An analysis of Metro ridership at the station-to-station level in SeoulChoi Jinkyung, Yong‐Jae Lee, Tae‐Wan Kim, Keemin Sohn2011-08-24articleTransportation197 citationsclosedNo readable copy stored yet — this record is metadata only.Transportation Planning and OptimizationUrban Transport and AccessibilityTransportation and Mobility InnovationsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 197 citations exist upstream.References1998Principles and Practice of Structural Equation Modeling1997Travel demand and the 3Ds: Density, diversity, and design2006A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels2008Growing cooler evidence on urban development and climate change2004Factors influencing light-rail station boardings in the United States1996Walking Distances to and from Light-Rail Transit Stations1998Public Transportation Access2009The relationship between the built environment and nonwork travel: A case study of Northern CaliforniaCited by2019Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data2022Time-varying and non-linear associations between metro ridership and the built environment2020Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications2014Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership2013Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models2020The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou2021Nonlinear effects of built environment on intermodal transit trips considering spatial heterogeneity2018How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas