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LC ED 2018

LC ED 2018

Slides for my 2018 Saint Louis University Learning Community ED Talk

Christopher Prener

October 02, 2018
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  1. DEFENDING URBAN SPACE: SYSTEMATIC STREET CLOSURES IN ST. LOUIS CHRIS

    PRENER, PH.D. LEARNING COMMUNITY ED TALKS 2018
  2. CONTRIBUTORS Joel Jennings, Ph.D. Taylor Braswell, M.A. Abby Block
 Andrew

    Smith
 Jeffrey Meyer
 Stephanie Fortune Kyle Miller, B.A. Abbey Curran
 Cree Foeller
 Maddie Baumgart
 

  3. BARRIER LOCATIONS Current Barrier Density City of 
 St. Louis

    Projection:
 NAD 1983 Missouri State Plane East greater density n of barriers = 270 Data:
 Equal interval classes; k-density raster output of barrier point locations
  4. QUESTION 2 How does the built
 environment shape our
 social

    experiences - specifically,
 does a neighborhood with more barriers have less crime? ?
  5. QUESTION 3 If barrier density is 
 positively related to

    crime
 at the neighborhood level,
 are blocks that are closed safer than the surrounding neighborhood? ?
  6. QUESTION 3 - BLOCK LEVEL EFFECTS ON CRIME CITY-WIDE RESULTS

    This analysis focuses on violent crime counts because of the high number of blocks with a “0” population. Closed blocks have, on average, higher violent crime rates. Category n mean Not Blocked 15037 0.365 Blocked 959 0.556 W = 6397000, p < .001, d = .143
  7. QUESTION 3 - BLOCK LEVEL EFFECTS ON CRIME CITY-WIDE RESULTS

    This analysis focuses on part 1 crime counts because of the high number of blocks with a “0” population. Closed blocks have, on average, higher part 1 crime rates. Category n mean Not Blocked 15037 1.509 Blocked 959 2.578 W = 5401200, p < .001, d = .262
  8. LOCAL EFFECTS? Current Barrier Density greater density n of barriers

    = 270 Data:
 Equal interval classes; k-density raster output of barrier point locations
  9. LOCAL EFFECTS? n of barriers = 270 Segregation Current Barrier

    Density greater density Data:
 Equal interval classes; k-density raster output of barrier point locations
  10. LOCAL EFFECTS? n of barriers = 270 Current Barrier Density

    greater density Data:
 Equal interval classes; k-density raster output of barrier point locations 1 - 6 Barriers per
 Neighborhood 7 - 12 13 - 17 18 - 23 24 - 29 Data:
 Equal interval classes n of valid neighborhoods = 49
  11. NEIGHBORHOOD RESULTS This analysis focuses on violent crime counts because

    of the high number of blocks with a “0” population. 6 of the 49 neighborhoods had a statistically significant mean difference between open and closed blocks. Neighborhood % closed mean, open mean, closed p d Downtown West 1.6% 0.434 0 p < .001 0.402 Covenant Blu / Grand Center 9.7% 0.554 0.077 p < .001 0.278 The Ville 10.9% 0.575 0.077 p < .001 0.431 Kingsway East 19.2% 1.086 2.158 p < .001 -0.616 Penrose 4.5% 0.627 0.182 p < .001 0.322 Skinker DaBaliviere 36.4% 0.147 0.535 p < .001 -0.579
  12. NEIGHBORHOOD RESULTS This analysis focuses on part 1 crime counts

    because of the high number of blocks with a “0” population. 9 of the 49 neighborhoods had a statistically significant mean difference between open and closed blocks. Neighborhood % closed mean, open mean, closed p d Tiffany 16.4% 1.125 2.909 p < .05 -0.832 Downtown West 1.6% 2.244 14.833 p < .05 -2.505 Central West End 32.9% 2.946 4.591 p < .05 -0.220 Vandeventer 3.7% 1.924 0.333 p < .05 0.607 Visitation Park 38.9% 1.909 5.571 p < .05 -1.190 Jeff Vanderlou 6.2% 1.292 2.346 p < .05 -0.429 West End 25.3% 2.043 3.915 p < .05 -0.474 Penrose 4.5% 1.897 1.000 p < .05 0.258 Skinker DaBaliviere 36.4% 1.773 3.070 p < .05 -0.456
  13. These slides are available via SpeakerDeck:
 https://speakerdeck.com/chrisprener/lc-ed-2018 LEARN MORE THANKS

    FOR COMING! Caution Text You can find out more about our project and download our data on the locations of all known barriers at:
 https://chris-prener.github.io/barriers/ [email protected]
 https://chris-prener.github.io
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