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A platform for research: civil engineering, architecture and urbanism
Pandemic-driven acceptance of urban drone deliveries
https://orcid.org/0000-0002-9199-6661
https://orcid.org/0000-0002-7097-5562
https://orcid.org/0009-0001-6770-6150
https://orcid.org/0000-0001-9134-5327
Abstract The objective of this study is to investigate the factors affecting the adoption of urban drone delivery as an infection prevention measure from a health-centric perspective. To this end, a theoretical model is developed, using the protection motivation theory as the backbone, with constructs from fear appeal theory and perceived value theory incorporated into the model. Subsequently, an online survey was administered to 450 participants living in Singapore. The results were analysed using structural equation modelling, revealing that perceived severity positively and significantly influences fear of COVID-19. The results also show that perceived vulnerability and fear of COVID-19, response efficacy and self-efficacy of drone deliveries positively and significantly impact perceived utility, while response cost has a significant negative impact on perceived utility. Both fear and perceived utility have a direct, positive and significant influence on the adoption intention of drone deliveries, with the overall most significant factor being fear of COVID-19. With these findings, this study has contributed to the understanding drone delivery adoption during pandemics. In this regard, the insights may assist logistics companies and transport policymakers in understanding concerns and motivations regarding drone deliveries.
Highlights Drone delivery is viewed as an effective way of protecting health from COVID-19. This study focuses on the factors facilitating drone delivery acceptance. Fear and perceived utility are integrated into protection motivation theory (PMT). The perceived utility and fear are direct factors leading to acceptance. PMT factors affect acceptance via fear and perceived utility.
Pandemic-driven acceptance of urban drone deliveries
https://orcid.org/0000-0002-9199-6661
https://orcid.org/0000-0002-7097-5562
https://orcid.org/0009-0001-6770-6150
https://orcid.org/0000-0001-9134-5327
Abstract The objective of this study is to investigate the factors affecting the adoption of urban drone delivery as an infection prevention measure from a health-centric perspective. To this end, a theoretical model is developed, using the protection motivation theory as the backbone, with constructs from fear appeal theory and perceived value theory incorporated into the model. Subsequently, an online survey was administered to 450 participants living in Singapore. The results were analysed using structural equation modelling, revealing that perceived severity positively and significantly influences fear of COVID-19. The results also show that perceived vulnerability and fear of COVID-19, response efficacy and self-efficacy of drone deliveries positively and significantly impact perceived utility, while response cost has a significant negative impact on perceived utility. Both fear and perceived utility have a direct, positive and significant influence on the adoption intention of drone deliveries, with the overall most significant factor being fear of COVID-19. With these findings, this study has contributed to the understanding drone delivery adoption during pandemics. In this regard, the insights may assist logistics companies and transport policymakers in understanding concerns and motivations regarding drone deliveries.
Highlights Drone delivery is viewed as an effective way of protecting health from COVID-19. This study focuses on the factors facilitating drone delivery acceptance. Fear and perceived utility are integrated into protection motivation theory (PMT). The perceived utility and fear are direct factors leading to acceptance. PMT factors affect acceptance via fear and perceived utility.
Pandemic-driven acceptance of urban drone deliveries
https://orcid.org/0000-0002-9199-6661
https://orcid.org/0000-0002-7097-5562
https://orcid.org/0009-0001-6770-6150
https://orcid.org/0000-0001-9134-5327
Abstract The objective of this study is to investigate the factors affecting the adoption of urban drone delivery as an infection prevention measure from a health-centric perspective. To this end, a theoretical model is developed, using the protection motivation theory as the backbone, with constructs from fear appeal theory and perceived value theory incorporated into the model. Subsequently, an online survey was administered to 450 participants living in Singapore. The results were analysed using structural equation modelling, revealing that perceived severity positively and significantly influences fear of COVID-19. The results also show that perceived vulnerability and fear of COVID-19, response efficacy and self-efficacy of drone deliveries positively and significantly impact perceived utility, while response cost has a significant negative impact on perceived utility. Both fear and perceived utility have a direct, positive and significant influence on the adoption intention of drone deliveries, with the overall most significant factor being fear of COVID-19. With these findings, this study has contributed to the understanding drone delivery adoption during pandemics. In this regard, the insights may assist logistics companies and transport policymakers in understanding concerns and motivations regarding drone deliveries.
Highlights Drone delivery is viewed as an effective way of protecting health from COVID-19. This study focuses on the factors facilitating drone delivery acceptance. Fear and perceived utility are integrated into protection motivation theory (PMT). The perceived utility and fear are direct factors leading to acceptance. PMT factors affect acceptance via fear and perceived utility.
Pandemic-driven acceptance of urban drone deliveries
Yuen, Kum Fai (author) / Cai, Lanhui (author) / Wee, Shaun Chuin Kit (author) / Wang, Xueqin (author)
Transport Policy ; 146 ; 356-370
2023-12-11
15 pages
Article (Journal)
Electronic Resource
English
Leveraging Drone Technology for Last-Mile Deliveries in the e-Tailing Ecosystem
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Online Contents | 1999