An Integrated BIM and GIS Framework for Sustainable Urban Planning

Urban planning has various issues as cities expand rapidly, population density rises, and urban infrastructure becomes more complicated. Poor exploitation of resources such as land, energy, and water has contributed to environmental degradation and unsustainable development. The lack of integrated data systems for the management of building and geographical information complicates decision-making in the process of urban planning. This may result in congestion, insufficient public services, energy inefficiency, and inadequate environmental management. Such issues require an integrated solution in urban planning, from specific building-level data to wide geographical information, in order to maximize resource utilization and improve the quality of life in urban areas. The paper proposes an integrated BIM and GIS framework to take up the challenges in urban planning within high-density environments. The integration of the thorough building models of BIM with the spatial context of GIS allows comprehensive urban analysis, hence enhancing decision-making for growth in sustainable cities. It also allows the running of advanced simulations such as energy use, flow of traffic, and environmental impact studies. Furthermore, it has aided in improving collaboration between planners, developers, and other stakeholders, in order to create more comprehensive urban development strategies.

Authors

Publication Details

Journal
JES. Journal of Engineering Sciences/JES. Journal of engineering sciences
Published
2025-03-23
DOI
https://doi.org/10.21608/jesaun.2025.358173.1422
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Integrated BIM and GIS Framework for Sustainable Urban Planning

Doaa Mohamed ElBeheiry
JES. Journal of Engineering Sciences/JES. Journal of engineering sciences
3D Modeling in Geospatial Applications
article

An Integrated BIM and GIS Framework for Sustainable Urban Planning

Doaa Mohamed ElBeheiry
article en

Abstract

Urban planning has various issues as cities expand rapidly, population density rises, and urban infrastructure becomes more complicated. Poor exploitation of resources such as land, energy, and water has contributed to environmental degradation and unsustainable development. The lack of integrated data systems for the management of building and geographical information complicates decision-making in the process of urban planning. This may result in congestion, insufficient public services, energy inefficiency, and inadequate environmental management. Such issues require an integrated solution in urban planning, from specific building-level data to wide geographical information, in order to maximize resource utilization and improve the quality of life in urban areas. The paper proposes an integrated BIM and GIS framework to take up the challenges in urban planning within high-density environments. The integration of the thorough building models of BIM with the spatial context of GIS allows comprehensive urban analysis, hence enhancing decision-making for growth in sustainable cities. It also allows the running of advanced simulations such as energy use, flow of traffic, and environmental impact studies. Furthermore, it has aided in improving collaboration between planners, developers, and other stakeholders, in order to create more comprehensive urban development strategies.

JES. Journal of Engineering Sciences/JES. Journal of engineering sciencesVol. 0(0)
Sustainable cities and communities
Openalex Percentile: Top 94%
3D Modeling in Geospatial Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.