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.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 Hdatadive/

Doing the same thing in Google Fusion Tables With formatted addresses: ex Main Street, Detroit, MI 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)link here Layers give richness to map Census information Additional points of interest Additional tutorial (link here)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:

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