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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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Modeling Users’ Adoption of Shared Autonomous Vehicles Employing Actual Ridership Experiences
Transportation Research Record: Journal of the Transportation Research Board, 2022Despite the growing interest in implementing shared autonomous vehicles (SAVs) as a new mobility mode, there is still a lack of methodologies to unpack SAV adoption by individuals after experiencing self-driving vehicles. This study aimed to fill this gap by analyzing data collected from a users’ survey of a self-driving shuttle piloted downtown and ...
Roya Etminani-Ghasrodashti +4 more
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Predicative Model for Uber Ridership in New York City
Proceedings of the International Conference on Business and Information Management, 2017Objective: This study aimed to build a predictive model for Uber ridership in New York City.Data: Uber rides data is downloaded from GitHub. The data were collected during January 2015 to June 2015 and had ridership information for all the five boroughs of New York City.
Shaochen Zhu, Betty Wang
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A direct demand model for bus transit ridership in Bengaluru, India
Transportation Research Part A: Policy and Practice, 2022This study formulates a disaggregate direct demand model of bus transit ridership while addressing the following substantive and methodological issues: (a) endogeneity and non-linearity of the influence of service frequency on ridership, (b) inter-route relationships such as competition and complementarity among routes within the bus transit network ...
Deepa, L. +4 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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Simplifications for single-route transit-ridership forecasting models
Transportation, 1984The growth in popularity of microcomputers has reemphasized the need for simplified transit-planning techniques. This paper describes and evaluates a single-route ridership forecasting model which is designed to fit within a modest-sized microcomputer.
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PART 5: Commuter Rail: Loadgen: NJ Transit’s Ridership Allocation Model
Transportation Research Record: Journal of the Transportation Research Board, 1997Effective equipment manipulation can lead to cost savings in vehicle purchases, maintenance, and parts inventory. “Loadgen,” developed in-house by NJ Transit, is a computerized ridership allocation model that helps size train consists. It projects the number of riders boarding or departing at each station stop for each train in a proposed schedule ...
John A. Disarro, Andrew J. Galloway
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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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An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership
Transportation, 2020Ridership prediction at station level plays a critical role in subway transportation planning. Among various existing ridership prediction methods, direct demand model has been recognized as an effective approach. However, direct demand models including geographically weighted regression (GWR) have rarely been studied for local model selection in ...
Yuxin He, Yang Zhao, Kwok Leung Tsui
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Ridership estimation of a new LRT system: Direct demand model approach
Journal of Transport Geography, 2017Abstract The successful introduction of LRT systems is inevitably related to the realistic estimation of their ridership; this is particularly true for cases of no prior experience in the use of such modes in the part of the traveling public. This paper presents a practical approach for developing a direct demand model, for the case of a planned LRT ...
Konstantinos Kepaptsoglou +2 more
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