{
  "abstract": "The rapid growth in electric vehicle (EV) ownership has intensified the linkage between urban parking shortages and charging infrastructure constraints, rendering conventional parking-only layout frameworks inadequate. Therefore, this study proposes integrating EV charging demand into on-street parking layout optimization from a Transport-Energy Integration (TEI) perspective. First, a Stated Preference (SP) survey was conducted to analyze user charging choice behavior, and a Logit model was developed to quantify the effects of factors such as remaining battery level, walking distance, charging price, and parking discounts on charging probability. Second, a multi-objective on-street parking layout optimization model was constructed, aiming to maximize parking and charging demand satisfaction rates while minimizing parking facility construction costs and road segment saturation. Finally, a hybrid NSGA-II-AHA algorithm is developed to address the local convergence trap inherent in the standard NSGA-II algorithm. A case study conducted in Laicheng District, Jinan, demonstrates that the optimized layout fully satisfies parking demand (100%) and increases the charging demand satisfaction rate from 59% to 97%, highlighting the practicality and effectiveness of the proposed framework.",
  "abstract_shown": true,
  "affiliations": [
    "School of Transportation and Logistics Engineering, Shandong Jiaotong University",
    "Shandong Zhengqu Traffic Engineering Co., Ltd"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Han Bai"
    },
    {
      "affs": [
        0
      ],
      "name": "Yuxi Yuan"
    },
    {
      "affs": [
        0
      ],
      "name": "Liang Zhao"
    },
    {
      "affs": [
        0
      ],
      "name": "Tianzheng Wei"
    },
    {
      "affs": [
        0
      ],
      "name": "Jian Lu"
    },
    {
      "affs": [
        1
      ],
      "name": "Xiuguang Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bdr0jdfa1tpyv.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-62806-7",
  "fulltext_url": "https://doi.org/10.1038/s41598-026-62806-7",
  "id": "bdr0jdfa1tpyv",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://doi.org/10.1038/s41598-026-62806-7",
  "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": [
    [
      "lcc",
      "Q"
    ],
    [
      "lcc",
      "R"
    ],
    [
      "openalex",
      "2215|Smart Parking Systems Research"
    ]
  ],
  "openalex": "W7170433496",
  "pdf_url": "https://www.nature.com/articles/s41598-026-62806-7_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/bdr0jdfa1tpyv.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:45:42Z",
      "native_id": "2c8f71c6b6ab4e60a3819fb026708ba8",
      "source": "doaj",
      "url": "https://doi.org/10.1038/s41598-026-62806-7"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "lcc:R",
      "subfield": "general"
    }
  ],
  "title": "Optimization of on-street parking layout based on transport-energy integration",
  "title_text": "Optimization of on-street parking layout based on transport-energy integration",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:45:42Z",
  "url": "https://research.draconitic.com/paper/bdr0jdfa1tpyv",
  "venue": "Scientific Reports",
  "versions": []
}