Sustainable Transportation and Infrastructure Management..
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: 30 November 2026
Special Issue Editors
Interests: roads, railways, and airport infrastructure
Special Issues, Collections and Topics in MDPI journals
Interests: science of cities; territorial complexities; urban governance
Special Issues, Collections and Topics in MDPI journals
Interests: pavement engineering; advanced machine learning; railways; airports
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue on “Sustainable Transportation and Infrastructure Management” addresses the integrated planning, operation, and preservation of transport infrastructure and systems in line with the evolving principles of environmental, economic, and social sustainability.
The Special Issue will focus on innovative management strategies, advanced materials, and digital methodologies that enhance the efficiency, resilience, and safety of multimodal transport networks.
Its scope includes infrastructure asset management, sustainable construction and maintenance techniques, performance monitoring, predictive modeling, and the use of smart technologies and data-driven approaches to optimize life-cycle performance and resource efficiency.
The purpose of this Special Issue is to collect high-quality contributions that demonstrate how sustainability-oriented management can transform transportation systems and infrastructure design practices, bridging the gap between policy frameworks, engineering methods, and operational outcomes.
By connecting scientific research with international sustainability goals, such as the United Nations Sustainable Development Goals and the European Green Deal, this Special Issue aims to supplement the existing literature with cross-disciplinary perspectives and practical case studies that highlight the transition towards resilient, low-impact, and intelligent infrastructure systems, as well as through integration between sustainable regeneration processes and geoAI.
Dr. Francesco Abbondati
Dr. Ferdinando Verardi
Dr. Fabio Rondinella
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 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
- • Sustainable transportation management • Infrastructure asset management • Life-cycle performance • Smart mobility systems • Resilient transport networks • Sustainable construction and maintenance • Data-driven infrastructure optimization • Predictive modeling in pavement engineering • Environmental and social sustainability • Digital twin of infrastructures • GeoAI
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