Framework for Life Cycle Railway Sustainability Assessment: A Methodological Approach Based on Advanced Methods and Tools

Marinella Giunta*, Giovanni Leonardi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Railway corridors improvement and development are the most appropriate answer to the need of providing sustainable transportation of people and goods. Indeed, rail is the greener transportation mode since it contributes to the reduction of carbon footprint and energy consumption within the global transportation system. From this perspective, continuing to pursue sustainability objectives, any intervention on railway lines and particularly on track must be focused on the use of materials, components, and techniques able to guarantee the best environmental performances in service life span, also according to Agenda 2030 goal 13 action climate. To this purpose, the decision process at any life stage of construction and maintenance of the track can be supported by advanced methods and tools able to correctly address the right solutions through the quantitative assessment of the related environmental burdens. This study delivers a framework of methods and tools in use for the assessment of the sustainability. An application to a case study is also reported and discussed. Results demonstrated that there is room for the enhancement of environmental behavior of the track during its life cycle by means the suitable selection of materials and techniques for construction and maintenance. Further, the proposed methods have a great potential to support decision-makers.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2024 Workshops, Proceedings
EditorsOsvaldo Gervasi, Beniamino Murgante, Chiara Garau, David Taniar, Ana Maria A. C. Rocha, Maria Noelia Faginas Lago
PublisherSpringer Science and Business Media Deutschland GmbH
Pages233-244
Number of pages12
ISBN (Print)9783031653179
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event24th International Conference on Computational Science and Its Applications, ICCSA 2024 - Hanoi, Viet Nam
Duration: 1 Jul 20244 Jul 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14822 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on Computational Science and Its Applications, ICCSA 2024
Country/TerritoryViet Nam
CityHanoi
Period1/07/244/07/24

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Keywords

  • Artificial Intelligence
  • Circularity Index
  • Life Cycle Assessment
  • Railway
  • Sustainability
  • Track

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