Functional Applications of Unmanned Aerial Vehicle Technology in Urban Planning Practice: A PRISMA systematic Review

Mdaopa, Bernard Eric and Gumbo, Trynos and Moyo, Thembani and Musonda, Innocent (2023) Functional Applications of Unmanned Aerial Vehicle Technology in Urban Planning Practice: A PRISMA systematic Review. LET IT GROW, LET US PLAN, LET IT GROW. Nature-based Solutions for Sustainable Resilient Smart Green and Blue Cities. Proceedings of REAL CORP 2023, 28th International Conference on Urban Development, Regional Planning and Information Society. pp. 305-314. ISSN 2521-3938

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Abstract

Covid-19 pandemic has arguablely created an opportunity for urban planners to create cities that are more resilient and sustainable. This systematic review was aimed at analysing the potential of Unmanned Aerial Vehicle (UAV) technology as a tool for post-covid-19 urban planning and design. Specifically, the study reviewed the functional application areas that have leveraged the existence of UAV technology since its inclusion in non-military sectors in 2006. PRISMA method was used to retrieve journal articles that were published between 2006 and 2022 from scopus database and a total of 48 journal articles were included in the study. The results of the literature analysis revealed that there is a growing application of UAV technology in urban disaster managemnert, smartcities development initiatives, urban landscape management and urban road transportation management. The study also revealed that there is already a research increase on UAV integration in urban planning from 2019 which signifies the contribution of the pandemic towards UAV adoption. It has also been established that there is an increasing application of Machine Leaning (ML) and Computer Vision (CV) models for UAV data analysis. The study concludes that UAV technology has a lot of potential for improving urban planning processes with regard to time, cost, and safety and hence can be regarded as one of the sustainable tools in post-covid-19 urban planning efforts. Therefore, there is need for robust research to explore its potential in other application areas such as municipal waste management, urban developement control, and urban drainage systems among others. The study also recommends that basic courses on Artificial Intelligence (AI) be introduced in urban planning education to equip urban planners on the emerging AI applications.

Item Type: Article
Uncontrolled Keywords: Unnamed Aerial Vehicles, Urban Planning, Artificial Intelligence, Machine Learning, Computer Vision
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HD Industries. Land use. Labor
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Depositing User: REAL CORP Administrator
Date Deposited: 04 Oct 2023 10:47
Last Modified: 04 Oct 2023 17:28
URI: http://repository.corp.at/id/eprint/1058

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