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Route Choice Analysis of Urban Cycling Behaviors Using OpenStreetMap: Evidence from a British Urban Environment
16 references·8 citing·53 second hop
Route Choice Analysis of Urban Cycling Behaviors Using OpenStreetMap: Evidence from a British Urban Environment (2015)Route Choice Analysis of Urban Cycling Be…Assessing the Completeness of Bicycle Trail and Lane Features in O pen S treet M ap for the U nited S tates (2014)Assessing the Completeness of…The Impact of the Built Environment on Bicycle Commuting: Evidence from Beijing (2013)The Impact of the Built Envir…Mapping bicyclists’ experiences in Copenhagen (2013)Mapping bicyclists’ experienc…Where do cyclists ride? A route choice model developed with revealed preference GPS data (2012)Where do cyclists ride? A rou…Build It. But Where? The Use of Geographic Information Systems in Identifying Locations for New Cycling Infrastructure (2012)Build It. But Where? The Use …A bi-objective cyclist route choice model (2012)A bi-objective cyclist route …The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007–2011 (2011)The Street Network Evolution …A GPS-based bicycle route choice model for San Francisco, California (2011)A GPS-based bicycle route cho…Route choice of cyclists in Zurich (2010)Route choice of cyclists in Z…How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)How Good is Volunteered Geogr…A GIS-based toolkit for route choice analysis (2010)A GIS-based toolkit for route…Sensing Human Activity: GPS Tracking (2009)Sensing Human Activity: GPS T…Infrastructure, programs, and policies to increase bicycling: An international review (2009)Infrastructure, programs, and…An analysis of bicycle route choice preferences in Texas, US (2009)An analysis of bicycle route …Search for a global positioning system device to measure person travel (2007)Search for a global positioni…Route choice modeling with network-free data (2007)Route choice modeling with ne…Collecting population-representative bike-riding GPS data to understand bike-riding activity and patterns using smartphones and Bluetooth beacons (2024)Collecting population-represe…Pedaling through a virtually redesigned city: Evaluation of traffic planning and urban design factors influencing bicycle traffic (2022)Pedaling through a virtually …Equitable active transport for female cyclists (2022)Equitable active transport fo…Cycling in Lagos: The challenges, opportunities, and prospects (2022)Cycling in Lagos: The challen…What aspects of traffic intensity most influence cycling mode choice? A study of commuting in Surrey, UK (2021)What aspects of traffic inten…Bicycle Ridership Using Crowdsourced Data: Ordered Probit Model Approach (2020)Bicycle Ridership Using Crowd…Collaboration or competition: The impact of incentive types on urban cycling (2019)Collaboration or competition:…Opportunities for Volunteered Geographic Information Use in Spatial Planning (2017)Opportunities for Volunteered…Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary (2011)Transportation mode-based segmentation and classification of movement trajectories (2012)Discrete Choice Analysis: Theory and Application to Travel Demand. 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(1970)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Seasonal tourism spaces in Estonia: Case study with mobile positioning data (2006)GPS as a Method for Assessing Spatial and Temporal Use Distributions of Nature-Based Tourists (2012)A general framework for collecting and analysing the tracking data of cruise passengers at the destination (2016)Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches (2021)
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References

  • 2010How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets1,640 cited
  • 2009Infrastructure, programs, and policies to increase bicycling: An international review1,366 cited
  • 2012Where do cyclists ride? A route choice model developed with revealed preference GPS data693 cited
  • 2011A GPS-based bicycle route choice model for San Francisco, California399 cited
  • 2011The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007–2011390 cited
  • 2009An analysis of bicycle route choice preferences in Texas, US345 cited
  • 2010Route choice of cyclists in Zurich320 cited
  • 2007Search for a global positioning system device to measure person travel246 cited
  • 2013The Impact of the Built Environment on Bicycle Commuting: Evidence from Beijing173 cited
  • 2009Sensing Human Activity: GPS Tracking137 cited
  • 2012Build It. But Where? The Use of Geographic Information Systems in Identifying Locations for New Cycling Infrastructure134 cited
  • 2007Route choice modeling with network-free data131 cited
  • 2012A bi-objective cyclist route choice model111 cited
  • 2013Mapping bicyclists’ experiences in Copenhagen109 cited
  • 2010

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A GIS-based toolkit for route choice analysis
78 cited
  • 2014Assessing the Completeness of Bicycle Trail and Lane Features in O pen S treet M ap for the U nited S tates62 cited
  • Cited by

    • 2022Equitable active transport for female cyclists18 cited
    • 2020Bicycle Ridership Using Crowdsourced Data: Ordered Probit Model Approach17 cited
    • 2022Cycling in Lagos: The challenges, opportunities, and prospects16 cited
    • 2019Collaboration or competition: The impact of incentive types on urban cycling16 cited
    • 2022Pedaling through a virtually redesigned city: Evaluation of traffic planning and urban design factors influencing bicycle traffic14 cited
    • 2024Collecting population-representative bike-riding GPS data to understand bike-riding activity and patterns using smartphones and Bluetooth beacons12 cited
    • 2021What aspects of traffic intensity most influence cycling mode choice? A study of commuting in Surrey, UK9 cited
    • 2017Opportunities for Volunteered Geographic Information Use in Spatial Planning3 cited