Demand analysis in urban air mobility: A literature review

Urban air mobility (UAM) is a novel concept that is revolutionizing urban transportation. This transformation is largely due to the development of electric vertical take-off and landing (eVTOL) vehicles, which have made UAM a reality in the urban region. The success of this emerging mode of transportation is largely dependent on market demand. However, there is a lack of systematic reviews on demand analysis for UAM. To address this gap, the authors conducted a comprehensive review of the recently published literature on demand analysis for UAM. They firstly identified the demand for UAM in various types of on-demand applications, including passenger services, cargo services, and other services. Secondly, they discussed and identified the factors that influence the market demand in UAM, such as time, cost, distance, congestion, safety, privacy, and noise. Additionally, the authors examined the existing qualitative and quantitative methods for demand analysis in UAM. They found that the most common techniques include stated-preference surveys, discrete choice models, and clustering algorithms. They further discussed the role of market demand in the UAM life cycle, highlighting the potential impacts of demand on the development, implementation, and regulation of UAM systems. Finally, the authors concluded their review by highlighting several opportunities for future research related to demand analysis for UAM, and these include feasibility of air shuttle services, potential cargo applications, public acceptance, infrastructure placement, integration with existing transportation, and novel demand estimation methods, while addressing various aspects of UAM life cycle, including vehicle technology, infrastructure, airspace, and operation management.

• Record URL:
  https://doi.org/10.1016/j.jairtraman.2023.102436
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0969699723000790
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/31005945
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Long, Qi
  • Ma, Jun
  • Jiang, Feifeng
  • Webster, Christopher John
• Publication Date: 2023-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 102436
• Serial:
  • Journal of Air Transport Management
  • Volume: 112
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0969-6997
  • Serial URL: http://www.sciencedirect.com/science/journal/09696997

Subject/Index Terms

• TRT Terms: Air travel; Demand; Electric vehicles; Mobility; VTOL aircraft
• Subject Areas: Aviation; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01887824
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 18 2023 9:16AM