{
  "abstract": "The growing emphasis on sustainable transportation has intensified the need to reduce carbon emissions in railway maintenance and renewal activities. This paper proposes a lexicographic optimisation framework for joint maintenance and renewal planning in urban railway networks, in which CO 2 emissions are prioritised over economic cost. The problem is formulated as a mixed-integer linear program integrating key industrial constraints, including track possession windows, a degradation model, and activity grouping. A two-stage solution strategy is developed: the first stage identifies CO 2 -optimal solutions, while the second stage refines these solutions with respect to cost using either an exact MILP formulation or an iterated local search metaheuristic. Computational experiments on real-world network-level instance show that the proposed MILP–ILS approach preserves CO 2 optimality while achieving notable cost reductions and significantly lower computation times compared to a fully exact lexicographic MILP. In several instances, the approach reduces network-level CO 2 emissions by up to 50% while achieving cost savings of approximately 10% comparing to the company’s current strategy. Finally, an ɛ -constraint analysis is conducted to characterise the Pareto frontier between cost and CO 2 emissions. The results confirm that substantial environmental gains can be achieved with moderate economic trade-offs, reinforcing the practical relevance of the proposed framework.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "name": "Malak Saiem"
    },
    {
      "name": "Faicel Hnaien"
    },
    {
      "name": "Hichem Snoussi"
    },
    {
      "name": "Brice Nelain"
    },
    {
      "name": "Anaïs Menetrier"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0r9x0g3rhdxj7.bib",
  "cited_by": 1,
  "doi": "10.1016/j.seps.2026.102423",
  "fulltext_url": null,
  "id": "0r9x0g3rhdxj7",
  "issns": [
    "0038-0121"
  ],
  "landing_url": "https://utt.hal.science/hal-05851772v1",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "hal",
      "0.info"
    ],
    [
      "hal",
      "0.sde"
    ],
    [
      "openalex",
      "2209|Railway Systems and Energy Efficiency"
    ]
  ],
  "openalex": "W7127065043",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-04",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/0r9x0g3rhdxj7.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T12:20:53Z",
      "native_id": "hal-05851772",
      "source": "hal",
      "url": "https://utt.hal.science/hal-05851772v1"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "hal:0.sde",
      "subfield": "environmental-science"
    }
  ],
  "title": "Sustainable joint maintenance and renewal planning for urban railways via lexicographic optimization",
  "title_text": "Sustainable joint maintenance and renewal planning for urban railways via lexicographic optimization",
  "type": "peer-reviewed",
  "updated_at": "2026-11-06T12:20:44Z",
  "url": "https://research.draconitic.com/paper/0r9x0g3rhdxj7",
  "venue": "Socio-Economic Planning Sciences",
  "versions": []
}