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The Sustainable Control of Environmental Noise and Air Pollution for Transportation Infrastructures

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3078

Special Issue Editors


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Guest Editor
Faculty of Civil Engineering, Transportation Department, University of Thessaly, Pedion Areos, 383 34 Volos, Greece
Interests: strategic noise planning; noise action plans; urban noise; road and airport environmental noise; ground-borne noise and vibration; soundscaping; metro and tramway airborne and ground-borne noise; noise barriers and floating slabs for transportation infrastructure
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Guest Editor
Division of Environment and Meteorology, School of Physics, University of Ioannina, 45110 Ioannina, Greece
Interests: traffic; aerosols; meteorology; ozone; atmosphere; air quality; air pollution modeling; particulate matter; atmospheric physics; atmospheric pollution

Special Issue Information

Dear Colleagues,

Transportation infrastructure is estimated to be responsible for important environmental noise and air quality problems, especially in urban areas of both developed and developing countries. Moreover, it is also responsible for nearly a quarter of global energy-related CO2 and environmental noise annoyance. Thus, its impact on the quality of urban life and its effects on health is very significant.

The global vehicle fleet, despite the recent growth deceleration due to the Covid-19 pandemic, is expected to multiply considerably in the next few decades (up to 2050). At the same time, the technological improvements regarding fuel-efficient and less noisy and pollutant vehicles, including alternative power sources, have not developed rapidly enough to cope with the consequence of expected traffic growth.

To achieve sustainability in modern cities, it is necessary to accelerate research on more environmentally friendly fuels and motors, improving and enhancing the use of public transport, bicycles, etc., introducing planning tools that reduce urban air pollution and greenhouse gas emissions, improving the urban soundscaping, and, eventually, “greening” the cities.

Moreover, restriction measures or urban and semi-urban transport may initiate the reduction of the numbers of private cars, and, therefore, air pollutant and noise emissions, improving the quality of life.

This Special Issue welcomes papers that deal with operation and planning schemes, as well as alternative technologies, from a holistic point of view, that may achieve an important reduction of both air and noise pollution from both road, train, and aircraft transportation, aiming at sustainable modes of urban area development, including specific “greening” actions. Studies concerning technologies and transportation management tools reducing greenhouse gases are also welcome.

Prof. Dr. Konstantinos Vogiatzis
Prof. Dr. Kassomenos Pavlos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • transportation infrastructure
  • air pollution
  • environmental noise
  • air quality
  • urban areas development

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Published Papers (1 paper)

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Research

24 pages, 2810 KiB  
Article
Artificial Neural Networks for Modelling and Predicting Urban Air Pollutants: Case of Lithuania
by Svajone Bekesiene and Ieva Meidute-Kavaliauskiene
Sustainability 2022, 14(4), 2470; https://doi.org/10.3390/su14042470 - 21 Feb 2022
Cited by 4 | Viewed by 2291
Abstract
This study focuses on the Vilnius (capital of Lithuania) agglomeration, which is facing the issue of air pollution resulting from the city’s physical expansion. The increased number of industries and vehicles caused an increase in the rate of fuel consumption and pollution in [...] Read more.
This study focuses on the Vilnius (capital of Lithuania) agglomeration, which is facing the issue of air pollution resulting from the city’s physical expansion. The increased number of industries and vehicles caused an increase in the rate of fuel consumption and pollution in Vilnius, which has rendered air pollution control policies and air pollution management more significant. In this study, the differences in the pollutants’ means were tested using two-sided t-tests. Additionally, a 2-layer artificial neural network and a pollution data were both used as tools for predicting and warning air pollution after loop traffic has taken effect in Vilnius Old Town from July of 2020. Highly accurate data analysis methods provide reliable data for predicting air pollution. According to the validation, the multilayer perceptron network (MLPN1), with a hyperbolic tangent activation function with a 4-4-2 partition, produced valuable results and identified the main pollutants affecting and predicting air quality in the Old Town: maximum concentration of sulphur dioxide per 1 hour (SO2_1 h, normalized importance = 100%); carbon monoxide (CO) was the second pollutant with the highest indication of normalized importance, equalling 59.0%. Full article
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