Skip to main content

Free Content Mapping Tranquility - A Case Study Of The Central Park Soundscape, New York City

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.

Document Type: Research Article

Affiliations: University of Hartford

Publication date: 18 December 2018

More about this publication?
  • The Noise-Con conference proceedings are sponsored by INCE/USA and the Inter-Noise proceedings by I-INCE. NOVEM (Noise and Vibration Emerging Methods) conference proceedings are included. All NoiseCon Proceedings one year or older are free to download. InterNoise proceedings from outside the USA older than 10 years are free to download. Others are free to INCE/USA members and member societies of I-INCE.

  • Membership Information
  • INCE Subject Classification
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content