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Daily Bicycle Traffic Volume Estimation: Comparison of Historical Average and Count Models
16 references·13 citing·33 second hop
Daily Bicycle Traffic Volume Estimation: Comparison of Historical Average and Count Models (2018)Daily Bicycle Traffic Volume Estimation: …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…Estimating Mixed-Mode Urban Trail Traffic Using Negative Binomial Regression Models (2013)Estimating Mixed-Mode Urban T…Estimating Annual Average Daily Bicyclists (2013)Estimating Annual Average Dai…Development of Daily Adjustment Factors for Bicycle Traffic (2013)Development of Daily Adjustme…Classification of Bicycle Traffic Patterns in Five North American Cities (2013)Classification of Bicycle Tra…Temporal, seasonal and weather effects on cycle volume: an ecological study (2012)Temporal, seasonal and weathe…Weather or Not to Cycle (2011)Weather or Not to CycleA Seasonal Autoregressive Model Of Vancouver Bicycle Traffic Using Weather Variables (2011)A Seasonal Autoregressive Mod…Temporal variations of bicycle demand in the Netherlands : The influence of weather on cycling (2009)Temporal variations of bicycl…Weather and cycling—a first approach to the effects of weather conditions on cycling (2007)Weather and cycling—a first a…Estimating urban trail traffic: Methods for existing and proposed trails (2007)Estimating urban trail traffi…The effect of weather and climate on bicycle commuting (1999)The effect of weather and cli…Longitudinal Analysis of Bicycle Count Variability: Results and Modeling Implications (1996)Longitudinal Analysis of Bicy…EVALUATING THE IMPACT OF WEATHER ON BICYCLE USE (1977)EVALUATING THE IMPACT OF WEAT…From counting stations to city-wide estimates: data-driven bicycle volume extrapolation (2025)From counting stations to cit…A review of bike volume prediction studies (2024)A review of bike volume predi…A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks (2024)A bike-sharing demand predict…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…Analysis of factors influencing cycling count: A micro-level study using road segment count data in London (2022)Analysis of factors influenci…Daily Traffic Count Imputation for Bicycle and Pedestrian Traffic: Comparing Existing Methods with Machine Learning Approaches (2021)Daily Traffic Count Imputatio…Challenges and Opportunities of Emerging Data Sources to Estimate Network-Wide Bike Counts (2021)Challenges and Opportunities …An Examination of the Strava Usage Rate—A Parameter to Estimate Average Annual Daily Bicycle Volumes on Rural Roadways (2021)An Examination of the Strava …A spatial modeling approach to estimating bike share traffic volume from GPS data (2021)A spatial modeling approach t…Random parameter models for estimating statewide daily bicycle counts using crowdsourced data (2020)Random parameter models for e…Minimizing Annual Average Daily Nonmotorized Traffic Estimation Errors: How Many Counters Are Needed per Factor Group? (2019)Minimizing Annual Average Dai…Using spatio-temporal data for estimating missing cycling counts: a multiple imputation approach (2018)Using spatio-temporal data fo…Bicycle Commuting and Facilities in Major U.S. Cities: If You Build Them, Commuters Will Use Them (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Measuring the impact of opening the London shared bicycle scheme to casual users (2012)Mapping ridership using crowdsourced cycling data (2016)Improving the sustainability of integrated transportation system with bike-sharing: A spatial agent-based approach (2018)Active commuting and cardiovascular risk: A meta-analytic review (2007)Walking, Cycling, and Obesity Rates in Europe, North America, and Australia (2008)The effect of environmental factors on bicycle commuters in Vermont: influences of a northern climate (2013)Built environment determinants of bicycle volume: A longitudinal analysis (2017)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)Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling (2017)Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data (2020)Guide for the Development of Bicycle Facilities (1999)An environmental intervention to promote walking and cycling—the impact of a newly constructed Rail Trail in Western Sydney (2003)Urban trails and demand response to weather variations (2018)Utilitarian Bicycling (2006)Commuting by Bicycle: An Overview of the Literature (2009)Impact of Weather Conditions and Built Environment on Public Bikesharing Trips in Beijing (2019)Modelling the impact of weather conditions on active transportation travel behaviour (2011)Bicycle infrastructure: can good design encourage cycling? (2014)Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events (2014)Facility-Demand Models of Peak Period Pedestrian and Bicycle Traffic: Comparison of Fully Specified and Reduced-Form Models (2016)How to Make Dockless Bikeshare Good for Cities: Curbing Oversupplied Bikes (2019)A sinusoidal model for seasonal bicycle demand estimation (2016)Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists (2019)Day-to-Day Choice to Commute or Not by Bicycle (2011)The effect of weather on the use of North American bicycle facilities: A multi-city analysis using automatic counts (2014)Weather variability and travel behaviour – what we know and what we do not know (2017)To Bike or Not to Bike (2012)Integrated Weather Effects on Cycling Shares, Frequencies, and Durations in Rotterdam, the Netherlands (2014)
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References

  • 1999The effect of weather and climate on bicycle commuting285 cited
  • 2011Weather or Not to Cycle186 cited
  • 2007Weather and cycling—a first approach to the effects of weather conditions on cycling115 cited
  • 2013Estimating Annual Average Daily Bicyclists91 cited
  • 2012Temporal, seasonal and weather effects on cycle volume: an ecological study88 cited
  • 2013Classification of Bicycle Traffic Patterns in Five North American Cities83 cited
  • 2011A Seasonal Autoregressive Model Of Vancouver Bicycle Traffic Using Weather Variables66 cited
  • 1977EVALUATING THE IMPACT OF WEATHER ON BICYCLE USE59 cited
  • 2013Development of Daily Adjustment Factors for Bicycle Traffic58 cited
  • 2014Day-of-Year Scaling Factors and Design Considerations for Nonmotorized Traffic Monitoring Programs57 cited
  • 2007Estimating urban trail traffic: Methods for existing and proposed trails55 cited
  • 2013Estimating Mixed-Mode Urban Trail Traffic Using Negative Binomial Regression Models49 cited
  • 2009Temporal variations of bicycle demand in the Netherlands : The influence of weather on cycling47 cited
  • 2014Estimation of Annual Average Daily Bicycle Traffic with Adjustment Factors44 cited
  • 1996Longitudinal Analysis of Bicycle Count Variability: Results and Modeling Implications

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44 cited
  • 2014Methodology to Characterize Ideal Short-Term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-Based Correcting Function39 cited
  • Cited by

    • 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
    • 2021A spatial modeling approach to estimating bike share traffic volume from GPS data30 cited
    • 2020Random parameter models for estimating statewide daily bicycle counts using crowdsourced data27 cited
    • 2022Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes19 cited
    • 2021Challenges and Opportunities of Emerging Data Sources to Estimate Network-Wide Bike Counts17 cited
    • 2024A bike-sharing demand prediction model based on Spatio-Temporal Graph Convolutional Networks14 cited
    • 2024A review of bike volume prediction studies14 cited
    • 2018Using spatio-temporal data for estimating missing cycling counts: a multiple imputation approach12 cited
    • 2021An Examination of the Strava Usage Rate—A Parameter to Estimate Average Annual Daily Bicycle Volumes on Rural Roadways11 cited
    • 2021Daily Traffic Count Imputation for Bicycle and Pedestrian Traffic: Comparing Existing Methods with Machine Learning Approaches10 cited
    • 2025From counting stations to city-wide estimates: data-driven bicycle volume extrapolation9 cited
    • 2022Analysis of factors influencing cycling count: A micro-level study using road segment count data in London8 cited