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Role of Environmental Impact Assessment in Shaping an Eco-Friendly and Sustainable Public Transportation Infrastructure

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 April 2026) | Viewed by 648

Special Issue Editor


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Guest Editor
Department of Civil, Coastal and Environmental Engineering, University of South Alabama, Mobile, AL 36695, USA
Interests: transportation and infrastructure systems; highway/traffic safety; application of econometric and statistical methods to analyze various traffic safety related issues

Special Issue Information

Dear Colleagues,

We invite researchers to submit papers for a Special Issue on “Role of Environmental Impact Assessment in Shaping an Eco-Friendly and Sustainable Public Transportation Infrastructure”.  This Special Issue aims to encourage incorporating environmental impact assessment in the public infrastructure planning process to promote sustainable development in the field of public transportation and related infrastructures.

Focus:

The primary focus of this Special Issue is on the future of public transportation infrastructure planning and environmental impact assessment.  The publication will highlight concepts that demonstrate addressing environmental impacts in the planning of public transportation infrastructures can impact service characteristics which is crucial for achieving efficient and sustainable mobility and increased ridership.

Scope of the Special Issue:

We welcome quantitative and data-driven research that addresses strategic planning of public transportation infrastructures that will transform the system towards more sustainable pathways. We seek papers that address application of innovative approaches for planning public transportation infrastructures in terms of sustainability and efficiency that can make integration of emerging vehicle technologies in a multimodal urban setting easier. This Special Issue particularly encourages studies that evaluate the environmental impacts in the public transportation infrastructure planning process. The topics of interest include, but are not limited to, the following:

  • Planning and design of public transportation infrastructures to promote sustainable mobility, to mitigate adverse impacts on the environment and to increase public transportation usage
  • Adaptive infrastructure for environmental sustainability
  • Environmental benefits of electric fleets, charging infrastructure for electric fleets
  • Planning of infrastructures to facilitate seamless connections between public transit, shared services, and micromobility
  • Applications of simulation and optimization for evaluating how innovations in the public transporttaion infrastructure planning can improve lives, reduce pollution and achieve economic development.

Purpose:

This Special Issue will serve as a starting point for further developments in regulations and strategies that will help to address challenges related to environmental impacts and sustainable developments in the context of mass mobility and transportation infrastructure systems. Our aim is to identify and quantify environmental impacts, and apply the results of these evaulations in planning, policy recommendations and regulations related to public transportation infrastructures to enhance quality of life and enable sustainable urban mobility.

Dr. Samantha Islam
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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

  • public transportation infrastructure
  • eco-friendly
  • environmental impact assessment (EIA)
  • sustainability
  • adaptive infrastructure
  • sustainable mobility

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Published Papers (1 paper)

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Research

20 pages, 3800 KB  
Article
Sustainable Traffic Congestion Forecasting Through Lightweight Explainable AI and TinyML Edge Deployment: A Casablanca Case Study
by Mehdi Attioui and Mohamed Lahby
Sustainability 2026, 18(9), 4439; https://doi.org/10.3390/su18094439 - 1 May 2026
Viewed by 352
Abstract
Traffic congestion in urban areas poses substantial challenges to transportation management, urban planning, and environmental sustainability. This study introduces an explainable artificial intelligence (XAI) framework for predicting traffic congestion in Casablanca, Morocco, by integrating gradient boosting models with lightweight XAI techniques that are [...] Read more.
Traffic congestion in urban areas poses substantial challenges to transportation management, urban planning, and environmental sustainability. This study introduces an explainable artificial intelligence (XAI) framework for predicting traffic congestion in Casablanca, Morocco, by integrating gradient boosting models with lightweight XAI techniques that are suitable for edge deployment. Employing SUMO-simulated traffic data comprising 30,000 data points across 30 scenarios, we implemented a GradientBoostingRegressor (scikit-learn) enhanced with native feature importance analysis, permutation importance, and partial dependence plots, achieving R2=0.9939, MAE = 0.015, and RMSE = 0.019. The XAI analysis reveals that lag features (32.0%), temporal patterns (35.0%), and infrastructure features (15.0%) are the primary contributors to congestion prediction, with culturally relevant factors, such as Friday prayers, accounting for 8.7% of the total feature importance. The model was deployed through a knowledge-distillation TinyML pipeline, achieving 31× compression (2.4 MB → 76 KB) on ESP32 microcontrollers with 2.1 ms inference latency and a 667× reduction in per-inference energy consumption compared to cloud-based deployment. This lightweight XAI approach directly addresses the gap between interpretability requirements and edge deployment constraints, facilitating sustainable intelligent transportation systems in developing countries with limited infrastructure and energy resources. The proposed framework is transferable to other rapidly urbanizing cities in the Global South, offering a replicable template for data-driven interpretable traffic management that can directly inform infrastructure investment prioritization, adaptive signal-control policy design, and culturally aware urban mobility planning strategies. Full article
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