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Characterising and Predicting Urban Mobility Dynamics by Mining Bike Sharing System Data
16 references·3 citing·35 second hop
Characterising and Predicting Urban Mobility Dynamics by Mining Bike Sharing System Data (2015)Characterising and Predicting Urban Mobil…Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data (2014)Intra-Urban Human Mobility an…From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset (2014)From bicycle sharing system m…The Impact of Cost and Network Topology on Urban Mobility: A Study of Public Bicycle Usage in 2 U.S. Cities (2013)The Impact of Cost and Networ…Studying commuting behaviours using collaborative visual analytics (2013)Studying commuting behaviours…Mining bicycle sharing data for generating insights into sustainable transport systems (2013)Mining bicycle sharing data f…Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…Patterns, Entropy, and Predictability of Human Mobility and Life (2012)Patterns, Entropy, and Predic…Next place prediction using mobility Markov chains (2012)Next place prediction using m…Measuring the impact of opening the London shared bicycle scheme to casual users (2012)Measuring the impact of openi…Individuals among commuters: Building personalised transport information services from fare collection systems (2012)Individuals among commuters: …SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE (2011)SHARED BICYCLES IN A CITY: A …Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Urban cycles and mobility pat…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Characterizing the speed and paths of shared bicycle use in Lyon (2010)Characterizing the speed and …Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Understanding individual human mobility patterns (2008)Understanding individual huma…A Point Processes Approach to Bicycle Sharing Systems’ Design and Management (2020)A Point Processes Approach to…Uncovering spatiotemporal structures from transit smart card data for individual mobility modeling (2019)Uncovering spatiotemporal str…Spatiotemporal Mining of BSS Data for Characterising Seasonal Urban Mobility Dynamics (2018)Spatiotemporal Mining of BSS …Understanding mobility based on GPS data (2008)Predicting future locations with hidden Markov models (2012)Understanding Human Mobility from Twitter (2015)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)The London congestion charge: a tentative economic appraisal (2005)Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago (2015)Examining usage patterns of a bike-sharing scheme in a medium sized city (2017)Time Series Analysis: Forecasting and Control. (1978)Traffic prediction in a bike-sharing system (2015)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Explaining walking distance to public transport: The dominance of public transport supply (2013)Health effects of the London bicycle sharing system: health impact modelling study (2014)Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior (2014)Evaluation of sustainable transport research in 2000–2019 (2020)Agent-based modeling: Methods and techniques for simulating human systems (2002)Friendship and mobility (2011)A scalable framework for spatiotemporal analysis of location-based social media data (2015)Incorporating spatial interaction patterns in classifying and understanding urban land use (2015)Uncovering the spatial structure of mobility networks (2015)Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows (2011)Incentivizing Users for Balancing Bike Sharing Systems (2015)Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system (2016)An empirical analysis of bike sharing usage and rebalancing: Evidence from Barcelona and Seville (2017)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Large-Scale Vehicle Sharing Systems: Analysis of Vélib' (2012)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Understanding the tourist mobility using GPS: Where is the next place? (2016)Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh (2016)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2012Next place prediction using mobility Markov chains555 cited
  • 2010Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system446 cited
  • 2013Approaching the Limit of Predictability in Human Mobility381 cited
  • 2013Mining bicycle sharing data for generating insights into sustainable transport systems368 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2011SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE251 cited
  • 2014Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data216 cited
  • 2010Characterizing the speed and paths of shared bicycle use in Lyon196 cited
  • 2012Measuring the impact of opening the London shared bicycle scheme to casual users176 cited
  • 2014From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset92 cited
  • 2012Patterns, Entropy, and Predictability of Human Mobility and Life83 cited
  • 2012Individuals among commuters: Building personalised transport information services from fare collection systems73 cited

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  • 2013Studying commuting behaviours using collaborative visual analytics60 cited
  • 2013The Impact of Cost and Network Topology on Urban Mobility: A Study of Public Bicycle Usage in 2 U.S. Cities40 cited
  • Cited by

    • 2018Spatiotemporal Mining of BSS Data for Characterising Seasonal Urban Mobility Dynamics6 cited
    • 2020A Point Processes Approach to Bicycle Sharing Systems’ Design and Management5 cited
    • 2019Uncovering spatiotemporal structures from transit smart card data for individual mobility modeling4 cited