Results 141 to 150 of about 4,349 (167)
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Forecasting ridership and assessing subsidies for mass rapid transit: a case study in Thailand
Asia Pacific Business ReviewSathaporn Opasanon +1 more
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Transportation Research Record: Journal of the Transportation Research Board, 2018
Transit direct ridership models (DRMs) are commonly used both for descriptive analysis and for forecasting, but are rarely evaluated for their ability to predict beyond the estimation data set. This research does so, using two DRMs estimated for rail and bus ridership in San Francisco.
Mucci, Richard A., Erhardt, Gregory D.
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Transit direct ridership models (DRMs) are commonly used both for descriptive analysis and for forecasting, but are rarely evaluated for their ability to predict beyond the estimation data set. This research does so, using two DRMs estimated for rail and bus ridership in San Francisco.
Mucci, Richard A., Erhardt, Gregory D.
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Forecasting high-speed rail ridership using a simultaneous modeling approach
Transportation Planning and Technology, 2012Abstract The newly launched, June 2009, US High-Speed Intercity Passenger Rail Program has rekindled a renewed interest in forecasting high-speed rail (HSR) ridership. The first step to the concerted effort by the federal, state, rail, and other related agencies to develop a nationwide HSR network is the development of credible approaches to forecast ...
Rongfang Liu, Andy Li
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Decision Tree Based Station-Level Rail Transit Ridership Forecasting
Journal of Urban Planning and Development, 2016AbstractThis paper presents a decision-tree based model to forecast rail transit ridership at the station level according to the surrounding land-use patterns. The canonical correlation analysis (CCA) method is used to identify key land use variables by evaluating their degrees of contribution to the rail transit station demand, which can effectively ...
Xin Li +3 more
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On multi-agent based urban rail transport ridership forecast system
2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT), 2010Ridership forecast is one of the important bases for urban rail transport network planning, design, construction and operation. For the shortcomings of traditional ridership forecast in the stiff human-computer interaction forms, the signal forecast model, the low computational efficiency and the intensive labor, multi-agent-based urban rail transport ...
Yi-song Liu, Hai-mei Liu, Jing-bo Zhao
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EVALUATING PERFORMANCE OF THE SARIMAMODEL IN FORECASTING DAILY KTM RIDERSHIP TRENDS
Far East Journal of Mathematical Sciences (FJMS)Accurate ridership forecasting is crucial for optimizing public transportation operations, including scheduling, capacity planning, and resource allocation. KTM Komuter, one of Malaysia’s primary rail services, experiences fluctuations in daily ridership due to factors such as peak-hour demand, weekends, public holidays, and economic conditions.
Suhaila Bahrom +3 more
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Comprehensive Planning Model for Ferry Ridership Forecasting Analysis in Puget Sound Region
Transportation Research Record: Journal of the Transportation Research Board, 1997The methods used to develop a travel forecasting model for the Washington State Ferries (WSF) are described. The model is being used to develop ridership forecasts for the WSF Long-Range System Plan and other project planning efforts. The WSF model covers a 12-county ferry system service area, including the four counties within the central Puget Sound
Youssef Dehghani +2 more
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Transportation Research Record: Journal of the Transportation Research Board, 1998
In most developed countries, the population of the elderly and disabled is growing rapidly. These individuals require transportation service suited to their needs. Such service may be provided by applying emerging technologies to dial-a-ride transit. This research develops a methodology to quantitatively evaluate the impact of paratransit services on ...
Benjamin, Julian +5 more
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In most developed countries, the population of the elderly and disabled is growing rapidly. These individuals require transportation service suited to their needs. Such service may be provided by applying emerging technologies to dial-a-ride transit. This research develops a methodology to quantitatively evaluate the impact of paratransit services on ...
Benjamin, Julian +5 more
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Synthesis of North American High-Speed Passenger Rail Ridership Forecasting
Transportation Research Record: Journal of the Transportation Research Board, 2017This paper presents a synthesis of two decades of ridership forecasts developed for proposed high-speed intercity passenger rail (HSR) routes in various stages of development across North America. A comprehensive database of ridership forecasts consisted of 210 ridership estimates from 43 unique intercity corridors.
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Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023Khaled Saleh +2 more
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