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Measuring low-stress connectivity in terms of bike-accessible jobs and potential bike-to-work trips: A case study evaluating alternative bike route alignments in northern Delaware
10 references·14 citing·39 second hop
Measuring low-stress connectivity in terms of bike-accessible jobs and potential bike-to-work trips: A case study evaluating alternative bike route alignments in northern Delaware (2018)Measuring low-stress connectivity in term…The propensity to cycle tool: An open source online system for sustainable transport planning (2017)The propensity to cycle tool:…Network Connectivity for Low-Stress Bicycling (2016)Network Connectivity for Low-…Four Types of Cyclists? (2013)Four Types of Cyclists?Where do cyclists ride? A route choice model developed with revealed preference GPS data (2012)Where do cyclists ride? 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this work references cited by second hop

References

  • 2012Where do cyclists ride? A route choice model developed with revealed preference GPS data693 cited
  • 2010Motivators and deterrents of bicycling: comparing influences on decisions to ride577 cited
  • 2009Measuring non-motorized accessibility: issues, alternatives, and execution345 cited
  • 1997Real-Time Human Perceptions: Toward a Bicycle Level of Service342 cited
  • 2013Four Types of Cyclists?325 cited
  • 1998Development of the Bicycle Compatibility Index180 cited
  • 2007Design manual for bicycle traffic175 cited
  • 2012Low-Stress Bicycling and Network Connectivity163 cited
  • 2016Network Connectivity for Low-Stress Bicycling124 cited
  • 2017The propensity to cycle tool: An open source online system for sustainable transport planning121 cited

Cited by

  • 2021Location Evaluation of Bicycle Sharing System Stations and Cycling Infrastructures with Best Worst Method Using GIS26 cited
  • 2022Investigating tools for evaluating service and improvement opportunities on bicycle routes in Ohio, United States22 cited
  • 2024A scoping review on cycling network connectivity and its effects on cycling22 cited
  • 2020Commuting patterns and bicycle level of traffic stress (LTS): Insights from spatially aggregated data in Franklin County, Ohio20 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2021Mining dockless bikeshare data for insights into cyclist behavior and preferences: Evidence from the Boston region20 cited
  • 2021Spatial interactions of shared e-scooter trip generation and vulnerable road user crash frequency19 cited
  • 2020Are they really interested but concerned? A mixed methods exploration of the Geller bicyclist typology15 cited
  • 2023Slope stress criteria as a complement to traffic stress criteria, and impact on high comfort bicycle accessibility14 cited
  • 2021An empirical reappraisal of the level of traffic stress framework for segments12 cited
  • 2024When bike lanes are not enough: The role of connected low-stress cycling infrastructure on cycle commuting in urban Aotearoa New Zealand10 cited
  • 2023Exploring Neighborhood Differences in Bicycling Accessibility to Physical and Virtual Workplaces6 cited
  • 2021Impact of One-Way Streets and Contraflow on Low-Stress Bicycle Network Connectivity6 cited
  • 2018JTLU special issue editorial: Bicycling in changing urban regions5 cited
  • 2025Modelling the impact of lower speed limits on residential streets for cyclist level of traffic stress and car travel time in Greater Melbourne3 cited