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Bicycle streetscapes: a data driven approach to mapping streets based on bicycle usage
16 references·4 citing·42 second hop
Bicycle streetscapes: a data driven approach to mapping streets based on bicycle usage (2022)Bicycle streetscapes: a data driven appro…Accelerating ethics, empathy, and equity in geographic information science (2022)Accelerating ethics, empathy,…Generalized model for mapping bicycle ridership with crowdsourced data (2021)Generalized model for mapping…Strava Metro data for bicycle monitoring: a literature review (2020)Strava Metro data for bicycle…Crowdsourced data for bicycling research and practice (2020)Crowdsourced data for bicycli…Using OpenStreetMap to inventory bicycle infrastructure: A comparison with open data from cities (2019)Using OpenStreetMap to invent…Using crowdsourced data to monitor change in spatial patterns of bicycle ridership (2018)Using crowdsourced data to mo…osmdata (2017)osmdataDepicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data (2017)Depicting urban boundaries fr…Mapping ridership using crowdsourced cycling data (2016)Mapping ridership using crowd…Bikeway Networks: A Review of Effects on Cycling (2015)Bikeway Networks: A Review of…Land use effects on bicycle ridership: a framework for state planning agencies (2014)Land use effects on bicycle r…Motivators and deterrents of bicycling: comparing influences on decisions to ride (2010)Motivators and deterrents of …Built Environment Influences on Healthy Transportation Choices: Bicycling versus Driving (2010)Built Environment Influences …Pleasure Zones: Bodies, Cities, Spaces (2001)Pleasure Zones: Bodies, Citie…The Gold Coast and the Slum: A Sociological Study of Chicago's Near North Side (1983)The Gold Coast and the Slum: …Models in geography (1967)Models in geographyWeathering heights: An updated analytical model of the nonlinear effects of weather on bicycle traffic (2024)Weathering heights: An update…Scalability challenges of machine learning models for estimating walking and cycling volumes in large networks (2024)Scalability challenges of mac…Investigating the influence of spatial characteristics on cycling volume: A multi-scale geographic weighted regression approach (2024)Investigating the influence o…Functional data analysis approach for mapping change in time series: A case study using bicycle ridership patterns (2023)Functional data analysis appr…Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Commuting by Bicycle: An Overview of the Literature (2009)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Cycling towards a more sustainable transport future (2017)Cycling or walking? 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A route choice model developed with revealed preference GPS data (2012)Visualising where commuting cyclists travel using crowdsourced data (2018)Emerging data for pedestrian and bicycle monitoring: Sources and applications (2020)A GPS-based bicycle route choice model for San Francisco, California (2011)Applying mobile phone data to travel behaviour research: A literature review (2017)Biking where Black: Connecting transportation planning and infrastructure to disproportionate policing (2021)Bias and precision of crowdsourced recreational activity data from Strava (2023)Crowdsourcing Geospatial Data for Earth and Human Observations: A Review (2023)Analyzing the Contributor Activity of a Volunteered Geographic Information Project — The Case of OpenStreetMap (2012)stplanr: A Package for Transport Planning (2019)A spatial analysis of demand patterns on a bicycle sharing scheme: Evidence from London (2021)A GIS-based analysis of reachability aspects in rural public transportation (2022)The Importance of Trivial Streets: Residential Streets and Residential Segregation (1998)More Coffee, Less Crime? The Relationship between Gentrification and Neighborhood Crime Rates in Chicago, 1991 to 2005 (2011)THE PLACE OF CONTEXT: A THEORY AND STRATEGY FOR CRIMINOLOGY'S HARD PROBLEMS (2013)Individuals and their ecologies: analysing the geography of chronic illness within a multilevel modelling framework (1995)Toward a relational economic geography (2003)Reducing Disaster Risk: a challenge for development (2004)
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References

  • 2010Motivators and deterrents of bicycling: comparing influences on decisions to ride577 cited
  • 2015Bikeway Networks: A Review of Effects on Cycling465 cited
  • 2010Built Environment Influences on Healthy Transportation Choices: Bicycling versus Driving381 cited
  • 1967Models in geography373 cited
  • 1983The Gold Coast and the Slum: A Sociological Study of Chicago's Near North Side333 cited
  • 2016Mapping ridership using crowdsourced cycling data189 cited
  • 2017osmdata147 cited
  • 2020Strava Metro data for bicycle monitoring: a literature review122 cited
  • 2017Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data113 cited
  • 2018Using crowdsourced data to monitor change in spatial patterns of bicycle ridership101 cited
  • 2019Using OpenStreetMap to inventory bicycle infrastructure: A comparison with open data from cities97 cited
  • 2001Pleasure Zones: Bodies, Cities, Spaces97 cited
  • 2020Crowdsourced data for bicycling research and practice87 cited
  • 2021Generalized model for mapping bicycle ridership with crowdsourced data68 cited
  • 2022Accelerating ethics, empathy, and equity in geographic information science

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61 cited
  • 2014Land use effects on bicycle ridership: a framework for state planning agencies61 cited
  • Cited by

    • 2024Weathering heights: An updated analytical model of the nonlinear effects of weather on bicycle traffic7 cited
    • 2024Investigating the influence of spatial characteristics on cycling volume: A multi-scale geographic weighted regression approach6 cited
    • 2024Scalability challenges of machine learning models for estimating walking and cycling volumes in large networks6 cited
    • 2023Functional data analysis approach for mapping change in time series: A case study using bicycle ridership patterns6 cited