Abstract
Through interaction with environmental parameters such as light or sound, urban and architectural spaces generate ambiences with identifiable characteristics. This notion of ambiences is related to the human being position through its perception of environmental physical phenomenon during a pedestrian walk. Presented work aims to evaluate, so as to characterize, the impact of sound ambiences (soundscape) onto an urban pedestrian pathway using GIS spatial dynamical mapping. To carry out this scheme, our research work within AMBIOFLUX project concerns spatial interaction between sound ambience (soundscape) and man urban spatial trajectory (soundwalk). Spatial impression of soundsources or soundmarks has to be both defined through acoustical measurement and perception informational evaluation. The remainder of this paper is dedicated to the evaluation’s methodology of the pedestrian pathway’s acoustic fingerprint using the GearScape spatial formalism described thereafter. Preliminary results we have obtained will also be presented and validated.
Highlights
IntroductionAMBIOFLUX project concerns spatial interaction between sound ambience (soundscape) and a human urban spatial trajectory (soundwalk)
AMBIOFLUX project concerns spatial interaction between sound ambience and a human urban spatial trajectory
Soundscape informational dimensioning will be considered through urban sound sources spatial psychophysical indicators formulation, soundmarks
Summary
AMBIOFLUX project concerns spatial interaction between sound ambience (soundscape) and a human urban spatial trajectory (soundwalk). We consider urban space as a field of data aimed at ambiences physical parameters description through multi-phenomenal characterization [1] Leduc in the CNRS FR 2488 context [3]) original spatial formalism processing aims to qualify pedestrian spatial interactions with producing a set of ambient dynamical indicators This approach is founded upon elementary sound sources description, organization and recognition with proceeding to its elementary hierarchic identification and systemic modeling [4,5]. Soundmarks describe sound events which get a specific informational status, mainly denotative, that means they are strong identity revealers
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