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Forecasting ridership for a metropolitan transit authority
Transportation Research, Part A: Policy and Practice, 2011The recent volatility in gasoline prices and the economic downturn have made the management of public transportation systems particularly challenging. Accurate forecasts of ridership are necessary for the planning and operation of transit services. In this paper, monthly ridership of the Metropolitan Tulsa Transit Authority is analyzed to identify the ...
Wen-Chyuan Chiang +2 more
exaly +3 more sources
Seasonal decomposition and combination model for short-term forecasting of subway ridership
International Journal of Machine Learning and Cybernetics, 2021The subway ridership is related with the social activities, such as, commuting, festival, holiday, and so on, which makes the time series of subway ridership presents seasonal characteristic. This characteristic inspires us to decompose the time series into a seasonal component and an epoch component, and employ a combination forecasting method to ...
Jiqiang Tang
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Applied Geography, 2012
Abstract In recent years, station-level ridership forecasting models have been developed based on Geographic Information Systems (GIS) and multiple regression analysis. These models estimate the number of passengers boarding at each station as a function of the station characteristics and the areas that they serve.
Osvaldo Daniel Cardozo +2 more
exaly +3 more sources
Abstract In recent years, station-level ridership forecasting models have been developed based on Geographic Information Systems (GIS) and multiple regression analysis. These models estimate the number of passengers boarding at each station as a function of the station characteristics and the areas that they serve.
Osvaldo Daniel Cardozo +2 more
exaly +3 more sources
PAG-TSN: Ridership Demand Forecasting Model for Shared Travel Services of Smart Transportation
IEEE Transactions on Intelligent Transportation Systems, 2023Guangjie Han +2 more
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Accuracy and Uncertainty in Traffic and Transit Ridership Forecasts
2022© 2022 Jawad Mahmud ...
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Are Graphs and GCNs necessary for short-term metro ridership forecasting?
Expert Systems With ApplicationsXianghua Xu, Zihang Wang, Juan Yu
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Sketch Models to Forecast Commuter and Light Rail Ridership
Transportation Research Record: Journal of the Transportation Research Board, 2006Ridership potential is among the most valuable attributes to understand about a proposed light or commuter rail line during early stages of project development, yet few nationally relevant sketch-level tools exist for feasibility analyses. Research was done to develop a nationally applicable, sketch-level ridership forecasting tool for light rail and ...
Lane, Clayton +2 more
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