Experiment for Integrating Dutch 3d Spatial Planning and Bim for Checking Building Permits

Berlo, L.A.H.M. van; Dijkmans, T.J.A.; Stoter, J.E.

doi:10.5194/isprsannals-ii-2-w1-279-2013

Cited by 22 publications

(37 citation statements)

References 2 publications

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“…The rule checking in our studies has resemblance with some previous work especially with [6] and [22]. The main difference with the work by Brasebin et al [6] is that they work with a simple building model (somewhat simplified, an extruded building footprint) while our studies work with complete BIM models.…”

Section: Discussionmentioning

confidence: 41%

“…It would be interesting to combine our approach with the BIM models with their use of more formalised rule checking (using the Object Constraint Language, OCL, [23]). The rule checking in van Berlo [22] is proposed to be performed in a BIM environment (using tools such as Solibri Model Checker). This approach requires that the situation plan as well as the digital development plan are converted to a BIM environment (e.g., in the IFC format).…”

Section: Discussionmentioning

confidence: 99%

“…An example was provided by van Berlo et al [22], who proposed and tested a method where the architects import the 3D detailed development plan into a BIM environment by transforming the plan to the IFC format. In the BIM environment, they then checked building regulations such as maximum allowed building volume, the maximum percentage of built-up area on the site (densification level) and maximum allowed noise impact on each facade.…”

Section: Analytical Rule Checkingmentioning

confidence: 99%

“…In the BIM environment, they then checked building regulations such as maximum allowed building volume, the maximum percentage of built-up area on the site (densification level) and maximum allowed noise impact on each facade. Van Berlo et al [22] argued that one advantage with this approach is that the architects can perform early model checks in a familiar environment (e.g., Solibri Model Checker) already during the design process. In addition, Brasebin et al [6] worked with rule checking in their detailed development plan.…”

Section: Analytical Rule Checkingmentioning

confidence: 99%

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Automation of Building Permission by Integration of BIM and Geospatial Data

Olsson

Axelsson

Hooper

et al. 2018

IJGI

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Abstract:The building permission process is to a large extent an analogue process where much information is handled in paper format or as pdf files. With the ongoing digitalisation in society, there is a potential to automate this process by integrating Building Information Models (BIM) of planned buildings and geospatial data to check if a building conforms to the building permission regulations. In this study, an inventory of which regulations in the (Swedish) detailed development plans that can be automatically checked or supported by 3D visualisation was conducted. Then, two of these regulations, the building height and the building footprint area, were studied in detail to find to which extent they can be automatically checked by integration of BIM and geospatial data. In addition, a feasibility study of one visual criterion was conducted. One concern when automating the building permission process is the variability of content within the Industry Foundation Classes (IFC) data model. Variations in modelling methods and model content leads to differences in IFC models' content and structure; these differences complicate automated processes. To facilitate automated processes, requirements on the production of IFC models for building permission applications could be defined in the form of model view definitions or delivery specifications.

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Section: Discussionmentioning

confidence: 41%

Section: Discussionmentioning

confidence: 99%

Section: Analytical Rule Checkingmentioning

confidence: 99%

Section: Analytical Rule Checkingmentioning

confidence: 99%

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Automation of Building Permission by Integration of BIM and Geospatial Data

Olsson

Axelsson

Hooper

et al. 2018

IJGI

View full text Add to dashboard Cite

show abstract

“…There is a growing interest to automate the building permit process, as the current process often prolongs the construction time. Information, such as detailed development plans and building permit regulations, are still often handled in paper format or as pdf files [53][54][55]. This can make the process ineffective, both concerning time and cost.…”

Section: Building Permit Processmentioning

confidence: 99%

Requirements, Development, and Evaluation of A National Building Standard—A Swedish Case Study

Eriksson

Johansson

Olsson

et al. 2020

IJGI

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The aim of this paper is to present a proposal for a national building standard in Sweden. We define requirements for the proposed standard, e.g., it should support development of 3D city models, connect to building information models (BIM) and national registers and be based on a national classification system for the urban environment. Based on these requirements we develop an Application Domain Extension (ADE) of the building model in the proposed CityGML 3.0 standard denoted CityGML Sve-Test. CityGML 3.0 includes several new features of interest, e.g., the space concept, enhanced possibilities to convert data, and to link to other standards. In our study we create test data according to CityGML Sve-Test and evaluate it against the requirements. It is shown that BIM models (in Industry Foundation Classes, IFC, format) can be converted to CityGML Sve-Test and that a classification system facilitates this conversion. The CityGML Sve-Test dataset can be used to increase the automation level in building permissions checking and a related study shows that CityGML 3.0 has capabilities to link to legal information and be a base for 3D cadastral index maps. Based on our experience, we suggest that the national building standard should conform to international standards and, if possible, include a classification system. The exchange format (GML, JSON etc.) might change, but to be based on a standardized data model ensures harmonized structures and concepts.

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Multi-disciplinary Use of Three-Dimensional Geospatial Information

Krijnen

Noardo

Ohori

et al. 2021

Structural Integrity

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In this chapter, we start from the typical concepts from Geographic Information System (GIS): data representation, acquisition, querying and analysis. We follow with the transition from 2 to 3D GIS and describe open standards such as CityGML and CityJSON and recent advances on 3D geospatial simulations, computing and real-time GIS and Internet of Things (IoT). Then we discuss the discrepancies in information management and modelling with respect to Building Information Modelling (BIM) and the related open standard, Industry Foundation Classes (IFC). We highlight the difference between Cartesian engineering coordinate systems and geospatial coordinate reference systems, contrast the procedural geometry definitions of IFC with the explicit geometries of GIS and look at implementation mechanisms such as boundary representations and polyhedral surface models and describe the semantic Level of Detail used in CityGML. The section that follows describes relevant processes supporting integration such as georeferencing, conversion of formats using semantic and geometric approaches and linking of heterogeneous information. We also highlight interoperability challenges that stem from consistency and validity of data, by interpreting the results of a recent benchmark on interoperability of the most common involved data formats (CityGML and IFC). We close with a conclusion and perspectives on the future with case studies on geo-enabled building permit checking and geospatial artificial intelligence and machine learning.

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Experiment for Integrating Dutch 3d Spatial Planning and Bim for Checking Building Permits

Cited by 22 publications

References 2 publications

Automation of Building Permission by Integration of BIM and Geospatial Data

Automation of Building Permission by Integration of BIM and Geospatial Data

Requirements, Development, and Evaluation of A National Building Standard—A Swedish Case Study

Multi-disciplinary Use of Three-Dimensional Geospatial Information

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