A combined assessment of air and noise pollution on the High Line, New York City
Citation:
E.A. King, E.P. Bourdeau, X.Y.K. Zheng, Francesco Pilla, A combined assessment of air and noise pollution on the High Line, New York City, Transportation Research Part D Transport and Environment, 2015Download Item:
ViewPageProof_TRD_1178.pdf (Accepted for publication (author's copy) - Peer Reviewed) 3.335Mb
Abstract:
The High Line is an elevated public park in New York City, transformed from an unused
freight rail line. Pedestrians walking through Manhattan’s West Side can walk either on
the High Line or on a footpath below. Using Manhattan as a laboratory, this paper offers
a combined assessment of noise and particulate matter pollution for its pedestrians.
Noise and PM
levels were recorded simultaneously for two cases (i) pedestrians walking
on a footpath alongside road traffic and (ii) pedestrians walking on the elevated High Line.
Testing took places over three days in autumn 2014. Results were analysed to investigate if
pedestrians using the High Line would have a lower pollution exposure to those using the
footpath below. Results showed statistically significant differences between the upper and
lower levels in exposure to both pollution types. In order to quantify the overall impact,
results are expressed through a combined air–noise pollution index. This index indicates
that the average reduction in PM
2.5
and noise pollution along the High Line compared to
the footpath below is approximately 37%.
Author's Homepage:
http://people.tcd.ie/pillafDescription:
PUBLISHED
Author: PILLA, FRANCESCO
Type of material:
Journal ArticleSeries/Report no:
Transportation Research Part D Transport and Environment;Availability:
Full text availableSubject (TCD):
Smart & Sustainable Planet , AIR QUALITY MONITORING , AIR-POLLUTANTS , Air pollution monitoring and assessment , EXPOSURE , EXPOSURE ASSESSMENT , Multisensory technology, multi sensing , NOISE , Noise Pollution , Noise pollution monitoring and assessment , SENSING , mobile environmental sensingLicences: