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Measuring Urban Design Reid Ewing Department of City and Metropolitan Planning University of Utah

Measuring Urban Design Reid Ewing Department of City and Metropolitan Planning University of Utah. Two Applications. Book by Island Press Street Life App for HUD Sustainable Communities Project. Hardest D to Operationalize. Work Plan. Expert Panel Literature Review with Definitions

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Measuring Urban Design Reid Ewing Department of City and Metropolitan Planning University of Utah

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  1. Measuring Urban Design Reid Ewing Department of City and Metropolitan Planning University of Utah

  2. Two Applications Book by Island Press Street Life App for HUD Sustainable Communities Project

  3. Hardest D to Operationalize

  4. Work Plan • Expert Panel • Literature Review with Definitions • Library of Video Clips • Visual Assessment Survey • Quantitative and Qualitative Analyses • Instrument Development, Testing, and Training • Illustrated Field Manual

  5. National Expert Panel Victor Dover - urban designer Rob Lane - urban designer Geoffrey Ferrell - urban designer/code expert Tony Nelessen - urban designer Anne Vernez Moudon - urban designer/planner Mark Francis - landscape architect Michael Southworth - urban designer Michael Kwartler - architect/simulations expert John Peponis - architect/space syntax expert Dan Stokols - social ecologist

  6. 41 qualities 8 qualities Imageability Enclosure Human Scale Transparency Linkage Complexity Coherence Legibility Perceptual Qualities

  7. Best Match RunHigh Values of All Eight Qualities

  8. Best Match RunHigh Values of Imageability, Human Scale, Linkage, and Tidiness

  9. Best Match RunHigh Values of Enclosure, Transparency, Complexity, and Coherence

  10. Best Match RunLow Values of All Qualities

  11. Expert Panel Ratings

  12. Best-Fit Imageability Model

  13. Best-Fit Enclosure Model

  14. Best-Fit Human Scale Model

  15. Best-Fit Transparency Model

  16. Best-Fit Complexity Model

  17. Field Manual Focuses on Urban Design Qualities that Meet Performance Criteria • Imageability • Enclosure • Transparency • Human scale • Complexity

  18. Qualitative Introduction to Urban Design Quality

  19. Detailed Illustrated Steps

  20. Scoring Sheet

  21. JUD Article

  22. Columbia U Follow-Up More Complete and Tested Field Manual Rating of 588 Street Segments in NYC Translation to GIS Based System Relationship to BMI

  23. Field Manual

  24. Validation Against Pedestrian Counts

  25. Sampled Street Segments

  26. Dependent Variable

  27. Pedestrian Counts • High Correlation Among Independent Counts • Google Street View (588 cases) • Bing StreetSide (169 cases) • EveryScape (201 cases) • Manual Counts (588 cases) • High Reliability Among Independent Raters • 30 segments • 3 raters

  28. Google Street View 125 East 19th Street, Manhattan – BLOCK ID 128821-S

  29. EveryScape 125 East 19th Street, Manhattan – BLOCK ID 128821-S

  30. Bing 125 East 19th Street, Manhattan – BLOCK ID 128821-S

  31. Equivalence Reliability

  32. Inter-Rater Reliability

  33. Independent Variables

  34. D Variables Density – Floor Area Ratio Diversity – Entropy based on floor area Design – Intersection Density Destination Accessibility – Walk Score Distance to Transit – Miles to Nearest Transit Line Demographics – Per Capita Income

  35. Walk Score

  36. GIS Layers 1. NYC planning "LION" geodatabase that contains road centerline file, address, borough code, zip etc. 2. NYC_ALR_Blockfaces – this is the dataset that contains the original drawn block-faces with scoring data attached 3. CenterlineDataBuffer – created from street segments and used to capture .25 mile radius of land use (and eventually LU, transit, and SE data) 4. MapPluto – NYC Planning land use data set at parcel level

  37. FAR

  38. Walk Score

  39. Count Distribution

  40. NB Regression with Urban Design Variables

  41. Arlington County, VA’s Columbia Pike Special Revitalization District

  42. Transparency

  43. Measuring Transparency

  44. Measuring Transparency

  45. Measuring Transparency

  46. Scoring Sheet

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