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Focus: HOPE
Output from the A2 Datadive (February 2012)




                    Except where otherwise noted, this work is available under a Creative Commons
                    Attribution 3.0 License.
                    Copyright © 2012 The Regents of the University of Michigan.
Mapping Participant data
• The Data:
  • Participants of various Focus: HOPE programs identified by their
    addresses
• The Work:
  • Associated each address with a Unique ID
  • Addresses were “cleaned” of personal information
  • Addresses were then geocoded (latitude, longitude)
  • Points mapped to show geographic dispersion
Map of Focus: HOPE Participants




source: American Community Survey (files: “acsFocusHopeDictionary.csv”
and “acsFocusHopeEstimates”) and and Focus: HOPE participant data
Map of Focus: HOPE Participants

 LINK TO INTERACTIVE MAP
 ON GOOGLE FUSION TABLES
http://projects.datadrivendetroit.org/F
              Hdatadive/
Doing the same thing in Google
Fusion Tables
• With formatted addresses:
    • ex. 1342 Main Street, Detroit, MI 48238
•   Save in Excel as a .csv file (comma separated values)
•   In Google Docs, start a new “Table (beta)”
•   Upload the address .csv file
•   Under “File” select “Geocode”
•   Under “Visualize” select “Map” to map the points
•   There are ways to extend these maps:
    • Fusion Table Layers Wizard (link here)
    • Layers give richness to map
       • Census information
       • Additional points of interest
• Additional tutorial (link here)
A Demographic Picture of the Hope
Village Initiative Neighborhood




    • Focus: HOPE’s HVI census tracts are not so very different than the
      rest of Detroit
    • How to read this table:
    • N = number of tracts, Median, Minimum value, Maximum value

source: file “Census Summary Stats HVI vs DET.rtf” and US Census
Public Safety, Traffic, and Access
• Focus:HOPE facilities and other HVI neighborhood amenities
  (schools, shops) may be accessed differently by different
  participants
  • HVI residents
     • Walk, bike, car, transit
  • Non-HVI residents
     • Car, transit
• HVI residents may face some barriers to participation
  • Pedestrian safety – noted by pedestrian injury and crash severity
    on some roads
     • Davison (people are using pedestrian island near Linwood, despite
       topped barriers)
     • Fenkell
  • Fencing of commercial/industrial properties and small number of
    North-South pass-throughs lengthens walk/bike trips
Public Safety, Traffic, and Access




source: http://www.semcog.org/Data/Maps/roads.map.cfm
Recommendations for Future
Data Collection
• Standardization across reporting forms
  • Each program should use the same form
• Street Address should be in a separate field than Apt No.
  • Makes geocoding easier
• Street Address should include:
  • What type of street it is (Street, Drive, Rd)
  • Directional information as necessary (West, East)
• To monitor participants across programs consider uploading
  participant data into a Microsoft Access database
  • Each participant would automatically be given a UniqueID
  • You can create an interface to make data entry easier
Future Areas of Research
• Compare HVI area against a “statistically” similar geographic area
  and compare over the life-span of the Hope Village Initiative
   • Could run more “robust” statistics in the future of the impact of the HVI
• In the future, considering asking residents how they traveled to
  facility
   • Want to understand whether people are able to access the facilities and
     if so how

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A2 datadive focus hope final presentation

  • 1. Focus: HOPE Output from the A2 Datadive (February 2012) Except where otherwise noted, this work is available under a Creative Commons Attribution 3.0 License. Copyright © 2012 The Regents of the University of Michigan.
  • 2. Mapping Participant data • The Data: • Participants of various Focus: HOPE programs identified by their addresses • The Work: • Associated each address with a Unique ID • Addresses were “cleaned” of personal information • Addresses were then geocoded (latitude, longitude) • Points mapped to show geographic dispersion
  • 3. Map of Focus: HOPE Participants source: American Community Survey (files: “acsFocusHopeDictionary.csv” and “acsFocusHopeEstimates”) and and Focus: HOPE participant data
  • 4. Map of Focus: HOPE Participants LINK TO INTERACTIVE MAP ON GOOGLE FUSION TABLES http://projects.datadrivendetroit.org/F Hdatadive/
  • 5. Doing the same thing in Google Fusion Tables • With formatted addresses: • ex. 1342 Main Street, Detroit, MI 48238 • Save in Excel as a .csv file (comma separated values) • In Google Docs, start a new “Table (beta)” • Upload the address .csv file • Under “File” select “Geocode” • Under “Visualize” select “Map” to map the points • There are ways to extend these maps: • Fusion Table Layers Wizard (link here) • Layers give richness to map • Census information • Additional points of interest • Additional tutorial (link here)
  • 6. A Demographic Picture of the Hope Village Initiative Neighborhood • Focus: HOPE’s HVI census tracts are not so very different than the rest of Detroit • How to read this table: • N = number of tracts, Median, Minimum value, Maximum value source: file “Census Summary Stats HVI vs DET.rtf” and US Census
  • 7. Public Safety, Traffic, and Access • Focus:HOPE facilities and other HVI neighborhood amenities (schools, shops) may be accessed differently by different participants • HVI residents • Walk, bike, car, transit • Non-HVI residents • Car, transit • HVI residents may face some barriers to participation • Pedestrian safety – noted by pedestrian injury and crash severity on some roads • Davison (people are using pedestrian island near Linwood, despite topped barriers) • Fenkell • Fencing of commercial/industrial properties and small number of North-South pass-throughs lengthens walk/bike trips
  • 8. Public Safety, Traffic, and Access source: http://www.semcog.org/Data/Maps/roads.map.cfm
  • 9. Recommendations for Future Data Collection • Standardization across reporting forms • Each program should use the same form • Street Address should be in a separate field than Apt No. • Makes geocoding easier • Street Address should include: • What type of street it is (Street, Drive, Rd) • Directional information as necessary (West, East) • To monitor participants across programs consider uploading participant data into a Microsoft Access database • Each participant would automatically be given a UniqueID • You can create an interface to make data entry easier
  • 10. Future Areas of Research • Compare HVI area against a “statistically” similar geographic area and compare over the life-span of the Hope Village Initiative • Could run more “robust” statistics in the future of the impact of the HVI • In the future, considering asking residents how they traveled to facility • Want to understand whether people are able to access the facilities and if so how