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Insights on strategic air taxi network infrastructure locations using an iterative constrained clustering approach

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  • Rajendran, Suchithra
  • Zack, Joshua

Abstract

Expected to launch globally in the forthcoming years, air taxis are brand-new aviation ridesharing services that will be provided by international logistic pioneers. This study is one of the first to estimate the demand for such a service and provide recommendations on the potential location of facilities to support this network operations. We adopt a two-phase approach: phase-1 estimates the demand for air taxi services by taking a subset of the regular taxi customers who are likely to avail this service, and phase-2 proposes a constrained clustering approach, with multimodal transportation-based warm start technique, to identify potential sites for locating infrastructures based on the estimated demand. We test the feasibility of the proposed approach using millions of real-life New York City taxi records. Results indicate that large facilities with a capacity of nearly 150 landings/hour have to be established in JFK International Airport and South Central Park, while smaller stops are required in World Trade Center, Washington Square and Allerton Ballfields. In addition, we evaluate the impact of the commuter’s “willingness to fly” rate, demand fulfillment rate and time-cost tradeoffs. Our analysis shows that the percentage of time savings and “willingness to fly” rate did not significantly impact location decisions and the number of sites, while it is necessary to conduct an intense market study to determine on-road travel limits. Insights provided in this study can act as a decision support tool for any logistics company that is interested in venturing into the air taxi market.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:128:y:2019:i:c:p:470-505
    DOI: 10.1016/j.tre.2019.06.003
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    1. Şafak, Özge & Çavuş, Özlem & Selim Aktürk, M., 2018. "Multi-stage airline scheduling problem with stochastic passenger demand and non-cruise times," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 39-67.
    2. Frade, Ines & Ribeiro, Anabela, 2015. "Bike-sharing stations: A maximal covering location approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 216-227.
    3. Garmendia, M. & Ureña, J.M. & Coronado, J.M., 2011. "Long-distance trips in a sparsely populated region: The impact of high-speed infrastructures," Journal of Transport Geography, Elsevier, vol. 19(4), pages 537-551.
    4. 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.
    5. Ruibin Bai & Jiawei Li & Jason A D Atkin & Graham Kendall, 2014. "A novel approach to independent taxi scheduling problem based on stable matching," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(10), pages 1501-1510, October.
    6. Willigers, Jasper & van Wee, Bert, 2011. "High-speed rail and office location choices. A stated choice experiment for the Netherlands," Journal of Transport Geography, Elsevier, vol. 19(4), pages 745-754.
    7. Lee, Douglas W. & Bass, Ellen J. & Patek, Stephen D. & Boyd, Jeffrey A., 2008. "A traffic engineering model for air taxi services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1139-1161, November.
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    Cited by:

    1. Rath, Srushti & Chow, Joseph Y.J., 2022. "Air taxi skyport location problem with single-allocation choice-constrained elastic demand for airport access," Journal of Air Transport Management, Elsevier, vol. 105(C).
    2. Pahlevani, Delaram & Abbasi, Babak & Hearne, John W. & Eberhard, Andrew, 2022. "A cluster-based algorithm for home health care planning: A case study in Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    3. Pons-Prats, Jordi & Živojinović, Tanja & Kuljanin, Jovana, 2022. "On the understanding of the current status of urban air mobility development and its future prospects: Commuting in a flying vehicle as a new paradigm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    4. Brunelli, Matteo & Ditta, Chiara Caterina & Postorino, Maria Nadia, 2023. "New infrastructures for Urban Air Mobility systems: A systematic review on vertiport location and capacity," Journal of Air Transport Management, Elsevier, vol. 112(C).
    5. Long, Qi & Ma, Jun & Jiang, Feifeng & Webster, Christopher John, 2023. "Demand analysis in urban air mobility: A literature review," Journal of Air Transport Management, Elsevier, vol. 112(C).
    6. 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).
    7. Chen, Linlin & Han, Shuihua & Ye, Zhen & Xia, Senmao, 2023. "The optimisation of the location of front distribution centre: A spatio-temporal joint perspective," International Journal of Production Economics, Elsevier, vol. 263(C).
    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. 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).

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