Smart cities are required to engage with local communities by promoting a user-centred approach to deal with urban life issues and ultimately enhance people’s quality of life. Soundscape promotes a similar approach, based on individuals’ perception of acoustic environments. This paper aims to establish a model to implement soundscape maps for the monitoring and management of the acoustic environment and to demonstrate its feasibility. The final objective of the model is to generate visual maps related to perceptual attributes (e.g. ‘calm’, ‘pleasant’), starting from audio recordings of everyday acoustic environments. The proposed model relies on three main stages: (1) sound sources recognition and profiling, (2) prediction of the soundscape’s perceptual attributes and (3) implementation of soundscape maps. This research particularly explores the two latter phases, for which a set of sub-processes and methods is proposed and discussed. An accuracy analysiswas performed with satisfactory results: the prediction models of the second stage explained up to the 57.5% of the attributes’ variance; the cross-validation errors of the model were close to zero. These findings show that the proposed model is likely to produce representative maps of an individual’s sonic perception in a given environment.

Emerging technologies of virtual reality (VR) and augmented reality (AR) are enhancing soundscape research, potentially producing new insights by enabling controlled conditions while preserving the context of a virtual gestalt within the soundscape concept. This study explored the ecological validity of virtual environments for subjective evaluations in soundscape research, focusing on the authenticity of virtual audio-visual environments for reproducibility. Different technologies for creating and reproducing virtual environments were compared, including field recording, simulated VR, AR, and audio-only presentation, in two audio-visual reproduction settings, a head-mounted display with head-tracked headphones and a VR lab with head-locked headphones. Via a series of soundwalk- and lab-based experiments, the results indicate that field recording technologies provided the most authentic audio-visual environments, followed by AR, simulated VR, and audio-only approaches. The authenticity level influenced subjective evaluations of virtual environments, e.g., arousal/eventfulness and pleasantness. The field recording and AR-based technologies closely matched the on-site soundwalk ratings in arousal, while the other approaches scored lower. All the approaches had significantly lower pleasantness ratings compared to on-site evaluations. The choice of audio-visual reproduction technology did not significantly impact the evaluations. Overall, the results suggest virtual environments with high authenticity can be useful for future soundscape research and design.

Public open spaces make crucial contributions to the livability of communities and promote physical and mental health. Soundscapes play an important role in the overall physical comfort of public open spaces. However, owing to insufficient studies of high-density situations, soundscapes are ignored in public open spaces in high-density residential areas. This paper presents a case study of a soundscape in the overseas Chinese town (OCT) of Shenzhen, China. Through in situ observation, four distinct soundscapes were easily identified by performing soundscape conceptualization according to the ISO. In terms of the four identified soundscape areas, subjective evaluations of acoustic comfort and annoyance and their influencing factors were thoroughly explored. The results reveal that the natural soundscape had the best evaluations, whereas the artificial one did not have the worst result. It is interesting to note that acoustic factors do not always significantly influence a soundscape’s evaluation. A non-acoustic factor such as the spatial function may play a role as it is related to the context of an individual perceiving an acoustic environment. This study provides first-hand empirical evidence for understanding soundscapes and the influencing factors present in high-density residential public open spaces. The results provide useful knowledge for enhancing soundscape quality in such spaces.