Inventory of the physical environment domains and subdomains measured by neighborhood audit tools: A systematic literature review

Nickelson, Jen; Wang, April R.; Mitchell, Qshequilla P.; Hendricks, Kate; Paschal, Angelia M.

doi:10.1016/j.jenvp.2013.07.009

Cited by 39 publications

(45 citation statements)

References 35 publications

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“…The items were thus focused on the appropriate geography compared to place attachment scales that were developed to assess other locales, such as lakeside vacation homes or coffee shops. Similarly, the environmental audit of neighborhood diversity and density was chosen from the Irvine Minnesota Inventory, which was developed with from an expert panel to guide its conceptualization (Day, Boarnet, Alfonzo, & Forsyth, 2006) and has also been shown to be comprehensive (Nickelson, Wang, Mitchell, Hendricks, & Paschal, 2013) and reliable (Boarnet, Day, Alfonzo, Forsyth, & Oakes, 2006). …”

Section: Methodsmentioning

confidence: 99%

Environmental, behavioral, and psychological predictors of transit ridership: Evidence from a community intervention

Brown

Werner

Smith

et al. 2016

Journal of Environmental Psychology

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Understanding who takes advantage of new transit (public transportation) interventions is important for personal and environmental health. We examine transit ridership for residents living near a new light rail construction as part of “complete street,” pedestrian-friendly improvements. Adult residents (n=536) completed surveys and wore accelerometer and GPS units that tracked ridership before and after new transit service started. Transit riders were more physically active. Those from environments rated as more walkable were likely to be continuing transit riders. Place attachment, but not perceived physical incivilities on the path to transit, was associated with those who continued to ride or became new riders of transit. This effect was mediated through pro-city attitudes, which emphasize how the new service makes residents eager to explore areas around transit. Thus, place attachment, along with physical and health conditions, may be important predictors and promoters of transit use.

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Section: Methodsmentioning

confidence: 99%

Environmental, behavioral, and psychological predictors of transit ridership: Evidence from a community intervention

Brown

Werner

Smith

et al. 2016

Journal of Environmental Psychology

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“…Rather than relying on residents’ perceptions, trained researchers record indicators of neighborhood order and disorder using a standardized assessment tool. SSO also addresses the neighborhood definition problem because the specific geographic locations where observations take place can be documented, and the SSO data can then be linked to human data based on location of residence (Nickelson et al, 2013). Therefore, it is possible to examine the association between objectively-measured neighborhood disorder and health or social phenomena.…”

Section: Introductionmentioning

confidence: 99%

“…Much of this work was initiated by Douglas D. Perkins (e.g. (Perkins & Taylor, 1996; Perkins et al, 1992, 1993)), and there are several systematic reviews that document the evolution of the field (Nickelson et al, 2013; Schaefer-McDaniel et al, 2010). As this review notes, much of the SSO neighborhood research has focused on neighborhood context broadly, rather than neighborhood disorder in particular.…”

Section: Introductionmentioning

confidence: 99%

Evaluating nighttime observational measures of neighborhood disorder: Validity of the nighttime NIfETy assessment

Milam

Johnson

Nesoff

et al. 2016

Journal of Environmental Psychology

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While there are a growing number of observational instruments to assess the built and social dimensions of the neighborhood environment, there are few reliable and validated instruments; there are no instruments that assess the neighborhood environment during nighttime hours, a potential peak period of health and safety risk. The purpose of this investigation is to establish the metric properties of Neighborhood Inventory for Environmental Typology (NIfETy) Instrument nighttime ratings. Reliability of the scale was measured by internal consistency reliability and test re-test correlation. Validity was evaluated through correlation with the daytime NIfETy rating and regression models with local violent crime data. The nighttime items had good internal consistency (α = .81–82) for the total scale and acceptable internal consistency for a seven-item nighttime disorder scale (α = .66–.71). Future investigations will examine the nighttime NIfETy and its association with specific risk behaviors to evaluate changes in neighborhood environment.

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“…In the current case, the goal is to capture a specific ecometric, or measurement of a characteristic of the physical or social ecology of a neighborhood. Ecometrics have become increasingly popular in urban research writ large, and in community research more specifically, since the publication of Raudenbush and Sampson's (1999) rubric for their collection (also see Nickelson et al 2013 for a review). Drawing off of the long-standing traditions of psychometrics, their goal was to encourage survey and observational protocols that could generate ecometrics that were both robust in their content and reliable in their measurement.…”

Section: Ecometrics and Big Datamentioning

confidence: 99%

The Other Side of the Broken Window: A Methodology that Translates Building Permits into an Ecometric of Investment by Community Members

O’Brien

Montgomery

2014

American J of Comm Psychol

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Much research has focused on physical disorder in urban neighborhoods as evidence that the community does not maintain local norms and spaces. Little attention has been paid to the opposite: indicators of proactive investment in the neighborhood's upkeep. This manuscript presents a methodology that translates a database of approved building permits into an ecometric of investment by community members, establishing basic content, criteria for reliability, and construct validity. A database from Boston, MA contained 150,493 permits spanning 2.5 years, each record including the property to be modified, permit type, and date issued. Investment was operationalized as the proportion of properties in a census block group that underwent an addition or renovation, excluding larger developments involving the demolition or construction of a building. The reliability analysis found that robust measures could be generated every 6 months, and that longitudinal analysis could differentiate between trajectories across neighborhoods. The validity analysis supported two hypotheses: investment was best predicted by homeownership and median income; and maintained an independent relationship with measures of physical disorder despite controlling for demographics, implying that it captures the other end of a spectrum of neighborhood maintenance. Possible uses for the measure in research and policy are discussed.

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Inventory of the physical environment domains and subdomains measured by neighborhood audit tools: A systematic literature review

Cited by 39 publications

References 35 publications

Environmental, behavioral, and psychological predictors of transit ridership: Evidence from a community intervention

Environmental, behavioral, and psychological predictors of transit ridership: Evidence from a community intervention

Evaluating nighttime observational measures of neighborhood disorder: Validity of the nighttime NIfETy assessment

The Other Side of the Broken Window: A Methodology that Translates Building Permits into an Ecometric of Investment by Community Members

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