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Modeling Cyclist Route Choice using Revealed Preference Data: An Age and Gender Perspective
5 references·16 citing·50 second hop
Modeling Cyclist Route Choice using Revealed Preference Data: An Age and Gender Perspective (2018)Modeling Cyclist Route Choice using Revea…Bicycling Choice and Gender Case Study: The Ohio State University (2013)Bicycling Choice and Gender C…A GPS-based bicycle route choice model for San Francisco, California (2011)A GPS-based bicycle route cho…Explaining Gender Difference in Bicycling Behavior (2009)Explaining Gender Difference …The Factor of Revisited Path Size (2008)The Factor of Revisited Path …Trails, lanes, or traffic: Valuing bicycle facilities with an adaptive stated preference survey (2006)Trails, lanes, or traffic: Va…Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure (2025)Designing green and safe micr…Understanding the route choice preferences of private and dock-based public bike users using GPS data in Seoul, South Korea (2024)Understanding the route choic…Quantitative modelling of cyclists’ route choice behaviour on utilitarian trips based on GPS data: associated factors and behavioural implications (2024)Quantitative modelling of cyc…Differences in route choice behavior when riding shared e-scooters vs. bicycles – A field study (2024)Differences in route choice b…Cycling distance and detour extent: Comparative analysis of private and public bikes using city-level bicycle trajectory data (2024)Cycling distance and detour e…Route choice modeling for cyclists on urban networks (2023)Route choice modeling for cyc…Revealing the determinants of gender inequality in urban cycling with large-scale data (2023)Revealing the determinants of…The effects of COVID-19 on female and male bike sharing users: Insights from Lisbon's GIRA (2022)The effects of COVID-19 on fe…Using environmental audits and photo-journeys to compare objective attributes and bicyclists’ perceptions of bicycle routes (2021)Using environmental audits an…The role of attitudes in perceptions of bicycle facilities: A latent-class regression approach (2021)The role of attitudes in perc…Different Safety Awareness and Route Choice between Frequent and Infrequent Bicyclists: Findings from Revealed Preference Study Using Bikeshare Data (2021)Different Safety Awareness an…Bicycle Traffic Model for Sustainable Urban Mobility Planning (2021)Bicycle Traffic Model for Sus…“Going through a little bit of growing pains”: A qualitative study of the factors that influence the route choice of regular bicyclists in a developing cycling city (2021)“Going through a little bit o…Random parameter models for estimating statewide daily bicycle counts using crowdsourced data (2020)Random parameter models for e…Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data (2020)Estimation of Average Annual …Moderating effect of gender on the associations of perceived attributes of the neighbourhood environment and social norms on transport cycling behaviours (2019)Moderating effect of gender o…On Stochastic Models of Traffic Assignment (1977)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete Choice Methods and their Applications to Short Term Travel Decisions (1999)Examining the scaling effect and overlapping problem in logit-based stochastic user equilibrium models (2012)Influence of the Built Environment on Pedestrian Route Choices of Adolescent Girls (2014)The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area (2021)Perceived Risk Attitudes: Relating Risk Perception to Risky Choice (1997)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand (2015)Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share (2018)Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City (2019)Transportation Research Board (2014)Discovering urban activity patterns in cell phone data (2015)Do People Use the Shortest Path? 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A route choice model developed with revealed preference GPS data (2012)Bike network planning in limited urban space (2024)Comparative study of route choice models for cyclists (2024)
this work references cited by second hop

References

  • 2011A GPS-based bicycle route choice model for San Francisco, California399 cited
  • 2006Trails, lanes, or traffic: Valuing bicycle facilities with an adaptive stated preference survey360 cited
  • 2009Explaining Gender Difference in Bicycling Behavior267 cited
  • 2013Bicycling Choice and Gender Case Study: The Ohio State University197 cited
  • 2008The Factor of Revisited Path Size113 cited

Cited by

  • 2020Estimation of Average Annual Daily Bicycle Counts using Crowdsourced Strava Data51 cited
  • 2023Route choice modeling for cyclists on urban networks45 cited
  • 2019Moderating effect of gender on the associations of perceived attributes of the neighbourhood environment and social norms on transport cycling behaviours42 cited
  • 2021Bicycle Traffic Model for Sustainable Urban Mobility Planning34 cited
  • 2021“Going through a little bit of growing pains”: A qualitative study of the factors that influence the route choice of regular bicyclists in a developing cycling city33 cited
  • 2021The role of attitudes in perceptions of bicycle facilities: A latent-class regression approach29 cited
  • 2024Quantitative modelling of cyclists’ route choice behaviour on utilitarian trips based on GPS data: associated factors and behavioural implications28 cited
  • 2020Random parameter models for estimating statewide daily bicycle counts using crowdsourced data27 cited

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

  • 2023Revealing the determinants of gender inequality in urban cycling with large-scale data26 cited
  • 2022The effects of COVID-19 on female and male bike sharing users: Insights from Lisbon's GIRA25 cited
  • 2021Different Safety Awareness and Route Choice between Frequent and Infrequent Bicyclists: Findings from Revealed Preference Study Using Bikeshare Data20 cited
  • 2021Using environmental audits and photo-journeys to compare objective attributes and bicyclists’ perceptions of bicycle routes20 cited
  • 2025Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure16 cited
  • 2024Understanding the route choice preferences of private and dock-based public bike users using GPS data in Seoul, South Korea14 cited
  • 2024Differences in route choice behavior when riding shared e-scooters vs. bicycles – A field study14 cited
  • 2024Cycling distance and detour extent: Comparative analysis of private and public bikes using city-level bicycle trajectory data13 cited