Constantinos Antoniou

Full Professor

Technical University of Munich

Germany

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About

Constantinos Antoniou is a Full Professor at the Technical University of Munich, Germany. His research areas include sustainable transportation, urban air mobility, and the integration of mobility pricing schemes. Recent articles highlight his work on multi-objective frameworks for vertiport siting, the relationship between the Sustainable Development Goals and transportation, and factors influencing ride-splitting adoption in urban settings.

Articles (20)

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2025

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2023

Collaborators (3)

Marialisa NIGRO

Assistant Professor

Università degli Studi di Roma La Sapienza

ITALY

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Carlos Lima Azevedo

Technical University of Denmark

DENMARK

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Mercedes Castro-Nuño

Associate Professor

Universidad de Sevilla

SPAIN

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Constantinos Antoniou

Research Interests

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About

Articles (20)

A sustainable multi-objective framework for multi-phased, capacitated vertiport siting with land use integration

Acceptability of a mobility pricing scheme: Reducing externalities in urban transportation

Disentangling the relationships between the SDGs and transportation

Planning UAM network under uncertain travelers’ preferences: A sequential two-layer stochastic optimization approach

The Hitchhiker’s Guide to challenges in transport policy research: Towards ANSWERing questions regarding life, mobility, and everything

Understanding factors influencing ride-splitting adoption in Beijing: A comparative analysis with solo ride-hailing

Why do passengers use pooled-rides services? Social effects and implications for policy making

Quantifying the improvement of accessibility achieved via shared mobility on demand

Impact of sensory distractions on reaction time: a comprehensive modeling approach

Urban air mobility for airport access: Mode choice preferences and pricing considerations

Charging strategy selection for electric bus systems: A multi-criteria decision-making approach

Application of naturalistic driving data: A systematic review and bibliometric analysis

Simulation-based policy analysis: The case of urban speed limits

Modeling of shared mobility services - An approach in between aggregate four-step and disaggregate agent-based approaches for strategic transport planning

Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information

Car-sharing subscription preferences and the role of incentives: The case of Copenhagen, Munich, and Tel Aviv-Yafo

Modelling and simulation of (connected) autonomous vehicles longitudinal driving behavior: A state‐of‐the‐art

Modified Bureau of Public Roads Link Function

Can Bike-Sharing Reduce Car Use in Alexandroupolis? An Exploration through the Comparison of Discrete Choice and Machine Learning Models

Predicting network flows from speeds using open data and transfer learning

Collaborators (3)

Marialisa NIGRO

Carlos Lima Azevedo

Mercedes Castro-Nuño

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