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Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities

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  • Rajendran, Suchithra
  • Srinivas, Sharan

Abstract

Expected to operate in the imminent future, air taxi service (ATS) is an aerial on-demand transport for a single passenger or a small group of riders, which seeks to transform the method of everyday commute. This uncharted territory in the emerging transportation world is anticipated to enable consumers bypass traffic congestion in urban road networks. By adopting an electric vertical takeoff and landing concept (eVTOL), air taxis could be operational from skyports retrofitted on building rooftops, thus gaining advantage from an implementation standpoint. Motivated by the potential impact of ATS, this study provides a review of air taxi systems and associated operations. We first discuss the current developments in the ATS (demand prediction, air taxi network design, and vehicle configuration). Next, we anticipate potential future challenges of ATS from an operations management perspective, and review the existing literature that could be leveraged to tackle these problems (ride-matching, pricing strategies, vehicle maintenance scheduling, and pilot training and recruitment). Finally, we detail future research opportunities in the air taxi domain.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:transe:v:143:y:2020:i:c:s1366554520307390
    DOI: 10.1016/j.tre.2020.102090
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    as
    1. Harish Guda & Upender Subramanian, 2019. "Your Uber Is Arriving: Managing On-Demand Workers Through Surge Pricing, Forecast Communication, and Worker Incentives," Management Science, INFORMS, vol. 67(5), pages 1995-2014, May.
    2. 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.
    3. 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).
    4. Mirela Stojkovi'{c} & François Soumis, 2001. "An Optimization Model for the Simultaneous Operational Flight and Pilot Scheduling Problem," Management Science, INFORMS, vol. 47(9), pages 1290-1305, September.
    5. Markus Friedrich & Maximilian Hartl & Christoph Magg, 2018. "A modeling approach for matching ridesharing trips within macroscopic travel demand models," Transportation, Springer, vol. 45(6), pages 1639-1653, November.
    6. Moudani, Walid El & Mora-Camino, Félix, 2000. "A dynamic approach for aircraft assignment and maintenance scheduling by airlines," Journal of Air Transport Management, Elsevier, vol. 6(4), pages 233-237.
    7. Marco Percoco, 2010. "Airport Activity and Local Development: Evidence from Italy," Urban Studies, Urban Studies Journal Limited, vol. 47(11), pages 2427-2443, October.
    8. Mizuki Kawabata & Qing Shen, 2006. "Job Accessibility as an Indicator of Auto-Oriented Urban Structure: A Comparison of Boston and Los Angeles with Tokyo," Environment and Planning B, , vol. 33(1), pages 115-130, February.
    9. Xiangtong Qi & Jonathan F. Bard & Gang Yu, 2004. "Class Scheduling for Pilot Training," Operations Research, INFORMS, vol. 52(1), pages 148-162, February.
    10. 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).
    11. Suh, Daniel Y. & Ryerson, Megan S., 2019. "Forecast to grow: Aviation demand forecasting in an era of demand uncertainty and optimism bias," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 400-416.
    12. Ma, Tai-Yu & Rasulkhani, Saeid & Chow, Joseph Y.J. & Klein, Sylvain, 2019. "A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 417-442.
    13. Esther Sanyé-Mengual & Isabelle Anguelovski & Jordi Oliver-Solà & Juan Montero & Joan Rieradevall, 2016. "Resolving differing stakeholder perceptions of urban rooftop farming in Mediterranean cities: promoting food production as a driver for innovative forms of urban agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 33(1), pages 101-120, March.
    14. Yang, Zhongzhen & Yu, Shunan & Notteboom, Theo, 2016. "Airport location in multiple airport regions (MARs): The role of land and airside accessibility," Journal of Transport Geography, Elsevier, vol. 52(C), pages 98-110.
    15. Cetin, Tamer & Deakin, Elizabeth, 2019. "Regulation of taxis and the rise of ridesharing," Transport Policy, Elsevier, vol. 76(C), pages 149-158.
    16. Sun, Luoyi & Teunter, Ruud H. & Babai, M. Zied & Hua, Guowei, 2019. "Optimal pricing for ride-sourcing platforms," European Journal of Operational Research, Elsevier, vol. 278(3), pages 783-795.
    17. Wang, Jianxin & Lim, Ming K. & Zhan, Yuanzhu & Wang, XiaoFeng, 2020. "An intelligent logistics service system for enhancing dispatching operations in an IoT environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    18. Kostas Bimpikis & Ozan Candogan & Daniela Saban, 2019. "Spatial Pricing in Ride-Sharing Networks," Operations Research, INFORMS, vol. 67(3), pages 744-769, May.
    19. Shen, Qing & Chen, Peng & Pan, Haixiao, 2016. "Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 31-44.
    20. Florian Dandl & Michael Hyland & Klaus Bogenberger & Hani S. Mahmassani, 2019. "Evaluating the impact of spatio-temporal demand forecast aggregation on the operational performance of shared autonomous mobility fleets," Transportation, Springer, vol. 46(6), pages 1975-1996, December.
    21. Melinda Matyas & Maria Kamargianni, 2019. "Survey design for exploring demand for Mobility as a Service plans," Transportation, Springer, vol. 46(5), pages 1525-1558, October.
    22. 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.
    23. Qian, Xinwu & Zhang, Wenbo & Ukkusuri, Satish V. & Yang, Chao, 2017. "Optimal assignment and incentive design in the taxi group ride problem," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 208-226.
    24. Yun, Lifen & Wang, Xifu & Fan, Hongqiang & Li, Xiaopeng, 2020. "Reliable facility location design with round-trip transportation under imperfect information Part I: A discrete model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    25. Specht, Kathrin & Sanyé-Mengual, Esther, 2017. "Risks in urban rooftop agriculture: Assessing stakeholders’ perceptions to ensure efficient policymaking," Environmental Science & Policy, Elsevier, vol. 69(C), pages 13-21.
    26. Jean-François Cordeau & Goran Stojković & François Soumis & Jacques Desrosiers, 2001. "Benders Decomposition for Simultaneous Aircraft Routing and Crew Scheduling," Transportation Science, INFORMS, vol. 35(4), pages 375-388, November.
    27. D. Espinoza & R. Garcia & M. Goycoolea & G. L. Nemhauser & M. W. P. Savelsbergh, 2008. "Per-Seat, On-Demand Air Transportation Part I: Problem Description and an Integer Multicommodity Flow Model," Transportation Science, INFORMS, vol. 42(3), pages 263-278, August.
    28. Nelson, Tim & Orton, Fiona, 2013. "A new approach to congestion pricing in electricity markets: Improving user pays pricing incentives," Energy Economics, Elsevier, vol. 40(C), pages 1-7.
    29. K Fagerholt & B A Foss & O J Horgen, 2009. "A decision support model for establishing an air taxi service: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1173-1182, September.
    30. D. Espinoza & R. Garcia & M. Goycoolea & G. L. Nemhauser & M. W. P. Savelsbergh, 2008. "Per-Seat, On-Demand Air Transportation Part II: Parallel Local Search," Transportation Science, INFORMS, vol. 42(3), pages 279-291, August.
    31. Ming Zhang & Yu Zhang & Zhifeng Qiu & Hanlin Wu, 2019. "Two-Stage Covering Location Model for Air–Ground Medical Rescue System," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
    32. Faramroze G. Engineer & George L. Nemhauser & Martin W. P. Savelsbergh, 2011. "Dynamic Programming-Based Column Generation on Time-Expanded Networks: Application to the Dial-a-Flight Problem," INFORMS Journal on Computing, INFORMS, vol. 23(1), pages 105-119, February.
    33. Deng, Qichen & Santos, Bruno F. & Curran, Richard, 2020. "A practical dynamic programming based methodology for aircraft maintenance check scheduling optimization," European Journal of Operational Research, Elsevier, vol. 281(2), pages 256-273.
    34. Furuhata, Masabumi & Dessouky, Maged & Ordóñez, Fernando & Brunet, Marc-Etienne & Wang, Xiaoqing & Koenig, Sven, 2013. "Ridesharing: The state-of-the-art and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 28-46.
    35. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    36. Yu, Bin & Guo, Zhen & Asian, Sobhan & Wang, Huaizhu & Chen, Gang, 2019. "Flight delay prediction for commercial air transport: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 203-221.
    37. Wang, Xiaolei & He, Fang & Yang, Hai & Oliver Gao, H., 2016. "Pricing strategies for a taxi-hailing platform," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 212-231.
    38. 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.
    39. Li, Max Z. & Ryerson, Megan S. & Balakrishnan, Hamsa, 2019. "Topological data analysis for aviation applications," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 149-174.
    40. Sanchez, David Torres & Boyacı, Burak & Zografos, Konstantinos G., 2020. "An optimisation framework for airline fleet maintenance scheduling with tail assignment considerations," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 142-164.
    41. Corberán, Ángel & Landete, Mercedes & Peiró, Juanjo & Saldanha-da-Gama, Francisco, 2020. "The facility location problem with capacity transfers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    42. Munari, Pedro & Alvarez, Aldair, 2019. "Aircraft routing for on-demand air transportation with service upgrade and maintenance events: Compact model and case study," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 75-84.
    43. Zhou, Jiangping, 2012. "Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1013-1029.
    44. Wang, Yong & Li, Lin, 2015. "Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities," Applied Energy, Elsevier, vol. 149(C), pages 89-103.
    45. Yang, Hai & Fung, C.S. & Wong, K.I. & Wong, S.C., 2010. "Nonlinear pricing of taxi services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 337-348, June.
    46. Nelson, John D. & Wright, Steve & Masson, Brian & Ambrosino, Giorgio & Naniopoulos, Aristotelis, 2010. "Recent developments in Flexible Transport Services," Research in Transportation Economics, Elsevier, vol. 29(1), pages 243-248.
    47. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
    48. Lei, Chao & Jiang, Zhoutong & Ouyang, Yanfeng, 2020. "Path-based dynamic pricing for vehicle allocation in ridesharing systems with fully compliant drivers," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 60-75.
    49. Kung, Ling-Chieh & Zhong, Guan-Yu, 2017. "The optimal pricing strategy for two-sided platform delivery in the sharing economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 1-12.
    50. Li, Tao & Wan, Yan, 2019. "Estimating the geographic distribution of originating air travel demand using a bi-level optimization model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 267-291.
    51. Sriram, Chellappan & Haghani, Ali, 2003. "An optimization model for aircraft maintenance scheduling and re-assignment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 29-48, January.
    52. Barth, Matthew & Boriboonsomsin, Kanok, 2009. "Traffic Congestion and Greenhouse Gases," University of California Transportation Center, Working Papers qt3vz7t3db, University of California Transportation Center.
    53. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
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