Unintended impacts of the Open Streets program on noise complaints in New York City.
Environ Res
; 224: 115501, 2023 05 01.
Article
in En
| MEDLINE
| ID: mdl-36796610
ABSTRACT
BACKGROUND:
During the COVID-19 pandemic, several cities allocated more public spaces for physical activity and recreation instead of road transport through Open Streets. This policy locally reduces traffic and provides experimental testbeds for healthier cities. However, it may also generate unintended impacts. For instance, Open Streets may impact the levels of exposure to environmental noise but there are no studies assessing these unintended impacts.OBJECTIVES:
Using noise complaints from New York City (NYC) as a proxy of annoyance caused by environmental noise, we estimated associations at the census tract level between same-day proportion of Open Streets in a census tract and noise complaints in NYC.METHODS:
Using data from summer 2019 (pre-implementation) and summer 2021 (post-implementation), we fit regressions to estimate the association between census tract-level proportion of Open Streets and daily noise complaints, with random effects to account for within-tract correlation and natural splines to allow non-linearity in the estimated association. We accounted for temporal trends and other potential confounders, such as population density and poverty rate.RESULTS:
In adjusted analyses, daily street/sidewalk noise complaints were nonlinearly associated with an increasing proportion of Open Streets. Specifically, compared to the mean proportion of Open Streets in a census tract (0.11%), 5% of Open Streets had a 1.09 (95% CI 0.98, 1.20) and 10% had a 1.21 (95% CI 1.04, 1.42) times higher rate of street/sidewalk noise complaints. Our results were robust to the choice of data source for identifying Open Streets.CONCLUSION:
Our findings suggest that Open Streets in NYC may be linked to an increase in street/sidewalk noise complaints. These results highlight the necessity to reinforce urban policies with a careful analysis for potential unintended impacts to optimize and maximize the benefits of these policies.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pandemics
/
COVID-19
Type of study:
Prognostic_studies
Limits:
Humans
Country/Region as subject:
America do norte
Language:
En
Journal:
Environ Res
Year:
2023
Type:
Article