Classification and Identification of Urban Forest Soundscapes (Study of the Reached Green Open Space Standard)

DOI

10.2991/aer.k.200214.021How to use a DOI?

Keywords

classification, green open space standard, identification, soundscapes, urban forest

Abstract

An urban forest is part of green open space, which has aesthetic and social functions in an urban area. Urban forests cannot be separated from the problem of noise caused by diverse urban activities. Of course, this causes a shift in the function of urban forests as a whole. A sound composition that occurs and interacts with certain landscapes called the soundscapes. This study aims to classify the soundscapes in urban forests based on the perception of an acoustic environment and identify the soundscapes in urban forests based on environmental acoustic parameters. In this study, the soundscapes framework analyzed by using the Kano Model refers to ISO Soundscapes 12913-1-2014. In this framework, evaluate the soundscapes approach using objective parameters and factors that influence positive perspectives on the soundscapes. Classification of soundscapes done through questionnaires processed with Agglomerative Hierarchy Clustering. Then, identified each cluster by using the measurement of objective acoustic parameters. Identification also carried out the soundwalk. The parameters used are L10, L93, Lmax, LEq, τ1, Φ1, and DR. Based on the results of the study, the soundscapes can be classified into three groups, namely, the dominance of traffic, natural and human sounds, and human sounds. This can be explained physically through several predetermined parameters. Based on the results of the study, the soundscapes can be classified into three groups, namely, traffic dominance, natural and human sounds, and human sounds. The results of the soundscapes identification on Route show the natural sounds (wind and bird chirps) expressed by values Leq=57.24 dBA, L10=59.13 dBA, L93=54.52 dBA, Lmax=63.41 dBA, τ1=2.97 s, dan Φ1=0.3 DR=9.6 dB. Also, identification using a spectrogram shows the dominance of wind and birds chirping on this route.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Lailatul Inayah
AU  - Suyatno
AU  - Susilo Indrawati
PY  - 2020
DA  - 2020/02/18
TI  - Classification and Identification of Urban Forest Soundscapes (Study of the Reached Green Open Space Standard)
BT  - Proceedings of the EduARCHsia & Senvar 2019 International Conference (EduARCHsia 2019)
PB  - Atlantis Press
SP  - 146
EP  - 151
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.200214.021
DO  - 10.2991/aer.k.200214.021
ID  - Inayah2020
ER  -