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Exploring the influencing factors on demand-responsive customized bus ridership using multi-source data
16 references·1 citing·44 second hop
Exploring the influencing factors on demand-responsive customized bus ridership using multi-source data (2021)Exploring the influencing factors on dema…The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou (2020)The varying patterns of rail …Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China (2020)Spatially varying impacts of …Examining the relationship between built environment and metro ridership at station-to-station level (2020)Examining the relationship be…Understanding the impact of built environment on metro ridership using open source in Shanghai (2019)Understanding the impact of b…How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds (2019)How does the station-area bui…Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City (2019)Gender gap generators for bik…Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Discovering the spatio-tempor…A two-phase optimization model for the demand-responsive customized bus network design (2019)A two-phase optimization mode…Built environment and public bike usage for metro access: A comparison of neighborhoods in Beijing, Taipei, and Tokyo (2018)Built environment and public …Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal (2016)Examining the influence of st…A survey of Demand Responsive Transport in Great Britain (2013)A survey of Demand Responsive…Pedestrian Environments and Transit Ridership (2009)Pedestrian Environments and T…Distance-Measure Impacts on the Calculation of Transport Service Areas Using GIS (2008)Distance-Measure Impacts on t…The relationship between urban form and station boardings for Bogotá’s BRT (2007)The relationship between urba…Demand responsive transport: towards the emergence of a new market segment (2004)Demand responsive transport: …Statistical and Econometric Methods for Transportation Data Analysis (2003)Statistical and Econometric M…Heterogeneous impacts of the built environment on survival of customized bus services across the downtown and suburbs (2024)Heterogeneous impacts of the …Public Transportation Access (1998)Travel by Design (2001)Built environments and mode choice: toward a normative framework (2002)Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership (2014)Dynamic cities: Location-based accessibility modelling as a function of time (2018)Exploring the non-linear associations between spatial attributes and walking distance to transit (2019)The Scientific Use of Factor Analysis in Behavioral and Life Sciences (1978)Travel demand and the 3Ds: Density, diversity, and design (1997)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters (2012)Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models (2013)Transit-Oriented Development in the United States: Experiences, Challenges, and Prospects (2004)Travel and the Built Environment (2010)Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo (2018)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Linking urban transport and land use in developing countries (2013)Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications (2020)Time-varying and non-linear associations between metro ridership and the built environment (2022)Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis (1998)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Nonlinear effects of built environment on intermodal transit trips considering spatial heterogeneity (2021)Analysis of a new public-transport-service concept: Customized bus in China (2015)Customized bus service design for jointly optimizing passenger-to-vehicle assignment and vehicle routing (2017)A Multi-Objective Robust Optimization Model for Customized Bus Routes (2020)A systematic review of prediction methods for emergency management (2021)A survey on demand-responsive public bus systems (2022)Users of the world, unite! The challenges and opportunities of Social Media (2009)Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning (2020)Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors (2021)Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership (2022)A learning-based transportation oriented simulation system (2003)CO2 emissions from fuel combustion: highlights (2009)Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen (2020)Informal transport: A global perspective (2007)Flexible transport services: A new market opportunity for public transport (2009)Multilevel modelling of Demand Responsive Transport (DRT) trips in Greater Manchester based on area-wide socio-economic data (2013)Investigating the contribution of Demand Responsive Transport to a sustainable local public transport system (2014)Exploring the propensity to travel by demand responsive transport in the rural area of Lincolnshire in England (2015)Obesity relationships with community design, physical activity, and time spent in cars (2004)Service Quality Attributes Affecting Customer Satisfaction for Bus Transit (2007)Public transit user satisfaction: Variability and policy implications (2008)
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References

  • 2003Statistical and Econometric Methods for Transportation Data Analysis1,901 cited
  • 2019How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds311 cited
  • 2020Examining the relationship between built environment and metro ridership at station-to-station level280 cited
  • 2019A two-phase optimization model for the demand-responsive customized bus network design226 cited
  • 2020Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China225 cited
  • 2008Distance-Measure Impacts on the Calculation of Transport Service Areas Using GIS218 cited
  • 2019Understanding the impact of built environment on metro ridership using open source in Shanghai214 cited
  • 2019Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data195 cited
  • 2007The relationship between urban form and station boardings for Bogotá’s BRT172 cited
  • 2013A survey of Demand Responsive Transport in Great Britain162 cited
  • 2004Demand responsive transport: towards the emergence of a new market segment160 cited
  • 2020The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou157 cited
  • 2019Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City

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150 cited
  • 2016Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal145 cited
  • 2018Built environment and public bike usage for metro access: A comparison of neighborhoods in Beijing, Taipei, and Tokyo143 cited
  • 2009Pedestrian Environments and Transit Ridership119 cited
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    • 2024Heterogeneous impacts of the built environment on survival of customized bus services across the downtown and suburbs5 cited