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Dynamic spatio-temporal interactive clustering strategy for free-floating bike-sharing
16 references·5 citing·42 second hop
Dynamic spatio-temporal interactive clustering strategy for free-floating bike-sharing (2023)Dynamic spatio-temporal interactive clust…A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)A model framework for discove…The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)The station-free sharing bike…Electric fence planning for dockless bike-sharing services (2018)Electric fence planning for d…Challenges of collaborative governance in the sharing economy: The case of free-floating bike sharing in Shanghai (2018)Challenges of collaborative g…A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms (2018)A novel hybrid method of fore…A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)A modeling framework for the …A GIS-based MCDM approach for the evaluation of bike-share stations (2018)A GIS-based MCDM approach for…Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China (2016)Exploring the impact of built…Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Dynamic cluster-based over-de…Sustainable bike-sharing systems: characteristics and commonalities across cases in urban China (2014)Sustainable bike-sharing syst…Mining bicycle sharing data for generating insights into sustainable transport systems (2013)Mining bicycle sharing data f…Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns (2011)Understanding Bike-Sharing Sy…Sensing and predicting the pulse of the city through shared bicycling (2009)Sensing and predicting the pu…Horizontal visibility graphs: Exact results for random time series (2009)Horizontal visibility graphs:…From time series to complex networks: The visibility graph (2008)From time series to complex n…Noise Dressing of Financial Correlation Matrices (1999)Noise Dressing of Financial C…System-Wide Optimization of Free-Floating Bike-Sharing for Urban Rail Stations: A demand prediction and scheduling approach (2025)System-Wide Optimization of F…Optimal location of free-floating bike-sharing dispatching hubs: A multi-scale perspective (2025)Optimal location of free-floa…Explainable Graph Neural Networks for Optimized Allocation in Spatio‐Temporal Bike Sharing Demand Prediction (2025)Explainable Graph Neural Netw…Research on rebalancing of large-scale bike-sharing system driven by zonal heterogeneity and demand uncertainty (2024)Research on rebalancing of la…Analyzing the micro-mobility patterns of shared dockless bike and e-bike systems through multi-scale complex networks (2024)Analyzing the micro-mobility …Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Modelling the potential effect of shared bicycles on public transport travel times in Greater Helsinki: An open data approach (2013)Clarifying the concept of product–service system (2002)Nuevos modelos de negocios en los mercados emergentes (2011)Business models for sustainable innovation: state-of-the-art and steps towards a research agenda (2012)Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior (2014)New design challenges to widely implement ‘Sustainable Product–Service Systems’ (2015)Product service system: A conceptual framework from a systematic review (2016)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)Evaluation of sustainable transport research in 2000–2019 (2020)Fractional Brownian Motions, Fractional Noises and Applications (1968)RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS (2011)Complex network analysis of time series (2016)Portfolio Selection: Efficient Diversification of Investments. 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References

  • 2008From time series to complex networks: The visibility graph1,832 cited
  • 1999Noise Dressing of Financial Correlation Matrices1,244 cited
  • 2009Horizontal visibility graphs: Exact results for random time series788 cited
  • 2013Mining bicycle sharing data for generating insights into sustainable transport systems368 cited
  • 2014Sustainable bike-sharing systems: characteristics and commonalities across cases in urban China321 cited
  • 2011Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns307 cited
  • 2009Sensing and predicting the pulse of the city through shared bicycling307 cited
  • 2018The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets291 cited
  • 2018A modeling framework for the dynamic management of free-floating bike-sharing systems269 cited
  • 2016Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China258 cited
  • 2018Challenges of collaborative governance in the sharing economy: The case of free-floating bike sharing in Shanghai224 cited
  • 2016Dynamic cluster-based over-demand prediction in bike sharing systems204 cited
  • 2019A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system195 cited
  • 2018A GIS-based MCDM approach for the evaluation of bike-share stations

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191 cited
  • 2018Electric fence planning for dockless bike-sharing services180 cited
  • 2018A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms146 cited
  • Cited by

    • 2024Research on rebalancing of large-scale bike-sharing system driven by zonal heterogeneity and demand uncertainty13 cited
    • 2025Explainable Graph Neural Networks for Optimized Allocation in Spatio‐Temporal Bike Sharing Demand Prediction10 cited
    • 2025Optimal location of free-floating bike-sharing dispatching hubs: A multi-scale perspective9 cited
    • 2024Analyzing the micro-mobility patterns of shared dockless bike and e-bike systems through multi-scale complex networks7 cited
    • 2025System-Wide Optimization of Free-Floating Bike-Sharing for Urban Rail Stations: A demand prediction and scheduling approach5 cited