ParkIndex:Validation and application of a pragmatic measure of park access and use
| Autor: | Andrew T. Kaczynski, Jasper Schipperijn, Ellen W. Stowe, Marilyn E Wende, Elizabeth L. Oliphant, S. Morgan Hughey, J. Aaron Hipp |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Environmental justice
Measure (data warehouse) Measurement Neighborhood Park media_common.quotation_subject lcsh:R Public Health Environmental and Occupational Health lcsh:Medicine Poison control Regular Article 030209 endocrinology & metabolism Health Informatics Intervention planning 03 medical and health sciences 0302 clinical medicine Geography Park use Community health Quality Score Quality (business) 030212 general & internal medicine Metric (unit) Socioeconomics media_common |
| Zdroj: | Kaczynski, A T, Hughey, S M, Stowe, E W, Wende, M E, Hipp, J A, Oliphant, E L & Schipperijn, J 2020, ' ParkIndex : Validation and application of a pragmatic measure of park access and use ', Preventive Medicine Reports, vol. 20, 101218 . https://doi.org/10.1016/j.pmedr.2020.101218 Preventive Medicine Reports Preventive Medicine Reports, Vol 20, Iss, Pp 101218-(2020) |
| Popis: | Highlights • Composite measures of park availability, features, and quality are lacking. • Detailed park access and use data were collected in four diverse communities. • Number of parks, total acreage, and average park quality were related to park use. • Simulated addition and renovation of parks increased the probability of park use. • ParkIndex has value for advancing public health and environmental justice. Composite metrics integrating park availability, features, and quality for a given address or neighborhood are lacking. The purposes of this study were to describe the validation, application, and demonstration of ParkIndex in four diverse communities. This study occurred in Fall 2018 in 128 census block groups within Seattle(WA), Brooklyn(NY), Raleigh(NC), and Greenville County(SC). All parks within a half-mile buffer were audited to calculate a composite park quality score, and select households provided data about use of proximal parks via an online, map-based survey. For each household, the number of parks, total park acreage, and average park quality score within one half-mile were calculated using GIS. Logistic regression was used to identify a parsimonious model predicting park use. ParkIndex values (representing the probability of park use) were mapped for all study areas and after scenarios involving the addition and renovation/improvement of parks. Out of 360 participants, 23.3% reported visiting a park within the past 30 days. The number of parks (OR = 1.36, 95% CI = 1.15–1.62), total park acreage (OR = 1.13, 95% CI = 1.07–1.19), and average park quality score (OR = 1.04, 95% CI = 1.01–1.06) within one half-mile were all associated with park use. Composite ParkIndex values across the study areas ranged from 0 to 100. Hypothetical additions of or renovations to study area parks resulted in ParkIndex increases of 22.7% and 19.2%, respectively. ParkIndex has substantial value for park and urban planners, citizens, and researchers as a common metric to facilitate awareness, decision-making, and intervention planning related to park access, environmental justice, and community health. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|