References

• 2012Application of geographically weighted regression to the direct forecasting of transit ridership at station-level377 cited
• 1997Real-Time Human Perceptions: Toward a Bicycle Level of Service354 cited
• 2009Bicycle facility planning using GIS and multi-criteria decision analysis207 cited
• 2012Determining bicycle infrastructure preferences – A case study of Dublin181 cited
• 2012Build It. But Where? The Use of Geographic Information Systems in Identifying Locations for New Cycling Infrastructure134 cited
• 2013Spatial prediction of traffic levels in unmeasured locations: applications of universal kriging and geographically weighted regression127 cited
• 2016Prioritizing new bicycle facilities to improve low-stress network connectivity113 cited
• 2009Forecasting Network Data103 cited
• 2001Contributing Factors of Annual Average Daily Traffic in a Florida County: Exploration with Geographic Information System and Regression Models93 cited
• 1997Bicycle Journey-to-Work: Travel Behavior Characteristics and Spatial Attributes91 cited
• 2013Estimating Annual Average Daily Bicyclists91 cited
• 2014What about people in cycle network planning? applying participative multicriteria GIS analysis in the case of the Athens metropolitan cycle network82 cited
• 2016Estimating traffic volume on Wyoming low volume roads using linear and logistic regression methods82 cited