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Buildings
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Towards More Practical BIM/GIS Integration
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Towards More Practical BIM/GIS Integration

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 664

Special Issue Editors

Dr. Junxiang Zhu

E-Mail Website
Guest Editor
1. Civil Engineering, Department of Engineering, The University of Cambridge, Cambridge CB2 1TN, UK
2. School of Design and the Built Environment, Curtin University, Perth, Australia
Interests: BIM/GIS integration; industry foundation classes; digital twin; GeoBIM; graph
Special Issues, Collections and Topics in MDPI journals
Dr. Ran Wei

E-Mail Website
Guest Editor
Department of Engineering, University of Cambridge, Cambridge CB2 1TN, UK
Interests: model-based systems engineering; digital twins; automated software engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Yi Tan

E-Mail Website1 Website2
Guest Editor
Colledge of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518052, China
Interests: BIM/GIS integration; industry foundation classes; digital twin; VR/AR; smart construction and O&M
Special Issues, Collections and Topics in MDPI journals
Dr. Mengtian Yin

E-Mail Website
Guest Editor
Civil Engineering, Department of Engineering, The University of Cambridge, Cambridge CB2 1TN, UK
Interests: BIM; digital twin; AI for construction; ontologies; natural language processing; graph ML

Special Issue Information

Dear Colleagues,

The integration of building information modelling (BIM) and geographic information systems (GIS) contributes to digital twins and, more broadly, the Smart City. Over the last fifteen years, this topic has been investigated by researchers from various fields at both the fundamental data level and the higher application level.

The data-level integration primarily deals with two tasks, i.e., geometry conversion and semantics transfer. In terms of geometry conversion, early studies focused on the conversion of IFC (Industry Foundation Classes) into CityGML (City Geography Markup Language), GML (Geography Markup Language), or shapefile, while Semantic Web techniques, such as resource description framework (RDF), were used to deal with the semantics.

In recent years, more technologies and data standards have become available, such as the labelled property graph (LPG)-based graph database, 3D tiles, Indexed 3D Scene Layer (I3S), and the new CityGML 3.0. These new, emerging technologies, as well as those in relevant areas such as Artificial Intelligence (AI) and Mixed Reality (MR), introduce new opportunities to deal with practical problems. Therefore, the purpose of this Special Issue is to showcase the use of BIM/GIS integration, in conjunction with other technologies, in solving practical problems relating to, but not limited to, the following:

  • Digital twin;
  • Smart city;
  • Emergency response, e.g., indoor/outdoor route planning;
  • Natural hazard, e.g., flood, landslide;
  • Digital building permit;
  • Infrastructure management, e.g., railway, road, and dam;
  • Indoor/outdoor navigation;
  • Infrastructure operation and maintenance;
  • City information modelling.

Dr. Junxiang Zhu
Dr. Ran Wei
Dr. Yi Tan
Dr. Mengtian Yin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • BIM/GIS integration
  • semantic web
  • graph theory
  • labelled property graph
  • infrastructure management
  • building permit
  • smart city
  • digital twin

Published Papers (1 paper)

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Research

30 pages, 35030 KiB  
Article
Data Management Framework for Highways: An Unreal Engine-Based Digital Sandbox Platform
by Huabing Lv, Guoqiang Wu, Jianping Song, Chunhua Mo, Guowen Yao and Xuanbo He
Buildings 2024, 14(7), 1961; https://doi.org/10.3390/buildings14071961 - 28 Jun 2024
Viewed by 346
Abstract
The problems of information isolation, inefficiency, and paper-based data archiving in traditional highway survey and design methods are investigated in this paper. A novel digital sandbox platform framework was developed to promote the efficiency of route design, model data integration, and information sharing. [...] Read more.
The problems of information isolation, inefficiency, and paper-based data archiving in traditional highway survey and design methods are investigated in this paper. A novel digital sandbox platform framework was developed to promote the efficiency of route design, model data integration, and information sharing. Under the presented framework, an integrated application method for both the Building Information Modeling (BIM) and Geographic Information System (GIS) technologies was designed by using Unreal Engine technology. Firstly, a digital base model was established by integrating multi-disciplinary BIM model data and GIS three-dimensional (3D) multi-scale scene model data. On this basis, using Unreal Engine technology for visualization development, a digital sandbox platform with the data visualization, traffic organization simulation analysis, 3D spatial analysis, component information query, and scene switching functions was developed, which satisfies the 3D visualization and digitalization needs in the current highway planning and design. Additionally, the Analytic Hierarchy Process (AHP) was employed to analyze the impact of digital base model on the development and application of platform modules, including five crucial factors: data accuracy, data representation, multi-source data fusion, data management capability, and scene semantic representation. Finally, the research results indicate that the proposed digital sandbox platform framework provides users with a platform for integrated data management, information sharing, and 3D data visualization, while reducing design time by 30%, total design cost by 12%, and land occupancy rate by 10%. Full article
(This article belongs to the Special Issue Towards More Practical BIM/GIS Integration)
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