An integrated approach for the management of demolition waste in Cyprus

Kourmpanis, Basilis; Papadopoulos, A.; Μουστάκας, Κωνσταντίνος; Kourmoussis, Fotis; Stylianou, Marinos; Loizidou, Maria

doi:10.1177/0734242x08091554

Cited by 49 publications

(32 citation statements)

References 11 publications

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“…Hong Kong is running out of landfill space far earlier than expected, and the existing landfills will be exhausted one by one by 2020 if waste levels continue to increase at current levels [5]. To pursue construction waste reduction, reuse and recycling (3Rs) researchers in CWM raised measures, such as on-site sorting [6,7], prefabrication [8][9][10], and selective demolition [11,12]. Innovations are therefore urgently needed to effectively implement the agenda in CWM on the basis of the traditional strategies.…”

Section: Introductionmentioning

confidence: 99%

A Framework of Developing a Big Data Platform for Construction Waste Management: A Hong Kong Study

Chen

Liao

2016

Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate

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Big data has shown great potentials in improving management discretion in many areas. The applications of big data in areas such as finance, computer science, health care and medical science have made continued success. Despite of big data's potentials, its applications in construction waste management (CWM) are still in infant stage. In order to embrace these prospects, this research proposes a platform to apply big data technologies in CWM, by focusing on the CWM status of Hong Kong. This study first presents a framework of the big data platform by describing the data collection, storage and analysis involved in the roadmap of CWM in Hong Kong. The existing unintentionally generated big dataset in CWM in Hong Kong is used to examine the availability of the proposed platform. It was found that this platform could make government, industry and other CWM stakeholders benefit from proper cooperation. Though this study focused on the CWM of Hong Kong, it may act as a driving force to stimulate the adoption of big data in CWM across countries where construction waste is growing as an urgent issue that concerns government, industry, academia, and all the stakeholders.

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Section: Introductionmentioning

confidence: 99%

A Framework of Developing a Big Data Platform for Construction Waste Management: A Hong Kong Study

Chen

Liao

2016

Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate

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“…Liu et al (2003) focused on deconstruction project costs of different strategies. Kourmpanis et al (2008a) applied the multi-criteria decision analysis method PROMETHEE II to provide decision support regarding a specific combination of one overall deconstruction project strategy and one overall deconstruction material management option, due to different strategic and qualitative economic, environmental, technical and social criteria.…”

Section: Strategic Planning Methodsmentioning

confidence: 99%

Review of project planning methods for deconstruction projects of buildings

Hübner

Volk

Kuhlen

et al. 2017

BEPAM

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PurposeThe paper aims to provide a comprehensive overview of literature and methods that can be used for deconstruction project planning of buildings. Furthermore, shortcomings of the identified planning methods are presented and research gaps are identified. Design/methodology/approachRequirements to consider for the planning of deconstruction projects are defined, to help in the classification of planning methods. With the help of these requirements, in a detailed literature review strategic and operational planning methods for deconstruction projects are investigated and discussed.Requirements which are not met by any of the identified planning methods can be interpreted as research and/or documentation gaps. FindingsOn the one hand, the literature review shows that recent approaches deal with planning methods for deterministic time and resource scheduling. Furthermore, project costs can be well planned by several methods. On the other hand, the literature review reveals that recent approaches mostly do not consider risks and uncertainties, environmental hazards or specific safety issues. A major shortcoming is that applied planning methods can only calculate up to a specific level of detail, e.g. with a limited number of activities, due to a very high computational effort in solving such project planning problems exactly. Originality/valueTo the authors' knowledge, this is the first study that provides an overview of literature and methods for the deconstruction project planning of buildings and it is also the first study that unveils research gaps for future research. Furthermore, the classified planning methods assist in identifying suitable methods for the planning of future deconstruction projects.3

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“…The focus is on economic issues and impacts on the local environment in terms of noise, dust and vibrations are not considered here. Singly on strategic level environmental impacts are occasionally considered in the context of decision making (Kourmpanis et al 2008a, Kourmpanis et al 2008b, Chen und Li 2006, Anumba et al 2003. With the help of methods of multi-criteria decision analysis (MCDA) decisions on the overall deconstruction project are made considering different-scaled, qualitative and quantitative economic and environmental aspects.…”

Section: Recent Research Approaches Of Deconstruction Project Planningmentioning

confidence: 99%

Deconstruction Project Planning Considering Local Environmental Impacts

Kuhlen

Volk

Schultmann

2014

Proceedings of the 2014 (5th) International Conference on Engineering, Project, and Production Management

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At present deconstruction project planning and related research focus mainly on economic issues including costs for equipment, workers and material disposal. Nevertheless, deconstruction of buildings can have major impacts on the local environment in terms of noise, dust and vibrations. Usually these environmental concerns are not included in deconstruction planning. But they can be harmful for humans, animals and the surrounding built environment. Analyses of different deconstruction techniques show major differences in noise, dust and vibrations. To use this potential to mitigate local environmental impacts, principals and deconstruction managers have to perform environmental conscious detailed deconstruction planning. In support of balancing these environmental issues with economic and technical aspects, a multi-criteria decision approach can help in the planning phase. In this paper a combination of the multi-criteria decision analysis methods Analytic Hierarchy Process (AHP) and Multi-Attribute Value Theory (MAVT) is embedded in a system for the planning of deconstruction projects based on deconstruction techniques applied to single building components. The structure of this system is described in detail, encompassing the procedure of modelling the overall planning and decision making process as well as the application of the decision making logic. Expert knowledge and experimental noise, dust and vibration measurements related to different deconstruction techniques form the system database. The system is exemplarily applied to deconstruction planning of a small one-level building. Finally, its possible future practical implementation is addressed.

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An integrated approach for the management of demolition waste in Cyprus

Cited by 49 publications

References 11 publications

A Framework of Developing a Big Data Platform for Construction Waste Management: A Hong Kong Study

A Framework of Developing a Big Data Platform for Construction Waste Management: A Hong Kong Study

Review of project planning methods for deconstruction projects of buildings

Deconstruction Project Planning Considering Local Environmental Impacts

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