Mapping the demand and potential for cycling in Toronto

Many municipalities are investing in cycling infrastructure; these efforts increase safety and comfort, and typically occur in central neighborhoods as they have a higher proportion of cyclists. However, targeting cycling investments in neighborhoods with a strong latent demand for cycling, regardless of their current cycling mode share, may also increase cycling adoption. Accordingly, the aim of this paper is to identify areas that present the highest potential for cycling uptake. To this end, the authors use data from the most recent 2016 Transportation Tomorrow Survey in Toronto and conduct a generalized linear model to uncover the sociodemographic, behavioral, and land use characteristics that influence cycling mode share. The authors identify areas with a lower cycling mode share than predicted by their model and argue that these present a higher potential for cycling. Governments interested in increasing cycling mode share should consider expanding their efforts and investments beyond central neighborhoods, as those with a latent demand for cycling may also yield positive results for cycling mode share.


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  • Accession Number: 01769260
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 13 2021 3:01PM