Facilities: Volume 35 Issue 13/14

Building Information Modelling and vertical farming: Data integration to manage facilities and processes

Rana Raheel Afzal Khan, Vian Ahmed

The UN statistics show that the world’s population is expected to be nine billion by the 2050. As a result, the food production must also be raised to 70 per cent or more…

The future of Big Data in facilities management: opportunities and challenges

Vian Ahmed, Algan Tezel, Zeeshan Aziz, Magda Sibley

This paper aims to explore the current condition of the Big Data concept with its related barriers, drivers, opportunities and perceptions in the architecture, engineering and…

Using big data to improve the performance management: a case study from the UAE FM industry

Mahmoud Mawed, Assem Al-Hajj

This paper aims to explore how big data analytics (BDA) collected and stored through specific data software [Construction Operations Building Information Exchange [COBie]…

An intelligent hot-desking model harnessing the power of occupancy sensing data

Peter Benjamin Cooper, Konstantinos Maraslis, Theo Tryfonas, George Oikonomou

The purpose of this paper is to develop a model to harness occupancy sensing in a commercial hot-desking environment. Hot-desking is a method of office resource management…

Spoken dialogue BIM systems – an application of big data in construction

Ibrahim Motawa

With the rapid development in the internet technologies, the applications of big data in construction have seen considerable attention. Currently, there are many input/output…

Analysis of basic building performance data for identification of performance issues

Tristan Gerrish, Kirti Ruikar, Malcolm Cook, Mark Johnson, Mark Phillip

The aim of this paper is to demonstrate the use of historical building performance data to identify potential issues with the build quality and operation of a building, as a means…

Leveraging BIM and Big Data to deliver well maintained highways

Zeeshan Aziz, Zainab Riaz, Muhammad Arslan

Effective management of highways requires management of diverse data sets including traffic volume data, roadway, and road edge and road-side data. Like all major infrastructure…