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Predicting demand for air taxi urban aviation services using machine learning algorithms

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  • Rajendran, Suchithra
  • Srinivas, Sharan
  • Grimshaw, Trenton

Abstract

This research focuses on predicting the demand for air taxi urban air mobility (UAM) services during different times of the day in various geographic regions of New York City using machine learning algorithms (MLAs). Several ride-related factors (such as month of the year, day of the week and time of the day) and weather-related variables (such as temperature, weather conditions and visibility) are used as predictors for four popular MLAs, namely, logistic regression, artificial neural networks, random forests, and gradient boosting. Experimental results suggest gradient boosting to consistently provide higher prediction performance. Specific locations, certain time periods and weekdays consistently emerged as critical predictors.

Suggested Citation

  • Rajendran, Suchithra & Srinivas, Sharan & Grimshaw, Trenton, 2021. "Predicting demand for air taxi urban aviation services using machine learning algorithms," Journal of Air Transport Management, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:jaitra:v:92:y:2021:i:c:s0969699721000260
    DOI: 10.1016/j.jairtraman.2021.102043
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    1. Dimitris Bertsimas & Patrick Jaillet, & Sébastien Martin, 2019. "Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications," Operations Research, INFORMS, vol. 67(1), pages 143-162, January.
    2. Tal Raviv & Ofer Kolka, 2013. "Optimal inventory management of a bike-sharing station," IISE Transactions, Taylor & Francis Journals, vol. 45(10), pages 1077-1093.
    3. Rajendran, Suchithra & Zack, Joshua, 2019. "Insights on strategic air taxi network infrastructure locations using an iterative constrained clustering approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 470-505.
    4. Rajendran, Suchithra & Shulman, Jake, 2020. "Study of emerging air taxi network operation using discrete-event systems simulation approach," Journal of Air Transport Management, Elsevier, vol. 87(C).
    5. Merkert, Rico & Bushell, James, 2020. "Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control," Journal of Air Transport Management, Elsevier, vol. 89(C).
    6. Straubinger, Anna & Rothfeld, Raoul & Shamiyeh, Michael & Büchter, Kai-Daniel & Kaiser, Jochen & Plötner, Kay Olaf, 2020. "An overview of current research and developments in urban air mobility – Setting the scene for UAM introduction," Journal of Air Transport Management, Elsevier, vol. 87(C).
    7. Matsumoto, Hidenobu & Domae, Koji, 2018. "The effects of new international airports and air-freight integrator's hubs on the mobility of cities in urban hierarchies: A case study in East and Southeast Asia," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 160-166.
    8. Rajendran, Suchithra & Srinivas, Sharan, 2020. "Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    9. Agatz, Niels & Erera, Alan & Savelsbergh, Martin & Wang, Xing, 2012. "Optimization for dynamic ride-sharing: A review," European Journal of Operational Research, Elsevier, vol. 223(2), pages 295-303.
    10. Winter, Scott R. & Rice, Stephen & Lamb, Tracy L., 2020. "A prediction model of Consumer's willingness to fly in autonomous air taxis," Journal of Air Transport Management, Elsevier, vol. 89(C).
    11. Agatz, Niels A.H. & Erera, Alan L. & Savelsbergh, Martin W.P. & Wang, Xing, 2011. "Dynamic ride-sharing: A simulation study in metro Atlanta," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1450-1464.
    12. Sun, Xiaoqian & Wandelt, Sebastian & Stumpf, Eike, 2018. "Competitiveness of on-demand air taxis regarding door-to-door travel time: A race through Europe," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 1-18.
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