Impediments to Construction Site Digitalisation Using Unmanned Aerial Vehicles (UAVs)

Adetayo Olugbenga Onososen, Innocent Musonda, Damilola Onatayo, Motheo Meta Tjebane, Abdullahi Babatunde Saka, Rasaki Kolawole Fagbenro

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Utilising emerging innovative technologies and systems to improve construction processes in an effort towards digitalisation has been earmarked as critical to delivering resilience and responsive infrastructure. However, successful implementation is hindered by several challenges. Hence, this study evaluates the challenges facing the adoption of unmanned aerial vehicles towards the digitalisation of the built environment. The study adopted a quantitative survey of built environment stakeholders in developed and developing economies. A total of 161 completely filled forms were received after the survey, and the data were analysed using descriptive analysis and inferential statistics. The study’s findings show that there are different barriers experienced between developed and developing countries in the adoption of drones towards digitalising construction processes in the built environment. Moreover, economic/cost-related factors were identified as the most critical barriers to the adoption of drones, followed by technical/regulatory factors and education/organisation-related factors. The findings can assist the built environment in reducing the impact of these barriers and could serve as a policy instrument and helpful guidelines for governmental organisations, stakeholders, and others.

Original languageEnglish
Article number45
JournalDrones
Volume7
Issue number1
DOIs
Publication statusPublished - Jan 2023

Keywords

  • AEC
  • built environment
  • challenges
  • construction
  • digital transformation
  • digitalisation
  • drones
  • impediments
  • unmanned aerial vehicles (UAVs)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Aerospace Engineering
  • Computer Science Applications
  • Artificial Intelligence

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