Assessing the Environmental Impact of Car Restrictions Policies: Madrid Central Case

Lebrusán, Irene; Toutouh, Jamal

doi:10.1007/978-3-030-38889-8_2

Cited by 18 publications

(16 citation statements)

References 12 publications

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“…Regarding noise pollution, there is a body of work on analyzing urban noise and its impact on the population's health [50][51][52][53][54][55]. There are only a few studies done in this regard [12,56]. However, most of the studies presented above studied also some variables related to noise pollution.…”

Section: Related Workmentioning

confidence: 99%

“…Different models were used to simulate and evaluate a short-term action plan to mitigate pollution emissions [58,59]. More recently, after the application of MC, Lebrusán and Toutouh [12] evaluated the effectiveness of this measure in reducing pollution inside the LEZ. Another study applied computational intelligence (deep neural networks and regression analysis) to evaluate the evolution of NO 2 concentration in the air, but again only locally (inside the MC area) [60].…”

Section: Related Workmentioning

confidence: 99%

“…This article is an extension of a preliminary study in which this pedestrianization measure was locally evaluated in terms of its impact on the LEZ on a subset of pollutants [12]. The data used in that study comprises a time frame of 30 months (between December 2016 and May 2019), even if MC was active just during six months.…”

Section: Introductionmentioning

confidence: 99%

“…Polynomial regression is applied to evaluate the general trend in air pollution concentration or levels of noise with and without the implementation of the road traffic restrictions in Madrid Central. While it is one of the simplest methods for analysis and estimation of time series, it is frequently used in the related literature [12,35,38] In this article, two polynomial regression methods are studied: Linear and polynomial of grade 10.…”

mentioning

confidence: 99%

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Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Lebrusán¹,

Toutouh

2020

Smart Cities

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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; they are the definition of Low Emissions Zones (LEZs). 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 was able to mitigate background noise levels generated by road traffic.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Lebrusán¹,

Toutouh

2020

Smart Cities

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“…This article is an extension of a preliminary study in which this pedestrianization measure was locally evaluated in terms of its impact on the LEZ on subset of pollutants [12]. The data used in that study comprises a time frame of 30 months (between December 2016 and May 2019), even if MC was active just during six months.…”

Section: Introductionmentioning

confidence: 99%

Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Lebrusán¹,

Toutouh²

2020

Preprint

Self Cite

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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.

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Computational Intelligence for Evaluating the Air Quality in the Center of Madrid, Spain

Toutouh

Lebrusán

Nesmachnow

2020

Communications in Computer and Information Science

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Assessing the Environmental Impact of Car Restrictions Policies: Madrid Central Case

Cited by 18 publications

References 12 publications

Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Using Smart City Tools to Evaluate the Effectiveness of a Low Emissions Zone in Spain: Madrid Central

Computational Intelligence for Evaluating the Air Quality in the Center of Madrid, Spain

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