{
  "abstract": "Flooding disproportionately affects marginalized communities, yet flood risk assessments rarely integrate social and environmental dimensions within a single spatial framework. This study develops an integrated methodology for assessing flood vulnerability in Harris County, Texas, by combining a Social Inequity Index (SII), built using Principal Component Analysis on socio-economic and demographic variables, with a Flood Susceptibility Map (FSM), built using the Analytic Hierarchy Process on environmental and topographic indicators. The two are integrated into a composite Flood Vulnerability Map (FVM) and examined using spatial statistics — hot spot analysis, Moran's I, and (Multiscale) Geographically Weighted Regression — to test whether, and where, social inequity and flood risk spatially coincide. Results show that flood susceptibility and social inequity are only weakly correlated at the county level ( r = 0.042), but exhibit meaningful localized overlap: 12.83% of census tracts ( n = 143) are simultaneously classified as hot spots for both flood susceptibility and social inequity, with Black, Hispanic, and elderly-disabled populations disproportionately represented in these zones. These findings suggest that county-wide statistical association is a poor proxy for compounded risk, and that spatially explicit, tract-level analysis is necessary to identify where equity-focused flood resilience investment is most needed.",
  "abstract_shown": true,
  "affiliations": [
    "NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal; Corresponding author at: NOVA IMS, Campus de Campolide, 1070-312 Lisboa. Portugal.",
    "NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisboa, Portugal",
    "Universitat Jaume I, Castelló, Spain"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Flavio Vata"
    },
    {
      "affs": [
        1
      ],
      "name": "Marco Painho"
    },
    {
      "affs": [
        1
      ],
      "name": "Ana Cristina Costa"
    },
    {
      "affs": [
        2
      ],
      "name": "Carlos Granell"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1drjv26e1exnt.bib",
  "cited_by": 0,
  "doi": "10.1016/j.pdisas.2026.100776",
  "fulltext_url": "http://www.sciencedirect.com/science/article/pii/S2590061726002620",
  "id": "1drjv26e1exnt",
  "issns": [
    "2590-0617"
  ],
  "landing_url": "https://doi.org/10.1016/j.pdisas.2026.100776",
  "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",
      "GE1-350"
    ],
    [
      "lcc",
      "H1-99"
    ],
    [
      "openalex",
      "2306|Flood Risk Assessment and Management"
    ]
  ],
  "openalex": "W4414203757",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-02",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/1drjv26e1exnt.ris",
  "sources": [
    {
      "first_seen": "2026-11-02T14:21:09Z",
      "native_id": "0c9d4eb0869443d2a0f71b0f11af807f",
      "source": "doaj",
      "url": "https://doi.org/10.1016/j.pdisas.2026.100776"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:2306|Flood Risk Assessment and Management",
      "subfield": "climate"
    }
  ],
  "title": "An integrated framework to assess social inequity and flood susceptibility: a case study of Harris County, Texas",
  "title_text": "An integrated framework to assess social inequity and flood susceptibility: a case study of Harris County, Texas",
  "type": "peer-reviewed",
  "updated_at": "2026-11-03T14:21:12Z",
  "url": "https://research.draconitic.com/paper/1drjv26e1exnt",
  "venue": "Progress in Disaster Science",
  "versions": []
}