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Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic

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  • Tamakloe, Reuben
  • Zhang, Kaihan
  • Atandzi, Jonathan
  • Park, Dongjoo

Abstract

The demand for urban delivery services (UDS) in low- and middle-income countries (LMICs) has been growing due to the spike in e-commerce activities. This phenomenon has led to the search for more innovative UDS modes, such as drones, as they provide fast, safer, and eco-friendly services. Although researchers have examined the perceptions regarding the adoption of drone delivery, there are many unknowns about the intentions to use this futuristic delivery mode. By employing survey data obtained through an online survey conducted in Ghana, this study aims to gain a deeper understanding of the current UDS user profiles and investigate their intentions to adopt drone deliveries in the future, considering the lived experiences of traditional UDS usage pre/post the COVID-19 pandemic. Regarding UDS user profiling, the study applied an advanced unsupervised machine learning method known as cluster correspondence analysis to simultaneously identify critical clusters in the data as well as key factor associations for each group. The findings demonstrated that most people in Ghana who seldom used the traditional UDS usually experienced poor service levels. Females living in the capital of Ghana who are frequent users of UDS mainly experienced acceptable service levels. Using an ordered probit regression model, the study identified that variables such as males, people who desired contactless UDS, and frequent UDS users at work or school during the COVID-19 pandemic were more inclined to embrace drone deliveries when introduced. Conversely, individuals who frequently used UDS services at home, those living in large cities, and those with lower income levels expressed reluctance toward drone delivery services. This study augments the urban logistics literature in LMICs by offering insightful suggestions in the areas of education, enhanced marketing strategies, and delivery optimization, which are instrumental for informing policy decisions. Government-related transportation bodies, private logistics firms, and trade unions can collaborate and adopt the recommendations provided to improve urban delivery services and to pave the way for integrating drone delivery services in the near future.

Suggested Citation

  • Tamakloe, Reuben & Zhang, Kaihan & Atandzi, Jonathan & Park, Dongjoo, 2024. "Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic," Transport Policy, Elsevier, vol. 146(C), pages 279-294.
  • Handle: RePEc:eee:trapol:v:146:y:2024:i:c:p:279-294
    DOI: 10.1016/j.tranpol.2023.12.004
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    References listed on IDEAS

    as
    1. Dablanc, Laetitia & Heitz, Adeline & Buldeo Rai, Heleen & Diziain, Diana, 2022. "Response to COVID-19 lockdowns from urban freight stakeholders: An analysis from three surveys in 2020 in France, and policy implications," Transport Policy, Elsevier, vol. 122(C), pages 85-94.
    2. Park, Hyeongjun & Park, Dongjoo & Jeong, In-Jae, 2016. "An effects analysis of logistics collaboration in last-mile networks for CEP delivery services," Transport Policy, Elsevier, vol. 50(C), pages 115-125.
    3. Yaprak, Ümit & Kılıç, Fatih & Okumuş, Abdullah, 2021. "Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Minh Hieu Nguyen & Jimmy Armoogum & Binh Nguyen Thi, 2021. "Factors Affecting the Growth of E-Shopping over the COVID-19 Era in Hanoi, Vietnam," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    5. Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
    6. Kim, Sang Hyun, 2020. "Choice model based analysis of consumer preference for drone delivery service," Journal of Air Transport Management, Elsevier, vol. 84(C).
    7. Kofi Takyi Asante, 2022. "Residual capacity and the political economy of pandemic response in Ghana," WIDER Working Paper Series wp-2022-44, World Institute for Development Economic Research (UNU-WIDER).
    8. Karikari, Serwaa & Osei-Frimpong, Kofi & Owusu-Frimpong, Nana, 2017. "Evaluating individual level antecedents and consequences of social media use in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 68-79.
    9. Hwang, Jinsoo & Kim, Jinkyung Jenny & Lee, Kwang-Woo, 2021. "Investigating consumer innovativeness in the context of drone food delivery services: Its impact on attitude and behavioral intentions," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    10. Maria Kamargianni & Moshe Ben-Akiva & Amalia Polydoropoulou, 2014. "Incorporating social interaction into hybrid choice models," Transportation, Springer, vol. 41(6), pages 1263-1285, November.
    11. Sohyun Park & Keumsook Lee, 2021. "Examining the Impact of E-Commerce Growth on the Spatial Distribution of Fashion and Beauty Stores in Seoul," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
    12. Tomáš Settey & Jozef Gnap & Dominika Beňová & Michal Pavličko & Oľga Blažeková, 2021. "The Growth of E-Commerce Due to COVID-19 and the Need for Urban Logistics Centers Using Electric Vehicles: Bratislava Case Study," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    13. Hong Jiang & Xinhui Ren, 2020. "Comparative Analysis of Drones and Riders in On-Demand Meal Delivery Based on Prospect Theory," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-13, July.
    14. M. Velden & A. Iodice D’Enza & F. Palumbo, 2017. "Cluster Correspondence Analysis," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 158-185, March.
    15. Pettigrew, Simone & Dana, Liyuwork Mitiku & Norman, Richard, 2019. "Clusters of potential autonomous vehicles users according to propensity to use individual versus shared vehicles," Transport Policy, Elsevier, vol. 76(C), pages 13-20.
    16. Yuen, Kum Fai & Wang, Xueqin & Ng, Li Ting Wendy & Wong, Yiik Diew, 2018. "An investigation of customers’ intention to use self-collection services for last-mile delivery," Transport Policy, Elsevier, vol. 66(C), pages 1-8.
    17. Brandon Alan Bridge & Matías Fontenla, 2019. "Household-level effects of electricity on off-farm income," Economics Bulletin, AccessEcon, vol. 39(1), pages 409-418.
    18. Yap, Menno D. & Correia, Gonçalo & van Arem, Bart, 2016. "Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 1-16.
    19. Liming Hou & Shuoxun Zhang, 2019. "Digital Payment and Household Consumption," Working Papers 2019-07-08, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    20. Duc Hong Vo & Phuong Doan Ho & Chi Minh Ho & Michael McAleer, 2019. "The Gender Wealth Gap by Household Head in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(3), pages 122-153, September.
    21. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
    22. Reuben Tamakloe & Dongjoo Park & Hyunho Chang, 2022. "Discovering research topics, trends, and perspectives in COVID-19-related transportation journal articles," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 26(4), pages 710-738, October.
    23. McQueen, Michael & Clifton, Kelly J., 2022. "Assessing the perception of E-scooters as a practical and equitable first-mile/last-mile solution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 395-418.
    24. Fafoutellis, Panagiotis & Mantouka, Eleni G. & Vlahogianni, Eleni I., 2022. "Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 270-284.
    25. Weihua Liu & Dong Xie & Yang Liu & Xiaoyan Liu, 2015. "Service capability procurement decision in logistics service supply chain: a research under demand updating and quality guarantee," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 488-510, January.
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