ABSTRACT
The SARS-CoV-2 virus triggered a never-before-seen scenario worldwide. Ecuador declared a state of emergency to contain coronavirus transmission by applying social isolation policies and mobility limitations. During this period, noise pollution decreased in Guayaquil city. This study proposes the use of smartphones to collect noise data and generate soundscape maps of Guayaquil during different time slots. The results revealed traffic as the predominant type of noise, followed by vehicles, buses, and people´s voices. This article demonstrates the feasibility of crowdsourcing for the collection of environmental variables. © 2022 National Institute for Space Research, INPE. All rights reserved.
ABSTRACT
The SARS-CoV-2 virus triggered a never-before-seen scenario worldwide. Ecuador declared a state of emergency to contain coronavirus transmission by applying social isolation policies and mobility limitations. During this period, noise pollution decreased in Guayaquil city. This study proposes the use of smartphones to collect noise data and generate soundscape maps of Guayaquil during different time slots. The results revealed traffic as the predominant type of noise, followed by vehicles, buses, and people´s voices. This article demonstrates the feasibility of crowdsourcing for the collection of environmental variables. © 2022 National Institute for Space Research, INPE. All rights reserved.
ABSTRACT
Noise pollution is becoming a critical health risk for city life. In 2020, the COVID-19 pandemic forced many cities to implement several mobility restrictions. These restrictions changed human activity patterns and decreased the noise levels and noise pollution that often affect urban settings. As the number of infections decreased, so did the outdoor activities, influencing the population's perception of noise. This paper aims to evaluate the changes in noise levels associated with mobility restrictions between 2020 and 2021 in Guayaquil, Ecuador. This study used crowdsourcing with the help of smartphones and mobile applications to collect geo-referenced environmental noise data. The data was used to generate noise maps in different time frames. Finally, noise level maps were created using GIS-based tools to identify the urban areas that experienced the highest noise level variation during the study period. The results show that the most significant noise increase occurred at night. Furthermore, when analyzing noise level changes in different urban areas, the western area of Guayaquil was the one that experienced the most significant noise level variation. Findings inform the perception of noise pollution and could potentially serve as a reference for decision-makers during the proposal of public policies that ensure a better quality of life for its citizens. © 2023 The Authors
ABSTRACT
The COVID-19 pandemic significantly affected the city of Guayaquil. The complex dynamics associated with the geography of SARS-CoV-2 made it difficult to monitore the spread of COVID-19 in Ecuador. Data collection and reporting were, in most cases, some of the main obstacles to understanding the (real-time) situation of COVID-19 outbreak. This study presents a crowdsourcing initiative to complement data collection efforts that inform the progress of contagion in Ecuador. We used a digital survey to collect information regarding positive cases and symptoms associated with COVID-19. We further developed an online dashboard that shows descriptive statistics based on collected data. In total, there were 1450 responses. Additional information such as geographical data led to the identification and visualization of the areas with the highest prevalence of symptoms associated with COVID-19 in some of the main urban areas of Guayaquil city. © 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.