Operations Research methodologies in Advanced Air Mobility and their potential applications in Emergency Medical Services

Espejo Diaz, Julian Alberto

dc.contributor.author	Espejo Diaz, Julian Alberto
dc.date.accessioned	2024-02-28T19:10:19Z
dc.date.available	2024-02-28T19:10:19Z
dc.date.issued	2024-02-01
dc.identifier.uri	http://hdl.handle.net/10818/59315
dc.description	159 páginas	es_CO
dc.description.abstract	Recent and important progress in electric vertical take-off and landing (eVTOL) vehicles indicates that soon, these vehicles could transport people and cargo in urban and rural areas. Advanced air mobility (AAM) vehicles such as eVTOL aircraft have the potential to serve as an alternative to traditional modes of transportation. In addition, AAM vehicles can also be used to support healthcare operations. For example, they can be used to provide emergency medical services (EMS) in areas with limited access to ground transportation. This thesis explores the use of operations research techniques to solve important planning problems in AAM operations while considering the unique features of this new technology. This work addresses (i) the aircraft scheduling problem at vertiports, (ii) the vertiport selection problem for EMS, and (iii) the simultaneous vertiport selection and eVTOL distribution problem for EMS. To tackle these problems, various operations research techniques are employed including optimization, heuristics, and simulation models. Data analytics techniques, such as clustering algorithms, are also integrated into the research. The performance of the proposed solution procedures is evaluated using synthetic data and case studies inspired in data from the Auvergne-Rhône-Alpes and Grand Est regions in France. The main results indicate that using the appropriate tools for scheduling aircraft at vertiports (such as the one presented in this thesis) the operations of vertiports can be efficient. In addition, the results indicate that implementing eVTOL vehicles for aeromedical transportation can provide better access to EMS in remote areas. However, the autonomy of these vehicles remains a critical factor in determining their broader applicability. Overall, this thesis provides insights and methodologies to enhance the efficiency and effectiveness of AAM operations in vertiports and its applicability to EMS.	es_CO
dc.format	application/pdf	es_CO
dc.language.iso	spa	es_CO
dc.publisher	Universidad de La Sabana	es_CO
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject.other	Transporte aéreo
dc.subject.other	Transporte de pacientes
dc.subject.other	Vertipuertos
dc.title	Operations Research methodologies in Advanced Air Mobility and their potential applications in Emergency Medical Services	es_CO
dc.type	doctoral thesis	es_CO
dc.type.hasVersion	publishedVersion	es_CO
dc.rights.accessRights	restrictedAccess	es_CO
dc.subject.armarc	Investigación de operaciones
dcterms.references	Aboueljinane, L., Sahin, E., Jemai, Z., and Marty, J. (2014). A simulation study to improve the performance of an emergency medical service: Application to the French Val-de-Marne department. Simulation Modelling Practice and Theory, 47:46–59.
dcterms.references	Ackerman, E. and Koziol, M. (2019). The blood is here: Zipline’s medical delivery drones are changing the game in Rwanda. IEEE Spectrum, 56(5):24–31.
dcterms.references	Ahmadi-Javid, A., Seyedi, P., and Syam, S. S. (2017). A survey of healthcare facility location. Computers & Operations Research, 79:223–263.
dcterms.references	Ahmed, S. S., Fountas, G., Eker, U., Still, S. E., and Anastasopoulos, P. C. (2021). An exploratory empirical analysis of willingness to hire and pay for flying taxis and shared flying car services. Journal of Air Transport Management, 90:101963.
dcterms.references	Airbus (2022). Vahana, Our single-seat eVTOL demonstrator. https://www.airbus.com/en/innovation/low-carbon-aviation/urban-airmobility/cityairbus-nextgen/vahana.
dcterms.references	Airbus (2023). Urban Air Mobility taking urban transport into the sky. https://www.airbus.com/en/innovation/zero-emission/urban-air-mobility.
dcterms.references	Akhshabi, M., Tavakkoli-Moghaddam, R., and Rahnamay-Roodposhti, F. (2014). A hybrid particle swarm optimization algorithm for a no-wait flow shop scheduling problem with the total flow time. The International Journal of Advanced Manufacturing Technology, 70(5-8):1181–1188.
dcterms.references	Al-Rabiaah, S., Hosny, M., and AlMuhaideb, S. (2022). An Efficient Greedy Randomized Heuristic for the Maximum Coverage Facility Location Problem with Drones in Healthcare. Applied Sciences, 12(3):1403.
dcterms.references	Alfonso-Lizarazo, E. (2013). Optimization of blood collection systems : Balancing service quality given to the donor and the efficiency in the collection planning. Doctoral thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, https://theses.hal.science/tel00859974.
dcterms.references	Amaran, S., Sahinidis, N. V., Sharda, B., and Bury, S. J. (2014). Simulation optimization: a review of algorithms and applications. 4OR, 12(4):301–333.
dcterms.references	Amazon (2023). Amazon Prime Air’s Drone Takes Flight with AWS and Siemens. https://aws.amazon.com/partners/success/prime-air-siemens/.
dcterms.references	Amitanand Sinha, A. and Rajendran, S. (2023). Study on facility location of air taxi skyports using a prescriptive analytics approach. Transportation Research Interdisciplinary Perspectives, 18:100761.
dcterms.references	Asadi, A., Nurre Pinkley, S., and Mes, M. (2022). A Markov decision process approach for managing medical drone deliveries. Expert Systems with Applications, 204:117490.
dcterms.references	Association for Air Medical Services (2017). The Atlas Database of Air Medical Services (ADAMS). https://aams.org/page/research.
dcterms.references	BAE Systems (2023). What is Advanced Air Mobility? https://www.baesystems.com/en-us/definition/what-is-advanced-air-mobility.
dcterms.references	Banks, J., Carson, J. S., Barry L., N., and Nicol, D. M. (2009). Discrete-event System Simulation. Pearson.
dcterms.references	Bennell, J. A., Mesgarpour, M., and Potts, C. N. (2011). Airport runway scheduling. 4OR, 9(2):115–138.
dcterms.references	Bezanson, J., Karpinski, S., Shah, V. B., and Edelman, A. (2012). Julia: A fast dynamic language for technical computing. arXiv.
dcterms.references	Bock, H.-H. (2008). Origins and extensions of the k-means algorithm in cluster analysis. Electronic Journal for History of Probability and Statistics, 4(2).
dcterms.references	Boujemaa, R., Jebali, A., Hammami, S., Ruiz, A., and Bouchriha, H. (2018). A stochastic approach for designing two-tiered emergency medical service systems. Flexible Services and Manufacturing Journal, 30(1-2):123–152.
dcterms.references	Branke, J., Chick, S. E., and Schmidt, C. (2007). Selecting a Selection Procedure. Management Science, 53(12):1916–1932.
dcterms.references	Brown, A. and Harris, W. L. (2020). Vehicle Design and Optimization Model for Urban Air Mobility. Journal of Aircraft, 57(6):1003–1013.
dcterms.references	Chappelle, C., Li, C., Vascik, P. D., and Hansman, R. J. (2018). Opportunities to Enhance Air Emergency Medical Service Scale through New Vehicles and Operations. In 2018 Aviation Technology, Integration, and Operations Conference, Reston, Virginia. American Institute of Aeronautics and Astronautics.
dcterms.references	Chauhan, S. S. and Martins, J. R. R. A. (2020). Tilt-Wing eVTOL Takeoff Trajectory Optimization. Journal of Aircraft, 57(1):93–112.
dcterms.references	Chen, C.-H. and Lee, L. H. (2010). Stochastic Simulation Optimization. WORLD SCIENTIFIC.
dcterms.references	Chen, C.-H., Lin, J., Yücesan, E., and Chick, S. (2000). Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization. Discrete Event Dynamic Systems, 10.
dcterms.references	Chen, L., Wandelt, S., Dai, W., and Sun, X. (2022). Scalable Vertiport Hub Location Selection for Air Taxi Operations in a Metropolitan Region. INFORMS Journal on Computing, 34(2):834–856.
dcterms.references	Chun-Hung Chen (1996). A lower bound for the correct subset-selection probability and its application to discrete-event system simulations. IEEE Transactions on Automatic Control, 41(8):1227–1231.
dcterms.references	Cohen, A. P., Shaheen, S. A., and Farrar, E. M. (2021). Urban Air Mobility: History, Ecosystem, Market Potential, and Challenges. IEEE Transactions on Intelligent Transportation Systems, 22(9):6074–6087.
dcterms.references	Direction de la Recherche, des Études, de l’Évaluation et des Statistiques (2022). Bases statistiques SAE. https://www.data.gouv.fr/fr/datasets/bases-statistiques-sae/.
dcterms.references	Djellab, H. and Djellab, K. (2002). Preemptive Hybrid Flowshop Scheduling problem of interval orders. European Journal of Operational Research, 137(1):37–49.
dcterms.references	Espejo-Díaz, J. A., Alfonso-Lizarazo, E., and Montoya-Torres, J. R. (2023a). A heuristic approach for scheduling advanced air mobility aircraft at vertiports. Applied Mathematical Modelling, 123:871–890.
dcterms.references	Espejo-Díaz, J. A., Alfonso-Lizarazo, E., and Montoya-Torres, J. R. (2023b). Improving access to emergency medical services using advanced air mobility vehicles. Flexible Services and Manufacturing Journal.
dcterms.references	Espejo-Díaz, J. A., Alfonso-Lizarazo, E., and Montoya-Torres, J. R. (2023c). Mathematical Models for Scheduling Electric Vertical Take-Off and Landing (eVTOL) Vehicles at Urban Air Mobility Vertiports. In Montoya-Torres, J. R., Guerrero, W. J., and Cortés-Murcia, D. L., editors, Operations Research and Analytics in Latin America, pages 101–111. Springer.
dcterms.references	Est-RESCUE (2022). Panorama des Urgences du Grand Est 2021. https://www.estrescue.fr/panorama2021/.
dcterms.references	Est-RESCUE (2023). Panorama des urgences RPU 2022. https://www.estrescue.fr/panorama-des-urgences-rpu-2022/.
dcterms.references	European Commision (2023). Urban Air Mobility (UAM). https://smartcities-marketplace.ec.europa.eu/action-clusters-and-initiatives/actionclusters/sustainable-urban-mobility/urban-air-mobility-uam.
dcterms.references	Federal Aviation Administration (2023). Advanced Air Mobility (AAM) Implementation Plan. https://www.faa.gov/sites/faa.gov/files/AAM-I28-Implementation-Plan.pdf.
dcterms.references	Flying Magazine (2023). Dubai International Unveils ‘Flight to Your Flight’ Vertiport Plan. https://www.flyingmag.com/dubai-international-unveils-flight-to-your-flightvertiport-plan/.
dcterms.references	Gagne, D. (2020). NASA Has Changed Urban Air Mobility to Advanced Air Mobility, Should the Industry Follow Suit? https://www.commercialuavnews.com/infrastructure/nasa-has-changed-urbanair-mobility-to-advanced-air-mobility-should-the-industry-follow-suit.
dcterms.references	García-Albertos, P., Picornell, M., Salas-Olmedo, M. H., and Gutiérrez, J. (2019). Exploring the potential of mobile phone records and online route planners for dynamic accessibility analysis. Transportation Research Part A: Policy and Practice, 125:294– 307.
dcterms.references	Garrow, L. A., German, B. J., and Leonard, C. E. (2021). Urban air mobility: A comprehensive review and comparative analysis with autonomous and electric ground transportation for informing future research. Transportation Research Part C: Emerging Technologies, 132:103377.
dcterms.references	Gerdes, I., Temme, A., and Schultz, M. (2018). Dynamic airspace sectorisation for flight-centric operations. Transportation Research Part C: Emerging Technologies, 95:460–480.
dcterms.references	Ghobadi, M., Arkat, J., Farughi, H., and Tavakkoli-Moghaddam, R. (2021). Integration of Facility Location and Hypercube Queuing Models in Emergency Medical Systems. Journal of Systems Science and Systems Engineering, 30(4):495–516.
dcterms.references	Goodrich, K. H. and Barmore, B. (2018). Exploratory Analysis of the Airspace Throughput and Sensitivities of an Urban Air Mobility System. In 2018 Aviation Technology, Integration, and Operations Conference, Reston, Virginia. American Institute of Aeronautics and Astronautics.
dcterms.references	Google (2022). Distance Matrix API overview. https://developers.google.com/maps/documentation/distance-matrix/overview.
dcterms.references	Goyal, R. and Cohen, A. (2022). Advanced Air Mobility: Opportunities and Challenges Deploying eVTOLs for Air Ambulance Service. Applied Sciences, 12(3):1183.
dcterms.references	Goyal, R., Reiche, C., Fernando, C., and Cohen, A. (2021). Advanced Air Mobility: Demand Analysis and Market Potential of the Airport Shuttle and Air Taxi Markets. Sustainability, 13(13):7421.
dcterms.references	Groupe ADP (2022). First integrated vertiport inaugurated in Paris, epicentre of sustainable Advanced Air Mobility (AAM) in Europe. https://presse.groupeadp.fr/firstvertiport-pontoise/?lang=en.
dcterms.references	Gupta, J. N. D. (1988). Two-Stage, Hybrid Flowshop Scheduling Problem. The Journal of the Operational Research Society, 39(4):359.
dcterms.references	He, D., Lee, L. H., Chen, C.-H., Fu, M. C., and Wasserkrug, S. (2010). Simulation optimization using the cross-entropy method with optimal computing budget allocation. ACM Trans. Model. Comput. Simul., 20(1).
dcterms.references	Henderson, S. G. and Mason, A. J. (2015). Ambulance Service Planning: Simulation and Data Visualisation. In Brandeau, Margaret L and Sainfort, François and Pierskalla, William P, (eds) Operations Research and Health Care. International Series in Operations Research & Management Science, vol 70. Springer, Boston, MA.
dcterms.references	Holden, J. and Goel, N. (2016). Fast-Forwarding to a Future of On-Demand Urban Air Transportation. pages 1–98. https://uberpubpolicy.medium.com/fast-forwarding-toa-future-of-on-demand-urban-air-transportation-f6ad36950ffa.
dcterms.references	Hong, L. J., Fan, W., and Luo, J. (2021). Review on ranking and selection: A new perspective. Frontiers of Engineering Management, 8(3):321–343.
dcterms.references	Hong, L. J. and Nelson, B. L. (2006). Discrete Optimization via Simulation Using COMPASS. Operations Research, 54(1):115–129.
dcterms.references	Hong, L. J., Nelson, B. L., and Xu, J. (2015). Discrete Optimization via Simulation. In Fu, M. (eds) Handbook of Simulation Optimization. International Series in Operations Research & Management Science, vol 216, pages 9–44. Springer New York.
dcterms.references	Hyundai (2020). Uber and Hyundai Motor announce aerial ridesharing partnership, release new full-scale Air Taxi model at CES. http://www.hyundai.com/worldwide/en/company/newsroom/ces-2020-hyundaiunveils-uam-s-a1-0000016375.
dcterms.references	Ikli, S., Mancel, C., Mongeau, M., Olive, X., and Rachelson, E. (2021). The aircraft runway scheduling problem: A survey. Computers & Operations Research, 132:105336.
dcterms.references	Inman, J. (1849). Navigation and Nautical Astronomy, for the Use of British Seamen. Francis & John Rivington, 7 edition.
dcterms.references	Institut national de la statistique et des études économiques (2020). Près de 8 millions d’habitants. https://www.insee.fr/fr/statistiques/5006465.
dcterms.references	Institut national de la statistique et des études économiques (2022). Dossier complet Région d’Auvergne-Rhône-Alpes (84). https://www.insee.fr/fr/statistiques/2011101?geo=REG-84.
dcterms.references	Institut national de la statistique et des études économiques (2023). Dossier complet Région du Grand Est (44) . https://www.insee.fr/fr/statistiques/2011101?geo=REG44.
dcterms.references	Jeong, J., So, M., and 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.
dcterms.references	Jun, S. and Park, J. (2015). A hybrid genetic algorithm for the hybrid flow shop scheduling problem with nighttime work and simultaneous work constraints: A case study from the transformer industry. Expert Systems with Applications, 42(15- 16):6196–6204.
dcterms.references	Justin, C. Y., Payan, A. P., Briceno, S. I., German, B. J., and Mavris, D. N. (2020). Power optimized battery swap and recharge strategies for electric aircraft operations. Transportation Research Part C: Emerging Technologies, 115(February):102605.
dcterms.references	Kelly, M. (2020). Sky-High Air Ambulance Prices. Annals of Emergency Medicine, 76(5):A17–A20.
dcterms.references	Kelton, W., Sadowski, P., and Sturrock, D. (2008). Simulation with Arena. 4th ed. McGraw-Hill Professiona.
dcterms.references	Kim, H. and Ham, Y. (2019). Participatory sensing-based geospatial localization of distant objects for disaster preparedness in urban built environments. Automation in Construction, 107:102960.
dcterms.references	Kim, S. H. (2020). Receding Horizon Scheduling of On-Demand Urban Air Mobility With Heterogeneous Fleet. IEEE Transactions on Aerospace and Electronic Systems, 56(4):2751–2761.
dcterms.references	Kim, S. H. and Lee, Y. H. (2016). Iterative optimization algorithm with parameter estimation for the ambulance location problem. Health Care Management Science, 19(4):362–382.
dcterms.references	Kim, S. J., Lim, G. J., Cho, J., and Côté, M. J. (2017). Drone-Aided Healthcare Services for Patients with Chronic Diseases in Rural Areas. Journal of Intelligent & Robotic Systems, 88(1):163–180.
dcterms.references	Kleinbekman, I. C., Mitici, M., and Wei, P. (2020). Rolling-Horizon Electric Vertical Takeoff and Landing Arrival Scheduling for On-Demand Urban Air Mobility. Journal of Aerospace Information Systems, 17(3):150–159.
dcterms.references	Kleinbekman, I. C., Mitici, M. A., and Wei, P. (2018). eVTOL Arrival Sequencing and Scheduling for On-Demand Urban Air Mobility. In 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC), pages 1–7. IEEE.
dcterms.references	Kou, G., Xiao, H., Cao, M., and Lee, L. H. (2021). Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization. Automatica, 129:109599.
dcterms.references	Leknes, H., Aartun, E. S., Andersson, H., Christiansen, M., and Granberg, T. A. (2017). Strategic ambulance location for heterogeneous regions. European Journal of Operational Research, 260(1):122–133.
dcterms.references	Lieder, A., Briskorn, D., and Stolletz, R. (2015). A dynamic programming approach for the aircraft landing problem with aircraft classes. European Journal of Operational Research, 243(1):61–69.
dcterms.references	Lim, E. and Hwang, H. (2019). The Selection of Vertiport Location for On-Demand Mobility and Its Application to Seoul Metro Area. International Journal of Aeronautical and Space Sciences, 20(1):260–272.
dcterms.references	magniX (2023). magniX is Leading the Electrification of Aviation. https://www.magnix.aero/.
dcterms.references	Manning, C., Raghavan, P., and Schütze, H. (2009). Introduction to Information Retrieval. Cambridge University Press.
dcterms.references	McCormack, R. and Coates, G. (2015). A simulation model to enable the optimization of ambulance fleet allocation and base station location for increased patient survival. European Journal of Operational Research, 247(1):294–309.
dcterms.references	Mell, H. K., Mumma, S. N., Hiestand, B., Carr, B. G., Holland, T., and Stopyra, J. (2017). Emergency Medical Services Response Times in Rural, Suburban, and Urban Areas. JAMA Surgery, 152(10):983.
dcterms.references	Mihara, Y., Pawnlada, P., Nakamoto, A., Nakamura, T., and Nakano, M. (2021). Cost Analysis of eVTOL Configuration Design for an Air Ambulances System in Japan. Technical report.
dcterms.references	Ministère des Solidarités et de la Santé (2015). Circulaire interministérielle DGOS/R2/DGSCGC no 2015-190 du 5 juin 2015 relative à l’application de l’arrêté du 24 avril 2009 relatif à la mise en œuvre du référentiel portant sur l’organisation du secours à personne et de l’aide médicale urgente. Technical report.
dcterms.references	Missaoui, A. and Boujelbene, Y. (2021). An effective iterated greedy algorithm for blocking hybrid flow shop problem with due date window. RAIRO - Operations Research, 55(3):1603–1616.
dcterms.references	Mollaei, A., Mohammadi, M., and Naderi, B. (2019). A bi-objective MILP model for blocking hybrid flexible flow shop scheduling problem: robust possibilistic programming approach. International Journal of Management Science and Engineering Management, 14(2):137–146.
dcterms.references	NASA (2021). Urban Air Mobility mission overview. https://www.nasa.gov/aam/overview/.
dcterms.references	National Emergency and Medical Services Information System (NEMSIS) (2019). 2019 Data Report. https://nemsis.org/wp-content/uploads/2022/05/NEMSIS-AnnualPublic-Data-Report-2019.pdf.
dcterms.references	Nawaz, M., Enscore, E. E., and Ham, I. (1983). A heuristic algorithm for the m-machine, n-job flow-shop sequencing problem. Omega, 11(1):91–95.
dcterms.references	Nelson, B. L. (2014). Optimization via Simulation Over Discrete Decision Variables. In INFORMS TutORialsin Operations Research, pages 193–207. INFORMS
dcterms.references	NUAIR, Crown Consulting, Mosaic ATM, and NASA (2021). High-density automated vertiport concept of operations. https://ntrs.nasa.gov/citations/20210016168.
dcterms.references	OpenStreetMap (2021). Carte des départements. https://www.data.gouv.fr/fr/datasets/carte-des-departements-2-1/#resources.
dcterms.references	Owen, S. H. and Daskin, M. S. (1998). Strategic facility location: A review. European Journal of Operational Research, 111(3):423–447.
dcterms.references	Pan, Q.-K., Ruiz, R., and Alfaro-Fernández, P. (2017). Iterated search methods for earliness and tardiness minimization in hybrid flowshops with due windows. Computers & Operations Research, 80:50–60.
dcterms.references	Pappinen, J. and Nordquist, H. (2022). Driving Speeds in Urgent and Non-Urgent Ambulance Missions during Normal and Reduced Winter Speed Limit Periods—A Descriptive Study. Nursing Reports, 12(1):50–58.
dcterms.references	Pinedo, M. L. (2016). Scheduling. Springer International Publishing, Cham.
dcterms.references	Ploetner, K. O., Al Haddad, C., Antoniou, C., Frank, F., Fu, M., Kabel, S., Llorca, C., Moeckel, R., Moreno, A. T., Pukhova, A., Rothfeld, R., Shamiyeh, M., Straubinger, A., Wagner, H., and Zhang, Q. (2020). Long-term application potential of urban air mobility complementing public transport: an upper Bavaria example. CEAS Aeronautical Journal, 11(4):991–1007.
dcterms.references	Preis, L. (2023). Estimating vertiport passenger throughput capacity for prominent eVTOL designs. CEAS Aeronautical Journal, 14(2):353–368.
dcterms.references	Preis, L. and Hornung, M. (2022). A Vertiport Design Heuristic to Ensure Efficient Ground Operations for Urban Air Mobility. Applied Sciences, 12(14):7260.
dcterms.references	Premack, Rachel (2020). America’s largest retirement community can soon receive their prescriptions from CVS via a UPS drone delivery service. Business Insider, https://www.businessinsider.com/ups-cvs-drone-deliveries-the-villages-florida2020-4.
dcterms.references	Rajendran, S. (2021). Real-time dispatching of air taxis in metropolitan cities using a hybrid simulation goal programming algorithm. Expert Systems with Applications, 178:115056.
dcterms.references	Rajendran, S. and Shulman, J. (2020). Study of emerging air taxi network operation using discrete-event systems simulation approach. Journal of Air Transport Management, 87(July):101857.
dcterms.references	Rajendran, S. and Zack, J. (2019). Insights on strategic air taxi network infrastructure locations using an iterative constrained clustering approach. Transportation Research Part E: Logistics and Transportation Review, 128(January):470–505.
dcterms.references	Rath, S. and Chow, J. Y. (2022). Air taxi skyport location problem with singleallocation choice-constrained elastic demand for airport access. Journal of Air Transport Management, 105:102294.
dcterms.references	Reiche, C., McGillen, C., Siegel, J., and Brody, F. (2019). Are We Ready to Weather Urban Air Mobility (UAM)? In 2019 Integrated Communications, Navigation and Surveillance Conference (ICNS), volume 2019-April, pages 1–7. IEEE.
dcterms.references	Research and Markets (2021). Urban Air Mobility Market by Component (infrastructure, platform), by operations (piloted, autonomous, hybrid), by range (intercity, intracity), and by region, forecasts to 2030. Technical report.
dcterms.references	Reuter-Oppermann, M., van den Berg, P. L., and Vile, J. L. (2017). Logistics for Emergency Medical Service systems. Health Systems, 6(3):187–208.
dcterms.references	Ridler, S., Mason, A. J., and Raith, A. (2022). A simulation and optimisation package for emergency medical services. European Journal of Operational Research, 298(3):1101– 1113.
dcterms.references	Rodriguez, S. A., De la Fuente, R. A., and Aguayo, M. M. (2020). A facility location and equipment emplacement technique model with expected coverage for the location of fire stations in the Concepción province, Chile. Computers & Industrial Engineering, 147:106522.
dcterms.references	Rodriguez, S. A., De la Fuente, R. A., and Aguayo, M. M. (2021). A simulationoptimization approach for the facility location and vehicle assignment problem for firefighters using a loosely coupled spatio-temporal arrival process. Computers & Industrial Engineering, 157:107242.
dcterms.references	Rothfeld, R., Fu, M., Balać, M., and Antoniou, C. (2021). Potential Urban Air Mobility Travel Time Savings: An Exploratory Analysis of Munich, Paris, and San Francisco. Sustainability, 13(4):2217.
dcterms.references	Ruiz, R. and Vázquez-Rodríguez, J. A. (2010). The hybrid flow shop scheduling problem. European Journal of Operational Research, 205(1).
dcterms.references	SAMU Urgences de France (2022a). Objectifs & historique. https://www.samu-urgencesde-france.fr/fr/sudf/objectifs/.
dcterms.references	SAMU Urgences de France (2022b). Structures d’urgence. https://www.samu-urgencesde-france.fr/fr/sudf/annuaires/autres/.
dcterms.references	Santos, D., Hunsucker, J., and Deal, D. (1995). Global lower bounds for flow shops with multiple processors. European Journal of Operational Research, 80(1):112–120.
dcterms.references	Schilling, D., Elzinga, D. J., Cohon, J., Church, R., and ReVelle, C. (1979). The Team/Fleet Models for Simultaneous Facility and Equipment Siting. Transportation Science, 13(2):163–175.
dcterms.references	Schuchardt, B. I., Geister, D., Lüken, T., Knabe, F., Metz, I. C., Peinecke, N., and Schweiger, K. (2023). Air Traffic Management as a Vital Part of Urban Air Mobility—A Review of DLR’s Research Work from 1995 to 2022. Aerospace, 10(1):81.
dcterms.references	Shao, Q., Shao, M., and Lu, Y. (2021). Terminal area control rules and eVTOL adaptive scheduling model for multi-vertiport system in urban air Mobility. Transportation Research Part C: Emerging Technologies, 132:103385.
dcterms.references	Shi, L. (2000). A New Algorithm for Stochastic Discrete Resource Allocation Optimization. Discrete Event Dynamic Systems, 10(3):271–294.
dcterms.references	Shin, H., Lee, T., and Lee, H.-R. (2022). Skyport location problem for urban air mobility system. Computers & Operations Research, 138:105611.
dcterms.references	Snoeck, A. and Winkenbach, M. (2022). A Discrete Simulation-Based Optimization Algorithm for the Design of Highly Responsive Last-Mile Distribution Networks. Transportation Science, 56(1):201–222.
dcterms.references	Snouffer, E. (2022). Six places where drones are delivering medicines. Nature Medicine, 28(5):874–875.
dcterms.references	Song, K. and Yeo, H. (2021). Development of optimal scheduling strategy and approach control model of multicopter VTOL aircraft for urban air mobility (UAM) operation. Transportation Research Part C: Emerging Technologies, 128:103181
dcterms.references	Song, K., Yeo, H., and Moon, J.-H. (2021). Approach Control Concepts and Optimal Vertiport Airspace Design for Urban Air Mobility (UAM) Operation. International Journal of Aeronautical and Space Sciences, 22(4):982–994
dcterms.references	Sun, D., Tang, L., and Baldacci, R. (2019). A Benders decomposition-based framework for solving quay crane scheduling problems. European Journal of Operational Research, 273(2):504–515.
dcterms.references	Tanaka, S. and Fujikuma, S. (2012). A dynamic-programming-based exact algorithm for general single-machine scheduling with machine idle time. Journal of Scheduling, 15(3):347–361.
dcterms.references	Tassone, J., Pond, G., and Choudhury, S. (2020). Algorithms for optimizing fleet staging of air ambulances. Array, 7:100031.
dcterms.references	The Boeing Company (2022). Urban Air Mobility Concept of Operations (ConOps). https://www.boeing.com/innovation/con-ops/index.page.
dcterms.references	Thipphavong, D. P., Apaza, R., Barmore, B., Battiste, V., Burian, B., Dao, Q., Feary, M., Go, S., Goodrich, K. H., Homola, J., Idris, H. R., Kopardekar, P. H., Lachter, J. B., Neogi, N. A., Ng, H. K., Oseguera-Lohr, R. M., Patterson, M. D., and Verma, S. A. (2018). Urban Air Mobility Airspace Integration Concepts and Considerations. In 2018 Aviation Technology, Integration, and Operations Conference. American Institute of Aeronautics and Astronautics.
dcterms.references	Umutesi, G., Shyirambere, C., Bigirimana, J. B., Urusaro, S., Uwizeye, F. R., Nahimana, E., Tuyishimire, J. D., Mugenzi, P., Mubiligi, J. M., Uwinkindi, F., and Kateera, F. (2021). Cancer care delivery innovations, experiences and challenges during the COVID-19 pandemic: The Rwanda experience. Journal of Global Health, 11:03067.
dcterms.references	UNICEF (2018). The Drones Factsheet An overview of our work with drones for humanitarian use in Malawi. https://www.unicef.org/malawi/reports/drones-factsheet
dcterms.references	U.S. Government Accountability Office (2017). Air ambulance: Data Collection and Transparency Needed to Enhance DOT Oversight. https://collections.nlm.nih.gov/master/borndig/101727033/686167.pdf.
dcterms.references	Van Essen, T., Hurink, J., Nickel, S., and Reuter-Oppermann, M. (2013). Models for Ambulance Planning on the Strategic and the Tactical Level. Technical report Beta Research School for Operations Management and Logistics.
dcterms.references	Vascik, P. D., Cho, J., Bulusu, V., and Polishchuk, V. (2020). Geometric Approach Towards Airspace Assessment for Emerging Operations. Journal of Air Transportation, 28(3):124–133.
dcterms.references	Vascik, P. D. and Hansman, R. J. (2019). Development of Vertiport Capacity Envelopes and Analysis of Their Sensitivity to Topological and Operational Factors. In AIAA Scitech 2019 Forum, Reston, Virginia. American Institute of Aeronautics and Astronautics.
dcterms.references	Volocopter (2022). Volocopter opens first public volocity exhibition in asia. https://www.volocopter.com/newsroom/first-volocity-exhibition-asia/.
dcterms.references	Volocopter (2023). VOLOCITY, The air taxi that’s a cut above. https://www.volocopter.com/en/solutions/volocity.
dcterms.references	Wandelt, S., Dai, W., Zhang, J., and Sun, X. (2022). Toward a Reference Experimental Benchmark for Solving Hub Location Problems. Transportation Science, 56(2):543– 564.
dcterms.references	Wang, L. and Demeulemeester, E. (2023). Simulation optimization in healthcare resource planning: A literature review. IISE Transactions, 55(10):985–1007.
dcterms.references	Wang, X., Gong, X., Geng, N., Jiang, Z., and Zhou, L. (2020a). Metamodel-based simulation optimisation for bed allocation. International Journal of Production Research, 58(20):6315–6335.
dcterms.references	Wang, Y., Deng, Y., Ren, F., Zhu, R., Wang, P., Du, T., and Du, Q. (2020b). Analysing the spatial configuration of urban bus networks based on the geospatial network analysis method. Cities, 96:102406.
dcterms.references	Wang, Z., Delahaye, D., Farges, J.-L., and Alam, S. (2021). Air Traffic Assignment for Intensive Urban Air Mobility Operations. Journal of Aerospace Information Systems, 18(11):860–875.
dcterms.references	Willey, L. C. and Salmon, J. L. (2021). A method for urban air mobility network design using hub location and subgraph isomorphism. Transportation Research Part C: Emerging Technologies, 125:102997.
dcterms.references	Xiao, H. and Gao, S. (2018). Simulation Budget Allocation for Selecting the Topm Designs With Input Uncertainty. IEEE Transactions on Automatic Control, 63(9):3127–3134.
dcterms.references	Xu, J., Nelson, B. L., and Hong, L. J. (2011). An Adaptive Hyperbox Algorithm for High-Dimensional Discrete Optimization via Simulation Problems. INFORMS Journal on Computing, 25(1):133–146.
dcterms.references	Yu, Y., Wang, M., Mesbahi, M., and Topcu, U. (2023). Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs with Equilibrium Constraints. IEEE Transactions on Control of Network Systems, pages 1–12.
thesis.degree.discipline	Facultad de Ingeniería	es_CO
thesis.degree.level	Doctorado en Logística y Gestión de Cadenas de Suministros	es_CO
thesis.degree.name	Doctor en Logística y Gestión de Cadenas de Suministros	es_CO