Assessing airport ground access interventions: An integrated approach combining mode choice modeling and microscopic traffic simulation

Avogadro, Nicolò; Birolini, Sebastian; Redondi, Renato; Deforza, Paolo

doi:10.1016/j.tranpol.2024.01.013

Transport Policy

2024

DOI: 10.1016/j.tranpol.2024.01.013

|View full text |Cite

Assessing airport ground access interventions: An integrated approach combining mode choice modeling and microscopic traffic simulation

Nicolò Avogadro,

Sebastian Birolini,

Renato Redondi

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Air transport: a complex perspective for US Disney and Universal theme parks

Florido-Benítez

2025

Journal of the Air Transport Research Society

View full text Add to dashboard Cite

Air transport: a complex perspective for US Disney and Universal theme parks

Florido-Benítez

2025

Journal of the Air Transport Research Society

View full text Add to dashboard Cite

Con-Accessibility: Logit-based catchment area modeling for strategic airport system planning

Birolini,

Avogadro,

Malighetti

et al. 2024

Transportation Research Part A: Policy and Practice

View full text Add to dashboard Cite

Urban Air Mobility Passengers’ Profiling: Evidence from Milan Airports, Italy

Coppola,

Fabiis,

Silvestri

2024

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Urban air mobility (UAM) is expected to offer new travel options for passengers to and from airports in the near future, despite uncertainties associated with regulatory issues, environmental concerns, and societal impacts. This paper analyzes the socioeconomic and behavioral factors that could influence users’ modal choices (including UAM services) for accessing and egressing airports. Using revealed and stated preference data collected at Milan airports (Italy), mixed logit and hybrid choice modeling specifications are estimated and compared with profile potential UAM passengers. Our findings suggest that the level of service, socioeconomic factors, and trip-related variables explain passengers’ choices better than latent traits such as fear of flying, propensity for technological advances, and expectations about the safety of UAM services. In other words, the additional complexity of hybrid choice modeling is not justified by the slight gain in likelihood compared with the estimated mixed logit model. The results also indicate that high-income individuals traveling for business purposes are the most likely demand segment to use UAM services, at least initially. Moreover, highly educated individuals and employees who have their travel expenses reimbursed for work trips are less likely to choose UAM services for airport access or egress, preferring traditional ground taxis.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Assessing airport ground access interventions: An integrated approach combining mode choice modeling and microscopic traffic simulation

Cited by 3 publications

References 33 publications

Air transport: a complex perspective for US Disney and Universal theme parks

Air transport: a complex perspective for US Disney and Universal theme parks

Con-Accessibility: Logit-based catchment area modeling for strategic airport system planning

Urban Air Mobility Passengers’ Profiling: Evidence from Milan Airports, Italy

Contact Info

Product

Resources

About