TY - GEN
T1 - Hierarchical Vertiport Network for an Urban Air Mobility System
T2 - 42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023
AU - Peksa, Magdalena
AU - Dandl, Florian
AU - Bogenberger, Klaus
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Urban Air Mobility (UAM) is considered a future alternative for not only inner-city but also regional travel. Because of the high cost of building the UAM infrastructure, UAM take-off and landing spots should be placed strategically, maximising benefits for both passengers and the operator. We referred to the hub location theory when developing possible UAM transportation networks and locating vertiports, considering a hierarchical hub network that distinguishes between two types of hubs (hubs and central hubs). We adjusted the hierarchical model with a single assignment, allowing direct travel between demand nodes assigned to the same hub. We applied the model to a Bavarian transportation network consisting of 5 central hubs (4 cities and Munich Airport) and investigated which way of incorporating the city of Munich into the network would produce the best results in terms of minimising the mean passenger travel time.
AB - Urban Air Mobility (UAM) is considered a future alternative for not only inner-city but also regional travel. Because of the high cost of building the UAM infrastructure, UAM take-off and landing spots should be placed strategically, maximising benefits for both passengers and the operator. We referred to the hub location theory when developing possible UAM transportation networks and locating vertiports, considering a hierarchical hub network that distinguishes between two types of hubs (hubs and central hubs). We adjusted the hierarchical model with a single assignment, allowing direct travel between demand nodes assigned to the same hub. We applied the model to a Bavarian transportation network consisting of 5 central hubs (4 cities and Munich Airport) and investigated which way of incorporating the city of Munich into the network would produce the best results in terms of minimising the mean passenger travel time.
UR - http://www.scopus.com/inward/record.url?scp=85178662216&partnerID=8YFLogxK
U2 - 10.1109/DASC58513.2023.10311154
DO - 10.1109/DASC58513.2023.10311154
M3 - Conference contribution
AN - SCOPUS:85178662216
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
BT - DASC 2023 - Digital Avionics Systems Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 1 October 2023 through 5 October 2023
ER -
