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Examining Spatial Transferability of Direct-Demand Models for Estimating Cyclist Counts at Intersections
16 references·0 citing·40 second hop
Examining Spatial Transferability of Direct-Demand Models for Estimating Cyclist Counts at Intersections (2025)Examining Spatial Transferability of Dire…The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review (2024)The use of crowdsourced mobil…Bias and precision of crowdsourced recreational activity data from Strava (2023)Bias and precision of crowdso…Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes (2022)Exploring Data Fusion Techniq…Estimation of daily bicycle traffic using machine and deep learning techniques (2022)Estimation of daily bicycle t…Strava Metro data for bicycle monitoring: a literature review (2020)Strava Metro data for bicycle…Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data (2020)Estimation of Average Annual …Minimizing Annual Average Daily Nonmotorized Traffic Estimation Errors: How Many Counters Are Needed per Factor Group? (2019)Minimizing Annual Average Dai…Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling (2017)Spatial models of active trav…Monitoring and Modeling of Urban Trail Traffic: Validation of Direct Demand Models in Minneapolis, Minnesota, and Columbus, Ohio (2016)Monitoring and Modeling of Ur…A direct-demand model for bicycle counts: the impacts of level of service and other factors (2015)A direct-demand model for bic…Methodology to Characterize Ideal Short-Term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-Based Correcting Function (2014)Methodology to Characterize I…Estimation of Annual Average Daily Bicycle Traffic with Adjustment Factors (2014)Estimation of Annual Average …Day-of-Year Scaling Factors and Design Considerations for Nonmotorized Traffic Monitoring Programs (2014)Day-of-Year Scaling Factors a…Spatial modeling of bicycle activity at signalized intersections Jillian Strauss, Luis F Miranda-M (2013)Spatial modeling of bicycle a…Estimating Annual Average Daily Bicyclists (2013)Estimating Annual Average Dai…Pilot Models for Estimating Bicycle Intersection Volumes (2011)Pilot Models for Estimating B…Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them (2003)Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey (2003)Factors Affecting Bicycling Demand (2007)Correlates of the Built Environment and Active Travel: Evidence from 20 US Metropolitan Areas (2018)Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists (2019)Generalized model for mapping bicycle ridership with crowdsourced data (2021)Weather and cycling—a first approach to the effects of weather conditions on cycling (2007)Weather or Not to Cycle (2011)Development of a cycling data model: City of Vancouver case study (2015)Daily Bicycle Traffic Volume Estimation: Comparison of Historical Average and Count Models (2018)All work and no play? The role of instrumental and affective factors in work and leisure journeys by different travel modes (2005)Bicycling for Transportation and Health: The Role of Infrastructure (2009)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Facility-Demand Models of Peak Period Pedestrian and Bicycle Traffic: Comparison of Fully Specified and Reduced-Form Models (2016)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Gender and used/preferred differences of bicycle routes, parking, intersection signals, and bicycle type: Professional middle class preferences in Hangzhou, China (2014)Have walking and bicycling increased in the US? A 13-year longitudinal analysis of traffic counts from 13 metropolitan areas (2019)A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin, Texas (2020)Bikeability and the 20-min Neighborhood (2011)Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data (2019)Measuring non-motorized accessibility: issues, alternatives, and execution (2009)A GPS-based bicycle route choice model for San Francisco, California (2011)Car free cities: Pathway to healthy urban living (2016)Adding temporal information to direct-demand models: Hourly estimation of bicycle and pedestrian traffic in Blacksburg, VA (2018)Multi-Criteria Decision-Making Model for Evaluating Safety of Road Sections (2022)Mapping ridership using crowdsourced cycling data (2016)Applying mobile phone data to travel behaviour research: A literature review (2017)Biking where Black: Connecting transportation planning and infrastructure to disproportionate policing (2021)Crowdsourcing Geospatial Data for Earth and Human Observations: A Review (2023)Estimating use of non-motorized infrastructure: Models of bicycle and pedestrian traffic in Minneapolis, MN (2012)Big Data and Cycling (2015)A spatial modeling approach to estimating bike share traffic volume from GPS data (2021)A systematic scoping review of methods for estimating link-level bicycling volumes (2022)Big data and understanding change in the context of planning transport systems (2018)Estimating daily bicycle counts with Strava data in rural and urban locations (2023)Gender differences in urban recreational running: A data-driven approach (2025)Uncovering spatial patterns of environmental influence on the paces of active leisure travel (2025)Development of Daily Adjustment Factors for Bicycle Traffic (2013)A sinusoidal model for seasonal bicycle demand estimation (2016)
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References

  • 2020Strava Metro data for bicycle monitoring: a literature review122 cited
  • 2023Bias and precision of crowdsourced recreational activity data from Strava97 cited
  • 2013Estimating Annual Average Daily Bicyclists91 cited
  • 2011Pilot Models for Estimating Bicycle Intersection Volumes77 cited
  • 2014Day-of-Year Scaling Factors and Design Considerations for Nonmotorized Traffic Monitoring Programs57 cited
  • 2020Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data51 cited
  • 2013Spatial modeling of bicycle activity at signalized intersections Jillian Strauss, Luis F Miranda-M51 cited
  • 2015A direct-demand model for bicycle counts: the impacts of level of service and other factors47 cited
  • 2014Estimation of Annual Average Daily Bicycle Traffic with Adjustment Factors44 cited
  • 2017Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling42 cited
  • 2014Methodology to Characterize Ideal Short-Term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-Based Correcting Function39 cited
  • 2022Estimation of daily bicycle traffic using machine and deep learning techniques31 cited
  • 2019Minimizing Annual Average Daily Nonmotorized Traffic Estimation Errors: How Many Counters Are Needed per Factor Group?31 cited
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Monitoring and Modeling of Urban Trail Traffic: Validation of Direct Demand Models in Minneapolis, Minnesota, and Columbus, Ohio
25 cited
  • 2024The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review20 cited
  • 2022Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes19 cited
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