Search results

The purpose of this paper shows the effect of hot and humid weather conditions (HHWCs) on workers that has resulted in considerable loss in the construction industry, especially during the hottest periods due to decline in worker productivity (WP). Until the last few decades, there is very limited research on construction WP in HHWCs. Nevertheless, these studies have sparked interests on seeking for the most appropriate methods to assess the impact of HHWCs on construction workers.

This paper begins by reviewing the current measuring methods on WP in HHWCs, follows by presenting the potential impact of HHWCs on WP. The paper highlights the methodological deficiencies, which consequently provides a platform for scholars and practitioners to direct future research to resolve the significant productivity loss due to global warming. This paper highlights the need to identify the limitations and advantages of the current methods to formulate a framework of new approaches to measure the WP in HHWCs.

Results show that the methods used in providing real-time response on the effects of HHWCs on WP in construction at project, task and crew levels are limited. An integration of nonintrusive real-time monitoring system and local weather measurement with real-time data synchronisation and analysis is required to produce suitable information to determine worker health- and safety-related decisions in HHWCs.

The comprehensive literature review makes an original contribution to WP measurements filed in HHWCs in the construction industry. Results of this review provide researchers and practitioners with an insight into challenges associated with the measurements methods and solving practical site measurements issues. The findings will also enable the researchers and practitioners to bridge the identified research gaps in this research field and enhance the ability to provide accurate measures in HHWCs. The proposed research framework may promote potential improvements in the productivity measurements methods, which support researchers and practitioners in developing new innovative methods in HHWCs with the integration of the most recent monitoring technologies.

Hot and humid climates (HHCs) are potential environmental hazards that directly affect construction workers' health and safety (HS) and negatively impact workers' productivity. Extensive research efforts have addressed the effects of HHCs. However, these efforts have been inconsistent in their approach for selecting factors influencing workers in such conditions. There are also increasing concerns about the drop-off in research interest to follow through intrusive and non-real-time measurements. This review aims to identify the major research gaps in measurements applied in previous research with careful attention paid to the factors that influence the intrusiveness and selection of the applied data collection methods.

This research integrates a manual subjective discussion with a thematic analysis of Leximancer software and an elaborating chronological, geographical and methodological review that yielded 701 articles and 76 peer-reviewed most related articles.

The literature included the physiological parameters as influencing factors and useful indicators for HHC effects and identified site activity intensity as the most influencing work-related factor. In total, three main gaps were identified: (1) the role of substantial individual and work-related factors; (2) managerial interventions and the application of the right time against the right symptoms, sample size and measurement intervals and (3) applied methods of data collection; particularly, the intrusiveness of the utilised sensors.

The focus of researchers and practitioners should be in applying nonintrusive, innovative and real-time methods that can provide crew-level measurements. In particular, methods that can represent the actual effects of allocated tasks are aligned with real-time weather measurements, so proactive HHC-related preventions can be enforced on time.

This review contributes to the field of construction workers' safety in HHCs and enables researchers and practitioners to identify the most influential individual and work-related factors in HHCs. This review also proposes a framework for future research with suggestions to cover the highlighted research gaps and contributes to a critical research area in the construction industry.

The noise and dust particles caused by the construction transport are by most stakeholders experienced as disturbing. The purpose of this study is to explore how sonification can support visualization in construction planning to decrease construction transport disturbances.

This paper presents an interdisciplinary research project, combining research on construction logistics, internet of things and sonification. First, a data recording device, including sound, particle, temperature and humidity sensors, was implemented and deployed in a development project. Second, the collected data were used in a sonification design, which was, third, evaluated with potential users.

The results showed that the low-cost sensors used could capture “good enough” data, and that the use of sonification for representing these data is interesting and a possible useful tool in urban and construction transport planning.

There is a need to further evolve the sonification design and better communicate the aim of the sounds used to potential users. Further testing is also needed.

This study introduces new ideas of how to support visualization with sonification planning the construction work and its impact on the vicinity of the site. Currently, urban planning and construction planning focus on visualizing the final result, with little focus on how to handle disturbances during the construction process.

Showing the potentials of using low-cost sensor data in sonification, and using sonification together with visualization, is the result of a novel interdisciplinary research area combination.

The purpose of this paper is to explain how proponents of biodiversity offsetting have sought to produce an ecologically defensible mechanism for reconciling economic development and biodiversity conservation.

The paper analyses a case study biodiversity offsetting mechanism in New South Wales, Australia. Michel Callon’s framing and overflowing metaphor is used to explain how accounting devices are brought into the mechanism, to (re)frame a space of calculability and address anxieties expressed by conservationists about calculations of net loss/gain of biodiversity.

The analysis shows that the offsetting mechanism embeds a form of accounting for biodiversity that runs counter to the prevailing dominant anthropocentric approach. Rather than accounting for the biodiversity of a site in terms of the economic benefits it provides to humans, the mechanism accounts for biodiversity in terms of its ecological value. This analysis, therefore, reveals a form of accounting for biodiversity that uses numbers to provide valuations of biodiversity, but these numbers are ecological numbers, not economic numbers. So this is a calculative, and also ecocentric, approach to accounting for, and valuing, biodiversity.

This paper contributes to the extant literature on accounting for biodiversity by revealing a novel conceptualisation of the reconciliation of economic development and biodiversity conservation, producing an ecologically defensible form of sustainable development. The paper also makes a methodological contribution by showing how Callon’s framing and overflowing metaphor can be used to enable the kind of interdisciplinary engagement needed for researchers to address sustainable development challenges.

A deeper understanding of what needs to be considered to improve the targeted incorporation of employees’ knowledge into continuous improvement (CI) programmes in industrialised housebuilding (IHB) is required. This paper aims to address the current lack of involvement and connect it to structural and corporate culture factors. To avoid misjudgements in improvement activities as well as to use the full potential of performance improvement ideas, CI tools and measures need to be adapted to facilitate this integration. Relevant factors are analysed and their influences on CI measures are assessed.

The research approach is built upon an explorative case study supported by a comprehensive literature review. Empirical data were collected through participant observation, guided interviews and company documents.

The influences on employee involvement within CI programmes and the corresponding suitability of important CI measures were evaluated on a set of relevant factors. These factors include unique building projects, project-based focus on order fulfilment, fragmented order fulfilment process, separation of order fulfilment activities in terms of space and time, procedural rules for dealing with on-site failures, short-term contracts with subcontractors and the practice of evaluating and monitoring performance on site.

The research paves the way for the development of suitable tools, measures and methods to effectively involve employees from all profession within a CI programme in IHB. The empirical part of this research is based on a single case study.

This work extends the body of knowledge of CI application in the construction industry with an analysis of factors influencing its implementation and management.

A comprehensive intervention test platform, Valla Coach, including quantitative and qualitative methods to measure and improve work flows on site and promote coaching and collective learning has been developed jointly by researchers and practitioner. The study aims to describe the methodological underpinning of the platform, and discusses the preliminary results and implications.

Expansive Learning Theory grounded in a cultural–historical perspective underpins the conceptual realisation of the test platform. The viability of the platform was tested in four contextually different construction sites (and contractors), combining established and new measurement tools, qualitative intervention approaches and coaching according to the production challenges at hand.

Valla Coach created a space on site where researchers-as-coaches and operatives converged to co-construct (new) knowledge and learn together. The knowledge that emerged from the interactions gained legitimacy through its situatedness and practical value for the operatives.

Valla Coach provides opportunities for researchers and practitioners to probe the taken-for-granted. Moreover, a variety of methods and tools are tested in different contexts. The interventions prompt questioning of assumptions and make contradictions visible. Valla Coach remains work-in-progress and needs further evaluation and validation.

We contribute insights from negotiating socio-technical complexities, evaluating digital measurement tools and technologies and experiences of operatives. Tensions at the interface between the organisation and project are rendered visible.

A bottom–up approach that is a combination of practice-based tools and methods and of theories of learning and sustainable and continuous improvements where the operators are the main actors that enable productive activity.

The purpose of this paper is to explore and investigate the measurement of a carbon footprint and environmental program in supply chain management.

The study uses a case study methodology and employs the qualitative methods of interviews and document analysis to collect data on Hyundai Motors Co. (HMC) and its key first‐tier supplier, referred to here as Supplier A, in the Korean automobile industry.

The results of the study show that a key strategic action to implement carbon management is to identify and measure the carbon footprint of products and processes within the supply chain. A carbon footprint measurement framework and different levels of CO₂ adoption categories developed at HMC are presented. By monitoring and evaluating suppliers' CO₂ emissions performance, a focal company may avoid carbon‐related risk and retain competitiveness based on its supply chain.

Developing a carbon footprint measurement and evaluation program in the supply chain provides a track record to improve carbon and energy efficiency. This may lead companies to develop and exploit greater energy efficiency to tackle carbon emission challenges in the supply chain.

This paper provides academics and managers with a new approach to consider carbon management and green supply chain management.

The purpose of this paper is to evaluate the indoor environmental quality among residential buildings in dense urban living environment, after the outbreak of Severe Acute Respiratory Syndrome (SARS), which called for a review on the relationship between health issues and the authors' built facilities.

Environmental tests include thermal comfort, noise, daylight and air quality inside the residence of typical housing units were carried out. Based on inferences drawn from test results, the paper developed systematic conclusions.

It was observed that most of the occupants (over 70 per cent of 125 households) were tolerating the higher air temperature and dimmer daylight inside their residence, which was proven to fall behind Hong Kong Standard. On the contrary, people reflected that they were also trying to abate noise and dust concentration in their daily life.

Owing to the flat occupants' exclusive property rights in law, there were limited access to the residents' flats and only 32 occupants out of 125 allowed us to conduct the survey. Yet, the data set was justified.

The results provides practical guidance for the design of future housing to enhance health and comfort of occupants.

Originality of the findings is based on on‐site data collected in dense urban housing condition. Rating data were also collected from the occupants concerned about their habituation conditions in Hong Kong after the outbreak of SARS, which was a major crisis that called for fundamental review of the authors' built facilities.

Construction activities conducted in urban areas are often a source of significant noise disturbances, which cause psychological and health issues for residents as well as long-term auditory impairments for construction workers. The limited effectiveness of passive noise control measures due to the close proximity of the construction site to surrounding neighborhoods often results in complaints and eventually lawsuits. These can then lead to delays and cost overruns for the construction projects.

The paper proposes a novel approach to integrating construction noise as an additional dimension into scheduling construction works. To achieve this, a building information model, including the three-dimensional construction site layout object geometry, resource allocation and schedule information, is utilized. The developed method explores further project data that are typically available, such as the assigned equipment to a task, its precise location, and the estimated duration of noisy tasks. This results in a noise prediction model by using noise mapping techniques and suggesting less noisy alternative ways of construction. Finally, noise data obtained from sensors in a case study contribute real values for validating the proposed approach, which can be used later to suggest solutions for noise mitigation.

The results of this study indicate that the proposed approach can accurately predict construction noise given a few available parameters from digital project planning and sensors installed on a construction site. Proactively integrating construction noise control measures into the planning process has benefits for both residents and construction managers, as it reduces construction noise-related disturbances, prevents unexpected legal issues and ensures the health and well-being of the workforce.

While previous research has concentrated on real-time data collection using sensors, a more effective solution would also involve addressing and mitigating construction noise during the pre-construction work planning phase.

The paper aims to analyze the application areas of augmented reality (AR) in the construction industry to enhance its usage level. The objectives are to assess the level of awareness of hardware and software devices of AR, examine the application areas of AR and reveal lagging areas in the construction industry.

A survey of construction professionals engaged in the built environment was sent a well-structured questionnaire in the study area. The professionals involved are project managers, architects, engineers, builders and quantity surveyors. The sampling technique used in selecting those professionals was convenience sampling. Descriptive and inferential statistics were used in analyzing the retrieved data.

The five most applied areas of Augmented Realities are Visualization and simulation of construction works; Project documentation; Project planning, monitoring and modification. The other two areas include on-site real-time information retrieval and health and safety measures. The findings also revealed the difference in the opinions of professionals among the variables. The results showed that there is significant difference in the opinions of the professionals regarding the application areas except one, that is automated measurement. Automated measurement has the same converging opinions of all professionals engaged in the study.

The study gives deep insight into possible areas where AR can be used in construction. The awareness level of hardware and software devices of AR was revealed by showing that those devices are upcoming in their usage. The areas of application of AR in construction are in their nascent stage. When there is proper implementation of this technology it will improve management in construction, minimize health and safety issues, and enhance the efficiency of workers through visualization and simulation.