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Modeling for Air Travel Demand
2 references·9 citing·42 second hop
Modeling for Air Travel Demand (1992)Modeling for Air Travel DemandTransportation demand analysis (1983)Transportation demand analysisModels of the Demand for Air Transportation (1972)Models of the Demand for Air …What is driving the passenger demand on new regional air routes in India: A study using the gravity model (2022)What is driving the passenger…Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach (2022)Understanding the factors aff…An airport level framework for examining the impact of COVID-19 on airline demand (2022)An airport level framework fo…Investigating the impact of catchment areas of airports on estimating air travel demand: A case study of regional Western Australia (2018)Investigating the impact of c…RAILWAY DEVELOPMENT AND AIR PATRONAGE IN CHINA, 1993–2012: IMPLICATIONS FOR LOW‐CARBON TRANSPORT (2016)RAILWAY DEVELOPMENT AND AIR P…FORECASTING DEMAND FOR LOW COST CARRIERS IN AUSTRALIA USING AN ARTIFICIAL NEURAL NETWORK APPROACH (2015)FORECASTING DEMAND FOR LOW CO…Modeling and Forecasting Passenger Demand for a New Domestic Airport with Limited Data (2011)Modeling and Forecasting Pass…Seasonality and price behaviour of airlines in the Alicante-London market (2010)Seasonality and price behavio…A multivariate neural forecasting modeling for air transport – Preprocessed by decomposition: A Brazilian application (2008)A multivariate neural forecas…Linear Aggregation of Economic Relations. (1956)Airports - An Economic Survey (1978)Modeling the Proximate Covariance Property of Air Travel Itineraries Along the Time-of-Day Dimension (2005)Air Travel Demand Studies: A Review (2010)A demand model for scheduled airline services on international European routes (1997)Time series forecasts of international travel demand for Australia (2002)Gravity models for airline passenger volume estimation (2007)Analyzing air cargo flows of Turkish domestic routes: A comparative analysis of gravity models (2022)Time series forecasting using neural networks (1994)Neural Network Models for Time Series Forecasts (1996)A simulation study of artificial neural networks for nonlinear time-series forecasting (2001)Multistep-Ahead Air Passengers Traffic Prediction with Hybrid ARIMA-SVMs Models (2014)Forecasting transportation demand for the U.S. market (2019)Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models (2023)Forecasting with artificial neural networks: (1998)Time Series Forecasting with Neural Networks: A Comparative Study Using the Air Line Data (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Airline-within-Airline business model and strategy: case study of Qantas Group (2021)Assessing Impact Factors That Affect School Mobility Utilizing a Machine Learning Approach (2024)PRODUCTION, PRIMARY, SECONDARY AND TERTIARY (1939)China statistical yearbook (1988)Air Transport and High-speed Rail Interactions in China: Review on Impacts of Low-cost Carriers, Rail Speed, and Modal Integration (2018)The substitution effect of high-speed rail on civil aviation in China (2022)The adjusted passenger transportation efficiency of nine airports in China with consideration of the impact of high-speed rail network development: A two-step DEA-OLS method (2023)Principles of geographical information systems (1998)The Log of Gravity (2006)Do air passengers behave differently to other regional travellers?: A travel mode choice model investigation (2019)SARIMA damp trend grey forecasting model for airline industry (2019)The Geography of Transport Systems (2020)Regional aviation and economic growth: cointegration and causality analysis in Australia (2015)Meeting economic and social viability goals in regional airline schemes through hub-and-spoke network connectivity (2024)The impact of SARS on Hong Kong’s tourism industry (2004)How did COVID-19 impact air transportation? A first peek through the lens of complex networks (2020)Airport terminal passenger forecast under the impact of COVID-19 outbreaks: A case study from China (2022)How air transport networks respond to long-lasting disruptive events like COVID-19: The first step toward long-term resilience (2023)Airline price responses in the face of demand shocks: European lessons from the COVID-19 pandemic (2024)Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model (2001)The causal relationship between air transport and economic growth: Empirical evidence from South Asia (2016)Demand Forecasting Model for Airline Flights Based on Historical Passenger Flow Data (2024)The Study of International Tourism Demand: A Review of Findings (1994)The Study of International Tourism Demand: A Survey of Practice (1994)Polycentrism, Commuting, and Residential Location in the San Francisco Bay Area (1997)
this work references cited by second hop

References

  • 1983Transportation demand analysis275 cited
  • 1972Models of the Demand for Air Transportation62 cited

Cited by

  • 2008A multivariate neural forecasting modeling for air transport – Preprocessed by decomposition: A Brazilian application73 cited
  • 2018Investigating the impact of catchment areas of airports on estimating air travel demand: A case study of regional Western Australia29 cited
  • 2016RAILWAY DEVELOPMENT AND AIR PATRONAGE IN CHINA, 1993–2012: IMPLICATIONS FOR LOW‐CARBON TRANSPORT29 cited
  • 2015FORECASTING DEMAND FOR LOW COST CARRIERS IN AUSTRALIA USING AN ARTIFICIAL NEURAL NETWORK APPROACH28 cited
  • 2022An airport level framework for examining the impact of COVID-19 on airline demand23 cited
  • 2011Modeling and Forecasting Passenger Demand for a New Domestic Airport with Limited Data21 cited
  • 2022What is driving the passenger demand on new regional air routes in India: A study using the gravity model16 cited
  • 2022Understanding the factors affecting airport level demand (arrivals and departures) using a novel modeling approach14 cited
  • 2010Seasonality and price behaviour of airlines in the Alicante-London market13 cited

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