@article {King:2018:0736-2935:1761,
title = "Mapping Tranquility - A Case Study Of The Central Park Soundscape, New York City",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2018",
volume = "258",
number = "6",
publication date ="2018-12-18T00:00:00",
pages = "1761-1769",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2018/00000258/00000006/art00081",
author = "King, Eoin and Caltagirone, Elizabeth and Steers, Ben and Slaboch, Paul",
abstract = "In urban areas it is important to provide citizens with green spaces to relax and unwind to enhance psychological and physical well-being. These areas can be considered restorative settings, giving relief from cognitive overload and stress, and cities must do more to provide and protect
these areas. In order to help identify appropriate spaces, early research considering the concept of tranquility has yielded the Tranquility Rating Prediction Tool (TRAPT). The TRAPT assesses the overall noise level together with visual features in the space. This paper applies the concept
of a tranquility rating to develop a map of tranquility within Central Park in New York City. For this study, a team of 14 researchers walked predefined paths throughout the park. Noise levels were recoded with dosimeters, locations were logged using GPS-enabled smartphones, photographs were
taken at regular intervals, and any extraneous noise events were logged using a dedicated smartphone app. All datasets were time-stamped and geo-localized and were used to develop a map of tranquility in Central Park.",
}