{
  "abstract": "High-resolution origin-destination (OD) tables derived from digital mobility traces can preserve fine-scale collective movement structure, but sampling, population expansion, and privacy-motivated low-count suppression create heterogeneous observational support across OD entries and make apparent zeros difficult to interpret. We develop a reliability-aware refinement framework that combines each released OD entry with a time-resolved, data-informed radiation baseline through a closed-form cell-wise Gamma-Poisson update, without smoothing neighboring OD pairs. Applied to a 125 m hourly Tokyo OD product, the method preserves concentrated directional flows while adding lower-intensity, baseline-supported links. The relative contribution of released and model-supported structure varies substantially across OD pairs and departure hours, including among positive-flow entries: released flows are most strongly retained at 7:00, followed by 17:00, whereas the radiation baseline contributes more at 13:00. The inferred characteristic radius broadens the movement range represented by the baseline and exhibits structured variation around major station areas and rail corridors. Tokyo and Fukuoka also show a common increase in data-baseline separation at long distances. Under controlled Poisson thinning, calibrated refinement yields lower realization-averaged mean absolute error than an independently resampled no-refinement table across the tested conditions. This experiment provides internal calibration under imposed degradation, not external validation against true unsuppressed flows. The framework thus provides a transparent way to preserve fine-scale empirical mobility structure while making the cell-wise contribution of structured model support explicit.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.21626",
  "author_total": 4,
  "authors": [
    {
      "name": "Yohei Shida"
    },
    {
      "name": "Ryosuke Susuta"
    },
    {
      "name": "Takuhiro Moriyama"
    },
    {
      "name": "Jun'ichi Ozaki"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ftw5vmexhegd1.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.21626",
  "fulltext_url": null,
  "id": "ftw5vmexhegd1",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.21626",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.soc-ph"
    ],
    [
      "arxiv",
      "stat.AP"
    ],
    [
      "openalex",
      "3313|Human Mobility and Location-Based Analysis"
    ]
  ],
  "openalex": "W7222676476",
  "pdf_url": "https://arxiv.org/pdf/2610.21626",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-15",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ftw5vmexhegd1.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:29:50Z",
      "native_id": "2610.21626",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.21626"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:stat.AP",
      "subfield": "statistics"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.soc-ph",
      "subfield": "statistical-nonlinear"
    }
  ],
  "title": "Reliability-Aware Refinement of High-Resolution Human Mobility Origin-Destination Tables under Sparsity and Suppression",
  "title_text": "Reliability-Aware Refinement of High-Resolution Human Mobility Origin-Destination Tables under Sparsity and Suppression",
  "type": "preprint",
  "updated_at": "2026-10-30T12:30:00Z",
  "url": "https://research.draconitic.com/paper/ftw5vmexhegd1",
  "venue": "arXiv",
  "versions": []
}