Version 1
: Received: 4 May 2020 / Approved: 5 May 2020 / Online: 5 May 2020 (15:36:00 CEST)
How to cite:
Lebrusán, I.; Toutouh, J. Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central. Preprints.org2020, 2020050086. https://doi.org/10.20944/preprints202005.0086.v1
Lebrusán, I.; Toutouh, J. Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central. Preprints.org 2020, 2020050086. https://doi.org/10.20944/preprints202005.0086.v1
Cite as:
Lebrusán, I.; Toutouh, J. Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central. Preprints.org2020, 2020050086. https://doi.org/10.20944/preprints202005.0086.v1
Lebrusán, I.; Toutouh, J. Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central. Preprints.org 2020, 2020050086. https://doi.org/10.20944/preprints202005.0086.v1
Abstract
Population concentration in cities brings new risks as an increase in pollution, which causes urban health problems. In order to address this problem, traffic reduction measures are being implemented, as pedestrianization areas and the definition of Low Emissions Zones (LEZ). When the effectiveness of these types of measures is in doubt, smart city tools provide data that can be used to scientifically asses their impact. This article analyzes the situation of Madrid Central (Spain), a LEZ subject to controversy. We apply statistical and regression analyses to evaluate the effectiveness of this measure to reduce air pollution and outdoor noise. According to the results, this LEZ was able to significantly reduce NO$_2$, PM$_{2.5}$, and PM$_{10}$ concentration locally, having the same positive impact in the rest of the city. In terms of noise, this measure is able to mitigate background noise levels generated by the road traffic.
Keywords
air pollution; noise pollution; low emissions zone; pedestrianization
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
