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Crowdsourced data for bicycling research and practice
16 references·16 citing·47 second hopsampled
Crowdsourced data for bicycling research and practice (2020)Crowdsourced data for bicycling research …What factors influence bike share ridership? An investigation of Hamilton, Ontario’s bike share hubs (2019)What factors influence bike s…The world’s user-generated road map is more than 80% complete (2017)The world’s user-generated ro…Big Data in Public Health: Terminology, Machine Learning, and Privacy (2017)Big Data in Public Health: Te…Mapping ridership using crowdsourced cycling data (2016)Mapping ridership using crowd…Where does bicycling for health happen? Analysing volunteered geographic information through place and plexus (2015)Where does bicycling for heal…Dutch Cycling: Quantifying the Health and Related Economic Benefits (2015)Dutch Cycling: Quantifying th…Big Data and Cycling (2015)Big Data and CyclingPromoting Cycling for Transport: Research Needs and Challenges (2014)Promoting Cycling for Transpo…Planning and Social Media: A Case Study of Public Transit and Stigma on Twitter (2014)Planning and Social Media: A …Perceived traffic risk for cyclists: The impact of near miss and collision experiences (2014)Perceived traffic risk for cy…Internet, Phone, Mail, and Mixed‐Mode Surveys (2014)Internet, Phone, Mail, and Mi…Health Impact Modelling of Active Travel Visions for England and Wales Using an Integrated Transport and Health Impact Modelling Tool (ITHIM) (2013)Health Impact Modelling of Ac…City Cycling (2012)City CyclingUsing Global Positioning Systems in Health Research (2011)Using Global Positioning Syst…The health risks and benefits of cycling in urban environments compared with car use: health impact assessment study (2011)The health risks and benefits…Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method (2008)Internet, Mail, and Mixed-Mod…The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review (2024)The use of crowdsourced mobil…Systematic review of best practices for GPS data usage, processing, and linkage in health, exposure science and environmental context research (2024)Systematic review of best pra…Quantitative modelling of cyclists’ route choice behaviour on utilitarian trips based on GPS data: associated factors and behavioural implications (2024)Quantitative modelling of cyc…A data-driven conceptual framework for understanding the nature of hazards in railway accidents (2024)A data-driven conceptual fram…Planning bikeway network for urban commute based on mobile phone data: A case study of Beijing (2023)Planning bikeway network for …A joint bicycle route choice model for various cycling frequencies and trip distances based on a large crowdsourced GPS dataset (2023)A joint bicycle route choice …A framework for modern time geography: emphasizing diverse constraints on accessibility (2023)A framework for modern time g…Where to improve cycling infrastructure? Assessing bicycle suitability and bikeability with open data in the city of Paris (2022)Where to improve cycling infr…Riding through the pandemic: Using Strava data to monitor the impacts of COVID-19 on spatial patterns of bicycling (2022)Riding through the pandemic: …Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis (2022)Neighborhood Characteristics …Have Paved Trails and Protected Bike Lanes Led to More Bicycling in Atlanta?: A Generalized Synthetic-Control Analysis (2022)Have Paved Trails and Protect…Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics (2022)Developing urban biking typol…Who were these bike lanes built for? Social-spatial inequities in Vancouver's bikeways, 2001–2016 (2021)Who were these bike lanes bui…Sources and Applications of Emerging Active Travel Data: A Review of the Literature (2021)Sources and Applications of E…Biking where Black: Connecting transportation planning and infrastructure to disproportionate policing (2021)Biking where Black: Connectin…A Survey of Technologies and Recent Developments for Sustainable Smart Cycling (2021)A Survey of Technologies and …Neighborhoods and Health (2003)Understanding and representing ‘place’ in health research: A relational approach (2007)Built Environment Correlates of Walking (2008)Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis (2014)Associations of Objectively Measured Built-Environment Attributes with Youth Moderate–Vigorous Physical Activity: A Systematic Review and Meta-Analysis (2015)Measuring objective and subjective well-being: dimensions and data sources (2020)Structural Equations with Latent Variables. (1991)Authentic leadership development: Getting to the root of positive forms of leadership (2005)The sustainable mobility paradigm (2007)Bikeway Networks: A Review of Effects on Cycling (2015)Does More Cycling Mean More Diversity in Cycling? (2015)Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel (2021)Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport (2009)Do the Health Benefits of Cycling Outweigh the Risks? (2010)Inequalities in the London bicycle sharing system revisited: impacts of extending the scheme to poorer areas but then doubling prices (2014)Urban Form, Air Pollution, and Health (2017)Urban health: an example of a “health in all policies” approach in the context of SDGs implementation (2019)Perception of Risk (1987)The theory of planned behavior (1991)Gender differences in risk taking: A meta-analysis. (1999)BikeMaps.org: A Global Tool for Collision and Near Miss Mapping (2015)Using mental mapping to unpack perceived cycling risk (2016)Toward feminist geographies of cycling (2019)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Quality Assessment of the French OpenStreetMap Dataset (2010)A review of volunteered geographic information quality assessment methods (2016)Global maps of travel time to healthcare facilities (2020)Assessing bikeability with street view imagery and computer vision (2021)A spatio-temporal analysis investigating completeness and inequalities of global urban building data in OpenStreetMap (2023)11. The Right to Privacy (1890)Social Conditions As Fundamental Causes of Disease (1995)Semantics derived automatically from language corpora contain human-like biases (2017)Integrating Ethics within Machine Learning Courses (2019)Values, challenges and future directions of big data analytics in healthcare: A systematic review (2019)Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance (2021)Selection Bias in Web Surveys (2010)Identifying careless responses in survey data. (2012)Developing questionnaires for educational research: AMEE Guide No. 87 (2014)Bike share’s impact on car use: Evidence from the United States, Great Britain, and Australia (2014)Health impact assessment of active transportation: A systematic review (2015)City planning and population health: a global challenge (2016)Demand for Public Transport in Germany and the USA: An Analysis of Rider Characteristics (2012)Cycling as transport (2015)Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China (2018)Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis (2014)A Tale of Two Sample Sources: Do Results from Online Panel Data and Conventional Data Converge? (2018)Web Versus Other Survey Modes: An Updated and Extended Meta-Analysis Comparing Response Rates (2019)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2008Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method5,336 cited
  • 2014Internet, Phone, Mail, and Mixed‐Mode Surveys4,513 cited
  • 2011The health risks and benefits of cycling in urban environments compared with car use: health impact assessment study691 cited
  • 2017The world’s user-generated road map is more than 80% complete464 cited
  • 2014Promoting Cycling for Transport: Research Needs and Challenges454 cited
  • 2017Big Data in Public Health: Terminology, Machine Learning, and Privacy325 cited
  • 2011Using Global Positioning Systems in Health Research242 cited
  • 2013Health Impact Modelling of Active Travel Visions for England and Wales Using an Integrated Transport and Health Impact Modelling Tool (ITHIM)219 cited
  • 2012City Cycling218 cited
  • 2014Perceived traffic risk for cyclists: The impact of near miss and collision experiences210 cited
  • 2016Mapping ridership using crowdsourced cycling data189 cited
  • 2014Planning and Social Media: A Case Study of Public Transit and Stigma on Twitter186 cited
  • 2015Big Data and Cycling160 cited
  • 2015Dutch Cycling: Quantifying the Health and Related Economic Benefits140 cited
  • 2015Where does bicycling for health happen? Analysing volunteered geographic information through place and plexus

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113 cited
  • 2019What factors influence bike share ridership? An investigation of Hamilton, Ontario’s bike share hubs104 cited
  • Cited by

    • 2021Biking where Black: Connecting transportation planning and infrastructure to disproportionate policing68 cited
    • 2021A Survey of Technologies and Recent Developments for Sustainable Smart Cycling54 cited
    • 2022Where to improve cycling infrastructure? Assessing bicycle suitability and bikeability with open data in the city of Paris53 cited
    • 2023A joint bicycle route choice model for various cycling frequencies and trip distances based on a large crowdsourced GPS dataset47 cited
    • 2021Who were these bike lanes built for? Social-spatial inequities in Vancouver's bikeways, 2001–201635 cited
    • 2023A framework for modern time geography: emphasizing diverse constraints on accessibility31 cited
    • 2024Quantitative modelling of cyclists’ route choice behaviour on utilitarian trips based on GPS data: associated factors and behavioural implications28 cited
    • 2021Sources and Applications of Emerging Active Travel Data: A Review of the Literature28 cited
    • 2022Riding through the pandemic: Using Strava data to monitor the impacts of COVID-19 on spatial patterns of bicycling28 cited
    • 2022Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis26 cited
    • 2024Systematic review of best practices for GPS data usage, processing, and linkage in health, exposure science and environmental context research21 cited
    • 2024The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review20 cited
    • 2022Have Paved Trails and Protected Bike Lanes Led to More Bicycling in Atlanta?: A Generalized Synthetic-Control Analysis19 cited
    • 2022Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics18 cited
    • 2024A data-driven conceptual framework for understanding the nature of hazards in railway accidents17 cited
    • 2023Planning bikeway network for urban commute based on mobile phone data: A case study of Beijing15 cited