Urban Air Mobility (UAM): Airport Shuttles or City-Taxis?
A clear explanation of why Milan survey evidence suggests airport shuttle routes may be a stronger early Urban Air Mobility market than city taxi services.
Blog Topic
Advanced Air Mobility Articles
Articles on Advanced Air Mobility, regional air mobility, air taxi demand, OD estimation, infrastructure planning, and transportation forecasting.
Urban Air Mobility Demand Forecasting: Modeling Evidence from the Case Study of Milan (Italy)
Explore Milan UAM demand forecasts for airport shuttles, intercity services, air taxis, vertiport scenarios, fares, and traveler preferences.
Improving Pre-Disaster Air Mobility Planning with Neural Network-Accelerated Genetic Algorithms
A practical explanation of how neural networks can accelerate genetic algorithms for pre-disaster air mobility evacuation planning.
Why Gravity Models Struggle to Capture Temporal Migration Dynamics
A clear explanation of why gravity models can fit spatial migration patterns well but fail to predict how migration changes over time.
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks
A clear explanation of stochastic OD matrix forecasting with matrix factorization, graph convolutional networks, and recurrent neural networks.
A Demand Forecasting Model for Urban Air Mobility in Chengdu, China
A readable walkthrough of a four-step UAM demand forecasting model for Chengdu, China, with a focus on modal split, shared operations, and 2030 demand.
Gravity Model in Transportation Planning
Learn the gravity model for transportation planning, including trip distribution, impedance, calibration, applications, and limitations.
Understanding the Challenges of Estimating Traffic Origin-Destination (OD) Flows
A clear explanation of why traffic origin-destination flow estimation is difficult, especially in large congested networks with limited observations.
Assessing Urban Air Mobility Attractiveness in Jakarta — A Case Study
A practical look at a Jakarta UAM case study that estimates when airport travelers may prefer air mobility over ground transportation.
A Traffic Demand Analysis Method for Urban Air Mobility
Explore a Bay Area UAM demand method comparing multimodal air trips and road commutes across congestion and vertiport scenarios.
Urban Air Mobility: Analyzing Feasibility and Fare Models for Northern California
A clear look at how researchers evaluated UAM landing-site feasibility, commuter demand, and fare levels in the Greater Northern California region.
Advanced Air Mobility: Demand Analysis and Market Potential of the Airport Shuttle and Air Taxi Markets
A clear walkthrough of how researchers estimated the demand and market potential for AAM airport shuttle and air taxi services in the United States.
Evaluation of business travel as a potential customer field of a local AAM market
A clear look at how business travel demand can be modeled as a potential early market for Advanced Air Mobility in Hamburg.
Demand and Capacity Modeling for Advanced Air Mobility
Explore a New York City AAM simulation connecting demand, scheduling, fleet size, vertiport capacity, and passenger delay.
Advanced Air Mobility
An introduction to Advanced Air Mobility, covering air taxis, regional mobility, cargo, infrastructure, autonomy, and deployment challenges.
Demand modeling and operations optimization for advanced regional air mobility
A practical walkthrough of how researchers estimate future demand for advanced regional air mobility in the U.S. Northeast Corridor.
Tennessee's Metropolitan and Micropolitan Statistical Areas
A guide to Tennessee's metropolitan, micropolitan, and combined statistical areas for transportation and regional planning.
Urban Air Mobility vs. Regional Air Mobility
Compare Urban and Regional Air Mobility by aircraft, infrastructure, markets, costs, operating ranges, and potential integration.
Regional Air Mobility: An Introduction
A clear introduction to Regional Air Mobility, why it matters for 50-500 mile trips, and how local airports could become useful transportation hubs again.
Predicting demand for air taxi urban aviation services using machine learning algorithms
A practical look at how machine learning can classify air taxi demand across locations and time periods using ride and weather data.
Insights on strategic air taxi network infrastructure locations using an iterative constrained clustering approach
A readable look at how NYC taxi data and constrained clustering can help planners decide where early air taxi vertistops should go.
Support vector regression model for flight demand forecasting
A readable explanation of using support vector regression to forecast final airline bookings from early pre-sale booking patterns.
Demand prediction for urban air mobility using deep learning
A readable explanation of using LSTM, GRU, and Transformer models to estimate future Urban Air Mobility demand from taxi-trip data.
Flight Demand Forecasting with Transformers
A practical explanation of using Temporal Fusion Transformers to improve multi-horizon airport departure demand forecasting.
Deep Learning for Flight Demand Forecasting
A readable explanation of using seq2seq and attention-based deep learning models to forecast airport departure demand for strategic planning.