for user requests for data • Enable innovative performance analysis

  4. portal.its.pdx.edu What Will We Cook Today? Transit Performance Data Web-based Geospatial

  5. portal.its.pdx.edu Ingredients

  6. portal.its.pdx.edu Menu Planning

  7. portal.its.pdx.edu Prepare the Ingredients! • Prepare GTFS data and set aside • Collect daily APC and AVL data • Clean the data based on error messages, mismatched ons and offs, more • Aggregate by quarter for “typical” data • Be prepared for strange values (partial people) • Export data with enough fields to support GTFS matching

  8. portal.its.pdx.edu Step 1: Convert GTFS to Feature Class

  9. portal.its.pdx.edu Step 2: ArcPy converts pattern lines to stop segments 6 14 33 Now you can match GTFS and PAX Data!

  10. portal.its.pdx.edu Step 3: Create Minimum Stop Segments 6 14 33 Now you can aggregate across routes!

  11. portal.its.pdx.edu Choices • Segment- and stop-based measures • Query options (time, day, season, year) • Display options (absolute and relative)

  12. portal.its.pdx.edu Garnish and Serve!

  13. portal.its.pdx.edu Garnish and Serve!

  14. portal.its.pdx.edu Garnish and Serve!

  15. portal.its.pdx.edu Garnish and Serve!

  16. portal.its.pdx.edu Dessert(aka, next steps) • Cartographic refinements • Line Offsets • Point symbology • Integrate data visualizations (pie charts & plots) • Data download capability • Non-temporal queries

  17. Jon Makler makler@pdx.edu @plangineering portal.its.pdx.edu Thank You!

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