Multirotor drones are considered a new and innovative technology. Therefore, many fields are showing increasing interest in utilizing multirotor drones, such as mapping in mining and surveillance in transportation. The construction industry has been a slow adopter of novel technologies. However, multirotor drones have potential to facilitate construction in many aspects. There is, therefore, a need to extensively research their applications and analyze their roles in construction engineering and management. This paper aims to comprehensively investigate the current applications of multirotor drones, analyze their benefits and explore their potential in the future of the construction industry. Several main aspects are reviewed and discussed, namely land surveying, logistics, on-site construction, maintenance and demolition. The results reveal that the main contributions are work safety, cost-effectiveness and carbon emission reduction, while there are possible adverse impacts on the basis of current limitations of multirotor drones. However, it can be predicted that the usefulness of drones will continue to increase in the future of the construction industry. Thus, this study will benefit construction managers in raising awareness of the use of these emerging technologies and researchers in further exploring applications of multirotor drones in construction projects.

Building Information Modelling (BIM) is one of the most significant technological advances in the building design and construction industry to date. Implementation of BIM has increased significantly over the past decade; and it enables the different stakeholders of a construction project to collaborate better throughout its lifecycle, and improves the opportunities to share data and decrease consumption. However, the implementation of BIM lags far behind its potential due to the existence of various barriers. This paper aims at identifying, classifying, and prioritising these barriers to BIM implementation through a survey. The research findings are expected to assist major stakeholders in the construction industry to promote BIM implementation.

The hypothetical extraction method (HEM) is used to extract a sector hypothetically from an economic system and examine the influence of this extraction on other sectors in the economy. Linkage measures based on the HEM become increasingly prominent. However, little construction linkage research applies the HEM. Using the recently published Organisation for Economic Co‐operation and Development input‐output database at constant prices, this research applies the HEM to the construction sector in order to explore the role of this sector in national economies and the quantitative interdependence between the construction sector and the remaining sectors. The output differences before and after the hypothetical extraction reflect the linkages of the construction sector. Empirical results show a declining trend of the total, backward and forward linkages, which confirms the decreasing role of the construction sector with economic maturity over the examined period from a new angle. Analytical results reveal that the unique nature of the construction sector and multifold external factors are the main reasons for the linkage difference between countries. Moreover, hypothesis‐testing results consider statistically that the extraction structures employed in this research are appropriate to analyse the linkages of the construction sector.

The ripple effect of house prices within metropolitan areas has recently been recognised by researchers. However, it is very difficult to formulate and measure this effect using conventional house price theories particularly in consideration of the spatial locations of cities. Based on econometrics principles of the cointegration test and the error correction model, this research develops an innovative approach to quantitatively examine the diffusion patterns of house prices in mega‐cities of a country. Taking Australia's eight capital cities as an example, the proposed approach is validated in terms of an empirical study. The results show that a 1–1–2–4 diffusion pattern exists within these cities. Sydney is on the top tier with Melbourne in the second; Perth and Adelaide are in the third level and the other four cities lie on the bottom. This research may be applied to predict the regional housing market behavior in a country. Būsto kainų pasiskirstymo struktūra Australijos valstijų sostinėse Santrauka Neseniai mokslininkai nustatė, kad didmiesčiuose būsto kainos veikia vienos kitas (angl. ripple effect). Tačiau ši poveiki itin sunku suformuluoti ir išmatuoti pasitelkus įprastas būsto kainų teorijas, ypač įvertinant teritorini miestu išsidėstymą. Remiantis ekonometrijos principais, tokiais kaip kointegracijos analize ir klaidu taisymo modelis, šiame tyrime sukurtas novatoriškas būdas, kaip kiekybiškai tyrinėti būsto kainų pasiskirstymo struktūras šalies didmiesčiuose. Kaip pavyzdį pasirinkus aštuonias Australijos valstijų sostines, siūlomas būdas patvirtinamas empiriniu tyrimu. Rezultatai rodo, kad šiu miestu pasiskirstymo struktūra yra 1–1–2–4. Sidnėjus užima aukščiausia pakopa, o Melburnas yra antrasis. Pertui ir Adelaidei tenka trečioji pakopa, o kiti keturi miestai yra žemiausiai. Šiuo tyrimu galima remtis prognozuojant regionines būsto rinkos elgsena kitose šalyse.