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Fixed-Route Transit Ridership Forecasting and Service Planning Methods
, 2006D. Boyle
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Forecasting public transit ridership amidst COVID-19: a machine learning approach
Public TransportMuhammad Shah Zeb +5 more
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PAG-TSN: Ridership Demand Forecasting Model for Shared Travel Services of Smart Transportation
IEEE transactions on intelligent transportation systems (Print), 2023With the increasing popularity of cab services such as Didi and Uber, cities are faced with the challenge of high carbon emissions and traffic congestion. Ride-sharing services, as a novel green mode of transportation, have emerged as a key technology in
Jie Li +6 more
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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 ...
Chiang, Wen-Chyuan +2 more
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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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Accuracy and Uncertainty in Traffic and Transit Ridership Forecasts
2022© 2022 Jawad Mahmud ...
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Station-Level Forecasting of Bikesharing Ridership
Transportation Research Record: Journal of the Transportation Research Board, 2013This study investigated the effects on bikesharing ridership levels of demographic and built environment characteristics near bikesharing stations in three operational U.S. systems. Although earlier studies focused on the analysis of a single system, the increasing availability of station-level ridership data has created the opportunity to compare ...
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Machine Learning-Based Public Transit Ridership Forecasting System
International Journal of Scientific Research in Engineering and Management- Public bus transit systems require accurate demand forecasting to enhance operational efficiency and resource allocation. This paper presents a machine learning–based framework for predicting hourly ridership at Bangalore Metropolitan Transport ...
Varun Kumar C V +2 more
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The Accuracy of Transit System Ridership Forecasts and Capital Cost Estimates
International journal of transport economics, 2009In 1992, Pickrell published a seminal piece examining the accuracy of ridership forecasts and capital cost estimates for fixed-guideway transit systems in the US. His research created heated discussions in the transit industry regarding the ability of transit planners to properly plan largescale transit systems.
Hardy, Matthew H. +9 more
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2024 27th International Conference on Computer and Information Technology (ICCIT)
Public transportation systems, particularly bus services, are essential for urban mobility, significantly influencing environmental sustainability and easing traffic congestion.
Abdullah Al Nafees +4 more
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Public transportation systems, particularly bus services, are essential for urban mobility, significantly influencing environmental sustainability and easing traffic congestion.
Abdullah Al Nafees +4 more
semanticscholar +1 more source