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Applied Sciences
Special Issues
BIM and GIS Integration for Driving Smarter Decisions
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BIM and GIS Integration for Driving Smarter Decisions

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 13167

Special Issue Editors

Prof. Dr. Peng Wu

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Guest Editor
School of Design and the Built Environment, Curtin University, Perth, Australia
Special Issues, Collections and Topics in MDPI journals
Dr. Wenchi Shou

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Guest Editor
Western Sydney University, Australia
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. Jun Wang

E-Mail Website
Guest Editor
School of Archit. & Built Env., Deakin University, Burwood, Australia
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Building information modelling (BIM) is playing a key role in improving building life cycle information management. It can contribute to smarter decision making for construction projects by providing more effective communication and collaboration between stakeholders via a common data environment (CDE) which allows simultaneous building information access. Geographic information systems (GIS) are widely used by the geospatial industry to gather, manage and analyse heterogeneous, geolocation-based data. With advanced spatial analysis algorithms, GIS can reveal deeper insights into geographic patterns, relationships and trends, helping city managers to make smarter decisions. Recently, Smart City, Digital Twin and City Brain have been attracting a lot of attention from researchers. The core idea behind those terms is to develop 3D digital replicas of the physical world by integrating BIM and GIS. Through such integration, every decision can be tested and simulated before implementation, thus significantly cutting costs and reducing the chance of failure when implemented in reality.

However, integrating BIM and GIS at data level is still challenging due to the massive variety in tools and systems, heterogeneous data and immature open data standards. In addition, existing data schemes for BIM and GIS have different semantic concepts, development purposes and data structures, making the integration even more difficult. The aim of this Special Issue is then to address practical and theoretical problems associated with BIM and GIS integration. Special attention would be given to the emerging developments and advances in this area. Topics include but are not limited to:

  • BIM and GIS integration for smart cities and/or communities;
  • BIM and GIS integration for smart infrastructure;
  • BIM and GIS integration for life cycle asset data management;
  • BIM and GIS integration for better project planning, design, construction, operation and maintenance;
  • Data integration/interoperability between BIM and GIS;
  • Semantic integration between BIM and GIS;
  • Improvement of international open data standards: IFC, CityGML, InfraGML, etc.;
  • Advancing BIM and GIS through Artificial Intelligence;
  • BIM and GIS data visualisation;
  • Web-based BIM and GIS integration;
  • Other application of BIM and GIS integration.

Prof. Dr. Peng Wu
Dr. Wenchi Shou
Dr. Junxiang Zhu
Dr. Jun Wang
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Published Papers (2 papers)

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Research

22 pages, 8098 KiB  
Article
A Simplified CityGML-Based 3D Indoor Space Model for Indoor Applications
by Qun Sun, Xiaoguang Zhou and Dongyang Hou
Appl. Sci. 2020, 10(20), 7218; https://0-doi-org.brum.beds.ac.uk/10.3390/app10207218 - 16 Oct 2020
Cited by 10 | Viewed by 4026
Abstract
With the continuous development of indoor positioning technology, various indoor applications, such as indoor navigation and emergency rescue, have gradually received widespread attention. Indoor navigation and emergency rescue require access to a variety of indoor space information, such as accurate geometric information, rich [...] Read more.
With the continuous development of indoor positioning technology, various indoor applications, such as indoor navigation and emergency rescue, have gradually received widespread attention. Indoor navigation and emergency rescue require access to a variety of indoor space information, such as accurate geometric information, rich semantic information and indoor spatial adjacency information; hence, a suitable 3D indoor model is needed. However, the available models, such as BIM and CityGML, mainly represent geometric and semantic information of indoor spaces, and rarely describe the topological adjacency relationship of interior spaces. To address the requirements of indoor navigation and emergency rescue, a simplified 3D indoor model is proposed in this research. The building components and indoor functional spaces of buildings are described in a simplified way. The geometric and semantic information are described based on CityGML, and the topological relationships of indoor adjacent spaces are represented by CityGML XLinks. While describing the indoor level of detail (LOD) of buildings in detail, the model simplifies building components and indoor spaces, which can preserve the characteristics of indoor spaces to the maximum extent and serve as a basis for indoor applications. Full article
(This article belongs to the Special Issue BIM and GIS Integration for Driving Smarter Decisions)
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19 pages, 5683 KiB  
Article
Automatically Processing IFC Clipping Representation for BIM and GIS Integration at the Process Level
by Junxiang Zhu, Peng Wu, Mengcheng Chen, Mi Jeong Kim, Xiangyu Wang and Tingchen Fang
Appl. Sci. 2020, 10(6), 2009; https://0-doi-org.brum.beds.ac.uk/10.3390/app10062009 - 15 Mar 2020
Cited by 88 | Viewed by 8446
Abstract
The integration of building information modeling (BIM) and geographic information system (GIS) is attracting more attention than ever due to its potential benefits for both the architecture, engineering, and construction (AEC) domain and the geospatial industry. The main challenge in BIM and GIS [...] Read more.
The integration of building information modeling (BIM) and geographic information system (GIS) is attracting more attention than ever due to its potential benefits for both the architecture, engineering, and construction (AEC) domain and the geospatial industry. The main challenge in BIM and GIS integrated application comes from the fundamental data conversion, especially for the geometric information. BIM and GIS use different modeling paradigms to represent objects. The BIM dataset takes, for example, Industry Foundation Classes (IFC) that use solid models, such as boundary representation (B-Rep), swept solid, constructive solid geometry (CSG), and clipping, while the GIS dataset mainly uses surface models or B-Rep. The fundamental data conversion between BIM and GIS is the foundation of BIM and GIS integrated application. However, the efficiency of data conversion has been greatly impaired by the human intervention needed, especially for the conversion of the clipping geometry. The goal of this study is to automate the conversion of IFC clipping representation into the shapefile format. A process-level approach was developed with an algorithm for instantiating unbounded half spaces using B-Rep. Four IFC models were used to validate the proposed method. The results show that (1) the proposed approach can successfully automate the conversion of IFC clipping representation into the shapefile format; and (2) increasing boundary size has no effect on the file size of unbounded half spaces, but slightly increases the producing time of half spaces and processing time of building components. The efficiency of this study can be further improved by using an open-source package, instead of using the low-efficiency packages provided by ArcGIS. Full article
(This article belongs to the Special Issue BIM and GIS Integration for Driving Smarter Decisions)
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