Journal article

Noise mapping in an urban environment: Comparing gis-based spatial modelling and parametric approaches

S Chen, Z Wang

Journal of Digital Landscape Architecture | Wichmann | Published : 2020

Abstract

We conduct noise mapping for an inner-suburb precinct adjacent to Melbourne CBD using GIS geostatistical interpolation and parametric (Rhino and Grasshopper) approaches, based on traffic noise data collected using field measurement. We then compare the spatial and temporal patterns of noise dynamics based on measured noise data and modelled noise level outputs. Preliminary findings shed lights on understanding traffic flows and noise level, noise attenuation through landform and tree planting, etc. We discuss the effectiveness and compatibility of the two modelling approaches, and potential applications of the outcomes of this study in informing landscape planning and design to mitigate nois..

View full abstract