Results 61 to 70 of about 1,856 (116)

Forecasting Method for Urban Rail Transit Ridership at Station Level Using Back Propagation Neural Network

Discrete Dynamics in Nature and Society, 2016
Direct forecasting method for Urban Rail Transit (URT) ridership at the station level is not able to reflect nonlinear relationship between ridership and its predictors.
Junfang Li, Minfeng Yao, Qian Fu
doaj   +1 more source

Exploration of Travel Patterns of Intercity Metro Passengers—A Case Study in Changsha–Zhuzhou–Xiangtan Metropolitan Area, China

Applied Sciences
(1) Background: Rapid urban growth in China has extended rail systems to neighboring cities to meet intercity travel needs, making it important to understand intercity travel patterns.
Yao Xie, Biao Cheng, Wei Ren, Cuizhu Zhou, Chenhui Liu   +4 more
doaj   +1 more source

Rail transit ridership changes in COVID-19: Lessons for station area planning in California

Journal of Urban Mobility
Emerging evidence suggests that the recovery of transit ridership post-COVID has been uneven, especially for rail transit. This study aims to understand the station area land use, built form, and transit network characteristics that explain station-level
Meiqing Li, Daniel A. Rodriguez, Susie Pike, Michael McNally   +3 more
doaj   +1 more source

Spatial Modeling of Travel Demand Accounting for Multicollinearity and Different Sampling Strategies: A Stop-Level Case Study

Journal of Advanced Transportation
Stop-level ridership data serve as a basis for various studies toward increasing bus patronage and promoting sustainable land use planning. To address limitations found in previous studies, this study proposes a novel approach based on Geographically ...
Samuel de França Marques, Cira Souza Pitombo, J. Jaime Gómez-Hernández   +2 more
doaj   +1 more source

Which Distance-Decay Function Can Improve the Goodness of Fit of the Metro Station Ridership Regression Model? A Case Study of Beijing

Buildings
Incorporating the distance-decay effects of facility points into the analysis of metro ridership helps generate more precise and actionable strategies for station area renewal.
Zhenbao Wang, Shihao Li, Yushuo Zhang
doaj   +1 more source

Benefits from a new transit line: Exploring the impact of rare users and spatially heterogeneous variations in intensity of use

Journal of Public Transportation
What are the city-wide benefits of introducing a new transit mode? Justification of a new transit mode is often based on claims of transformational change regarding mode share, ridership, or passenger-kilometers travelled (PKT).
Durba Kundu, Somwrita Sarkar, Emily Moylan   +2 more
doaj   +1 more source

Simulating the effect of strategies to increase transit ridership by reallocating bus service: Two case studies

Journal of Public Transportation
We evaluate three strategies that transit operators might consider to increase ridership: a) increasing service on bus routes serving the highest share of low-income riders, b) increasing service on those bus routes with the highest ridership, and c ...
Gregory D. Erhardt, Vedant S. Goyal, Josephine Kressner, Simon J. Berrebi, Candace Brakewood, Kari E. Watkins   +5 more
doaj   +1 more source

Exploring the Effect of Built Environment Factors on Metro Station Ridership during the Holiday Season – A Case Study of the Beijing Metro System during the Chinese National Day Holidays

Promet (Zagreb)
Previous studies have primarily focused on the effect of the built environment on ridership during weekdays and weekends. This paper aims to investigate the spatial heterogeneity of the effect of built environment factors on ridership at metro stations ...
Zhenbao WANG, Yanfang HE, Xueqiao ZHAO, Yuqi LIANG, Shihao LI   +4 more
doaj   +1 more source

Agency specific insights into bus ridership determinants using a Bayesian framework

Discover Analytics
Understanding the factors that affect bus ridership, particularly at the agency level, is essential for improving urban mobility and sustainability. This study addresses a significant gap in transit literature by proposing a Bayesian method to identify ...
Harshani De Silva, Narendra Malalgoda, Saman Muthukumarana   +2 more
doaj   +1 more source

Spatial heterogeneity of the nonlinear impact of built environment on suburban railway commuting willingness: Taking Guiyang Loop Line Railway as an example. [PDF]

PLoS One
Chen R, Zhao H.
europepmc   +1 more source