Optimal planning of urban air mobility systems accounting for ground access trips

References

• Antcliff, K. R., Moore, M. D., & Goodrich, K. H. (2016). Silicon valley as an early adopter for on-demand civil VTOL operations [Paper presentation]. 16th AIAA Aviation Technology, Integration, and Operations Conference, Washington, DC. https://doi.org/10.2514/6.2016-3466
   Google Scholar
• Balac, M. (2021). The market potential of urban air mobility in the USA: Analysis based on open-data [Paper presentation]. 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, USA. https://doi.org/10.1109/ITSC48978.2021.9564985
   Google Scholar
• Ballou, R. H., Rahardja, H., & Sakai, N. (2002). Selected country circuity factors for road travel distance estimation. Transportation Research Part A: Policy and Practice, 36(9), 843–848. https://doi.org/10.1016/S0965-8564(01)00044-1
   Web of Science ®Google Scholar
• Brownell, C., & Kornhauser, A. (2014). A driverless alternative: Fleet size and cost requirements for a statewide Autonomous Taxi Network in New Jersey. Transportation Research Record: Journal of the Transportation Research Board, 2416(1), 73–81. https://doi.org/10.3141/2416-09
   Google Scholar
• Brunelli, M., Ditta, C. C., & Postorino, M. N. (2023). New infrastructures for Urban Air Mobility systems: A systematic review on vertiport location and capacity. Journal of Air Transport Management, 112, 102460. https://doi.org/10.1016/j.jairtraman.2023.102460
   Web of Science ®Google Scholar
• Bulusu, V., & Sengupta, R. (2020). Urban air mobility: Viability of hub-door and door-door movement by air. Retrieved May 25, 2022, from https://doi.org/10.7922/G2QJ7FK0
   Google Scholar
• Bulusu, V., Onat, E. B., Sengupta, R., Yedavalli, P., & Macfarlane, J. (2021). A traffic demand analysis method for urban air mobility. IEEE Transactions on Intelligent Transportation Systems, 22(9), 6039–6047. https://doi.org/10.1109/TITS.2021.3052229
   Web of Science ®Google Scholar
• Chen, T. D., Kockelman, K. M., & Hanna, J. P. (2016). Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions. Transportation Research Part A: Policy and Practice, 94, 243–254. https://doi.org/10.1016/j.tra.2016.08.020
   Web of Science ®Google Scholar
• Cohen, A. P., Shaheen, S. A., & Farrar, E. M. (2021). Urban air mobility: History, ecosystem, market potential, and challenges. IEEE Transactions on Intelligent Transportation Systems, 22(9), 6074–6087. https://doi.org/10.1109/TITS.2021.3082767
   Web of Science ®Google Scholar
• Daganzo, C. F., & Ouyang, Y. (2019). Public transportation systems: Principles of system design, operations planning and real-time control. World Scientific. https://doi.org/10.1142/10553
   Google Scholar
• Daganzo, C. F., & Ouyang, Y. (2019b). A general model of demand-responsive transportation services: From taxi to ridesharing to dial-a-ride. Transportation Research Part B: Methodological, 126, 213–224. https://doi.org/10.1016/j.trb.2019.06.001
   Web of Science ®Google Scholar
• Daganzo, C. F., & Smilowitz, K. R. (2004). Bounds and approximations for the transportation problem of linear programming and other scalable network problems. Transportation Science, 38(3), 343–356. https://doi.org/10.1287/trsc.1030.0037
   Web of Science ®Google Scholar
• Di Febbraro, A., Sacco, N., & Saeednia, M. (2019). One-way car-sharing profit maximization by means of user-based vehicle relocation. IEEE Transactions on Intelligent Transportation Systems, 20(2), 628–641. https://doi.org/10.1109/TITS.2018.2824119
   Web of Science ®Google Scholar
• Dia, H., & Javanshour, F. (2017). Autonomous shared mobility-on-demand: Melbourne pilot simulation study. Transportation Research Procedia, 22, 285–296. https://doi.org/10.1016/j.trpro.2017.03.035
   Google Scholar
• Ehang. (2020). The future of transportation: White paper on urban air mobility systems. EHang. Retrieved May 25, 2022, from https://www.ehang.com/app/en/EHang%20White%20Paper%20on%20Urban%20Air%20Mobility%20Systems.pdf.
   Google Scholar
• European Union Aviation Safety Agency. (2019). Special condition for VTOL aircraft. Retrieved May 25, 2022, from https://www.easa.europa.eu/sites/default/files/dfu/SC-VTOL-01.pdf.
   Google Scholar
• European Union Aviation Safety Agency. (2022). NPA 2022-06C: Introduction of a regulatory framework for the operation of drones-enabling innovative air mobility with manned VTOL-capable aircraft, the IAW of UAS subject to certification, and the CAW of those UAS operated in the ‘specific’ category. Retrieved April 17, 2023, from https://www.easa.europa.eu/en/downloads/136705/en.
   Google Scholar
• Federal Aviation Administration. (2022). Engineering brief no.105, vertiport design. Retrieved April 17, 2023, from https://www.faa.gov/sites/faa.gov/files/eb-105-vertiports.pdf.
   Google Scholar
• Gambella, C., Malaguti, E., Masini, F., & Vigo, D. (2018). Optimizing relocation operations in electric car-sharing. Omega, 81, 234–245. https://doi.org/10.1016/j.omega.2017.11.007
   Web of Science ®Google Scholar
• Gyeonggi-do Traffic Information Center. (2022). 2022 November monthly traffic analysis report. Retrieved January 5, 2023, from https://gits.gg.go.kr/web/newboard/5569.do?mode=view&schBcode=&schCon=&schStr=&schType=list&pageIndex=1&pageUnit=8&idx=186929440.
   Google Scholar
• Hamilton, B. A. (2018). Urban air mobility (UAM) market study: Final Report. National Aeronautics and Space Administration (NASA). Retrieved June 2, 2020, from https://ntrs.nasa.gov/citations/20190001472
   Google Scholar
• Holden, J., & Goel, N. (2016). Uber elevate: Fast-forwarding to a future of on-demand urban air transportation. Uber Technologies, Inc. Retrieved May 25, 2022, from https://evtol.news/__media/PDFs/UberElevateWhitePaperOct2016.pdf.
   Google Scholar
• Incheon Metropolitan City. (2022). 2021 urban transport basic survey. Retrieved January 5, 2023, from https://www.incheon.go.kr/traffic/TR060002/2090659.
   Google Scholar
• Jang, W. (2010). Travel time and transfer analysis using transit smart card data. Transportation Research Record: Journal of the Transportation Research Board, 2144(1), 142–149. https://doi.org/10.3141/2144-16
   Web of Science ®Google Scholar
• Jeon, S. M. (2016). A comparative study of operating costs by means of transportation in 2014. Korea Research Institute of Transportation Industries. Retrieved May 25, 2022, from http://www.kriti.re.kr/research/research02.php?mode=view&number=245&page=1&b_name=policy_report.
   Google Scholar
• Jeong, J., So, M., & Hwang, H. Y. (2021). Selection of vertiports using k-means algorithm and noise analyses for urban air mobility (uam) in the seoul metropolitan area. Applied Sciences, 11(12), 5729. https://doi.org/10.3390/app11125729
   Google Scholar
• Korea Transportation Safety Authority. (2019). Vehicle kilometer statistics. Retrieved July 28, 2021, from https://kosis.kr/statHtml/statHtml.do?orgId=426&tblId=DT_426001_N004&conn_path=I2.
   Google Scholar
• Long, Q., Ma, J., Jiang, F., & Webster, C. J. (2023). Demand analysis in urban air mobility: A literature review. Journal of Air Transport Management, 112, 102436. https://doi.org/10.1016/j.jairtraman.2023.102436
   Web of Science ®Google Scholar
• Maheshwari, A., Mudumba, S. V., Sells, B. E., Delaurentis, D. A., & Crossley, W. A. (2020). Identifying and analyzing operational limits for passenger-carrying urban air mobility missions [Paper presentation]. AIAA Aviation 2020 Forum, Virtual Event. Abstract retrieved from https://doi.org/10.2514/6.2020-2913
   Google Scholar
• Merchán, D., Winkenbach, M., & Snoeck, A. (2020). Quantifying the impact of urban road networks on the efficiency of local trips. Transportation Research Part A: Policy and Practice, 135, 38–62. https://doi.org/10.1016/j.tra.2020.02.015
   Web of Science ®Google Scholar
• Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020). Shared autonomous vehicle services: A comprehensive review. Transportation Research Part C: Emerging Technologies, 111, 255–293. https://doi.org/10.1016/j.trc.2019.12.008
   Web of Science ®Google Scholar
• Patterson, M. D., Isaacson, D. R., Mendonca, N. L., Neogi, N. A., Goodrich, K. H., Metcalfe, M., Bastedo, B., Metts, C., Hill, B. P., Decarme, D., Griffin, C., & Wiggins, S. (2021). An initial concept for intermediate-state, passenger-carrying urban air mobility operations [Paper presentation]. AIAA Scitech 2021 Forum, Virtual Event, Jan 11-15 & 19-21. Abstract retrieved from https://doi.org/10.2514/6.2021-1626
   Google Scholar
• Rajendran, S., Srinivas, S., & Grimshaw, T. (2021). Predicting demand for air taxi urban aviation services using machine learning algorithms. Journal of Air Transport Management, 92, 102043. https://doi.org/10.1016/j.jairtraman.2021.102043
   Web of Science ®Google Scholar
• Reiche, C., Goyal, R., Cohen, A., Serrao, J., Kimmel, S., Fernando, C., & Shaheen, S. (2018). Urban air mobility market study. National Aeronautics and Space Administration. Retrieved May 25, 2022, from https://doi.org/10.7922/G2ZS2TRG
   Google Scholar
• Rimjha, M., Hotle, S., Trani, A., & Hinze, N. (2021). Commuter demand estimation and feasibility assessment for Urban Air Mobility in Northern California. Transportation Research Part A: Policy and Practice, 148, 506–524. https://doi.org/10.1016/j.tra.2021.03.020
   Web of Science ®Google Scholar
• Rothfeld, R., Fu, M., Balać, M., & Antoniou, C. (2021). Potential urban air mobility travel time savings: An exploratory analysis of munich, paris, and san francisco. Sustainability, 13(4), 2217. https://doi.org/10.3390/su13042217
   Web of Science ®Google Scholar
• Seoul Metropolitan Government. (2021). Seoul administrative districts (division) statistics. Retrieved May 25, 2022, from http://data.seoul.go.kr/dataList/412/S/2/datasetView.do.
   Google Scholar
• Shon, H., & Lee, J. (2021). Integrating multi-scale inspection, maintenance, rehabilitation, and reconstruction decisions into system-level pavement management systems. Transportation Research Part C: Emerging Technologies, 131, 103328. https://doi.org/10.1016/j.trc.2021.103328
   Web of Science ®Google Scholar
• Shon, H., & Lee, J. (2023). Optimal Urban Air Mobility (UAM) planning and operations [Paper presentation]. Poster Session Presented at 102nd Annual Meeting of the Transportation Research Board (TRB), Washington, DC.
   Google Scholar
• Straubinger, A., Rothfeld, R., Shamiyeh, M., Büchter, K. D., Kaiser, J., & Plötner, K. O. (2020). An overview of current research and developments in urban air mobility – Setting the scene for UAM introduction. Journal of Air Transport Management, 87, 101852. https://doi.org/10.1016/j.jairtraman.2020.101852
   Web of Science ®Google Scholar
• United Nations. (2018). 2018 revision of world urbanization prospects. Retrieved May 25, 2022, from https://www.un.org/development/desa/publications/2018-revision-of-world-urbanization-prospects.html.
   Google Scholar
• Weikl, S., & Bogenberger, K. (2015). A practice-ready relocation model for free-floating carsharing systems with electric vehicles–Mesoscopic approach and field trial results. Transportation Research Part C: Emerging Technologies, 57, 206–223. https://doi.org/10.1016/j.trc.2015.06.024
   Web of Science ®Google Scholar
• Wu, Z., & Zhang, Y. (2021). Integrated network design and demand forecast for on-demand urban air mobility. Engineering, 7(4), 473–487. https://doi.org/10.1016/j.eng.2020.11.007
   Web of Science ®Google Scholar
• Zhang, R., & Pavone, M. (2016). Control of robotic mobility-on-demand systems: A queueing-theoretical perspective. The International Journal of Robotics Research, 35(1-3), 186–203. https://doi.org/10.1177/0278364915581863
   Web of Science ®Google Scholar