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2000115-Strengthening-Communities-with-Neighborhood-Data

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92 <strong>Strengthening</strong> <strong>Communities</strong> <strong>with</strong> <strong>Neighborhood</strong> <strong>Data</strong><br />

describes two primary data collection methods often used to create<br />

neighborhood indicators: observational surveys and household surveys.<br />

Observational Surveys<br />

Observational surveys involve individuals visually identifying a set of<br />

neighborhood or property conditions and completing a protocol to<br />

record the data. The rigor of data collection varies widely, but the ideal<br />

process includes clear definitions of the characteristics being captured,<br />

training of the data collectors, and data-quality checks. These surveys<br />

have been used to capture deficits in a neighborhood, such as graffiti or<br />

trash, as well as community assets, such as parks and fresh food outlets.<br />

Observational surveys have often been used to compensate for the<br />

lack of sound information on vacancy and property conditions, as<br />

even the most advanced city agencies have trouble collecting these data<br />

through administrative systems or self-reporting. In Detroit, Michigan,<br />

the Detroit Residential Parcel Survey offers one example of how surveys<br />

successfully filled this critical data gap. Although the extreme problem of<br />

vacant and abandoned buildings in Detroit was undisputed, no citywide<br />

information existed before 2009 to develop scenarios and make informed<br />

decisions about different areas of the city. In response to this need, the<br />

survey project was conceived and implemented by the <strong>Data</strong> Collaborative,<br />

a partnership between the Detroit Office of Foreclosure Prevention<br />

and Response, Community Legal Resources, and <strong>Data</strong> Driven Detroit<br />

(the local NNIP partner). In two months in 2009, surveyors recorded the<br />

conditions of every residential property <strong>with</strong> one to four housing units<br />

in the city of Detroit, totaling about 350,000 structures. The surveyors<br />

recorded property type, property condition, fire damage, lot vacancy,<br />

and type of structures. The collaborative published the results in static and<br />

interactive maps accessible to the government, community groups, and the<br />

public. <strong>Data</strong> Driven Detroit took advantage of more sophisticated technology<br />

to update the parcel survey in 2014, and their plans included ways<br />

to keep the information continuously updated (Detroit Blight Removal<br />

Task Force 2014). 6<br />

In addition to obtaining information about properties, observational<br />

surveys are often used to measure walkability and the quality of the built<br />

environment. The Irvine Minnesota Inventory is a well-tested audit<br />

tool for capturing features that promote physical activity, particularly<br />

walking (Day 2006). Developed and refined by the University of Cali-

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