Is the Australian construction industry prepared for climate change?

Hurlimann, Anna; Warren‐Myers, Georgia; Browne, Geoffrey R.

doi:10.1016/j.buildenv.2019.02.008

Cited by 40 publications

(40 citation statements)

References 30 publications

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“…This is reflected in Hurlimann et al 's (2019) study of the Australian construction sector, which also found a blame game, primarily of the client (usually property investors/firms and developers) and the role of government.…”

Section: Resultsmentioning

confidence: 99%

Barriers to climate change adaption in the Australian property industry

Warren‐Myers

Hurlimann

Bush

2020

JPIF

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PurposeTo identify barriers to climate change adaptation in the Australian property industry.Design/methodology/approachSemi-structured interviews with twenty-four stakeholders from a diverse cross-section of the Australian property industry were undertaken in 2018 and 2019.FindingsA range of barriers to action on climate change were identified. These barriers centre around (1) information: lack of clear, reliable, and trusted sources of climate change information; (2) cost: competing economic demands, and the perceived threat that investing in climate change action poses to competitiveness; and (3) regulation: the inaction of governments thus failing to provide a regulatory environment to address climate change.Research limitations/implicationsThe qualitative research provides perspectives from actors in different sectors of the Australian property industry. While it provides an in-depth understanding of the barriers to addressing climate change adaptation, it is not necessarily a nationally representative sample.Practical implicationsThe study identifies barriers to climate change adaptation, and establishes practical ways in which the Australian property industry can address these barriers and the role that government regulation could have in generating industry-wide change.Social implicationsClimate change poses significant challenges to society. Built environments are significant contributors to climate change, and thus the property industry is well-placed to make positive contributions to this global challenge.Originality/valueLimited research has examined barriers to climate change action in the property industry. This research provides novel insights from the perspective of key actors across a diverse range of property industry sectors. This new knowledge fills an important gap in understanding how to address climate change in Australia and broader contexts.

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Section: Resultsmentioning

confidence: 99%

Barriers to climate change adaption in the Australian property industry

Warren‐Myers

Hurlimann

Bush

2020

JPIF

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“…The design of the semi structured interviews utilised Moser and Leurs' (Moser and Luers 2008) climate change risk preparedness framework, which has been applied in multiple contexts including the Australian construction industry (Hurlimann et al 2019). The framework was adapted to investigate the property industry's climate change awareness, analytical capacity and actions.…”

Section: Interview Designmentioning

confidence: 99%

“…Australian construction industry (Hurlimann et al, 2019). The framework was adapted to investigate the property industry's climate change awareness, analytical capacity and actions.…”

Section: Addressing Information Needsmentioning

confidence: 99%

Advancing capacity to adapt to climate change: addressing information needs in the Australian property industry

Warren‐Myers

Hurlimann

Bush

2020

JERER

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Purpose The purpose of this paper is to understand the sources of climate change information used and trusted by key stakeholders in the Australian property industry, their information needs and their capacity to translate that information into decision-making. Design/methodology/approach Qualitative research applying in-depth interviews with 24 key stakeholders from a diverse range of property/real estate companies in Australia. Findings This research identified a wide range of information types used by key stakeholders, ranging from reliance on unsophisticated mass media reporting to detailed analysis of scientific research. The capacity of stakeholders to translate this information for their organisation was polarised; 11 of the 24 interviewees indicated they had the capacity, while the other 13 indicated they did not, often owing to time horizons or lack of current interest within the organisation or from clients. Research limitations/implications This research was limited to 24 in-depth interviews and is not intended to be a representative sample. However, this limitation is offset by the fact that a diverse range of stakeholders were interviewed and an in-depth and rich understanding has been provided about their approach to climate change. Practical implications The results can inform the development of better communication channels for climate change for the property industry by supporting science-practice collaborations in the timely and effective dissemination of research. This is important to understand given the identified need to bridge the gap among research, policy and practice. Social implications Climate change poses significant challenges and risks for built environments. The property industry, as a key stakeholder, has great potential to influence current practices. The results reported here assist in addressing these challenges. Originality/value At present, limited research globally has been conducted about climate change actions in the property industry. This research responds to this gap.

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“…Although there are many research studies in the construction industry that have focused on assessing the industry’s preparedness and capacity to adapt to climate change risks (e.g. (Hurlimann et al , 2019)), there is relatively little research in using eco-friendly materials in the construction industry. The materials used in the construction sector such as cement release a considerable amount of CO 2 (Tekin et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation

Mirmozaffari

Shadkam

Khalili

et al. 2021

IJESM

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Purpose Cement as one of the major components of construction activities, releases a tremendous amount of carbon dioxide (CO2) into the atmosphere, resulting in adverse environmental impacts and high energy consumption. Increasing demand for CO2 consumption has urged construction companies and decision-makers to consider ecological efficiency affected by CO2 consumption. Therefore, this paper aims to develop a method capable of analyzing and assessing the eco-efficiency determining factor in Iran’s 22 local cement companies over 2015–2019. Design/methodology/approach This research uses two well-known artificial intelligence approaches, namely, optimization data envelopment analysis (DEA) and machine learning algorithms at the first and second steps, respectively, to fulfill the research aim. Meanwhile, to find the superior model, the CCR model, BBC model and additive DEA models to measure the efficiency of decision processes are used. A proportional decreasing or increasing of inputs/outputs is the main concern in measuring efficiency which neglect slacks, and hence, is a critical limitation of radial models. Thus, the additive model by considering desirable and undesirable outputs, as a well-known DEA non-proportional and non-radial model, is used to solve the problem. Additive models measure efficiency via slack variables. Considering both input-oriented and output-oriented is one of the main advantages of the additive model. Findings After applying the proposed model, the Malmquist productivity index is computed to evaluate the productivity of companies over 2015–2019. Although DEA is an appreciated method for evaluating, it fails to extract unknown information. Thus, machine learning algorithms play an important role in this step. Association rules are used to extract hidden rules and to introduce the three strongest rules. Finally, three data mining classification algorithms in three different tools have been applied to introduce the superior algorithm and tool. A new converting two-stage to single-stage model is proposed to obtain the eco-efficiency of the whole system. This model is proposed to fix the efficiency of a two-stage process and prevent the dependency on various weights. Converting undesirable outputs and desirable inputs to final desirable inputs in a single-stage model to minimize inputs, as well as turning desirable outputs to final desirable outputs in the single-stage model to maximize outputs to have a positive effect on the efficiency of the whole process. Originality/value The performance of the proposed approach provides us with a chance to recognize pattern recognition of the whole, combining DEA and data mining techniques during the selected period (five years from 2015 to 2019). Meanwhile, the cement industry is one of the foremost manufacturers of naturally harmful material using an undesirable by-product; specific stress is given to that pollution control investment or undesirable output while evaluating energy use efficiency. The significant concentration of the study is to respond to five preliminary questions.

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Is the Australian construction industry prepared for climate change?

Cited by 40 publications

References 30 publications

Barriers to climate change adaption in the Australian property industry

Barriers to climate change adaption in the Australian property industry

Advancing capacity to adapt to climate change: addressing information needs in the Australian property industry

A novel artificial intelligent approach: comparison of machine learning tools and algorithms based on optimization DEA Malmquist productivity index for eco-efficiency evaluation

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