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Choice model based analysis of consumer preference for drone delivery service

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  • Kim, Sang Hyun

Abstract

It is anticipated that drones will soon be utilized for a range of applications, including delivery service. However, there has been a lack of research on consumer preference between drone delivery service and traditional delivery service. This is the first study to analyze the consumer preference for drone delivery based on a discrete choice model between the drone delivery service and traditional delivery services by truck or motorcycle. The discrete choice model is estimated using a stated preference survey, and potential consumers’ preference is analyzed for representative commodities with different price. The results show that the price and type of commodities influence consumer preference, which also depends on socio-demographic characteristics such as gender, age, and household income. Specifically, it was consistently observed in all cases that the younger the age, the higher the preference for drone delivery service. This study contributes to predicting the consumer preference for drone delivery service before real service offerings and to supporting the establishment of business strategies for companies who prepare for the new market of drone-based delivery.

Suggested Citation

  • Kim, Sang Hyun, 2020. "Choice model based analysis of consumer preference for drone delivery service," Journal of Air Transport Management, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:jaitra:v:84:y:2020:i:c:s0969699719304661
    DOI: 10.1016/j.jairtraman.2020.101785
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    References listed on IDEAS

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    1. Lee, Joon-Kyu & Kim, Sang Hyun & Sim, Ga Ram, 2019. "Mode choice behavior analysis of air transport on the introduction of remotely piloted passenger aircraft," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 48-55.
    2. Jou, Rong-Chang & Hensher, David A. & Hsu, Tzu-Lan, 2011. "Airport ground access mode choice behavior after the introduction of a new mode: A case study of Taoyuan International Airport in Taiwan," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(3), pages 371-381, May.
    3. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    4. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    5. Mary R Brooks & Sean M Puckett & David A Hensher & Adrian Sammons, 2012. "Understanding mode choice decisions: A study of Australian freight shippers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(3), pages 274-299, September.
    6. Proussaloglou, Kimon & Koppelman, Frank S., 1999. "The choice of air carrier, flight, and fare class," Journal of Air Transport Management, Elsevier, vol. 5(4), pages 193-201.
    7. Shinghal, Nalin & Fowkes, Tony, 2002. "Freight mode choice and adaptive stated preferences," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 367-378, September.
    8. Stephane Hess & John W. Polak, 2006. "Airport, airline and access mode choice in the San Francisco Bay area," Papers in Regional Science, Wiley Blackwell, vol. 85(4), pages 543-567, November.
    9. Furuichi, Masahiko & Koppelman, Frank S., 1994. "An analysis of air travelers' departure airport and destination choice behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 28(3), pages 187-195, May.
    10. Louviere, Jordan J & Hensher, David A, 1983. "Using Discrete Choice Models with Experimental Design Data to Forecast Consumer Demand for a Unique Cultural Event," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(3), pages 348-361, December.
    11. Chorus, Caspar G. & Kroesen, Maarten, 2014. "On the (im-)possibility of deriving transport policy implications from hybrid choice models," Transport Policy, Elsevier, vol. 36(C), pages 217-222.
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    Cited by:

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    2. 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.
    3. Xinhui Ren & Caixia Cheng, 2020. "Model of Third-Party Risk Index for Unmanned Aerial Vehicle Delivery in Urban Environment," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    4. Sham, Rohana & Chong, Han Xi & Cheng-Xi Aw, Eugene & Bibi Tkm Thangal, Thahira & Abdamia, Noranita binti, 2023. "Switching up the delivery game: Understanding switching intention to retail drone delivery services," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    5. Burke, Andrew & Zhao, Jingyuan & Miller, Marshall & Fulton, Lewis, 2023. "Vehicle Choice Modeling for Light-, Medium-, and Heavy-Duty Zero-Emission Vehicles in California," Institute of Transportation Studies, Working Paper Series qt7437p058, Institute of Transportation Studies, UC Davis.
    6. Koh, Le Yi & Lee, Jia Yi & Wang, Xueqin & Yuen, Kum Fai, 2023. "Urban drone adoption: Addressing technological, privacy and task–technology fit concerns," Technology in Society, Elsevier, vol. 72(C).
    7. Amalia Polydoropoulou & Athena Tsirimpa & Ioannis Karakikes & Ioannis Tsouros & Ioanna Pagoni, 2022. "Mode Choice Modeling for Sustainable Last-Mile Delivery: The Greek Perspective," Sustainability, MDPI, vol. 14(15), pages 1-14, July.

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