000 02092nab a2200217 4500
003 OSt
005 20230911193410.0
007 cr aa aaaaa
008 230911b |||||||| |||| 00| 0 eng d
100 _aOffenhuber, Dietmar
_957820
245 _aLos Angeles noise array:
_bplanning and design lessons from a noise sensing network/
260 _bSage,
_c2020.
300 _aVol. 47, Issue 4, 2020, ( 609–625 p.)
520 _aThe interaction between environmental noise and the built environment is an often-neglected area in the practice of urban planning and design. Most quantitative research is limited to single value loudness metrics and ignores the more complex spatial nuances of the noisescape. Qualitative soundscape research, on the other hand, is difficult to generalize to the urban scale. We report on an exploratory noise sensing project in Los Angeles, CA that investigates both qualitative and quantitative aspects of the noisescape. Using an experimental array of noise sensors mounted on city street lights, we collected preliminary data that demonstrate the promising and revealing nature of spatially and temporally granular urban sound data. By analyzing sounds in various frequency bands at different resolutions, we investigate how aspects of urban design such as landscaping, material choice, and building typologies impact the sonic environment. Our results reveal the spatio-temporal structure of low-frequency noise in traffic-exposed areas; a phenomenon not captured by traditional A-weighted decibel metrics. Based on these results, we present a model predicting noise based on historic traffic data. These results provide insights for future methods that can be applied to long-term policymaking and planning decisions.
700 _aAuinger, Sam
_957821
700 _aSeitinger, Susanne
_957822
700 _aMuijs, Remco
_957823
773 0 _08876
_917104
_dLondon Pion Ltd. 2010
_tEnvironment and planning B: planning and design (Urban Analytics and City Science)
_x1472-3417
856 _uhttps://doi.org/10.1177/2399808318792901
942 _2ddc
_cEJR
999 _c14613
_d14613