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Design and Implementation of Pedestrian and Bicycle-Specific Data Collection Methods in Oregon
13 references·1 citing·34 second hop
Design and Implementation of Pedestrian and Bicycle-Specific Data Collection Methods in Oregon (2014)Design and Implementation of Pedestrian a…Adaptation and Implementation of a System for Collecting and Analyzing Cyclist Route Data Using Smartphones (2014)Adaptation and Implementation…Temporal trends and the effect of weather on pedestrian volumes: A case study of Montreal, Canada (2013)Temporal trends and the effec…Estimating Annual Average Daily Bicyclists (2013)Estimating Annual Average Dai…Development of Daily Adjustment Factors for Bicycle Traffic (2013)Development of Daily Adjustme…Adjustment Factors for Estimating Miles Traveled by Nonmotorized Traffic (2013)Adjustment Factors for Estima…Understanding the Use of Non-Motorized Transportation Facilities (2012)Understanding the Use of Non-…Commuter Cyclist's Sensitivity to Changes in Weather: Insight from Two Cities with Different Climatic Conditions (2012)Commuter Cyclist's Sensitivit…Quantifying and comparing the effects of weather on bicycle demand in Melbourne (Australia) and Portland (USA) (2011)Quantifying and comparing the…Seamless Travel: Measuring Bicycle and Pedestrian Activity in San Diego County and its Relationship to Land Use, Transportation, Safety, and Facility Type (2010)Seamless Travel: Measuring Bi…Automated Bicycle Counts (2010)Automated Bicycle CountsAnalysis and synthesis of evidence on the effects of investment in six Cycling Demonstration Towns (2009)Analysis and synthesis of evi…Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts (2008)Effectiveness of a Commercial…Bicycle Traffic Count Factoring: An Examination of National, State and Locally Derived Daily Extrapolation Factors (2000)Bicycle Traffic Count Factori…Using drone technology to collect school transportation data (2022)Using drone technology to col…Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning 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(2009)Developing expansion factors to estimate cyclist seasonal average daily traffic in Winnipeg, MB (2015)Modeling the Impact of Weather and Context Data on Transport Mode Choices: A Case Study of GPS Trajectories from Beijing (2022)Estimating visitor use at attraction sites and trailheads in Yosemite National Park using automated visitor counters (2010)GPS-‐‐basedmeasurements of backcountry visitors in parks and protected areas: Examples of methods and applications from three case studies (2010)Recreational use in dispersed public lands measured using social media data and on-site counts (2018)DEVELOPMENT OF ESTIMATION METHODOLOGY FOR BICYCLE AND PEDESTRIAN VOLUMES BASED ON EXISTING COUNTS (2013)Impact of rain on daily bus ridership: a Brisbane case study (2013)Estimation of Daily Bicycle Traffic Volumes Using Spatiotemporal Relationships (2017)Monitoring and Modeling of Urban Trail Traffic: Validation of Direct Demand Models in Minneapolis, Minnesota, and Columbus, Ohio (2016)Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies (2016)Bicycle and Pedestrian Counts at Signalized Intersections Using Existing Infrastructure (2017)A sinusoidal model for seasonal bicycle demand estimation (2016)Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists (2019)Value for Money: An Economic Assessment of Investment in Walking and Cycling (2010)Transport, Physical Activity and Health: Present knowledge and the way ahead (2011)Increasing active travel: aims, methods and baseline measures of a quasi-experimental study (2014)Development and Application of Volume Model for Pedestrian Intersections in San Francisco, California (2012)Identification of land-use characteristics using bicycle sharing data: A deep learning approach (2019)Real-time prediction of public bike sharing system demand using generalized extreme value count model (2020)Monitoring Bicyclist and Pedestrian Travel and Behavior (2014)Impact of data gaps on the accuracy of annual and monthly average daily bicycle volume calculation at permanent count stations (2018)
this work references cited by second hop

References

  • 2013Estimating Annual Average Daily Bicyclists91 cited
  • 2013Development of Daily Adjustment Factors for Bicycle Traffic58 cited
  • 2008Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts55 cited
  • 2010Seamless Travel: Measuring Bicycle and Pedestrian Activity in San Diego County and its Relationship to Land Use, Transportation, Safety, and Facility Type50 cited
  • 2013Temporal trends and the effect of weather on pedestrian volumes: A case study of Montreal, Canada40 cited
  • 2009Analysis and synthesis of evidence on the effects of investment in six Cycling Demonstration Towns40 cited
  • 2010Automated Bicycle Counts37 cited
  • 2012Commuter Cyclist's Sensitivity to Changes in Weather: Insight from Two Cities with Different Climatic Conditions27 cited
  • 2011Quantifying and comparing the effects of weather on bicycle demand in Melbourne (Australia) and Portland (USA)24 cited
  • 2013Adjustment Factors for Estimating Miles Traveled by Nonmotorized Traffic14 cited
  • 2014Adaptation and Implementation of a System for Collecting and Analyzing Cyclist Route Data Using Smartphones9 cited
  • 2012Understanding the Use of Non-Motorized Transportation Facilities9 cited
  • 2000Bicycle Traffic Count Factoring: An Examination of National, State and Locally Derived Daily Extrapolation Factors8 cited

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  • 2022Using drone technology to collect school transportation data4 cited