Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities

by   Suchithra Rajendran, et al.

Expected to operate in the imminent future, air taxi service (ATS) is an aerial on-demand transport for a single passenger or a small group of riders, which seeks to transform the method of everyday commute. This uncharted territory in the emerging transportation world is anticipated to enable consumers bypass traffic congestion in urban road networks. By adopting an electric vertical takeoff and landing concept (eVTOL), air taxis could be operational from skyports retrofitted on building rooftops, thus gaining advantage from an implementation standpoint. Motivated by the potential impact of ATS, this study provides a review of air taxi systems and associated operations. We first discuss the current developments in the ATS (demand prediction, air taxi network design, and vehicle configuration). Next, we anticipate potential future challenges of ATS from an operations management perspective, and review the existing literature that could be leveraged to tackle these problems (ride-matching, pricing strategies, vehicle maintenance scheduling, and pilot training and recruitment). Finally, we detail future research opportunities in the air taxi domain.


Recommendations for Emerging Air Taxi Network Operations based on Online Review Analysis of Helicopter Services

The effects of traffic congestion are adverse, primarily including air p...

Electric Vehicle Charging Scheduling in Green Logistics: Challenges, Approaches and Opportunities

Replacing a fossil fuel-powered car with an electric model can halve gre...

Scheduling Aerial Vehicles in an Urban Air Mobility Scheme

Highly populated cities face several challenges, one of them being the i...

Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations

A significant challenge in estimating operational feasibility of Urban A...

A Route Network Planning Method for Urban Air Delivery

High-tech giants and start-ups are investing in drone technologies to pr...

Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility

It has been considered that urban air mobility (UAM), also known as dron...

Please sign up or login with your details

Forgot password? Click here to reset