Known associations between the built environment and health outcomes have accelerated research examining racial/ethnic and income disparities in access to parks and other community features that support physical activity. Currently, it cannot be concluded that park characteristics are equal in quantity or condition across areas of disparate race/ethnicity and income composition. This study examined natural and built park characteristics across areas of different race/ethnicity and income composition to identify potential disparities. Twenty-one parks in Greensboro, NC (USA), located in minority or non-minority areas and in low or medium-high income areas were inventoried using a park audit tool and GIS. Parks were compared on number of activity areas, features, amenities, size, percent tree canopy, cleanliness, and condition. Independent sample t tests and Mann-Whitney tests were used to compare means of outcome variables. Fisher's exact tests were applied for categorical variables. Fewer wooded areas and more trash cans were found in low-income and minority areas as compared to medium-high income and non-minority areas. Low-income areas were found to have more picnic areas than their counterparts. Sitting and resting features in non-minority areas were found to be cleaner than those in minority areas. Results showed some evidence of disparities in park characteristics. Findings can inform park policy and design as well as renovations and maintenance procedures, particularly in specific areas where existing disparities were identified.
22In 2009, five unique methods were used to inspect vegetation-related conditions along Bonneville Power Administration (BPA) rights-of-way (ROW). Some methods were trials that BPA committed to execute as part of a settlement with its regional regulatory organization, the Western Electric Coordination Council (WECC), for violations of reliability standards from vegetation grow-in related outages. A combination of simple, stratified, and 100% sampling were used to compare and contrast each inspection technique. A cost-replacement comparison between all inspection techniques was performed, weighting efficacy of one technique to another in the form of replacement value. Cost-benefit and return-on-investment analyses were also computed. From these analyses, LiDAR proved most effective in identifying vegetation related clearance issues but proved most costly, at least for initial establishment. The average cost of LiDAR trended downward with subsequent flights. The most cost effective method was using helicopters with either Natural Resource Specialists (NRS) or Transmission Line Maintenance (TLM) personnel serving as aerial observers, but this methodology proved the most inaccurate. Furthermore, the ancillary utility of LiDAR for related asset assessments more than justify the initial expense, includes power line sag ratings, asset (structures, insulators, roads, etc.) health, and encroachment identification. It is hypothesized that incorporating LiDAR sampling from 20% of the whole system per year to 40+ % may actually represent a cost-savings when allocating available resources system-wide. This data can also be used for documenting compliance with all federal regulations and requirements, as well as substitute for manual on-the-ground inspections, whether by BPA staff or third-party contractors.
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