From BIM to Geo-analysis: View Coverage and Shadow Analysis by BIM/GIS Integration

Rafiee, Azarakhsh; Dias, Eduardo; Fruijtier, Steven; Scholten, H.J.

doi:10.1016/j.proenv.2014.11.037

Cited by 65 publications

(57 citation statements)

References 8 publications

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“…It is important to note that some information cannot be extracted or calculated from BIM and instead must be manually entered. For example, when an element (e.g., scaffolding) does not exist in the building model or a needed quantity cannot be calculated based the component properties [12]. Here, the BIM visualization capability is exploited to generate reports and alerts graphically; this drastically reduces the amount of time needed to generate bills of quantities and yields a 3D visualization of the material status instantaneously by comparing the incoming quantity versus the planned quantity without necessitating statistical reports [7].…”

Section: Introductionmentioning

confidence: 99%

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

et al. 2017

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Construction supply chain management is a unique and problematic issue within the construction industry due to its inevitable external risks and variations. The resilience capability of a supplier is of significance in supplier selection; a supplier selected in the context of a resilient construction supply chain (RCSC) is referred to in this research as a "resilient construction supplier". This paper proposes a supplier selection framework tailored to effective information integration for supply chain management. The proposed framework works by integrating building information modeling (BIM) and a geographic information system (GIS) in a RCSC. BIM and GIS together provide highly transparent construction material information, enhanced supply chain status visualization, and workable access information for supplier selection. Supplier performance is evaluated via seventeen resilient criteria under a combined methodology consisting of the analytic hierarchy process (AHP) and grey relational analysis (GRA); AHP and GRA weigh the criteria and rank the suppliers respectively. By varying the weightings given to each criterion, sensitivity analysis was conducted to identify the criteria of resilience which impact the selection priorities of suppliers. An illustrative example is also provided to show the overall process of the proposed framework.

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Section: Introductionmentioning

confidence: 99%

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

et al. 2017

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“…However, all the features are converted, without any selection or post-processing to keep only the relevant ones. Different projects use such approach to obtain integrated datasets useful for visualisation-based analysis, e.g., Rafiee et al [24]. Observe here that for visualisation and other applications, such as daylight simulation, converting all the geometries is not a major hindrance since internal elements will not displayed or will not affect the end result.…”

Section: Previous Gis-bim Integration Effortsmentioning

confidence: 99%

Processing BIM and GIS Models in Practice: Experiences and Recommendations from a GeoBIM Project in The Netherlands

Ohori

Diakité

Krijnen

et al. 2018

IJGI

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Abstract:It is widely acknowledged that the integration of BIM and GIS data is a crucial step forward for future 3D city modelling, but most of the research conducted so far has covered only the high-level and semantic aspects of GIS-BIM integration. This paper presents the results of the GeoBIM project, which tackled three integration problems focussing instead on aspects involving geometry processing: (i) the automated processing of complex architectural IFC models; (ii) the integration of existing GIS subsoil data in BIM; and (iii) the georeferencing of BIM models for their use in GIS software. All the problems have been studied using real world models and existing datasets made and used by practitioners in The Netherlands. For each problem, this paper exposes in detail the issues faced, proposed solutions, and recommendations for a more successful integration.

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“…Integration tasks provide new possibilities for both domains as BIM/IFC "contains very detailed and semantically rich information of a construction" (Rafiee et al, 2014) which is " […] usually not integrated with its surrounding information" (Rafiee et al, 2014) while "Geographic Information Systems (GIS), on the other hand, are capable of performing spatial analysis using the physical and functional spatial representations of an environment" (Rafiee et al, 2014) and thus, analysis might be more comprehensive "due to the complementary nature of the detailed construction information from the BIM and the information about the surrounding area" (Rafiee et al, 2014).…”

Section: Data Acquisition (R2)mentioning

confidence: 99%

“…El-Mekawy and Östman (2010) and El-Mekawy et al (2012) developed the UBM (Unified Building Model) for mapping between IFC and CityGML. Rafiee et al (2014) transformed an IFC model into a GIS environment to perform view and shadow analyses. Comparable studies show that it is not only possible to map and automatically transform between both domains, but also that there is much potential that could be revealed.…”

Section: Available Approaches/related Work (R5)mentioning

confidence: 99%

Smart 3d Building Infrastructures: Linking Gis With Other Domains

Knoth

Mittlboeck

Vockner

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:While digitization as well as new technologies and paradigms such as the Internet of Things (IoT) help solving issues within smart factories, they simultaneously trigger new challenges. The creation of smart factories, whose components communicate in an intelligent manner, is located at the frontier of the virtual and the real world. To connect both worlds, spatio-temporal information can be used to structure and integrate data streams, models and other content such as documents in Enterprise Spatial Data Infrastructures (SDIs). One part of Enterprise SDIs is building information, to support and enhance contextualization of indoor environments and its corresponding information in form of sensor measurements and other digital resources. We identified five major requirements: (1) Three-dimensionality, (2) (Re-)use of available data, (3) Use of GIS-principles and standards, (4) Adaptivity, and (5) Completeness. Our novel approach "OLS3D" addresses these requirements through the use of SDI-principles and linkeddata strategies. A prototypical implementation was developed in order to show the potential of our approach.

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From BIM to Geo-analysis: View Coverage and Shadow Analysis by BIM/GIS Integration

Cited by 65 publications

References 8 publications

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

Processing BIM and GIS Models in Practice: Experiences and Recommendations from a GeoBIM Project in The Netherlands

Smart 3d Building Infrastructures: Linking Gis With Other Domains

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