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Predicting active travel durations in Tehran: A multilayer perceptron approach
16 references·0 citing·48 second hop
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References

  • 2009Influences of Built Environments on Walking and Cycling: Lessons from Bogotá832 cited
  • 2015Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility489 cited
  • 2020Examining non-linear built environment effects on elderly’s walking: A random forest approach352 cited
  • 2012Independent Mobility and Mode Choice for School Transportation: A Review and Framework for Future Research282 cited
  • 2015Active accessibility: A review of operational measures of walking and cycling accessibility270 cited
  • 2021Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach250 cited
  • 2019Active travel for active ageing in China: The role of built environment248 cited
  • 2016International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling: IPEN adult study246 cited
  • 2008Public health: Seattle and King County's push for the built environment.189 cited
  • 2014Associations between active commuting, body fat, and body mass index: population based, cross sectional study in the United Kingdom185 cited
  • 2020Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway175 cited
  • 2018Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling174 cited
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Exploring the Nonlinear Relationship between the Built Environment and Active Travel in the Twin Cities
153 cited
  • 2012Taking Up Cycling After Residential Relocation145 cited
  • 2014Association between perceived urban built environment attributes and leisure-time physical activity among adults in Hangzhou, China112 cited
  • 2021Chronic disease and where you live: Built and natural environment relationships with physical activity, obesity, and diabetes106 cited
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