Abstract
Background: The built environment is increasingly advancing towards a resource efficient circular economy and is leading to more efficient and customisable manufacturing through Industry 4.0.
Purpose and Originality: Research on disaster management mostly focuses on the possibility of using particular types of data for natural disaster management. Although this topic has been intensively examined and analysed by several researchers from different fields of science such as: architecture, engineering, and construction (AEC), further investigation on the integration of big data analytics with BIM systems for disaster resilient built environment is lacking.
Methodology: This paper reviews the current literature on big data analytics with BIM systems to identify gaps in research and aims to examine the application of big data in disaster resilience and management.
Findings: BIM is a process for creating and managing information of construction projects across the project lifecycle. It offers building teams the opportunity to save time and money by reducing friction within a project. Furthermore, BIM models provide several important benefits for the facility management industry as: increased productivity, efficiency transformation, and improved liveable environment. Big data includes a mixture of structured, semi-structured and unstructured real time data originating from variety of sources. It has been
used in different construction fields like: optimisation of energy consumption, management of construction waste prediction and minimisation, facilities management and operations, and building asset management. Big data is captured from sensors built into buildings, bridges and any other construction that enable monitoring each one at many levels of performance.
Research Implications: This paper analyses the importance of integrating big data analytics and BIM systems for disaster resilience by involving the advantages of BIM implementation that will emphasize the disaster management process
Purpose and Originality: Research on disaster management mostly focuses on the possibility of using particular types of data for natural disaster management. Although this topic has been intensively examined and analysed by several researchers from different fields of science such as: architecture, engineering, and construction (AEC), further investigation on the integration of big data analytics with BIM systems for disaster resilient built environment is lacking.
Methodology: This paper reviews the current literature on big data analytics with BIM systems to identify gaps in research and aims to examine the application of big data in disaster resilience and management.
Findings: BIM is a process for creating and managing information of construction projects across the project lifecycle. It offers building teams the opportunity to save time and money by reducing friction within a project. Furthermore, BIM models provide several important benefits for the facility management industry as: increased productivity, efficiency transformation, and improved liveable environment. Big data includes a mixture of structured, semi-structured and unstructured real time data originating from variety of sources. It has been
used in different construction fields like: optimisation of energy consumption, management of construction waste prediction and minimisation, facilities management and operations, and building asset management. Big data is captured from sensors built into buildings, bridges and any other construction that enable monitoring each one at many levels of performance.
Research Implications: This paper analyses the importance of integrating big data analytics and BIM systems for disaster resilience by involving the advantages of BIM implementation that will emphasize the disaster management process
| Original language | English |
|---|---|
| Pages | 64 |
| Number of pages | 6 |
| Publication status | Published (in print/issue) - 2019 |
| Event | ARCOM Doctoral Workshop- Industry 4.0 and Disaster Resilience in the Built Environment - Northunbria University, Newcastle upon Tyne, United Kingdom Duration: 25 Apr 2019 → 25 Apr 2019 |
Conference
| Conference | ARCOM Doctoral Workshop- Industry 4.0 and Disaster Resilience in the Built Environment |
|---|---|
| Country/Territory | United Kingdom |
| City | Newcastle upon Tyne |
| Period | 25/04/19 → 25/04/19 |
Keywords
- Big Data
- Big Data Analytics
- BIM
- Disaster Resilience
- Disaster Resilient Built Environment.
