Special Issue of Advanced Engineering Informatics: Big Data Analytics in Construction Management
摘要截稿:
全文截稿: 2019-03-01
影响因子: 3.879
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 工程技术 - 2区
• 小类 : 计算机:人工智能 - 2区
• 小类 : 工程:综合 - 1区
Overview
As recent construction projects become complex and require knowledge-intensive tasks, capturing and analysing ‘big data’ is essential in the construction management domain to discover new knowledge and make better engineering decision-makings. Big data analytics using advanced computing methods can fulfill the needs by facilitating the generation of new knowledge and insights into the designs and processes of construction management. Because of its significance, there have been growing research efforts in advancing the current construction management systems based on big data analytics. This special issue strives to highlight current development and applications of big data analytics in construction management.
This special issue welcomes high quality papers that present 1) data-intensive analysis solutions for discovering knowledge and information from construction big data; and/or 2) computational tools for visualising and representing the captured knowledge in an intuitive and easy to understand manner, which can be useful for formulating decisions and converting data into actionable knowledge. It is expected that this special issue would be a critical milestone that presents future directions of big data analytics in the construction management domain. At the same time, it also will provide industry with some useful insights and approaches to develop practical solutions.
The topics of the special issue include, but are not limited to the followings:
- Big data for building/civil infrastructure design management
- Big data for construction safety management
- Big data for construction progress and quality management
- Big data for facility maintenance and management
- Big data with Internet of Things (IOT) for construction management
- Big data hardware/software solutions for construction management
- Machine learning and data mining applications for construction management
- Trends and strategies in big data analytics for construction management
- Real-world applications of big data analytics for the architecture, engineering and construction (AEC) industry