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Non-linear relationship between built environment and non-motorized travel efficiency under the traffic micro-circulation model
16 references·0 citing·50 second hopsampled
Non-linear relationship between built environment and non-motorized travel efficiency under the traffic micro-circulation model (2025)Non-linear relationship between built env…Nonlinear effects of built environment features on metro ridership: An integrated exploration with machine learning considering spatial heterogeneity (2023)Nonlinear effects of built en…Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis (2022)Understanding cycling distanc…Nonlinear and threshold effects of traffic condition and built environment on dockless bike sharing at street level (2022)Nonlinear and threshold effec…Gender differences in active travel among older adults: Non-linear built environment insights (2022)Gender differences in active …Nonlinear and interaction effects of land use and motorcycles/E-bikes on car ownership (2021)Nonlinear and interaction eff…Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China (2021)Examining non-linear associat…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 …Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan (2020)Influences of rural built env…Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Identifying the nonlinear rel…Providing quantified evidence to policy makers for promoting bike-sharing in heavily air-polluted cities: A mode choice model and policy simulation for Taiyuan-China (2018)Providing quantified evidence…Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo (2018)Applying gradient boosting de…Examining tourists' long-distance transportation mode choices using a Multinomial Logit regression model (2015)Examining tourists' long-dist…Commuting mode choice in transit oriented development: Disentangling the effects of competitive neighbourhoods, travel attitudes, and self-selection (2015)Commuting mode choice in tran…Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership (2014)Exploring the impacts of land…Travel and the Built Environment (2010)Travel and the Built Environm…Influences of Built Environments on Walking and Cycling: Lessons from Bogotá (2009)Influences of Built Environme…Travel demand and the 3Ds: Density, diversity, and design (1997)Social Cohesion, Social Capital and the Neighbourhood (2001)Correlation or causality between the built environment and travel behavior? Evidence from Northern California (2005)The impacts of built environment characteristics of rail station areas on household travel behavior (2018)Better understanding the choice of travel mode by urban residents: New insights from the catchment areas of rail transit stations (2019)How the built environment promotes public transportation in Wuhan: A multiscale geographically weighted regression analysis (2022)Spatial Econometrics: Methods and Models (1988)The Analysis of Spatial Association by Use of Distance Statistics (1992)Residential Relocation and Changes in Urban Travel: Does Neighborhood-Scale Urban Form Matter? (2003)What determines rail transit passenger volume? Implications for transit oriented development planning (2017)How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas (2018)Statistical Methods for Meta-Analysis (1988)Introduction to Meta‐Analysis (2009)Role of Built Environments in Physical Activity, Obesity, and Cardiovascular Disease (2012)City planning and population health: a global challenge (2016)Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities (2021)Introduction to Meta‐Analysis (2021)Central Places in Southern Germany (1967)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)Mixed MNL models for discrete response (2000)The Mixed Logit model: The state of practice (2003)Applied Choice Analysis (2005)Spatio-Temporal Trends of E-Bike Sharing System Deployment: A Review in Europe, North America and Asia (2020)The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the transportation academic literature (2020)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Users of the world, unite! The challenges and opportunities of Social Media (2009)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China (2021)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)How the built environment affects physical activity (2002)Built Environment Correlates of Walking (2008)The role of objective and perceived built environments in affecting dockless bike-sharing as a feeder mode choice of metro commuting (2021)On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice (2023)Bike Share: A Synthesis of the Literature (2013)Bike share’s impact on car use: Evidence from the United States, Great Britain, and Australia (2014)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Non-linear associations between zonal built environment attributes and transit commuting mode choice accounting for spatial heterogeneity (2021)Nonlinear effects of built environment on intermodal transit trips considering spatial heterogeneity (2021)Bike Share Usage and the Built Environment: A Review (2022)17. A Value for n-Person Games (1953)Machine learning techniques for evaluating the nonlinear link between built-environment characteristics and travel behaviors: A systematic review (2023)Using machine-learning models to understand nonlinear relationships between land use and travel (2023)Examining active travel behavior through explainable machine learning: Insights from Beijing, China (2024)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Shaping cities for health: complexity and the planning of urban environments in the 21st century (2012)
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References

  • 2010Travel and the Built Environment5,396 cited
  • 2009Influences of Built Environments on Walking and Cycling: Lessons from Bogotá832 cited
  • 2018Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo446 cited
  • 2014Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership182 cited
  • 2020The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou157 cited
  • 2022Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis150 cited
  • 2020Identifying the nonlinear relationship between free-floating bike sharing usage and built environment144 cited
  • 2018Providing quantified evidence to policy makers for promoting bike-sharing in heavily air-polluted cities: A mode choice model and policy simulation for Taiyuan-China119 cited
  • 2020Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan117 cited
  • 2015Commuting mode choice in transit oriented development: Disentangling the effects of competitive neighbourhoods, travel attitudes, and self-selection115 cited
  • 2021Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China105 cited
  • 2015Examining tourists' long-distance transportation mode choices using a Multinomial Logit regression model

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99 cited
  • 2022Gender differences in active travel among older adults: Non-linear built environment insights93 cited
  • 2022Nonlinear and threshold effects of traffic condition and built environment on dockless bike sharing at street level83 cited
  • 2021Nonlinear and interaction effects of land use and motorcycles/E-bikes on car ownership81 cited
  • 2023Nonlinear effects of built environment features on metro ridership: An integrated exploration with machine learning considering spatial heterogeneity80 cited
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