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Title: Public acceptance of drone applications in a highly urbanized environment
Authors: Tan, Lynn Kai Lin
Lim, Beng Chong
Park, Guihyun Grace
Low, Kin Huat
Yeo, Victor Chuan Seng
Keywords: Business::General::Social aspects
Engineering::Mechanical engineering::Robots
Issue Date: 2021
Source: Tan, L. K. L., Lim, B. C., Park, G. G., Low, K. H. & Yeo, V. C. S. (2021). Public acceptance of drone applications in a highly urbanized environment. Technology in Society, 64, 101462-.
Journal: Technology in Society 
Abstract: Human societies are constantly affected by advancement in technologies. Could drone application be the next game changer? Building on extant literature, we conducted a study to examine public perceptions of drone application in a South East Asian city state. While there are a number of common findings with past research, we were able to extend our understanding of drone application in urban areas with the following findings. First, using two knowledge tests, we were able to confirm that the majority of the public seems to have a good understanding of what a drone is. Second, acceptance levels towards drones did significantly differ depending on the context of use. Industrial areas had the highest acceptance level, followed by recreational areas and business districts while residential areas had the lowest acceptance level. Finally, different factors may be responsible for the varying levels of acceptance across the different contexts. We provided preliminary evidence that two factors – fears and concerns, and perceived potential benefits – affected the public acceptance levels differently depending on the contexts of drone applications. We concluded with implications for future research and policy makers.
ISSN: 0160-791X
DOI: 10.1016/j.techsoc.2020.101462
Rights: © 2020 Elsevier Ltd. All rights reserved. This paper was published in Technology in Society and is made available with permission of Elsevier Ltd.
Fulltext Permission: embargo_20230228
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Journal Articles

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