Towards an Urban Vibrancy Model: A Soundscape Approach

TLDR

Soundscape research has developed predictive tools for tranquility but lacks models for actively engaging vibrancy soundscapes. The study aims to establish a predictive model for a vibrancy descriptor based on physical parameters for designers and practitioners. The authors conducted a group interview to identify influential elements, then collected vibrancy perception data from UK and China locations in a laboratory experiment, using aural and visual physical parameters to build the predictive model. The resulting model, using Roughness, Presence of People, Fluctuation Strength, Loudness, and Presence of Music, explained 76 % of variance in vibrancy scores and showed a significant correlation with eventfulness but not pleasantness, indicating that vibrancy is context‑dependent on both soundscape and visual scenery.

Abstract

Soundscape research needs to develop predictive tools for environmental design. A number of descriptor-indicator(s) models have been proposed so far, particularly for the “tranquility” dimension to manage “quiet areas” in urban contexts. However, there is a current lack of models addressing environments offering actively engaging soundscapes, i.e., the “vibrancy” dimension. The main aim of this study was to establish a predictive model for a vibrancy descriptor based on physical parameters, which could be used by designers and practitioners. A group interview was carried out to formulate a hypothesis on what elements would be influential for vibrancy perception. Afterwards, data on vibrancy perception were collected for different locations in the UK and China through a laboratory experiment and their physical parameters were used as indicators to establish a predictive model. Such indicators included both aural and visual parameters. The model, based on Roughness, Presence of People, Fluctuation Strength, Loudness and Presence of Music as predictors, explained 76% of the variance in the mean individual vibrancy scores. A statistically significant correlation was found between vibrancy scores and eventfulness scores, but not between vibrancy scores and pleasantness scores. Overall results showed that vibrancy is contextual and depends both on the soundscape and on the visual scenery.