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

Toutouh, Jamal; Lebrusán, Irene; Nesmachnow, Sergio

doi:10.1007/978-3-030-41913-4_10

Cited by 11 publications

(9 citation statements)

References 16 publications

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“…However, these methods are computationally expensive. During the last years, with the rapid development of artificial neural networks and deep learning and their successful use for forecasting applications, several researchers have proposed them to deal with air outdoor pollution modelling, prediction, and forecasting [20,21]. Most of these methods predict the air pollution concentration giving the previous pollution concentration and other external conditions, such as the weather.…”

Section: Related Workmentioning

confidence: 99%

Multiobjective design of sustainable public transportation systems

Rossit¹,

Nesmachnow²,

Toutouh³

2021

1st International Workshop on Advanced Information and Computation Technologies and Systems 2020

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The design of the bus network is a complex problem in modern cities, since different conflicting objectives have to be considered, from both the perspective of bus companies and the citizens. This article presents a multiobjective model for designing a sustainable public transportation network that simultaneously optimizes the covered travel demands by passengers, the total travel time, and the generated pollution. The proposed model is solved using exact weighted sum and a heuristic procedure based on the standard shortest path problem. Preliminary tests were performed in small real-world instances of Montevideo, Uruguay. Experiments allowed obtaining a set of compromising solutions that in turn allow exploring different trade-off among the optimization criteria. The proposed heuristic was competitive, being able to find a good compromising solution in short computing times.

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Section: Related Workmentioning

confidence: 99%

Multiobjective design of sustainable public transportation systems

Rossit¹,

Nesmachnow²,

Toutouh³

2021

1st International Workshop on Advanced Information and Computation Technologies and Systems 2020

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“…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]. Both reported a decrease in NO 2 concentration.…”

Section: Related Workmentioning

confidence: 99%

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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“…Other relevant measures, such as private traffic restrictions, which play a significant role in urban transportation regarding accessibility, air quality, and other factors that affect the quality of life of citizens [32,33], have not yet proposed nor implemented in Montevideo.…”

Section: Promotion Of Walking and Discourage The Use Of Private Motormentioning

confidence: 99%

Analysis of Sustainable Public Transportation and Mobility Recommendations for Montevideo and Parque Rodó Neighborhood

Hipogrosso

Nesmachnow

2020

Smart Cities

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This article presents an analysis and characterization of recent sustainable initiatives developed for the public transportation of Montevideo, Uruguay. In addition, specific analysis and recommendations are proposed for the Parque Rodó neighborhood, based on a survey performed to people that commute to/from that area. The analysis considers the main concepts from related works, evaluating relevant quantitative (coverage, accessibility, affordability, etc.) and qualitative (public finance, integration, comfort and pleasure, etc.) indicators. Three sustainable public transportation initiatives are studied: electric bus, public bicycles, and electric scooters. Results of the analysis for each transportation mode suggest that the first initiatives focus on specific sectors of the population and should be improved in order to extend their accessibility and affordability. In turn, coverage must also be expanded. Regarding the analysis of the Parque Rodó neighborhood, results indicate that people are willing to perform the modal shift to more sustainable transportation modes, but several improvements are needed to improve the quality of service. All these aspects are considered in the proposed guidelines for a sustainable mobility plan in the area and also for suggestions and recommendations formulated to develop and improve sustainable mobility in Montevideo.

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

Cited by 11 publications

References 16 publications

Multiobjective design of sustainable public transportation systems

Multiobjective design of sustainable public transportation systems

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

Analysis of Sustainable Public Transportation and Mobility Recommendations for Montevideo and Parque Rodó Neighborhood

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