| Issue |
E3S Web Conf.
Volume 683, 2026
2025 2nd International Conference on Environment Engineering, Urban Planning and Design (EEUPD 2025)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 6 | |
| Section | Urban Planning and Spatial Governance | |
| DOI | https://doi.org/10.1051/e3sconf/202668301023 | |
| Published online | 09 January 2026 | |
Integration of Building Information Modelling with Geographic Information System for Underground Utility Mapping
Geoinformation, Faculty Built of Environment and Survey, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
* Nurul Izzati Abd Karim: nizzati.ak@utm.my, nurshafikaalia@graduate.utm.my
The accurate positioning of underground utilities plays a crucial role in managing urban infrastructure, especially in densely populated areas. Traditional 2D CAD drawings often fall short in representing both the depth and precise location of these utilities, which increases the risk of damage during construction and maintenance works. To address this challenge, this study explores the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS) to improve the mapping of underground utilities and enhance both accuracy and efficiency. The research was conducted at Kuala Terengganu, where data were collected using Unmanned Aerial Vehicles (UAV), Terrestrial Laser Scanning (TLS), Pipe and Cable Locators (PCL), and Ground Penetrating Radar (GPR). These datasets were processed in Autodesk Revit and ArcGIS Pro to generate a georeferenced 3D model of the underground network. The findings demonstrate a significant improvement in the accuracy and interoperability of utility data, enabling more effective analysis and visualization of networks. This approach minimizes manual effort, supports safer excavation, and assists urban planners and managers in making well-informed decisions. Overall, the integration of BIM and GIS strengthens the reliability, efficiency, and sustainability of underground utility mapping, contributing to safer urban development and improved infrastructure management
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

