{
  "abstract": "Maritime disruption planning requires joint strategic storage and transport capacity decisions under uncertainty. We develop a two-stage stochastic multi-commodity network-design model for national energy security that integrates corridor commitments, port--commodity inventories, storage expansion, and scenario-dependent routing for crude oil, LNG, LPG, and fertilizer. The formulation incorporates decision-dependent probabilities, corridor concentration limits, and mean--CVaR risk, admitting an exact MILP reformulation. In a data-anchored India-inspired case study, stochastic modeling outperforms the expected-value policy by 1.35%, with decision-dependent probabilities worth 0.67%. Service levels are heterogeneous: crude and fertilizer maintain full coverage, while LNG and LPG drop to 34.6% and 33.3% under worst-case scenarios. Storage expansion adds 1,775 capacity units across seven port--commodity pairs and reduces active corridor commitments. Sensitivity analyses demonstrate that dependence alters economic exposure while preserving policy optimality, though cost stresses modify first-stage decisions with a maximum regret of 1.1673%.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Journal reference: Transportation Research Part E: Logistics and Transportation Review (2026)",
  "arxiv": "2605.11990",
  "author_total": 2,
  "authors": [
    {
      "name": "Monit Sharma"
    },
    {
      "name": "Hoong Chuin Lau"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/04cabgeazwrcn.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2605.11990",
  "fulltext_url": null,
  "id": "04cabgeazwrcn",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2605.11990",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "math.OC"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2605.11990",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-16",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/04cabgeazwrcn.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:30:37Z",
      "native_id": "2605.11990",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2605.11990"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.OC",
      "subfield": "optimisation-control"
    }
  ],
  "title": "Securing the Flow: Strategic Storage and Corridor Design for Maritime Energy Security under Chokepoint Disruptions",
  "title_text": "Securing the Flow: Strategic Storage and Corridor Design for Maritime Energy Security under Chokepoint Disruptions",
  "type": "preprint",
  "updated_at": "2026-10-30T12:33:31Z",
  "url": "https://research.draconitic.com/paper/04cabgeazwrcn",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1016/j.tre.2026.105296",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}