SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Seamless Travel: Measuring Bicycle and Pedestrian Activity in San Diego County and its Relationship to Land Use, Transportation, Safety, and Facility Type
0 references·16 citing·50 second hopsampled
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 Bicycle and Pe…Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes (2022)Exploring Data Fusion Techniq…Varying influences of the built environment on daily and hourly pedestrian crossing volumes at signalized intersections estimated from traffic signal controller event data (2021)Varying influences of the bui…Real-time prediction of public bike sharing system demand using generalized extreme value count model (2020)Real-time prediction of publi…A composite zonal index for biking attractiveness and safety (2020)A composite zonal index for b…Identification of land-use characteristics using bicycle sharing data: A deep learning approach (2019)Identification of land-use ch…Bicycle, pedestrian, and mixed-mode trail traffic: A performance assessment of demand models (2018)Bicycle, pedestrian, and mixe…Adding temporal information to direct-demand models: Hourly estimation of bicycle and pedestrian traffic in Blacksburg, VA (2018)Adding temporal information t…Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling (2017)Spatial models of active trav…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…Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facility variables (2016)Models for estimating zone-le…Estimating Daily Bicycle Counts in Seattle, Washington, from Seasonal and Weather Factors (2016)Estimating Daily Bicycle Coun…Using Origin–Destination Centrality to Estimate Directional Bicycle Volumes (2014)Using Origin–Destination Cent…Monitoring Bicyclist and Pedestrian Travel and Behavior: Current Research and Practice (2014)Monitoring Bicyclist and Pede…Modeling Nonmotorized Travel Demand at Intersections in Calgary, Canada (2014)Modeling Nonmotorized Travel …Development and Application of Volume Model for Pedestrian Intersections in San Francisco, California (2012)Development and Application o…Statistical and Econometric Methods for Transportation Data Analysis (2003)Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area (2003)Bicycling for Transportation and Health: The Role of Infrastructure (2009)Random parameter models for estimating statewide daily bicycle counts using crowdsourced data (2020)Estimation of daily bicycle traffic using machine and deep learning techniques (2022)Investigating the temporal differences among bike-sharing users through comparative analysis based on count, time series, and data mining models (2023)Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey (2003)Summary of Travel Trends 2001 National Household Travel Survey (2005)Where do cyclists ride? A route choice model developed with revealed preference GPS data (2012)Designing a bicycle and pedestrian traffic monitoring program to estimate annual average daily traffic in a small rural college town (2017)Bicycle Traffic Model for Sustainable Urban Mobility Planning (2021)Assessment of Models to Measure Pedestrian Activity at Signalized Intersections (2008)Pilot Model for Estimating Pedestrian Intersection Crossing Volumes (2009)Modeling of Pedestrian Activity at Signalized Intersections: Land Use, Urban Form, Weather, and Spatiotemporal Patterns (2011)Dynamic bike sharing traffic prediction using spatiotemporal pattern detection (2020)Pedestrian movement with large-scale GPS records and transit-oriented development attributes (2024)Influences on bicycle use (2006)Estimation of the determinants of bicycle mode share for the journey to work using census data (2007)Weather or Not to Cycle (2011)Assessing the effects of the built environment and microclimate on cycling volume (2023)Heat and mobility: Machine learning perspectives on bike-sharing resilience in Shanghai (2025)Promoting Safe Walking and Cycling to Improve Public Health: Lessons From The Netherlands and Germany (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)The Geography of Transport Systems (2020)The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach (2020)Understanding the influencing factors of bicycle-sharing demand based on residents’ trips (2021)A micro-level analysis of commuting and urban land using the Simpson's index and socio-demographic factors (2022)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)Local Indicators of Spatial Association—LISA (1995)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Cycling to work in 90 large American cities: new evidence on the role of bike paths and lanes (2011)UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning (2002)Measuring Sprawl and Its Transportation Impacts (2003)How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal (2014)Sustainable co-governance of smart bike-sharing schemes based on consumers’ perspective (2020)Public Bike Trip Purpose Inference Using Point-of-Interest Data (2021)Concordance between Regional Functions and Mobility Features Using Bike-sharing and Land-use Data near Metro Stations (2022)Travel demand and the 3Ds: Density, diversity, and design (1997)The sustainable mobility paradigm (2007)Electric bike navigation comfort in pedestrian crowds (2021)Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment (2023)Spatial Econometrics: Methods and Models (1988)Spatial Externalities, Spatial Multipliers, And Spatial Econometrics (2003)Bikesharing in Europe, the Americas, and Asia (2010)Effect of dockless bike-sharing scheme on the demand for London Cycle Hire at the disaggregate level using a deep learning approach (2022)Review of bike-sharing system studies using bibliometrics method (2022)
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

  • 2019Identification of land-use characteristics using bicycle sharing data: A deep learning approach49 cited
  • 2020Real-time prediction of public bike sharing system demand using generalized extreme value count model48 cited
  • 2012Development and Application of Volume Model for Pedestrian Intersections in San Francisco, California45 cited
  • 2017Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling42 cited
  • 2020A composite zonal index for biking attractiveness and safety39 cited
  • 2014Using Origin–Destination Centrality to Estimate Directional Bicycle Volumes38 cited
  • 2018Adding temporal information to direct-demand models: Hourly estimation of bicycle and pedestrian traffic in Blacksburg, VA38 cited
  • 2014Modeling Nonmotorized Travel Demand at Intersections in Calgary, Canada37 cited
  • 2016Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facility variables36 cited
  • 2016Estimating Daily Bicycle Counts in Seattle, Washington, from Seasonal and Weather Factors31 cited
  • 2018Bicycle, pedestrian, and mixed-mode trail traffic: A performance assessment of demand models29 cited
  • 2016Monitoring and Modeling of Urban Trail Traffic: Validation of Direct Demand Models in Minneapolis, Minnesota, and Columbus, Ohio25 cited
  • 2021

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

Varying influences of the built environment on daily and hourly pedestrian crossing volumes at signalized intersections estimated from traffic signal controller event data
24 cited
  • 2016Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies22 cited
  • 2022Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes19 cited
  • 2014Monitoring Bicyclist and Pedestrian Travel and Behavior: Current Research and Practice18 cited