BIM–GIS Integrated Utilization in Urban Disaster Management: The Contributions, Challenges, and Future Directions

Cao, Yu; Xu, Chao; Aziz, Nur Mardhiyah; Kamaruzzaman, Syahrul Nizam

doi:10.3390/rs15051331

Cited by 27 publications

(9 citation statements)

References 165 publications

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“…Moreover, it is possible to search for a route that considers the city infrastructure in the initial route search. In addition, through the integration of GIS and BIM environments, a city model can be visualized, and an evaluation model can be created [7], which can be used as a decision-making model suitable for street-based sports events. Therefore, in this study, we propose a comprehensive decision-making framework based on GIS-routing-BIM, which can be used to solve the problems of current street-based sports events; to this end, we selected a specific city, conducted an experiment, and discuss the results in this paper.…”

Section: Literature Review 121 Limitations Of the Street-based Event-...mentioning

confidence: 99%

GIS-Based Multi-Objective Routing Approach for Street-Based Sporting-Event Routing

et al. 2023

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This study proposes a decision-making framework that integrates a routing model based on the geographic information system (GIS) and a genetic algorithm into a building-information modeling (BIM) environment to overcoming the limitations of the planning process of traditional street-based sporting events. There is a lack of research on improving the manually conducted decision-making processes for street-based sporting events. Moreover, previous routing studies were limited to GIS environments, and proposals for decision-making models integrated with BIM environments are lacking. In this study, the applicability of the framework was verified by presenting the variables of the existing GIS-based routing model as environmental variables to consider the impact of street-based sports events on a city. The evaluation model for the route selection was parameterized independently, such that its priority could be changed according to the user’s needs. Moreover, we integrated the data into BIM to create and analyze models that assess urban effects. This method is a decision-making system for policymakers and event planners to promptly conduct initial venue surveys through the technological integration of GIS–routing–BIM. Additionally, the GIS stipulated in this study can be applied to other cities. The Gwanghwamun area of Seoul, South Korea, was selected as the case study.

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Section: Literature Review 121 Limitations Of the Street-based Event-...mentioning

confidence: 99%

GIS-Based Multi-Objective Routing Approach for Street-Based Sporting-Event Routing

et al. 2023

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“…There are 19 literature review articles [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49] on IFCOI according to a preliminary literature retrieval. Among them, five literature reviews focus on the application of IFC or ontology in a specific domain [31][32][33][34][35], seven discuss the role of ontology in integrating BIM with other technologies [37][38][39][40]42,43,47,48], and six review the independent application of IFC or ontology [36,41,[44][45][46]49], respectively. However, there is no comprehensive review of IFCOI.…”

Section: Introductionmentioning

confidence: 99%

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

Jia,

Ma,

Zhang

2024

Buildings

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Industry Foundation Classes (IFCs), as the most recognized data schema for Building Information Modeling (BIM), are increasingly combined with ontology to facilitate data interoperability across the whole lifecycle in the Architecture, Engineering, Construction, and Facility Management (AEC/FM). This paper conducts a bibliometric analysis of 122 papers from the perspective of data, model, and application to summarize the modes of IFC and ontology integration (IFCOI). This paper first analyzes the data and models of the integration from IFC data formats and ontology development models to the IfcOWL data model. Next, the application status is summed up from objective and phase dimensions, and four frequent applications with maturity are identified. Based on the aforementioned multi-dimensional analysis, three integration modes are summarized, taking into account various data interoperability requirements. Accordingly, ontology behaves as the representation of domain knowledge, an enrichment tool for IFC model semantics, and a linkage between IFC data and other heterogeneous data. Finally, this paper points out the challenges and opportunities for IFCOI in the data, domain ontology, and integration process and proposes a building lifecycle management model based on IFCOI.

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“…In order to describe, share and interoperate building domain information in a uniform way, IFCs (industrial foundation classes) have been proposed and are widely used. The IFC4 standard defines 776 entity types, hundreds of other types and thousands of articles of attribute information in four conceptual layers (resource layer, core layer, interaction layer and domain layer), which results in a huge amount of information [10,11]. The large amount of information carried by a BIM model is stored in text format, and multiple components refer to the same geometric data at the same time in the data representation, resulting in a large amount of redundant data among the components [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

BIM Data Model Based on Multi-Scale Grids in Civil Engineering Buildings

Zhang,

Li,

2024

Remote Sensing

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The construction of digital twin cities is a current research hotspot; GIS technology and BIM technology are widely used in the field of digital twin cities. However, BIM is still subject to major limitations in its applications, mainly due to huge amounts of model data, low query efficiency and accuracy, non-uniform marking systems, etc. The reason is that the BIM model itself focuses more on the expression of visual effects and lacks spatial calculation ability and the utilization of spatial location information. Secondly, the current lightweight processing methods for BIM models are mostly based on geometric transformation and rendering optimization, focusing more on the data compression and visual quality of the model, which essentially does not change the data structure of the BIM model, and it is difficult to establish the mapping relationship between spatial location and spatial data, information, and resources. In addition, current coding methods proposed for BIM models are mostly based on the line classification method, which realizes the identification of components based on the classification of their attributes, and the location information is stored according to the attributes or natural language descriptions, which need to be parsed and translated when they are used, and this procedure ignores the importance of spatial location in daily management and emergency management. The importance of spatial location in daily management and emergency management is also ignored. Based on this kind of identification code, it is impossible to directly analyze and apply spatial location data. Therefore, this paper takes the combination of GIS technology and BIM technology as the starting point and proposes a BIM data modeling method based on the BeiDou grid code, based on the efficiency of its underlying data organization and the accuracy of its real geographic location expression on the one hand and the completeness of the information expression by BIM and fine three-dimensional visualization on the other hand. Finally, a series of experiments are carried out based on the method. Through visualization modeling and efficiency experiments, different feature models are meshed to verify the feasibility and efficiency of the model. Through coding and information query experiments, the model′s data organization capability, data dynamic carrying capability, and efficient spatial computation capability and practical application capability are verified.

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BIM–GIS Integrated Utilization in Urban Disaster Management: The Contributions, Challenges, and Future Directions

Cited by 27 publications

References 165 publications

GIS-Based Multi-Objective Routing Approach for Street-Based Sporting-Event Routing

GIS-Based Multi-Objective Routing Approach for Street-Based Sporting-Event Routing

Integration of Industry Foundation Classes and Ontology: Data, Applications, Modes, Challenges, and Opportunities

BIM Data Model Based on Multi-Scale Grids in Civil Engineering Buildings

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