Effectiveness evaluation of Construction 4.0 technologies in improving built environment resilience

Shafei, H; Rahman, R A and Lee, Y S (2024) Effectiveness evaluation of Construction 4.0 technologies in improving built environment resilience. International Journal of Disaster Resilience in the Built Environment, 15(4), pp. 530-550. ISSN 1759-5916

Abstract

Purpose: Built environments are highly vulnerable to climatic disasters such as extreme floods, droughts and storms. Inaccurate decisions in adopting emerging construction technologies can result in missed opportunities to improve the resilience of built environments. Therefore, understanding the effectiveness of emerging construction technologies in improving built environment resilience can help in making better strategic decisions at the national and organizational levels. This study aims to evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience. Design/methodology/approach: A list of Construction 4.0 technologies was adopted from a national strategic plan. Then, the data were collected using the fuzzy technique for order preference by similarity to ideal solution technique from selected built environment experts to determine the relative effectiveness of Construction 4.0 technologies in improving built environment resilience. Findings: Six Construction 4.0 technologies are critical in improving built environment resilience (in rank order): building information modeling, autonomous construction, advanced building materials, big data and predictive analytics, internet of Things and prefabrication and modular construction. In addition, adopting Construction 4.0 technologies collectively is crucial, as moderate to strong connections exist among the technologies in improving built environment resilience. Originality/value: To the best of the authors' knowledge, this is one of the first papers that evaluate the effectiveness of Construction 4.0 technologies in improving built environment resilience. Industry professionals, researchers and policymakers can use the study findings to make well-informed decisions on selecting Construction 4.0 technologies that improve built environment resilience to climatic disasters.

Item Type: Article
Uncontrolled Keywords: climate change; climatic disasters; decision-making; fuzzy TOPSIS
Index terms: preference, climate change, decision-making, methodology, modular construction, big data, drought, prefabrication, internet, construction technology, built environment, building material, effectiveness, fuzzy topsis, construction 4.0, building information modelling
Subjects: decision analysis, building construction, information systems, environmental hazards, infrastructure and transport systems, decision-making and optimization, performance management, decision-making and reasoning, research methods, building materials, digital engineering, computing systems, climate science
Topics: Research Practice, Risk Management, Sustainability, Construction Technology, Urban Studies, Digital Applications, Design Practice, Quality Management
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here