SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Guidebook on Pedestrian and Bicycle Volume Data Collection
0 references·16 citing·55 second hopsampled
Guidebook on Pedestrian and Bicycle Volume Data Collection (2014)Guidebook on Pedestrian and Bicycle Volum…Estimation of daily bicycle traffic using machine and deep learning techniques (2022)Estimation of daily bicycle t…Sources and Applications of Emerging Active Travel Data: A Review of the Literature (2021)Sources and Applications of E…Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data (2020)Estimation of Average Annual …What can volunteered geographic information tell us about the different ways mountain bikers, runners and walkers use urban reserves? (2019)What can volunteered geograph…Minimizing Annual Average Daily Nonmotorized Traffic Estimation Errors: How Many Counters Are Needed per Factor Group? (2019)Minimizing Annual Average Dai…Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone (2019)Data-driven Bicycle Network A…Closing the loop: short term impacts on physical activity of the completion of a loop trail in Sydney, Australia (2019)Closing the loop: short term …Urban trails and demand response to weather variations (2018)Urban trails and demand respo…Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling (2017)Spatial models of active trav…Development, Implementation, and Evaluation of Active Lions: A Campaign to Promote Active Travel to a University Campus (2017)Development, Implementation, …Adelaide’s East End tramline: Effects on modal shift and carbon reduction (2017)Adelaide’s East End tramline:…Representing pedestrian activity in travel demand models: Framework and application (2016)Representing pedestrian activ…Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies (2016)Performance Evaluation and Co…Monitoring and Modeling of Urban Trail Traffic: Validation of Direct Demand Models in Minneapolis, Minnesota, and Columbus, Ohio (2016)Monitoring and Modeling of Ur…Facility-Demand Models of Peak Period Pedestrian and Bicycle Traffic: Comparison of Fully Specified and Reduced-Form Models (2016)Facility-Demand Models of Pea…Comparison of Smartphone-based Cyclist GPS Data Sources (2016)Comparison of Smartphone-base…Linking objectively measured physical activity with objectively measured urban form (2005)Active commuting and cardiovascular risk: A meta-analytic review (2007)Neighborhood built environment and income: Examining multiple health outcomes (2009)Adding temporal information to direct-demand models: Hourly estimation of bicycle and pedestrian traffic in Blacksburg, VA (2018)Have walking and bicycling increased in the US? A 13-year longitudinal analysis of traffic counts from 13 metropolitan areas (2019)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)Travel and the Built Environment (2010)A walk trip generation model for Portland, OR (2017)Trends in integrated land use/transport modeling: An evaluation of the state of the art (2018)Estimating Pedestrian Flows on Street Networks (2021)Health Behavior and Health Education: Theory, Research, and Practice (1992)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)The application of travel demand management initiatives within a university setting (2020)Effectiveness of Social Media-Based Interventions for the Promotion of Physical Activity: Scoping Review (2021)Increasing Bicycling for Transportation: A Systematic Review of the Literature (2021)The effect of weather and climate on bicycle commuting (1999)Potential of transferring car trips to bicycle during winter (2003)Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events (2014)Cycling usage and frequency determinants in college campuses (2019)Real-time prediction of public bike sharing system demand using generalized extreme value count model (2020)Using weather forecasts to forecast whether bikes are used (2020)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)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)Multi-Criteria Decision-Making Model for Evaluating Safety of Road Sections (2022)Citizens as sensors: the world of volunteered geography (2007)Natural area tourism: ecology, impacts and management (2013)Using social media to quantify nature-based tourism and recreation (2013)Association and Interaction Between Built Environment and Outdoor Jogging Based on Crowdsourced Geographic Information (2024)Meta-analysis on Associations Between the Built Environment and Mobile Physical Activity Using Volunteered Geographic Information (2024)Associations between the built environment and jogging behaviour based on voluntarily contributed tracking data: a systematic review and meta-analysis (2025)Classification of Bicycle Traffic Patterns in Five North American Cities (2013)Development of Daily Adjustment Factors for Bicycle Traffic (2013)Estimating Annual Average Daily Bicyclists (2013)Random parameter models for estimating statewide daily bicycle counts using crowdsourced data (2020)How weather and special events affect pedestrian activities: volume, space, and time (2021)Varying influences of the built environment on daily and hourly pedestrian crossing volumes at signalized intersections estimated from traffic signal controller event data (2021)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)Motivators and deterrents of bicycling: comparing influences on decisions to ride (2010)Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data (2021)Modeling cyclist behavior using entropy and GPS data (2022)Analysis of gender-specific bicycle route choices using revealed preference surveys based on GPS traces (2023)Estimating use of non-motorized infrastructure: Models of bicycle and pedestrian traffic in Minneapolis, MN (2012)Big Data and Cycling (2015)Mapping ridership using crowdsourced cycling data (2016)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)Developing a framework for assessment of the environmental determinants of walking and cycling (2003)Sustainable bike-sharing systems: characteristics and commonalities across cases in urban China (2014)Estimating daily bicycle counts with Strava data in rural and urban locations (2023)The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review (2024)From neighborhoods to streetscapes: Pandemic-era shifts in built-environment effects on pedestrian mobility (2025)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

No references inside the corpus for this window.

Cited by

  • 2019What can volunteered geographic information tell us about the different ways mountain bikers, runners and walkers use urban reserves?77 cited
  • 2016Representing pedestrian activity in travel demand models: Framework and application67 cited
  • 2019Data-driven Bicycle Network Analysis Based on Traditional Counting Methods and GPS Traces from Smartphone54 cited
  • 2020Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data51 cited
  • 2018Urban trails and demand response to weather variations51 cited
  • 2016Facility-Demand Models of Peak Period Pedestrian and Bicycle Traffic: Comparison of Fully Specified and Reduced-Form Models50 cited
  • 2017Development, Implementation, and Evaluation of Active Lions: A Campaign to Promote Active Travel to a University Campus42 cited
  • 2017Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling42 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
  • 2021Sources and Applications of Emerging Active Travel Data: A Review of the Literature28 cited
  • 2016Monitoring and Modeling of Urban Trail Traffic: Validation of Direct Demand Models in Minneapolis, Minnesota, and Columbus, Ohio25 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2016Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies22 cited
  • 2017Adelaide’s East End tramline: Effects on modal shift and carbon reduction21 cited
  • 2019Closing the loop: short term impacts on physical activity of the completion of a loop trail in Sydney, Australia20 cited
  • 2016Comparison of Smartphone-based Cyclist GPS Data Sources20 cited