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How weather and built environment factors influence e-scooter ridership: Understanding non-linear and time varying effects
16 references·3 citing·45 second hopsampled
How weather and built environment factors influence e-scooter ridership: Understanding non-linear and time varying effects (2024)How weather and built environment factors…Nonlinear and threshold effects of the built environment on e-scooter sharing ridership (2022)Nonlinear and threshold effec…Spatial analysis of shared e-scooter trips (2021)Spatial analysis of shared e-…Scootin’ in the rain: Does weather affect micromobility? (2021)Scootin’ in the rain: Does we…How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones (2021)How does weather affect bikes…Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction (2021)Examining nonlinear and inter…Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)Examining non-linear built en…E-scooters and sustainability: Investigating the relationship between the density of E-scooter trips and characteristics of sustainable urban development (2020)E-scooters and sustainability…Weather and cycling in New York: The case of Citibike (2019)Weather and cycling in New Yo…Transportation, Land Use, and Environmental Planning (2019)Transportation, Land Use, and…Weather and cycling: Mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane (2018)Weather and cycling: Mining b…Impacts of weather on public transport ridership: Results from mining data from different sources (2016)Impacts of weather on public …Key research themes on urban space, scale, and sustainable urban mobility (2014)Key research themes on urban …Impact of weather on urban transit ridership (2014)Impact of weather on urban tr…Comparing measures of urban land use mix (2013)Comparing measures of urban l…Weather or Not to Cycle (2011)Weather or Not to CycleExamining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)Examining the Impacts of Resi…Investigating user preferences for dockless bike- and electric bike-sharing through tracking usage patterns (2025)Investigating user preference…E-scooter dynamics in a tourism-driven city: Exploring spatiotemporal patterns and nonlinear effects of the built environment in Antalya, Türkiye (2025)E-scooter dynamics in a touri…Understanding how street environment affects e-scooter mode choice through travel experience (2024)Understanding how street envi…Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Measuring the impact of opening the London shared bicycle scheme to casual users (2012)Mapping ridership using crowdsourced cycling data (2016)Improving the sustainability of integrated transportation system with bike-sharing: A spatial agent-based approach (2018)On the measurement of inequality (1970)Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment (2010)Revealing travel patterns and city structure with taxi trip data (2015)The 15-minute walkable neighborhoods: Measurement, social inequalities and implications for building healthy communities in urban China (2019)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Mail and Telephone Surveys: The Total Design Method. (1979)Mail and Telephone Surveys: The Total Design Method. (1982)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)The Built Environment and Obesity (2007)Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study (2016)Assessing the Impact of Weather on Traffic Intensity (2009)Modelling the impact of weather conditions on active transportation travel behaviour (2011)Impact of Everyday Weather on Individual Daily Travel Behaviours in Perspective: A Literature Review (2012)The impact of real-time information on bus ridership in New York City (2015)Weather, travel mode choice, and impacts on subway ridership in Beijing (2020)Bikeshare and subway ridership changes during the COVID-19 pandemic in New York City (2021)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)Investigating walking accessibility to recreational amenities for elderly people in Nanjing, China (2019)Exploring the Nonlinear Relationship between the Built Environment and Active Travel in the Twin Cities (2020)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Estimation of the determinants of bicycle mode share for the journey to work using census data (2007)Commuting by Bicycle: An Overview of the Literature (2009)A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)Big data in public transportation: a review of sources and methods (2019)Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system (2019)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions (2019)Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava) (2020)How derived is the demand for travel? Some conceptual and measurement considerations (2001)Travel and the Built Environment: A Synthesis (2001)Model-Dependent Variance Inflation Factor Cutoff Values (2002)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Time-varying and non-linear associations between metro ridership and the built environment (2022)Social Capital and the Built Environment: The Importance of Walkable Neighborhoods (2003)Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework (2023)Linking objectively measured physical activity with objectively measured urban form (2005)Impact of road features on shared e-scooter trip volume: A study based on multiple membership multilevel model (2022)An integrated interval type-2 fuzzy BWM-MARCOS model for location selection of e-scooter sharing stations: The case of a university campus (2023)
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References

  • 2009Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings1,080 cited
  • 2013Comparing measures of urban land use mix409 cited
  • 2020Examining non-linear built environment effects on elderly’s walking: A random forest approach352 cited
  • 2016Impacts of weather on public transport ridership: Results from mining data from different sources220 cited
  • 2014Impact of weather on urban transit ridership198 cited
  • 2011Weather or Not to Cycle186 cited
  • 2020E-scooters and sustainability: Investigating the relationship between the density of E-scooter trips and characteristics of sustainable urban development174 cited
  • 2014Key research themes on urban space, scale, and sustainable urban mobility158 cited
  • 2021Spatial analysis of shared e-scooter trips154 cited
  • 2019Weather and cycling in New York: The case of Citibike103 cited
  • 2021How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones90 cited
  • 2019Transportation, Land Use, and Environmental Planning88 cited
  • 2018Weather and cycling: Mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane83 cited
  • 2021Scootin’ in the rain: Does weather affect micromobility?

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83 cited
  • 2022Nonlinear and threshold effects of the built environment on e-scooter sharing ridership77 cited
  • 2021Examining nonlinear and interaction effects of multiple determinants on airline travel satisfaction60 cited
  • Cited by

    • 2024Understanding how street environment affects e-scooter mode choice through travel experience11 cited
    • 2025Investigating user preferences for dockless bike- and electric bike-sharing through tracking usage patterns10 cited
    • 2025E-scooter dynamics in a tourism-driven city: Exploring spatiotemporal patterns and nonlinear effects of the built environment in Antalya, Türkiye3 cited