Hotspots, daily cycles and average daily dose of PM2.5 in a cycling route in Medellin

Bicycle sharing systems are an alternative to promote sustainable transportation and active living. Bicycle users are exposed to traffic and to pollutants in their trips; therefore, the analysis of pollutant concentrations and user exposure is of utmost importance for planning the expansion of crea...

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Váldodahkkit: Alejandro Builes-Jaramillo, Julián Gómez-Bedoya, Stephania Lopera-Uribe, Valeria Fajardo-Castaño
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Universidad de Antioquia 2020-02-01
Ráidu:Revista Facultad de Ingeniería Universidad de Antioquia
Fáttát:
Liŋkkat:https://revistas.udea.edu.co/index.php/ingenieria/article/view/339692
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author Alejandro Builes-Jaramillo
Julián Gómez-Bedoya
Stephania Lopera-Uribe
Valeria Fajardo-Castaño
author_facet Alejandro Builes-Jaramillo
Julián Gómez-Bedoya
Stephania Lopera-Uribe
Valeria Fajardo-Castaño
author_sort Alejandro Builes-Jaramillo
collection DOAJ
description Bicycle sharing systems are an alternative to promote sustainable transportation and active living. Bicycle users are exposed to traffic and to pollutants in their trips; therefore, the analysis of pollutant concentrations and user exposure is of utmost importance for planning the expansion of creation of these transportation systems. In order to evaluate the concentrations and exposure of cyclists to PM2.5, we designed a route within the bicycle sharing system of Medellin and implemented a sensor-based monitoring protocol. Measurements were carried out with a low-cost sensor validated with local information. Potential average daily dose of PM2.5 was calculated based on the average time of exposure and the level of effort made by the user while riding. Hotspots were identified as the zones on the route with concentrations three standard deviations above the average for each route. PM2.5 concentrations were found to be highly variable in terms of hour of the day and season of the year. When the concentrations are higher, the potential average daily dose is doubled. There are two types of hotspot according to the built environment configuration on the route, and the concentrations in these hotspots are reaching values considered as harmful for sensitive population groups. The present results are key for the discussion leading to the implementation of measures that will improve the welfare of cyclists in Medellin, that may span from infrastructure intervention to early warning systems.
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spelling doaj.art-99032ff67a2448c0b13d1e36e7a2281f2023-03-23T12:28:21ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442020-02-019610.17533/udea.redin.20191153339692Hotspots, daily cycles and average daily dose of PM2.5 in a cycling route in MedellinAlejandro Builes-Jaramillo0Julián Gómez-Bedoya1Stephania Lopera-Uribe2Valeria Fajardo-Castaño3University Institution Colegio Mayor de AntioquiaUniversity Institution Colegio Mayor de AntioquiaUniversity Institution Colegio Mayor de AntioquiaUniversity Institution Colegio Mayor de Antioquia Bicycle sharing systems are an alternative to promote sustainable transportation and active living. Bicycle users are exposed to traffic and to pollutants in their trips; therefore, the analysis of pollutant concentrations and user exposure is of utmost importance for planning the expansion of creation of these transportation systems. In order to evaluate the concentrations and exposure of cyclists to PM2.5, we designed a route within the bicycle sharing system of Medellin and implemented a sensor-based monitoring protocol. Measurements were carried out with a low-cost sensor validated with local information. Potential average daily dose of PM2.5 was calculated based on the average time of exposure and the level of effort made by the user while riding. Hotspots were identified as the zones on the route with concentrations three standard deviations above the average for each route. PM2.5 concentrations were found to be highly variable in terms of hour of the day and season of the year. When the concentrations are higher, the potential average daily dose is doubled. There are two types of hotspot according to the built environment configuration on the route, and the concentrations in these hotspots are reaching values considered as harmful for sensitive population groups. The present results are key for the discussion leading to the implementation of measures that will improve the welfare of cyclists in Medellin, that may span from infrastructure intervention to early warning systems. https://revistas.udea.edu.co/index.php/ingenieria/article/view/339692air pollutionenvironmental monitoring environmental healthenvironmental management
spellingShingle Alejandro Builes-Jaramillo
Julián Gómez-Bedoya
Stephania Lopera-Uribe
Valeria Fajardo-Castaño
Hotspots, daily cycles and average daily dose of PM2.5 in a cycling route in Medellin
Revista Facultad de Ingeniería Universidad de Antioquia
air pollution
environmental monitoring
environmental health
environmental management
title Hotspots, daily cycles and average daily dose of PM2.5 in a cycling route in Medellin
title_full Hotspots, daily cycles and average daily dose of PM2.5 in a cycling route in Medellin
title_fullStr Hotspots, daily cycles and average daily dose of PM2.5 in a cycling route in Medellin
title_full_unstemmed Hotspots, daily cycles and average daily dose of PM2.5 in a cycling route in Medellin
title_short Hotspots, daily cycles and average daily dose of PM2.5 in a cycling route in Medellin
title_sort hotspots daily cycles and average daily dose of pm2 5 in a cycling route in medellin
topic air pollution
environmental monitoring
environmental health
environmental management
url https://revistas.udea.edu.co/index.php/ingenieria/article/view/339692
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AT juliangomezbedoya hotspotsdailycyclesandaveragedailydoseofpm25inacyclingrouteinmedellin
AT stephanialoperauribe hotspotsdailycyclesandaveragedailydoseofpm25inacyclingrouteinmedellin
AT valeriafajardocastano hotspotsdailycyclesandaveragedailydoseofpm25inacyclingrouteinmedellin