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Reinventing Mobility Paradigms: Flying Car Scenarios and Challenges for Urban Mobility

Author

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  • Maria Nadia Postorino

    (Department of Civil, Chemical, Environmental, and Materials Engineering (DICAM), Alma Laurea Studiorum, University of Bologna, 40126 Bologna, Italy)

  • Giuseppe M. L. Sarné

    (Department of Civil, Energy, Environment and Materials Engineering (DICEAM), University Mediterranea of Reggio Calabria, 89122 Reggio Calabria, Italy)

Abstract

Flying vehicles are receiving more and more attention and are becoming an opportunity to start a new urban mobility paradigm. The most interesting feature of flying cars is the expected opportunity they could offer to reduce congestion, traffic jams and the loss of time to move between origin/destination pairs in urban contexts. In this perspective, urban air mobility might meet the concept of “sustainable mobility”, intended as the ideal model of a transport system that minimizes the environmental impacts by maximizing efficiency and travel speed. For transport engineering planning issues, further knowledge is required in this field to understand the effects that a possible urban air mobility system, including the ground traffic component, could have in terms of sustainable mobility in the above meaning. This paper contributes to this topic by providing an analysis of different urban flying car scenarios by using an agent-based approach with different traffic conditions. The preliminary results obtained on some test networks and focusing on travel cost effects suggest that the expected advantages the flying car will depend on trip origin/destination points, average distances travelled in the urban contexts and the location of transition nodes, which are introduced as interchange nodes between aerial and ground mode.

Suggested Citation

  • Maria Nadia Postorino & Giuseppe M. L. Sarné, 2020. "Reinventing Mobility Paradigms: Flying Car Scenarios and Challenges for Urban Mobility," Sustainability, MDPI, vol. 12(9), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3581-:d:351564
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    References listed on IDEAS

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    1. Sun, Yuqing & Ge, Hongxia & Cheng, Rongjun, 2018. "An extended car-following model under V2V communication environment and its delayed-feedback control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 349-358.
    2. Jia, Dongyao & Ngoduy, Dong, 2016. "Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 172-191.
    3. Ennio Cascetta, 2009. "Transportation Systems Analysis," Springer Optimization and Its Applications, Springer, number 978-0-387-75857-2, December.
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    Cited by:

    1. Raoul Rothfeld & Mengying Fu & Miloš Balać & Constantinos Antoniou, 2021. "Potential Urban Air Mobility Travel Time Savings: An Exploratory Analysis of Munich, Paris, and San Francisco," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    2. Wang, Weida & Chen, Yincong & Yang, Chao & Li, Ying & Xu, Bin & Xiang, Changle, 2022. "An enhanced hypotrochoid spiral optimization algorithm based intertwined optimal sizing and control strategy of a hybrid electric air-ground vehicle," Energy, Elsevier, vol. 257(C).
    3. Lee, Changju & Bae, Bumjoon & Lee, Yu Lim & Pak, Tae-Young, 2023. "Societal acceptance of urban air mobility based on the technology adoption framework," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Brunelli, Matteo & Ditta, Chiara Caterina & Postorino, Maria Nadia, 2023. "SP surveys to estimate Airport Shuttle demand in an Urban Air Mobility context," Transport Policy, Elsevier, vol. 141(C), pages 129-139.
    5. Chiara Caterina Ditta & Maria Nadia Postorino, 2023. "Three-Dimensional Urban Air Networks for Future Urban Air Transport Systems," Sustainability, MDPI, vol. 15(18), pages 1-21, September.

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