Level of Integration (LoInt): A Conceptual Framework for BIM-GIS Data Integration

Abstract. Building Information Modelling (BIM) – Geographic information System (GIS) data integration constitutes a crucial component in the development of urban digital twins. This integration can be achieved through a variety of techniques and methodologies; however, numerous challenges arise during the integration process that hinder seamless interoperability. Although several attempts have been made to address these challenges, prior studies tend to address these challenges in isolation, and the literature stills lacks from a standardized approach to perform the integration. This paper proposes a conceptual framework designed to support standardizing the integration practices by synthesizing these challenges into a progressive, structured model. The framework consists of four Levels of Integration (LoInt) that are designed from LoInt100 to LoInt400, each level identifies and categorizes integration challenges into distinct classes and provides a literature-based approach to address the challenges. Moreover, each level corresponding to the degree of interoperability between BIM and GIS systems. The framework can be utilized as a guideline and as a decision-making support system in applications that require BIM-GIS data integration.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2026-01-15
DOI
https://doi.org/10.5194/isprs-archives-xlviii-4-w17-2025-207-2026
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Level of Integration (LoInt): A Conceptual Framework for BIM-GIS Data Integration

Avril Behan, Peshawa Mohammed, Dympna O'Sullivan
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
3D Modeling in Geospatial Applications
article

Level of Integration (LoInt): A Conceptual Framework for BIM-GIS Data Integration

Avril Behan, Peshawa Mohammed, Dympna O'Sullivan
article en

Abstract

Abstract. Building Information Modelling (BIM) – Geographic information System (GIS) data integration constitutes a crucial component in the development of urban digital twins. This integration can be achieved through a variety of techniques and methodologies; however, numerous challenges arise during the integration process that hinder seamless interoperability. Although several attempts have been made to address these challenges, prior studies tend to address these challenges in isolation, and the literature stills lacks from a standardized approach to perform the integration. This paper proposes a conceptual framework designed to support standardizing the integration practices by synthesizing these challenges into a progressive, structured model. The framework consists of four Levels of Integration (LoInt) that are designed from LoInt100 to LoInt400, each level identifies and categorizes integration challenges into distinct classes and provides a literature-based approach to address the challenges. Moreover, each level corresponding to the degree of interoperability between BIM and GIS systems. The framework can be utilized as a guideline and as a decision-making support system in applications that require BIM-GIS data integration.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-4/W17-2025
SolarPrint (Ireland) (IE), Technological University Dublin (IE)
Science Foundation Ireland
Sustainable cities and communities
Openalex Percentile: Top 87%
3D Modeling in Geospatial Applications
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Level of Integration (LoInt): A Conceptual Framework for BIM-GIS Data Integration — Avril Behan, Peshawa Mohammed, et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2026) | TGRS Research Map | TGRS