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Route choice modeling for cyclists on urban networks
16 references·16 citing·49 second hopsampled
Route choice modeling for cyclists on urban networks (2023)Route choice modeling for cyclists on urb…Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel (2021)Observed impacts of the Covid…Route choice of bike share users: Leveraging GPS data to derive choice sets (2020)Route choice of bike share us…Modeling Cyclist Route Choice using Revealed Preference Data: An Age and Gender Perspective (2018)Modeling Cyclist Route Choice…Evaluation of land-use and transport network effects on cyclists' route choices in the Copenhagen Region in value-of-distance space (2018)Evaluation of land-use and tr…Evaluating a data-driven approach for choice set identification using GPS bicycle route choice data from Amsterdam (2018)Evaluating a data-driven appr…How Do People Cycle in Amsterdam, Netherlands?: Estimating Cyclists’ Route Choice Determinants with GPS Data from an Urban Area (2017)How Do People Cycle in Amster…Motives, perceptions and experiences of electric bicycle owners and implications for health, wellbeing and mobility (2016)Motives, perceptions and expe…Modeling Cyclists’ Route Choice Based on GPS Data (2014)Modeling Cyclists’ Route Choi…Where do cyclists ride? A route choice model developed with revealed preference GPS data (2012)Where do cyclists ride? A rou…Route choice sets for very high-resolution data (2012)Route choice sets for very hi…A GPS-based bicycle route choice model for San Francisco, California (2011)A GPS-based bicycle route cho…Route choice of cyclists in Zurich (2010)Route choice of cyclists in Z…An analysis of bicycle route choice preferences in Texas, US (2009)An analysis of bicycle route …Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems (2008)Proceedings of the 16th ACM S…Applying Branch-and-Bound Technique to Route Choice Set Generation (2006)Applying Branch-and-Bound Tec…Halton Sequences for Mixed Logit (2000)Halton Sequences for Mixed Lo…Will e-bikes revolutionize urban mobility? Development and application of a transport model differentiating between conventional and electric bicycle traffic (2025)Will e-bikes revolutionize ur…What influences cycling infrastructure preferences? A stated-preference survey (2025)What influences cycling infra…Further, steeper, greener: Implications from an electric bicycle mode choice model (2025)Further, steeper, greener: Im…Effects of road greenery and sky openness on non-commuting cycling route choice: insights from online map navigation (2025)Effects of road greenery and …Different city = different cycling behaviour? A comparative analysis of cycling behaviour in German cities (2025)Different city = different cy…Cycling route choice preferences: A taste heterogeneity and exogenous segmentation analysis based on age, gender, Geller typology, and e-bike use (2025)Cycling route choice preferen…City-scale GPS data reveals impact of spatial configuration and dedicated infrastructure on e-scooter route choice (2025)City-scale GPS data reveals i…Studying shared bike route choice behavior using a bike-sharing system in Germany (2024)Studying shared bike route ch…Quantitative modelling of cyclists’ route choice behaviour on utilitarian trips based on GPS data: associated factors and behavioural implications (2024)Quantitative modelling of cyc…Identifying non-universal heterogeneity of preferences of leisure cyclists for rural highway environments: A latent-class model (2024)Identifying non-universal het…Exploring University Campus Community’s Perceptions and Barriers toward Biking: A Case Study of the University of Tennessee Knoxville (2024)Exploring University Campus C…Exploring factors affecting route choice of cyclists: A novel varying-contiguity spatially lagged exogenous modeling approach (2024)Exploring factors affecting r…Designing an E-Bike City: An automated process for network-wide multimodal road space reallocation (2024)Designing an E-Bike City: An …Comparative study of route choice models for cyclists (2024)Comparative study of route ch…Bike users’ route choice behaviour: Expectations from electric bikes versus reality in Greater Helsinki (2024)Bike users’ route choice beha…Bike network planning in limited urban space (2024)Bike network planning in limi…Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)Discrete Choice Methods with Simulation (2001)Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Understanding cyclists’ perceptions, keys for a successful bicycle promotion (2014)Cycling or walking? Determinants of mode choice in the Netherlands (2018)Discrete Choice Methods and their Applications to Short Term Travel Decisions (1999)Transportation Research Board (2014)Discovering urban activity patterns in cell phone data (2015)Do People Use the Shortest Path? An Empirical Test of Wardrop’s First Principle (2015)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Analysis of Panel Data (2003)The Mixed Logit model: The state of practice (2003)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Promoting Cycling for Transport: Research Needs and Challenges (2014)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)Bikeway Networks: A Review of Effects on Cycling (2015)Mixed MNL models for discrete response (2000)Mail and internet surveys : the tailored design method (2007)Mail and Internet Surveys: The Tailored Design Method (2007)Experimental design influences on stated choice outputs: An empirical study in air travel choice (2010)Barriers to bikesharing: an analysis from Melbourne and Brisbane (2014)An algorithm for the equilibrium assignment problem with random link times (1982)A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS (1996)NETWORK KNOWLEDGE AND ROUTE CHOICE (2002)On Modelling Route Choice Sets in Transportation Networks: A Synthesis (2008)Boundedly rational route choice behavior: A review of models and methodologies (2016)Conditional logit analysis of qualitative choice behavior (1972)Commuting by Bicycle: An Overview of the Literature (2009)The usefulness of GPS bicycle tracking data for evaluating the impact of infrastructure change on cycling behaviour (2016)Why do bicyclists take detours? A multilevel regression model using smartphone GPS data (2018)Qualitative research practice: a guide for social science students and researchers (2003)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)E-bikes in the Mainstream: Reviewing a Decade of Research (2015)To what extent do e-bikes substitute travel by other modes? Evidence from the Netherlands (2017)The impact of e-cycling on travel behaviour: A scoping review (2020)The rise of the e-bike: Towards an extension of the practice of cycling? (2021)Do the Health Benefits of Cycling Outweigh the Risks? (2010)COVID-19 and Public Transportation: Current Assessment, Prospects, and Research Needs (2020)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Interval valued intuitionistic fuzzy AHP-WASPAS based public transportation service quality evaluation by a new extension of SERVQUAL Model: P-SERVQUAL 4.0 (2021)Pandemic waves and the time after Covid-19 – Consequences for the transport sector (2021)Mobile phone location data for disasters: A review from natural hazards and epidemics (2022)A mixed spatially correlated logit model: formulation and application to residential choice modeling (2003)Valuing wetland attributes: an application of choice experiments (2003)The influence of distance and prices on the choice of tourist destinations: The moderating role of motivations (2006)Travel time estimation from sparse floating car data with consistent path inference: A fixed point approach (2017)Understanding the tourist mobility using GPS: How similar are the tourists? (2018)Where should one get news updates: Twitter or Reddit (2018)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2012Where do cyclists ride? A route choice model developed with revealed preference GPS data693 cited
  • 2000Halton Sequences for Mixed Logit472 cited
  • 2011A GPS-based bicycle route choice model for San Francisco, California399 cited
  • 2009An analysis of bicycle route choice preferences in Texas, US345 cited
  • 2010Route choice of cyclists in Zurich320 cited
  • 2016Motives, perceptions and experiences of electric bicycle owners and implications for health, wellbeing and mobility262 cited
  • 2021Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel241 cited
  • 2006Applying Branch-and-Bound Technique to Route Choice Set Generation192 cited
  • 2008Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems131 cited
  • 2014Modeling Cyclists’ Route Choice Based on GPS Data80 cited
  • 2020Route choice of bike share users: Leveraging GPS data to derive choice sets72 cited
  • 2018Evaluating a data-driven approach for choice set identification using GPS bicycle route choice data from Amsterdam71 cited
  • 2017How Do People Cycle in Amsterdam, Netherlands?: Estimating Cyclists’ Route Choice Determinants with GPS Data from an Urban Area66 cited
  • 2018Evaluation of land-use and transport network effects on cyclists' route choices in the Copenhagen Region in value-of-distance space

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65 cited
  • 2018Modeling Cyclist Route Choice using Revealed Preference Data: An Age and Gender Perspective60 cited
  • 2012Route choice sets for very high-resolution data60 cited
  • Cited by

    • 2024Quantitative modelling of cyclists’ route choice behaviour on utilitarian trips based on GPS data: associated factors and behavioural implications28 cited
    • 2024Comparative study of route choice models for cyclists16 cited
    • 2024Bike network planning in limited urban space15 cited
    • 2024Designing an E-Bike City: An automated process for network-wide multimodal road space reallocation13 cited
    • 2024Studying shared bike route choice behavior using a bike-sharing system in Germany10 cited
    • 2024Bike users’ route choice behaviour: Expectations from electric bikes versus reality in Greater Helsinki10 cited
    • 2024Exploring factors affecting route choice of cyclists: A novel varying-contiguity spatially lagged exogenous modeling approach9 cited
    • 2024Exploring University Campus Community’s Perceptions and Barriers toward Biking: A Case Study of the University of Tennessee Knoxville7 cited
    • 2025What influences cycling infrastructure preferences? A stated-preference survey5 cited
    • 2025Will e-bikes revolutionize urban mobility? Development and application of a transport model differentiating between conventional and electric bicycle traffic5 cited
    • 2025Further, steeper, greener: Implications from an electric bicycle mode choice model5 cited
    • 2025Effects of road greenery and sky openness on non-commuting cycling route choice: insights from online map navigation5 cited
    • 2024Identifying non-universal heterogeneity of preferences of leisure cyclists for rural highway environments: A latent-class model5 cited
    • 2025City-scale GPS data reveals impact of spatial configuration and dedicated infrastructure on e-scooter route choice4 cited
    • 2025Cycling route choice preferences: A taste heterogeneity and exogenous segmentation analysis based on age, gender, Geller typology, and e-bike use4 cited
    • 2025Different city = different cycling behaviour? A comparative analysis of cycling behaviour in German cities4 cited