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Featured researches published by Greg Chan.


Construction Management and Economics | 2011

Rethinking prefabricated construction management using the VP-based IKEA model in Hong Kong

Heng Li; Hongling Guo; Martin Skitmore; Ting Huang; K.Y.N. Chan; Greg Chan

Prefabricated construction is regarded by many as an effective and efficient approach to improving construction processes and productivity, ensuring construction quality and reducing time and cost in the construction industry. However, many problems occur with this approach in practice, including higher risk levels and cost or time overruns. In order to solve such problems, it is proposed that the IKEA model of the manufacturing industry and VP technology are introduced into a prefabricated construction process. The concept of the IKEA model is identified in detail and VP technology is briefly introduced. In conjunction with VP technology, the applications of the IKEA model are presented in detail, i.e. design optimization, production optimization and installation optimization. Furthermore, through a case study of a prefabricated hotel project in Hong Kong, it is shown that the VP‐based IKEA model can improve the efficiency and safety of prefabricated construction as well as reducing cost and time.


Journal of Computing in Civil Engineering | 2012

Multiuser virtual safety training system for tower crane dismantlement

Heng Li; Greg Chan; Martin Skitmore

AbstractTower crane dismantling is one of the most dangerous activities in the construction industry. Tower crane erection and dismantlement causes 10–12% of the fatalities of all crane accidents. The nature of the task is such that off-the-job training is not practicable, and the knowledge and expertise needed has to be gained on the job. However, virtual trainers such as Microsoft Flight Simulator for airplane pilots and mission rehearsal exercise (MRE) for army personnel have been developed and are known to provide a highly successful means of overcoming the risks involved in such on-the-job learning and clearly have potential in construction situations. This paper describes the newly developed multiuser virtual safety training system (MVSTS) aimed at providing a similar learning environment for those involved in tower crane dismantlement. The proposed training system is developed by modifying an existing game engine. Within the close-to-reality virtual environment, trainees can participate in a virtua...


Construction Management and Economics | 2013

Integrating real time positioning systems to improve blind lifting and loading crane operations

Heng Li; Greg Chan; Martin Skitmore

Mobile/tower cranes are the most essential forms of construction plant in use in the construction industry but are also the subject of several safety issues. Of these, blind lifting has been found to be one of the most hazardous of crane operations. To improve the situation, a real-time monitoring system that integrates the use of a Global Positioning System (GPS) and Radio Frequency Identification (RFID) is developed. This system aims to identify unauthorized work or entrance of personnel within a pre-defined risk zone by obtaining positioning data of both site workers and the crane. The system alerts to the presence of unauthorized workers within a risk zone-currently defined as 3m from the crane. When this happens, the system suspends the power of the crane and a warning signal is generated to the safety management team. In this way the system assists the safety management team to manage the safety of hundreds of workers simultaneously. An onsite trial with debriefing interviews is presented to illustrate and validate the system in use.


Construction Innovation: Information, Process, Management | 2009

Construction virtual prototyping: a survey of use

Ting Huang; Heng Li; Hongling Guo; Neo Chan; Stephen C.W. Kong; Greg Chan; Martin Skitmore

Purpose –The introduction of Building Information Model tools over the last 20 years is resulting in radical changes in the Architectural, Engineering and Construction industry. One of these changes concerns the use of Virtual Prototyping - an advanced technology integrating BIM with realistic graphical simulations. Construction Virtual Prototyping (CVP) has now been developed and implemented on ten real construction projects in Hong Kong in the past three years. This paper reports on a survey aimed at establishing the effects of adopting this new technology and obtaining recommendations for future development. Design/methodology/approach – A questionnaire survey was conducted in 2007 of 28 key participants involved in four major Hong Kong construction projects – these projects being chosen because the CVP approach was used in more than one stage in each project. In addition, several interviews were conducted with the project manager, planning manager and project engineer of an individual project. Findings –All the respondents and interviewees gave a positive response to the CVP approach, with the most useful software functions considered to be those relating to visualisation and communication. The CVP approach was thought to improve the collaboration efficiency of the main contractor and sub-contractors by approximately 30 percent, and with a concomitant 30 to 50 percent reduction in meeting time. The most important benefits of CPV in the construction planning stage are the improved accuracy of process planning and shorter planning times, while improved fieldwork instruction and reducing rework occur in the construction implementation stage. Although project teams are hesitant to attribute the use of CVP directly to any specific time savings, it was also acknowledged that the workload of project planners is decreased. Suggestions for further development of the approach include incorporation of automatic scheduling and advanced assembly study. Originality/value –Whilst the research, development and implementation of CVP is relatively new in the construction industry, it is clear from the applications and feedback to date that the approach provides considerable added value to the organisation and management of construction projects.


Engineering, Construction and Architectural Management | 2015

A 4D automatic simulation tool for construction resource planning: a case study

Heng Li; Greg Chan; Martin Skitmore; Ting Huang

Purpose Traditional construction planning relies upon the critical path method (CPM) and bar charts. Both of these methods suffer from visualization and timing issues that could be addressed by 4D technology specifically geared to meet the needs of the construction industry. This paper proposed a new construction planning approach based on simulation by using a game engine. Design/methodology/approach A 4D automatic simulation tool was developed and a case study was carried out. The proposed tool was used to simulate and optimize the plans for the installation of a temporary platform for piling in a civil construction project in Hong Kong. The tool simulated the result of the construction process with three variables: 1) equipment, 2) site layout and 3) schedule. Through this, the construction team was able to repeatedly simulate a range of options. Findings The results indicate that the proposed approach can provide a user-friendly 4D simulation platform for the construction industry. The simulation can also identify the solution being sought by the construction team. The paper also identifies directions for further development of the 4D technology as an aid in construction planning and decision-making. Research limitations/implications The tests on the tool are limited to a single case study and further research is needed to test the use of game engines for construction planning in different construction projects to verify its effectiveness. Future research could also explore the use of alternative game engines and compare their performance and results. Originality/value The authors proposed the use of game engine to simulate the construction process based on resources, working space and construction schedule. The developed tool can be used by end-users without simulation experience.


31st International Symposium on Automation and Robotics in Construction | 2014

An Integrated 5D Tool for Quantification of Construction Process Emissions and Accident Identification

Johnny Wong; Heng Li; Greg Chan; Haoran Wang; Ting Huang; Eric Luo

The environmental and safety performance of construction sites are increasingly regarded as critical factors that need to be monitored for the successful completion of construction projects. Research has also repeatedly highlighted the need to minimise the carbon footprint of the construction process and enhance the capacity of the project team and on-site workers in detecting and avoiding potential construction site hazards. However, a multi-dimensional visualisation technology that would allow project teams to simulate potential carbon emissions from construction plant and equipment and to detect potentially ‘dangerous’ locations on a construction site is currently lacking. This paper illustrates an integrated 5D model that uses virtual prototyping technologies to quantify carbon emissions, simulate the pattern of emissions from the overall construction process and identify potential ‘black spots’ of site hazards at the planning stage. The proposed 5D BIM based pro-active construction management system (PCMS) can help to detect potential sources of danger to on-site workers and provides pro-active warnings to prevent fatal accidents caused by falling or being struck by moving objects. A public housing project developed by the Hong Kong Housing Authority is used as a case study to demonstrate the integration of the emission prediction visualisation and accident detection tool into the BIM. The proposed tool demonstrates the utilisation of BIM technology to promote pro-active carbon mitigation and safety performance strategies.


International Journal of Advanced Robotic Systems | 2014

Virtual Prototyping for Construction Site Co2 Emissions and Hazard Detection

Johnny Wong; Heng Li; Greg Chan; Haoran Wang; Ting Huang; Eric Luo; Vera Li

The need for an efficient means of managing emissions and identifying potential hazard black spots in construction processes effectively and at the lowest cost possible has been highlighted in the construction sector. This study illustrates an integrated 5D model developed for quantifying carbon emissions and simulating the pattern of emissions of construction processes as a whole using virtual prototyping technologies. The predicted construction emissions data for each activity is generated and plotted to visually demonstrate the emission rates alongside the integrated four-dimensional VP framework of the construction project. The model also consists of a pro-active construction management system (PCMS), which assist the project team to detect sources of danger to on-site workers and provide pro-active warnings to them so as to avoid fatal accidents that are often caused by falling from heights and being struck by moving objects. A Hong Kong high-rise housing development project is used to exhibit the application of the carbon emission visualisation and potential accident detection system. This tool aims to encourage construction industry practitioners to become more environmentally conscious and pro-active in carbon mitigation and safety performance.


Automation in Construction | 2012

Visualizing safety assessment by integrating the use of game technology

Heng Li; Greg Chan; Martin Skitmore


Automation in Construction | 2015

Proactive training system for safe and efficient precast installation

Heng Li; Miaojia Lu; Greg Chan; Martin Skitmore


Journal of Information Technology in Construction | 2014

A review of cloud-based BIM technology in the construction sector

Johnny Wong; Xianyin Wang; Heng Li; Greg Chan; Haijiang Li

Collaboration


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Heng Li

Hong Kong Polytechnic University

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Martin Skitmore

Queensland University of Technology

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Ting Huang

Hong Kong Polytechnic University

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Johnny Wong

Hong Kong Polytechnic University

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Eric Luo

Hong Kong Polytechnic University

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Haoran Wang

Hong Kong Polytechnic University

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Jack Chung

Hong Kong Polytechnic University

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K.Y.N. Chan

Hong Kong Polytechnic University

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Miaojia Lu

Hong Kong Polytechnic University

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