SONORUS project: Classification of historic urban areas through multisensory perception and expectation

Abstract:

The present research project was aimed to show new approaches to the assessment of the environmental quality in general and the soundscape quality in particular of the urban areas. Within this framework, the research deepens in the complete multisensory process of perception, focusing on the influence of context and expectations on the reaction of the individuals towards sensorial stimuli. The research study explores several methods with which to evaluate the soundscape of urban open spaces, making different contributions to the identification of the patterns that define its identity. The evaluation of the potentiality of these methods was carried out applying them to case studies in Naples and Brighton. The applications of these methods on the cases study consider the spatial variability of the sonic environment and its characteristics. Consequently the outcomes obtained were used to refine the proposed assessment methods and to evaluate their feasibility. Variables selection methods, traditional regression methods, or artificial neural networks, were used to assess objective as well as subjective measures in the perception and interpretation of the soundscape of the urban environments.

Año de publicación:

2016

Keywords:

• neural network
• Waterfront
• Expectations
• Soundscape

Fuente:

scopus