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Forecasting ridership for a metropolitan transit authority
16 references·15 citing·35 second hop
Forecasting ridership for a metropolitan transit authority (2011)Forecasting ridership for a metropolitan …Handbook of Economic Forecasting (2013)Handbook of Economic Forecast…Time series analysis forecasting and control (2009)Time series analysis forecast…The relationship between recent gasoline price fluctuations and transit ridership in major US cities (2009)The relationship between rece…Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas (2008)Nature and/or nurture? Analyz…Chapter 4 Forecast Combinations (2006)Chapter 4 Forecast Combinatio…The Factors Influencing Transit Ridership: A Review and Analysis of the Ridership Literature (2003)The Factors Influencing Trans…Neural network forecasting for seasonal and trend time series (2003)Neural network forecasting fo…Principles of Forecasting. A Handbook for Researchers and Practitioners (2002)Principles of Forecasting. A …Principles of forecasting : a handbook for researchers and practitioners (2001)Principles of forecasting : a…GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics (2001)GARCH 101: The Use of ARCH/GA…Combining Forecasts (2001)Combining ForecastsA neural network approach to mutual fund net asset value forecasting (1996)A neural network approach to …Combining forecasts: A review and annotated bibliography (1990)Combining forecasts: A review…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review…The impact of fare and gasoline price changes on monthly transit ridership: Empirical evidence from seven U.S. transit authorities (1984)The impact of fare and gasoli…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Spatially Varying Effect Mechanism of Intermodal Connection on Metro Ridership: Evidence from a Polycentric Megacity with Multilevel Ring Roads (2024)Spatially Varying Effect Mech…Coverage vs frequency: Is spatial coverage or temporal frequency more impactful on transit ridership? (2024)Coverage vs frequency: Is spa…Built Environment Renewal Strategies Aimed at Improving Metro Station Vitality via the Interpretable Machine Learning Method: A Case Study of Beijing (2024)Built Environment Renewal Str…Joint Optimization of Distance-Based Fares and Headway for Fixed-Route Bus Operations (2023)Joint Optimization of Distanc…Factors Affecting Public Transportation Ridership in a High-income Developing Country (2023)Factors Affecting Public Tran…Review of Factors Affecting Public Transportation Ridership (2022)Review of Factors Affecting P…Modeling the effects of the governmental responses to COVID-19 on transit demand: The case of Athens, Greece (2022)Modeling the effects of the g…Investigating changes in longitudinal associations between declining bus ridership, bus service, and neighborhood characteristics (2022)Investigating changes in long…Effectiveness of trip planner data in predicting short-term bus ridership (2022)Effectiveness of trip planner…Transit Ridership Growth in Small Urbanized Areas: Lessons from Seven US Transit Systems (2021)Transit Ridership Growth in S…Research on Evaluating the Sustainable Operation of Rail Transit System Based on QFD and Fuzzy Clustering (2020)Research on Evaluating the Su…Public Transit Ridership and Car-Oriented Cities: The Case of the Dallas Region (2019)Public Transit Ridership and …Examining determinants of rail ridership: a case study of the Orlando SunRail system (2019)Examining determinants of rai…Improving metro–airport connection service for tourism development: Using hybrid MCDM models (2013)Improving metro–airport conne…Public transportation demand in a border metropolitan economy (2012)Public transportation demand …Time Series Analysis: Forecasting and Control (1977)Macroeconomics and Reality (1980)Statistical analysis of cointegration vectors (1988)Carbon Tail Risk (2018)Empirical Asset Pricing via Machine Learning (2020)The Combination of Forecasts (1969)The M3-Competition: results, conclusions and implications (2000)Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)Investor Sentiment Aligned: A Powerful Predictor of Stock Returns (2014)Forecasting: theory and practice (2022)Expert judgment: Some necessary conditions and an example. 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References

  • 1978Time Series Analysis: Forecasting and Control.5,299 cited
  • 2009Time series analysis forecasting and control2,585 cited
  • 1989Combining forecasts: A review and annotated bibliography2,170 cited
  • 1990Combining forecasts: A review and annotated bibliography1,465 cited
  • 2006Chapter 4 Forecast Combinations1,318 cited
  • 2001GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics1,224 cited
  • 2013Handbook of Economic Forecasting1,216 cited
  • 2001Principles of forecasting : a handbook for researchers and practitioners1,045 cited
  • 2003Neural network forecasting for seasonal and trend time series987 cited
  • 2002Principles of Forecasting. A Handbook for Researchers and Practitioners517 cited
  • 2008Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas401 cited
  • 2001Combining Forecasts349 cited
  • 1996A neural network approach to mutual fund net asset value forecasting171 cited
  • 2003The Factors Influencing Transit Ridership: A Review and Analysis of the Ridership Literature128 cited
  • 2009The relationship between recent gasoline price fluctuations and transit ridership in major US cities82 cited

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  • 1984The impact of fare and gasoline price changes on monthly transit ridership: Empirical evidence from seven U.S. transit authorities59 cited
  • Cited by

    • 2013Improving metro–airport connection service for tourism development: Using hybrid MCDM models143 cited
    • 2022Investigating changes in longitudinal associations between declining bus ridership, bus service, and neighborhood characteristics22 cited
    • 2022Effectiveness of trip planner data in predicting short-term bus ridership16 cited
    • 2024Built Environment Renewal Strategies Aimed at Improving Metro Station Vitality via the Interpretable Machine Learning Method: A Case Study of Beijing9 cited
    • 2024Spatially Varying Effect Mechanism of Intermodal Connection on Metro Ridership: Evidence from a Polycentric Megacity with Multilevel Ring Roads8 cited
    • 2019Examining determinants of rail ridership: a case study of the Orlando SunRail system8 cited
    • 2021Transit Ridership Growth in Small Urbanized Areas: Lessons from Seven US Transit Systems8 cited
    • 2012Public transportation demand in a border metropolitan economy7 cited
    • 2022Modeling the effects of the governmental responses to COVID-19 on transit demand: The case of Athens, Greece6 cited
    • 2020Research on Evaluating the Sustainable Operation of Rail Transit System Based on QFD and Fuzzy Clustering6 cited
    • 2024Coverage vs frequency: Is spatial coverage or temporal frequency more impactful on transit ridership?5 cited
    • 2022Review of Factors Affecting Public Transportation Ridership5 cited
    • 2023Joint Optimization of Distance-Based Fares and Headway for Fixed-Route Bus Operations4 cited
    • 2019Public Transit Ridership and Car-Oriented Cities: The Case of the Dallas Region4 cited
    • 2023Factors Affecting Public Transportation Ridership in a High-income Developing Country4 cited