Results 181 to 190 of about 24,026,061 (220)

Development and Application of a Revenue and Ridership Forecasting Model for Ferry Service

Transportation Research Record: Journal of the Transportation Research Board, 1997
A combination of statistical approaches is used to develop near-to mid-range ridership and revenue forecasting models for Washington State Ferries for use in quarterly budget updates. Econometric regression models use historical and forecast trends in state economic and demographic variables to project systemwide ridership by six fare categories for ...
T. Brent Baker, Raymond G. Deardorf
openaire   +1 more source

Equilibrium Model Based on a Microfoundation for Forecasting Dial-a-Ride Ridership

Transportation Research Record: Journal of the Transportation Research Board, 2001
The demand and capacity of a van dial-a-ride service for elderly and disabled passengers are analyzed together. The service demand is based on a survey of an advanced public transit system for an elderly and disabled persons van service. Demand is estimated by the Poisson regression on individual demand and by aggregating over individuals in the ...
Benjamin, Julian M, Sakano, Ryoichi
openaire   +2 more sources

How wet is too wet? Modelling the influence of weather condition on urban transit ridership

Travel Behaviour & Society, 2022
Ming Wei, Xiaoyang Liu
semanticscholar   +1 more source

An investigation on the performances of mode shift models in transit ridership forecasting

Transportation Research Part A: Policy and Practice, 2015
This paper aims at investigating the over-prediction of public transit ridership by traditional mode choice models estimated using revealed preference data. Five different types of models are estimated and analysed, namely a traditional Revealed Preference (RP) data-based mode choice model, a hybrid mode choice model with a latent variable, a Stated ...
Idris, Ahmed Osman, Nurul Habib, Khandker M., Shalaby, Amer   +2 more
openaire   +2 more sources

AI Model for Predicting Public Transit Ridership Patterns

SSRN Electronic Journal
Predicting public transport ridership trends accurately is crucial to schedule optimization, lowering the operational cost, and enhancing the passenger's experience. This research suggests a predictive framework based on AI that combines historical ridership with external contextual variables like weather, public holidays, and high-profile events.
Mansidak Singh, Kalpana Sangwan, Akshit Saini, Anmol Prashar, Deepika Sharma   +4 more
openaire   +1 more source

Ridership estimation of a new LRT system: Direct demand model approach

Journal of Transport Geography, 2017
Abstract 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, Antony Stathopoulos, Matthew G. Karlaftis   +2 more
openaire   +2 more sources

Exploring the Joint Influence of Built Environment Factors on Urban Rail Transit Peak-Hour Ridership Using DeepSeek

Buildings
Modern cities are facing increasing challenges such as traffic congestion, high energy consumption, and poor air quality, making rail transit systems, known for their high capacity and low emissions, essential components of sustainable urban ...
Zhuorui Wang, Xiaoyu Zheng, Fanyun Meng, Kang Wang, Xincheng Wu, Dexin Yu   +5 more
semanticscholar   +1 more source

Temporal Heterogeneity in Land Use Effects on Urban Rail Transit Ridership—Case of Beijing, China

Land
Understanding how land use affects urban rail transit (URT) ridership is essential for facilitating URT usage. While previous studies have explored the way that land use impacts URT ridership, few have figured out how this impact evolves over time ...
Siyang Liu, Jian Rong, Chenjing Zhou, Yacong Gao, Lu Xing   +4 more
semanticscholar   +1 more source

Public Transit Ridership Forecasting Models

2021
Ipsita Banerjee, Deepa L, Abdul Rawoof Pinjari   +2 more
openaire   +1 more source

Effect of shared micromobility on public transit ridership in metro and medium-sized urban areas in the United States: complementary or substitutionary?

Transportation planning and technology (Print)
Bike and scooter shares are popular in many U.S. cities and are expected to supplement the local public transportation system by offering first- and last-mile connections, which can ultimately increase public transit ridership.
Kwangyul Choi, John Park
semanticscholar   +1 more source