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Sensing the Pulse of Urban Activity Centers Leveraging Bike Sharing Open Data
7 references·3 citing·47 second hop
Sensing the Pulse of Urban Activity Centers Leveraging Bike Sharing Open Data (2015)Sensing the Pulse of Urban Activity Cente…City-Scale Social Event Detection and Evaluation with Taxi Traces (2015)City-Scale Social Event Detec…Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Modeling User Activity Prefer…How big is the crowd? (2013)How big is the crowd?From taxi GPS traces to social and community dynamics (2013)From taxi GPS traces to socia…Optimizing the location of stations in bike-sharing programs: A GIS approach (2012)Optimizing the location of st…Urban computing with taxicabs (2011)Urban computing with taxicabsBike-sharing: History, Impacts, Models of Provision, and Future (2009)Bike-sharing: History, Impact…Detecting the Demand Changes of Bike Sharing: A Bayesian Hierarchical Approach (2020)Detecting the Demand Changes …Where You Really Are: User Trip Based City Functional Zone Ascertainment (2018)Where You Really Are: User Tr…Understanding bike trip patterns leveraging bike sharing system open data (2016)Understanding bike trip patte…Uncovering individual and collective human dynamics from mobile phone records (2008)Inferring friendship network structure by using mobile phone data (2009)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Fine-Grained Urban Event Detection and Characterization Based on Tensor Cofactorization (2016)Data-Driven Techniques in Disaster Information Management (2017)Understanding Urban Dynamics From Massive Mobile Traffic Data (2017)OpenStreetMap: User-Generated Street Maps (2008)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix (2015)Analyzing large-scale human mobility data: a survey of machine learning methods and applications (2018)TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data (2018)Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph (1964)The Location of Emergency Service Facilities (1971)THE MAXIMAL COVERING LOCATION PROBLEM (1974)Bike sharing: A review of evidence on impacts and processes of implementation and operation (2015)Modeling Bike Share Station Activity: Effects of Nearby Businesses and Jobs on Trips to and from Stations (2015)A review on bike-sharing: The factors affecting bike-sharing demand (2019)Friendship and mobility (2011)Discovering regions of different functions in a city using human mobility and POIs (2012)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Exploring Millions of Footprints in Location Sharing Services (2021)A survey on deep learning for human mobility (2023)I'm the mayor of my house (2011)Smart cities, urban sensing, and big data: mining geo-location in social networks (2017)Using Social Media for Attendees Density Estimation in City-Scale Events (2018)Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data (2020)Reality mining: sensing complex social systems (2005)Understanding intra-urban trip patterns from taxi trajectory data (2012)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Revealing travel patterns and city structure with taxi trip data (2015)Sensing and predicting the pulse of the city through shared bicycling (2009)Bikesharing in Europe, the Americas, and Asia (2010)Context Aware Flow Prediction of Bike Sharing Systems (2018)Integrating GPS trajectory and topics from Twitter stream for human mobility estimation (2018)Unraveling urban bike-sharing dynamics: Spatiotemporal imbalances in bike rentals and returns in Washington D.C. (2025)Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation (2016)Station-to-User Transfer Learning (2020)Exploring Passengers’ Dependency Variety on Stations’ Functions in Urban Subway (2021)Rechargeable Battery Cabinet Deployment for Public Bike System (2022)A Hidden Markov Model of Customer Relationship Dynamics (2008)A survey of methods for time series change point detection (2016)Selective review of offline change point detection methods (2019)Bicycling renaissance in North America? An update and re-appraisal of cycling trends and policies (2011)Bikeshare: A Review of Recent Literature (2015)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)
this work references cited by second hop

References

  • 2009Bike-sharing: History, Impacts, Models of Provision, and Future1,070 cited
  • 2014Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs857 cited
  • 2011Urban computing with taxicabs529 cited
  • 2012Optimizing the location of stations in bike-sharing programs: A GIS approach436 cited
  • 2013From taxi GPS traces to social and community dynamics253 cited
  • 2015City-Scale Social Event Detection and Evaluation with Taxi Traces59 cited
  • 2013How big is the crowd?22 cited

Cited by

  • 2016Understanding bike trip patterns leveraging bike sharing system open data20 cited
  • 2020Detecting the Demand Changes of Bike Sharing: A Bayesian Hierarchical Approach13 cited
  • 2018Where You Really Are: User Trip Based City Functional Zone Ascertainment7 cited

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