scholarly journals The Role of the Physical and Social Environment in Observed and Self-Reported Park Use in Low-Income Neighborhoods in New York City

2021 ◽  
Vol 9 ◽  
Author(s):  
Javier E. Otero Peña ◽  
Hanish Kodali ◽  
Emily Ferris ◽  
Katarzyna Wyka ◽  
Setha Low ◽  
...  

Physical and social environments of parks and neighborhoods influence park use, but the extent of their relative influence remains unclear. This cross-sectional study examined the relationship between the physical and social environment of parks and both observed and self-reported park use in low-income neighborhoods in New York City. We conducted community- (n = 54 parks) and individual-level (n = 904 residents) analyses. At the community level, observed park use was measured using a validated park audit tool and regressed on the number of facilities and programmed activities in parks, violent crime, stop-and-frisk incidents, and traffic accidents. At the individual level, self-reported park use was regressed on perceived park quality, crime, traffic-related walkability, park use by others, and social cohesion and trust. Data were collected in 2016–2018 and analyzed in 2019–2020. At the community level, observed park use was negatively associated with stop-and-frisk (β = −0.04; SE = 0.02; p < 0.05) and positively associated with the number of park facilities (β = 1.46; SE = 0.57; p < 0.05) and events (β = 0.16; SE = 0.16; p < 0.01). At the individual level, self-reported park use was positively associated with the social cohesion and trust scale (β = 0.02; SE = 0.01; p < 0.05). These results indicate that physical and social attributes of parks, but not perceptions of parks, were significantly associated with park use. The social environment of neighborhoods at both community and individual levels was significantly related to park use. Policies for increasing park use should focus on improving the social environment of parks and surrounding communities, not only parks' physical attributes. These findings can inform urban planning and public health interventions aimed at improving the well-being of residents in low-income communities.

2019 ◽  
Vol 38 ◽  
pp. 346-353 ◽  
Author(s):  
Oriol Marquet ◽  
J. Aaron Hipp ◽  
Claudia Alberico ◽  
Jing-Huei Huang ◽  
Dustin Fry ◽  
...  

2020 ◽  
Author(s):  
Jeffrey E Harris

During a fast-moving epidemic, timely monitoring of case counts and other key indicators of disease spread is critical to an effective public policy response. We describe a nonparametric statistical method - originally applied to the reporting of AIDS cases in the 1980s - to estimate the distribution of reporting delays of confirmed COVID-19 cases in New York City. During June 21 - August 1, 2020, the estimated mean delay in reporting was 5 days, with 15 percent of cases reported after 10 or more days. Relying upon the estimated reporting-delay distribution, we project COVID-19 incidence during the most recent three weeks as if each case had instead been reported on the same day that the underlying diagnostic test had been performed. The statistical method described here overcomes the problem of reporting delays only at the population level. The method does not eliminate reporting delays at the individual level. That will require improvements in diagnostic technology, test availability, and specimen processing.


2020 ◽  
Vol 131 ◽  
pp. 105948 ◽  
Author(s):  
Jing-Huei Huang ◽  
J. Aaron Hipp ◽  
Oriol Marquet ◽  
Claudia Alberico ◽  
Dustin Fry ◽  
...  

2018 ◽  
Vol 95 (6) ◽  
pp. 888-898 ◽  
Author(s):  
Wenya Yu ◽  
Chen Chen ◽  
Boshen Jiao ◽  
Zafar Zafari ◽  
Peter Muennig

2018 ◽  
Vol 30 (1) ◽  
pp. 109-145 ◽  
Author(s):  
Katia Chirkova ◽  
James N. Stanford ◽  
Dehe Wang

AbstractLabov's classic study,The Social Stratification of English in New York City(1966), paved the way for generations of researchers to examine sociolinguistic patterns in many different communities (Bell, Sharma, & Britain, 2016). This research paradigm has traditionally tended to focus on Western industrialized communities and large world languages and dialects, leaving many unanswered questions about lesser-studied indigenous minority communities. In this study, we examine whether Labovian models for age, sex, and social stratification (Labov, 1966, 2001; Trudgill, 1972, 1974) may be effectively applied to a small, endangered Tibeto-Burman language in southwestern China: Ganluo Ersu. Using new field recordings with 97 speakers, we find evidence of phonological change in progress as Ganluo Ersu consonants are converging toward Chinese phonology. The results suggest that when an endangered language undergoes convergence toward a majority language due to intense contact, this convergence is manifested in a socially stratified way that is consistent with many of the predictions of the classic Labovian sociolinguistic principles.


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