What influences Metro station ridership in China? Insights from Nanjing
Cities, 2013Abstract China is undertaking one of the most ambitious rail expansions in the world. This paper investigated the impacts of factors on ridership within Metro stations’ pedestrian catchment area (PCA) in Nanjing, China. Direct ridership model was developed to explain the ridership at 55 Metro stations using a Geographic Information System (GIS) and ...
Zhao, Jinbao +3 more
exaly +3 more sources
Understanding the interplay between bus, metro, and cab ridership dynamics in Shenzhen, China
Transactions in GIS, 2018AbstractThe most common mass transit modes in metropolitan cities include buses, subways, and taxicabs, each of which contribute to an interconnected complex network that delivers urban dwellers to their destinations. Understanding the intertwined usages of these three transit modes at different places and time allows for better sensing of urban ...
Mengxue Yue +5 more
openaire +1 more source
Spatiotemporal patterns and factors influencing metro ridership of people with disabilities
Transportation Research Part D: Transport and Environment202410 bcch ; Not applicable ; Self-funded ; Published ; 24 months ; Green (AAM)
Zheng, J +5 more
openaire +2 more sources
A Graph Deep Learning Model for Station Ridership Prediction in Expanding Metro Networks
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AIUrbanAI’24, October 29–November 01, 2024, Atlanta, GA ; Due to their reliability, efficiency, and environmental friendliness, metro systems have become a crucial solution to transportation challenges associated with urbanization. Many countries have constructed or expanded their metro networks over the past decades.
Fangyi Ding +5 more
openaire +2 more sources
Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023Khaled Saleh +2 more
openaire +1 more source
Relationship between built environment and metro ridership: machine learning analysis
Canadian Journal of Civil EngineeringThis study examines the driving factors and nonlinear effects of built environment (BE) on passenger flow within the influence areas of rail transit stations. A method is proposed to classify stations and characterize their passenger flow patterns, considering spatial connectivity and transit-oriented development-BE development ...
Li Jiang +6 more
openaire +1 more source
Spatiotemporal Heterogeneity of Metro Ridership under Major Pandemic Conditions
CICTP 2022, 2022Xiaoyi Guo +3 more
openaire +1 more source
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Transportation Research, Part D: Transport and Environment, 2023Bozhezi Peng, Aoyong Li, Tao Wang
exaly
WGCN: A Novel Wavelet Graph Neural Network for Metro Ridership Prediction
2023Junjie Tang +3 more
openaire +1 more source