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The effects of the urban built environment on public transport ridership: similarities and differences
16 references·14 citing·45 second hop
The effects of the urban built environment on public transport ridership: similarities and differences (2023)The effects of the urban built environmen…Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Nonlinear and synergistic eff…Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning (2020)Threshold and moderating effe…Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Prediction and behavioral ana…Examining the relationship between built environment and metro ridership at station-to-station level (2020)Examining the relationship be…Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen (2020)Elaborating non-linear associ…Understanding the usage of dockless bike sharing in Singapore (2018)Understanding the usage of do…Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Spatial variations in urban p…Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo (2018)Applying gradient boosting de…Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing (2017)Bicycle-metro integration in …Spatial variation of the urban taxi ridership using GPS data (2015)Spatial variation of the urba…Application of geographically weighted regression to the direct forecasting of transit ridership at station-level (2012)Application of geographically…Transit-oriented development in a high-density city: Identifying its association with transit ridership in Seoul, Korea (2010)Transit-oriented development …Urban Transit Systems and Technology (2008)Urban Transit Systems and Tec…Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas (2008)Nature and/or nurture? Analyz…Urban Transit Systems and Technology (2007)Urban Transit Systems and Tec…The demand for public transport: a practical guide (2004)The demand for public transpo…How does built environment influence outdoor jogging activities in high-density cities? New insights using machine learning from 2D/3D perspectives (2025)How does built environment in…Exploring the Joint Influence of Built Environment Factors on Urban Rail Transit Peak-Hour Ridership Using DeepSeek (2025)Exploring the Joint Influence…Changes in the predictors of transit ridership in post-COVID-19 US metropolitan areas (2025)Changes in the predictors of …Unveiling transportation disparities: investigating accessibility gaps in metropolitan cities using GIS—a case study of Alexandria, Egypt (2024)Unveiling transportation disp…Understanding the interplay among urban public transport modes: Spatial variation and built environment effects (2024)Understanding the interplay a…Uncovering travel communities among older and younger adults using smart card data (2024)Uncovering travel communities…The influence of residential location and public transit options on commuters’ intention to use travel apps for different travel purposes (2024)The influence of residential …Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective (2024)Temporal dynamics of public t…Investigating urban mobility through multi-source public transportation data: A multiplex network perspective (2024)Investigating urban mobility …Investigating the Key Factors Affecting Public Transport Ridership in Developing Countries through Structural Equation Modeling (2024)Investigating the Key Factors…How does the built environment affect intermodal transit demand across different spatiotemporal contexts? (2024)How does the built environmen…Exploring the association between multi-mode transport and the built environment: A comparative study of metro, bus, taxi, and shared bike use (2024)Exploring the association bet…Exploring non-linear urban vibrancy dynamics in emerging new towns: A case study of the Wuhan metropolitan area (2024)Exploring non-linear urban vi…Comparative analysis of nonlinear impacts on the built environment within station areas with different metro ridership segments (2024)Comparative analysis of nonli…The measurement of urban travel demand (1974)Public transport values of time (2004)Meta-analysis of public transport demand (2007)Passenger perceptions and the ideal urban bus journey experience (2007)Transport and its infrastructure (2007)A review of British evidence on time and service quality valuations (2001)Modeling the commute mode share of transit using continuous accessibility to jobs (2015)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Who left riding transit? Examining socioeconomic disparities in the impact of COVID-19 on ridership (2020)Spatial Econometrics: Methods and Models (1988)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)The role of distance in peri-urban national park use: Who visits them and how far do they travel? (2015)Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China (2016)Fast Geographically Weighted Regression (FastGWR): a scalable algorithm to investigate spatial process heterogeneity in millions of observations (2018)Mixed land-uses and commuting: Evidence from the American Housing Survey (1996)Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment: A Synthesis (2001)Advance transit oriented development typology: case study in Brisbane, Australia (2013)Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul (2015)Central Places in Southern Germany (1967)Travel and the Built Environment (2010)Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (2019)Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults (2021)How Accessibility Shapes Land Use (1959)Understanding intention and behavior toward sustainable usage of bike sharing by extending the theory of planned behavior (2019)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Dockless bike-sharing systems: what are the implications? (2020)Conditional logit analysis of qualitative choice behavior (1972)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Mixed MNL models for discrete response (2000)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Predicting the travel mode choice with interpretable machine learning techniques: A comparative study (2022)A learning-based transportation oriented simulation system (2003)CO2 emissions from fuel combustion: highlights (2009)The essentials of factor analysis (1970)Spatial Development Patterns and Public Transport: The Application of an Analytical Model in the Netherlands (1999)Transit-oriented development: A review of research achievements and challenges (2019)Environmental factors for outdoor jogging in Beijing: Insights from using explainable spatial machine learning and massive trajectory data (2023)Exploring the spatiotemporal patterns and correlates of urban vitality: Temporal and spatial heterogeneity (2023)Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality (2024)Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Recent Developments in Bus Rapid Transit: A Review of the Literature (2010)BRT TOD: Leveraging transit oriented development with bus rapid transit investments (2014)
this work references cited by second hop

References

  • 2007Urban Transit Systems and Technology524 cited
  • 2004The demand for public transport: a practical guide452 cited
  • 2018Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo446 cited
  • 2018Understanding the usage of dockless bike sharing in Singapore421 cited
  • 2010Transit-oriented development in a high-density city: Identifying its association with transit ridership in Seoul, Korea420 cited
  • 2020Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models406 cited
  • 2008Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas401 cited
  • 2012Application of geographically weighted regression to the direct forecasting of transit ridership at station-level377 cited
  • 2020Examining the relationship between built environment and metro ridership at station-to-station level280 cited
  • 2021Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree280 cited
  • 2015Spatial variation of the urban taxi ridership using GPS data256 cited
  • 2018Spatial variations in urban public ridership derived from GPS trajectories and smart card data251 cited
  • 2017Bicycle-metro integration in a growing city: The determinants of cycling as a transfer mode in metro station areas in Beijing249 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2020Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning226 cited
  • 2008Urban Transit Systems and Technology202 cited
  • 2020Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen199 cited
  • Cited by

    • 2024Investigating urban mobility through multi-source public transportation data: A multiplex network perspective34 cited
    • 2024Exploring non-linear urban vibrancy dynamics in emerging new towns: A case study of the Wuhan metropolitan area32 cited
    • 2024Uncovering travel communities among older and younger adults using smart card data22 cited
    • 2024Investigating the Key Factors Affecting Public Transport Ridership in Developing Countries through Structural Equation Modeling20 cited
    • 2024Temporal dynamics of public transportation ridership in Seoul before, during, and after COVID-19 from urban resilience perspective20 cited
    • 2024Exploring the association between multi-mode transport and the built environment: A comparative study of metro, bus, taxi, and shared bike use17 cited
    • 2025How does built environment influence outdoor jogging activities in high-density cities? New insights using machine learning from 2D/3D perspectives12 cited
    • 2024Comparative analysis of nonlinear impacts on the built environment within station areas with different metro ridership segments12 cited
    • 2024Understanding the interplay among urban public transport modes: Spatial variation and built environment effects11 cited
    • 2024Unveiling transportation disparities: investigating accessibility gaps in metropolitan cities using GIS—a case study of Alexandria, Egypt10 cited
    • 2024The influence of residential location and public transit options on commuters’ intention to use travel apps for different travel purposes9 cited
    • 2024How does the built environment affect intermodal transit demand across different spatiotemporal contexts?8 cited
    • 2025Exploring the Joint Influence of Built Environment Factors on Urban Rail Transit Peak-Hour Ridership Using DeepSeek6 cited
    • 2025Changes in the predictors of transit ridership in post-COVID-19 US metropolitan areas5 cited