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Machine learning-based analysis of environmental impact on cycling behavior: A study across multiple Nordic cities
16 references·0 citing·50 second hopsampled
Machine learning-based analysis of environmental impact on cycling behavior: A study across multiple Nordic cities (2025)Machine learning-based analysis of enviro…Deciphering urban cycling: Analyzing the nonlinear impact of street environments on cycling volume using crowdsourced tracker data and machine learning (2025)Deciphering urban cycling: An…Interventions to increase active travel: A systematic review (2024)Interventions to increase act…Exploring students' choice of active travel to school in different spatial environments: A case study in a mountain city (2024)Exploring students' choice of…Examining active travel behavior through explainable machine learning: Insights from Beijing, China (2024)Examining active travel behav…The nonlinear relationship between the active travel behavior of older adults and built environments: A comparison between an inner-city area and a suburban area (2023)The nonlinear relationship be…Bias and precision of crowdsourced recreational activity data from Strava (2023)Bias and precision of crowdso…Assessing impacts of objective features and subjective perceptions of street environment on running amount: A case study of Boston (2023)Assessing impacts of objectiv…Assess the non-linear relationship between built environment and active travel around light-rail transit stations (2023)Assess the non-linear relatio…More than walking and cycling: What is ‘active travel’? (2022)More than walking and cycling…Gender differences in active travel among older adults: Non-linear built environment insights (2022)Gender differences in active …Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach (2022)Exploring non-linear built en…The climate change mitigation effects of daily active travel in cities (2021)The climate change mitigation…Active travel and the built environment: A theoretical model and multidimensional evidence (2021)Active travel and the built e…Understanding cycling travel distance: The case of Medellin city (Colombia) (2020)Understanding cycling travel …Active travel as a pro-environmental behaviour: An integrated framework (2020)Active travel as a pro-enviro…A comparison of cycling cultures in Stockholm and Copenhagen (2019)A comparison of cycling cultu…Car use: lust and must. 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Insights from large-scale city images and GPS trajectories (2024)17. A Value for n-Person Games (1953)Multilevel modelling of built environment characteristics related to neighbourhood walking activity in older adults (2005)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Promoting Sustainable Transport: A Systematic Review of Walking and Cycling Adoption Using the COM-B Model (2025)
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References

  • 2021The climate change mitigation effects of daily active travel in cities313 cited
  • 2023Assessing impacts of objective features and subjective perceptions of street environment on running amount: A case study of Boston186 cited
  • 2022More than walking and cycling: What is ‘active travel’?136 cited
  • 2022Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach119 cited
  • 2023Bias and precision of crowdsourced recreational activity data from Strava97 cited
  • 2022Gender differences in active travel among older adults: Non-linear built environment insights93 cited
  • 2019A comparison of cycling cultures in Stockholm and Copenhagen81 cited
  • 2023The nonlinear relationship between the active travel behavior of older adults and built environments: A comparison between an inner-city area and a suburban area66 cited
  • 2024Examining active travel behavior through explainable machine learning: Insights from Beijing, China60 cited
  • 2023Assess the non-linear relationship between built environment and active travel around light-rail transit stations57 cited
  • 2020Active travel as a pro-environmental behaviour: An integrated framework51 cited
  • 2024Interventions to increase active travel: A systematic review45 cited
  • 2021Active travel and the built environment: A theoretical model and multidimensional evidence40 cited

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  • 2024Exploring students' choice of active travel to school in different spatial environments: A case study in a mountain city37 cited
  • 2025Deciphering urban cycling: Analyzing the nonlinear impact of street environments on cycling volume using crowdsourced tracker data and machine learning30 cited
  • 2020Understanding cycling travel distance: The case of Medellin city (Colombia)30 cited
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