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Article
Publication date: 29 December 2021

Don Amila Sajeevan Samarasinghe and Imelda Saran Piri

The purpose of this paper is to evaluate the impact of visual models on the ability of construction students to assess design buildability.

Abstract

Purpose

The purpose of this paper is to evaluate the impact of visual models on the ability of construction students to assess design buildability.

Design/methodology/approach

The study engaged 45 construction students from one selected tertiary education institute in New Zealand. The data collection process involved meeting the students face-to-face and demonstrating the VR model to them, after which the students completed an online questionnaire and assessed design buildability using both 2D drawing and virtual reality (VR) models. To make this assessment, the participants considered a residential earth building modelled to promote sustainable building features. The assessment process required the participants to evaluate the design buildability of the same building design using a 2D drawing and a 3D VR model.

Findings

The study found that VR models have significant advantages for assessing design buildability. Students measured 16.80% higher average buildability with the 3D VR model compared to the 2D drawing. The participants in the evaluation felt that the visual model significantly improved the comprehensibility of complex designs, which helped identify and manage design buildability (overall, 83% of participants strongly supported this).

Originality/value

The paper showed construction digitisation such as VR, augmented reality and building information modelling is highly cooperative as it can easily be made available for online learning. Thus, the findings support construction educators use online-based VR learning to promote efficient teaching of design buildability to students.

Details

Built Environment Project and Asset Management, vol. 12 no. 5
Type: Research Article
ISSN: 2044-124X

Keywords

Article
Publication date: 22 January 2025

Wajhat Ali, Don Amila Sajeevan Samarasinghe, Zhenan Feng, Suzanne Wilkinson and James Olabode Bamidele Rotimi

This study identifies key challenges to adopting smart real estate (SRE) technologies and offers insights and recommendations to enhance decision-making for stakeholders…

Abstract

Purpose

This study identifies key challenges to adopting smart real estate (SRE) technologies and offers insights and recommendations to enhance decision-making for stakeholders, including buyers and property investors.

Design/methodology/approach

To achieve the aim of the study, a rigorous research approach was employed, conducting an in-depth analysis of 41 academic papers utilising PRISMA guidelines and checklists. The chosen methodology also applies a PEST (Political, Economic, Social and Technological) framework to identify factors influencing technology adoption in the real estate sector.

Findings

The study uncovers critical challenges to adopting smart real estate technologies, such as regulatory ambiguity, high implementation costs, and societal resistance. PEST analysis reveals that unclear standards and guidelines, coupled with the high financial burden of technology implementation, are significant obstacles. Socially, resistance to change and difficulties in integrating new technologies are prevalent. The study also underscores the potential of artificial intelligence (AI) for predictive analytics and blockchain for secure transactions and records, though their adoption is currently hindered by inadequate infrastructure and regulatory challenges. These findings underscore the need for strategic interventions to address these challenges and facilitate the effective integration of advanced technologies in the real estate sector, thereby enhancing industry innovation and competitiveness.

Practical implications

The study offers insights for real estate stakeholders to embrace technology effectively, with a conceptual framework contributing to industry advancements.

Originality/value

The study’s key contribution is offering real estate stakeholders execution tactics and recommendations to navigate challenges and utilise technology, thereby driving industry innovation and enhancing competitiveness.

Details

Smart and Sustainable Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6099

Keywords

Article
Publication date: 1 November 2022

Zechen Guan, Tak Wing Yiu, Don Amila Sajeevan Samarasinghe and Ravi Reddy

The aim of this paper is to review and analyze the research literature on the health and safety issues of migrant workers in the construction industry from 2000 to 2022.

Abstract

Purpose

The aim of this paper is to review and analyze the research literature on the health and safety issues of migrant workers in the construction industry from 2000 to 2022.

Design/methodology/approach

5 steps method is used to conduct a systematic review to achieve the objectives. After scanning two authoritative search engines “Web of Science” and “Scope”, 60 articles are selected from 225 publications for identification and review. These identified articles are classified by research fields, countries and time span.

Findings

The review finds that with the increasing influence of migrant construction workers, the number of publications on the health and safety of migrant workers has shown a rapid upward trend. Moreover, language barriers are the most dominant safety risk factors encountered by on-site migrant workers. This systematic literature review also summarizes the definition of migrant workers and solutions to reduce safety risk factors.

Originality/value

The research data on the health and safety issues and risk factors of migrant workers in the construction industry is still limited. This literature review summarizes the research trends and contributions of the literature in this field in the past 22 years and provides theoretical support for future research on the safety management of the migration construction field.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 3
Type: Research Article
ISSN: 0969-9988

Keywords

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