Noise as a Factor of Green Areas Soundscape Creation

Sztubecka, Małgorzata; Skiba, Marta; Mrówczyńska, Maria; Mathias, Michael

doi:10.3390/su12030999

Cited by 21 publications

(18 citation statements)

References 61 publications

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“…The noise level is much higher there. Similar results were obtained in other cities in Poland, namely Bydgoszcz [101] and Kraków [102]. The residential and service function does not affect noise generation to such an extent as the transportation function, evident in the Podzamcze Park and Kusocińskiego Park.…”

Section: Discussionsupporting

confidence: 84%

Evaluation of Soundscapes in Urban Parks in Olsztyn (Poland) for Improvement of Landscape Design and Management

Jaszczak

Małkowska

Kristiánová

et al. 2021

Land

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Soundscape analyses and noise measurements should be a part of pre-design works involved in planning green areas in city centers. The aim of the study was to conduct a multi-criteria analysis of the soundscape of three parks in Olsztyn (Poland) as a part of the landscape planning process to determine the directions of re-design of places most exposed to noise. The research included: 1. functional and spatial analysis of the park surroundings in reference to the city environment, 2. analysis of the acoustic map, 3. measurements of sound pressure levels (SPL) at selected points in two periods (leafless and leafy), 4. analysis of characteristic sounds, 5. interview with park users and preparation of a mental map. The results of research regarding the perception of the soundscape of all three parks by respondents differ slightly from the results of both the acoustic map and SPL measurements. The results also confirm the difference between SPL in the leafless and leafy period. Places most exposed to noise are located at the park boundaries along the main access roads, and at park entrances. Recommendations and sample solutions are proposed, based on two suggested design activities, namely the reduction of undesirable sounds, and introduction of desirable sounds to the parks.

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Section: Discussionsupporting

confidence: 84%

Evaluation of Soundscapes in Urban Parks in Olsztyn (Poland) for Improvement of Landscape Design and Management

Jaszczak

Małkowska

Kristiánová

et al. 2021

Land

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“…Furthermore, the green soundscape index (GSI) [ 48 ] is based on the ratio of the perceived extent of natural sounds (PNS) and the perceived extent of traffic noise (PTN). A fuzzy approach to the creation of these equations/indicators is commonly used [ 49 ] with great results.…”

Section: Scientific Background: Revisiting Quietnessmentioning

confidence: 99%

Revisiting the Concept of Quietness in the Urban Environment—Towards Ecosystems’ Health and Human Well-Being

Tsaligopoulos

Kyvelou

Votsi

et al. 2021

IJERPH

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There is plenty of proof that environmental noise is a major pollutant in the urban environment. Several approaches were successfully applied for its calculation, visualization, prediction and mitigation. The goal of all strategy plans regards its reduction and the creation of quietness. This study aims to revisit the concept of quietness in the urban environment and attempts to portray a new understanding of the specific phenomena. “Quietness” as a term retains an ambiguity, and so far, it can be described as the lack of something, meaning the lack of noise that is portrayed by means of intensity. Several studies describe quietness as the combination of perceptual soundscape elements and contextual factors that can be quantified, combined, weighed and used as indicators of healthy soundscapes. In this research, the focus is on setting aside all indicators, either measuring the intensity or contextual ones and use solely quantifiable metrics regarding the acoustic environment, thus introducing a new composite index called the composite urban quietness index (CUQI). After testing the CUQI, in order to verify the results of previous research regarding the identification of quiet Areas in the city of Mytilene (Lesbos Island, Greece), the study concludes that CUQI is efficiently functioning even in this early stage of development.

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“…Audiovisual and soundscape-related heritage initiatives also emerge, focusing on historical sound records and landscapes preserved, re-created, and reproduced as means of intangible CH expressions [25][26][27][28][29]. Furthermore, the impact of environmental sounds, noise, and soundscape components is analyzed on various aspects of modern human life, i.e., examining their associations with the residents' physical/mental health, perception, and behavior, aiming to unveil factors of sustainable growth and development and overall quality of life as well [30][31][32][33][34][35][36][37]. Social media soundscape information can serve for the prediction of health effects of noise pollution in different areas [38].…”

Section: Related Workmentioning

confidence: 99%

Semantic Crowdsourcing of Soundscapes Heritage: A Mojo Model for Data-Driven Storytelling

et al. 2021

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The current paper focuses on the development of an enhanced Mobile Journalism (MoJo) model for soundscape heritage crowdsourcing, data-driven storytelling, and management in the era of big data and the semantic web. Soundscapes and environmental sound semantics have a great impact on cultural heritage, also affecting the quality of human life, from multiple perspectives. In this view, context- and location-aware mobile services can be combined with state-of-the-art machine and deep learning approaches to offer multilevel semantic analysis monitoring of sound-related heritage. The targeted utilities can offer new insights toward sustainable growth of both urban and rural areas. Much emphasis is also put on the multimodal preservation and auralization of special soundscape areas and open ancient theaters with remarkable acoustic behavior, representing important cultural artifacts. For this purpose, a pervasive computing architecture is deployed and investigated, utilizing both client- and cloud-wise semantic analysis services, to implement and evaluate the envisioned MoJo methodology. Elaborating on previous/baseline MoJo tools, research hypotheses and questions are stated and put to test as part of the human-centered application design and development process. In this setting, primary algorithmic backend services on sound semantics are implemented and thoroughly validated, providing a convincing proof of concept of the proposed model.

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Noise as a Factor of Green Areas Soundscape Creation

Cited by 21 publications

References 61 publications

Evaluation of Soundscapes in Urban Parks in Olsztyn (Poland) for Improvement of Landscape Design and Management

Evaluation of Soundscapes in Urban Parks in Olsztyn (Poland) for Improvement of Landscape Design and Management

Revisiting the Concept of Quietness in the Urban Environment—Towards Ecosystems’ Health and Human Well-Being

Semantic Crowdsourcing of Soundscapes Heritage: A Mojo Model for Data-Driven Storytelling

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