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Quantifying and comparing the effects of weather on bicycle demand in Melbourne (Australia) and Portland (USA)
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Quantifying and comparing the effects of weather on bicycle demand in Melbourne (Australia) and Portland (USA) (2011)Quantifying and comparing the effects of …Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany (2024)Interpretable Bike-Sharing Ac…Estimation of Daily Bicycle Traffic Volumes Using Spatiotemporal Relationships (2017)Estimation of Daily Bicycle T…Design and Implementation of Pedestrian and Bicycle-Specific Data Collection Methods in Oregon (2014)Design and Implementation of …Impact of rain on daily bus ridership: a Brisbane case study (2013)Impact of rain on daily bus r…DEVELOPMENT OF ESTIMATION METHODOLOGY FOR BICYCLE AND PEDESTRIAN VOLUMES BASED ON EXISTING COUNTS (2013)DEVELOPMENT OF ESTIMATION MET…Measuring the impact of opening the London shared bicycle scheme to casual users (2012)Measuring the impact of openi…Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts (2008)Development of Daily Adjustment Factors for Bicycle Traffic (2013)Estimating Annual Average Daily Bicyclists (2013)Using drone technology to collect school transportation data (2022)The impact of adverse weather conditions on the propensity to change travel decisions: A survey of Brussels commuters (1997)The effect of weather and climate on bicycle commuting (1999)Factors influencing light-rail station boardings in the United States (2004)Effects of Transit Quality of Service Characteristics on Daily Bus Ridership (2015)Impacts of weather on public transport ridership: Results from mining data from different sources (2016)Forecasting demand fluctuations of public bus transit during special events and adverse weather conditions through smart card data analysis (2025)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Washington DC - USA (2008)Bikesharing in Europe, the Americas, and Asia (2010)Mining bicycle sharing data for generating insights into sustainable transport systems (2013)Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)The Contiguity Ratio and Statistical Mapping (1954)Time Series Analysis Forecasting and Control. (1971)Impact of data gaps on the accuracy of annual and monthly average daily bicycle volume calculation at permanent count stations (2018)Daily Traffic Count Imputation for Bicycle and Pedestrian Traffic: Comparing Existing Methods with Machine Learning Approaches (2021)Analysis of factors influencing cycling count: A micro-level study using road segment count data in London (2022)Potential of transferring car trips to bicycle during winter (2003)Weather factor impacts on commuting to work by bicycle (2011)Creating a National Nonmotorized Traffic Count Archive (2015)Estimating Walking and Bicycling at the State Level (2017)Bike Share: A Synthesis of the Literature (2013)Factors influencing the choice of shared bicycles and shared electric bikes in Beijing (2016)Environmental benefits of bike sharing: A big data-based analysis (2018)A Sustainable Dynamic Capacity Estimation Method Based on Bike-Sharing E-Fences (2024)Data-driven predictive modelling of stop-level public transit patterns (2025)
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  • 2012Measuring the impact of opening the London shared bicycle scheme to casual users178 cited
  • 2013Impact of rain on daily bus ridership: a Brisbane case study17 cited
  • 2013DEVELOPMENT OF ESTIMATION METHODOLOGY FOR BICYCLE AND PEDESTRIAN VOLUMES BASED ON EXISTING COUNTS11 cited
  • 2017Estimation of Daily Bicycle Traffic Volumes Using Spatiotemporal Relationships11 cited
  • 2024Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany7 cited
  • 2014Design and Implementation of Pedestrian and Bicycle-Specific Data Collection Methods in Oregon4 cited

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