SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Systematic review of passenger demand forecasting in aviation industry
16 references·3 citing·46 second hop
Systematic review of passenger demand forecasting in aviation industry (2023)Systematic review of passenger demand for…A review of research into air transport and tourism (2021)A review of research into air…Pandemics, tourism and global change: a rapid assessment of COVID-19 (2020)Pandemics, tourism and global…How did COVID-19 impact air transportation? A first peek through the lens of complex networks (2020)How did COVID-19 impact air t…Forecasting tourism demand with multisource big data (2020)Forecasting tourism demand wi…Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact (2020)Estimating and projecting air…Passenger demand forecasting in scheduled transportation (2019)Passenger demand forecasting …The role of airport service quality in airport and destination choice (2018)The role of airport service q…Research for TRAN Committee - Overtourism: impact and possible policy responses (2018)Research for TRAN Committee -…Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach (2018)Forecasting the demand of the…A multiple criteria approach for airline passenger satisfaction measurement and service quality improvement (2017)A multiple criteria approach …SARIMA modelling approach for railway passenger flow forecasting (2016)SARIMA modelling approach for…Air transportation demand forecast through Bagging Holt Winters methods (2016)Air transportation demand for…Machine Learning Strategies for Time Series Forecasting (2013)Machine Learning Strategies f…The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literature (2011)The Methodological Progress o…An Empirical Comparison of Machine Learning Models for Time Series Forecasting (2010)An Empirical Comparison of Ma…Tourism demand modelling and forecasting—A review of recent research (2007)Tourism demand modelling and …Future Roadmap for the Implementation of Sustainable Development Goals SDG9: Industry, Innovation, and Infrastructure in Kuwait (2025)Future Roadmap for the Implem…Demand Forecasting Model for Airline Flights Based on Historical Passenger Flow Data (2024)Demand Forecasting Model for …Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models (2023)Short-term forecasting airpor…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Forecasting with artificial neural networks: (1998)25 years of time series forecasting (2006)Variable Selection in Time Series Forecasting Using Random Forests (2017)Criteria for classifying forecasting methods (2019)Daily retail demand forecasting using machine learning with emphasis on calendric special days (2020)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)Social Media in Tourism and Hospitality: A Literature Review (2013)Progress and prospects for event tourism research (2015)Big data in tourism research: A literature review (2018)Time Series Analysis: Forecasting and Control (1977)Forecasting methods and applications (1993)A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition (2012)The M4 Competition: Results, findings, conclusion and way forward (2018)A survey analysis of service quality for domestic airlines (2002)The evaluation of airline service quality by fuzzy MCDM (2002)The effect of airline service quality on passengers’ behavioural intentions: a Korean case study (2004)Multi-criteria decision making methods: Application in the aviation industry (2019)Ranking the Libyan airlines by using Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP) (2019)The impact of service quality and price on passengers' loyalty towards low-cost airlines: The Southeast Asia perspective (2020)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Exploring different airport users’ service quality satisfaction between service providers and air travelers (2019)The Relationship Between Service Quality, Corporate Image, and Customer Loyalty of Generation Y: An Application of S-O-R Paradigm in the Context of Superstores in Bangladesh (2020)A bibliometric analysis of airport service quality (2022)Time Series Analysis: Forecasting and Control. (1978)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Tourism demand forecasting using tourist-generated online review data (2022)Tourism demand forecasting with spatiotemporal features (2022)Tourism and Hospitality Forecasting With Big Data: A Systematic Review of the Literature (2024)Climate tipping points — too risky to bet against (2019)Pandemics, transformations and tourism: be careful what you wish for (2020)Reviving tourism industry post-COVID-19: A resilience-based framework (2020)The Global Macroeconomic Impacts of COVID-19: Seven Scenarios (2020)Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research (2020)Tourism in protected and conserved areas amid the COVID-19 pandemic (2021)Tourism, technology and ICT: a critical review of affordances and concessions (2021)Psychological Determinants of Tourist Satisfaction and Destination Loyalty: The Influence of Perceived Overcrowding and Overtourism (2022)A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure (2020)COVID-19 Outbreak in Colombia: An Analysis of Its Impacts on Transport Systems (2020)COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane (2021)Forecasting temporal world recovery in air transport markets in the presence of large economic shocks: The case of COVID-19 (2020)Post pandemic aviation market recovery: Experience and lessons from China (2020)
this work references cited by second hop

References

  • 2020Pandemics, tourism and global change: a rapid assessment of COVID-194,785 cited
  • 2007Tourism demand modelling and forecasting—A review of recent research1,419 cited
  • 2010An Empirical Comparison of Machine Learning Models for Time Series Forecasting793 cited
  • 2013Machine Learning Strategies for Time Series Forecasting568 cited
  • 2020Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact348 cited
  • 2018Research for TRAN Committee - Overtourism: impact and possible policy responses310 cited
  • 2020How did COVID-19 impact air transportation? A first peek through the lens of complex networks277 cited
  • 2020Forecasting tourism demand with multisource big data260 cited
  • 2017A multiple criteria approach for airline passenger satisfaction measurement and service quality improvement178 cited
  • 2018The role of airport service quality in airport and destination choice173 cited
  • 2018Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach163 cited
  • 2016SARIMA modelling approach for railway passenger flow forecasting142 cited
  • 2016Air transportation demand forecast through Bagging Holt Winters methods133 cited
  • 2021A review of research into air transport and tourism131 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2011The Methodological Progress of Tourism Demand Forecasting: A Review of Related Literature112 cited
  • 2019Passenger demand forecasting in scheduled transportation106 cited
  • Cited by

    • 2023Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models44 cited
    • 2024Demand Forecasting Model for Airline Flights Based on Historical Passenger Flow Data12 cited
    • 2025Future Roadmap for the Implementation of Sustainable Development Goals SDG9: Industry, Innovation, and Infrastructure in Kuwait7 cited