Crowdsourcing Application in the Development of a Dynamic Noise Map

Poslončec-Petrić, Vesna; Cibilić, Iva; Frangeš, Stanislav

doi:10.1007/978-3-030-90055-7_54

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…These findings can then be displayed on interactive maps and used to create noise maps within a GIS-based model. Although this participatory sensing approach may not offer the same level of accuracy as traditional methods, it presents a low-cost alternative to extensive and expensive sensor infrastructures [18,19]. By combining data from various sources and accounting for temporal dynamics, this method has the potential to produce more realistic noise maps [20].…”

Section: Introductionmentioning

confidence: 99%

Investigating Noise Mapping in Cities to Associate Noise Levels with Sources of Noise Using Crowdsourcing Applications

Othman,

Cibilić,

Poslončec-Petrić

et al. 2024

Urban Science

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Environmental noise is a major environmental concern in metropolitan cities. The rapid social and economic growth in the 20th century is not always accompanied by adequate land planning and environmental management measures. As a consequence of rapid urbanization processes, cities are facing an increase in noise pollution. Noise is being recognized as a serious environmental problem and one which must be accounted for in a sustained development policy designed to improve the quality of life for citizens. Therefore, the monitoring of noise is a crucial aspect of urban planning to allow urban planners to create harmonious and livable environments for communities worldwide. This research aims at assessing the noise levels and associated sources of noise in downtown areas through the involvement of crowdsourcing techniques. The incorporation of noise mapping and increased public awareness are achieved by a framework that enables a comparative scheme between two cities: Alexandria, Egypt and Zagreb, Croatia. The methodology depends on combining crowdsourcing techniques using mobile applications and geographic information system (GIS) tools to detect and analyze noise. Finally, this research provides a comparison between the two cities using the adopted methodology and introduces recommendations to enhance urban planning decisions.

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Section: Introductionmentioning

confidence: 99%

Investigating Noise Mapping in Cities to Associate Noise Levels with Sources of Noise Using Crowdsourcing Applications

Othman,

Cibilić,

Poslončec-Petrić

et al. 2024

Urban Science

Self Cite

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Enhancing Forest Fire Detection and Emergency Response Using Crowdsourcing and Smartphone Sensors

Hadjkouider,

Sahraoui,

Kerrache

2024

2024 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

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An Open Data Crowdsourcing Approach for Environmental Noise Pollution Mapping

Cibilić

Divjak

Poslončec-Petrić

2022

22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Energy and Clean Technologies, VOL 22, ISS

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Open data is undoubtedly one of the most exciting innovations of the last decade. Data that can be (re)used freely and without restrictions is a key driver for achieving many environmental goals. Through the use of open crowdsourcing tools, noise monitoring is enabled by the active participation of citizens who measure noise and thus contribute to the creation of a dynamic noise map. This is consistent with the lifecycle of open data - the design of the process and practices for handling data from its creation, to the provision of open data, to its use by various parties. By participating in the crowdsourcing processes, users act as both consumers and providers of data; with enhanced capabilities of data users, such as commenting, rating, processing, or customizing to their specific needs; and then publishing new versions of the same or their own new datasets. In this way, better communication and collaboration between data users and data providers creates another root for a sustainable ecosystem by closing information and evaluation loops by supporting a broader range of use cases in services and applications on ecological issues.

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Crowdsourcing Application in the Development of a Dynamic Noise Map

Cited by 3 publications

References 3 publications

Investigating Noise Mapping in Cities to Associate Noise Levels with Sources of Noise Using Crowdsourcing Applications

Investigating Noise Mapping in Cities to Associate Noise Levels with Sources of Noise Using Crowdsourcing Applications

Enhancing Forest Fire Detection and Emergency Response Using Crowdsourcing and Smartphone Sensors

An Open Data Crowdsourcing Approach for Environmental Noise Pollution Mapping

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