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Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak
16 references·16 citing·49 second hopsampled
Spatiotemporal evolving patterns of bike-share mobility networks and their associations with land-use conditions before and after the COVID-19 outbreak (2021)Spatiotemporal evolving patterns of bike-…Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis (2021)Impacts of COVID-19 pandemic …Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic (2021)Examining spatiotemporal chan…Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future (2021)Cycling in the Era of COVID-1…Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system (2019)Unravel the landscape and pul…A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)A spatiotemporal and graph-ba…A review on bike-sharing: The factors affecting bike-sharing demand (2019)A review on bike-sharing: The…A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system (2019)A model framework for discove…Understanding the usage of dockless bike sharing in Singapore (2018)Understanding the usage of do…Bike-sharing systems and congestion: Evidence from US cities (2017)Bike-sharing systems and cong…How does our natural and built environment affect the use of bicycle sharing? (2016)How does our natural and buil…Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago (2015)Understanding Spatiotemporal …Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Effects of built environment …Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris (2014)Model-Based Count Series Clus…Detecting the dynamics of urban structure through spatial network analysis (2014)Detecting the dynamics of urb…SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE (2011)SHARED BICYCLES IN A CITY: A …Integrating Bicycling and Public Transport in North America (2009)Integrating Bicycling and Pub…Addressing COVID-induced changes in spatiotemporal travel mobility and community structure utilizing trip data: An innovative graph-based deep learning approach (2024)Addressing COVID-induced chan…When crisis hits: Bike-Sharing platforms amid the Covid-19 pandemic (2023)When crisis hits: Bike-Sharin…Understanding dockless bike-sharing spatiotemporal travel patterns: Evidence from ten cities in China (2023)Understanding dockless bike-s…Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility (2023)Systematic literature review …Potential of Bike Sharing During Disruptive Public Health Crises: A Review of COVID-19 Impacts (2023)Potential of Bike Sharing Dur…Exploring year-to-year spatiotemporal changes in cycling patterns for bike-sharing system in the pre-, during and post-pandemic periods (2023)Exploring year-to-year spatio…Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis (2023)Exploring the potential role …COVID-19 and cycling: a review of the literature on changes in cycling levels and government policies from 2019 to 2022 (2023)COVID-19 and cycling: a revie…Can dockless and docked bike-sharing substitute each other? Evidence from Nanjing, China (2023)Can dockless and docked bike-…The periodicity and initial evolution of micro-mobility systems: a case study of the docked bike-sharing system in New York City, USA (2022)The periodicity and initial e…Short- and long-term effects of COVID-19 on bicycle sharing usage (2022)Short- and long-term effects …Riding the wave: Predicting the use of the bike-sharing system in Barcelona before and during COVID-19 (2022)Riding the wave: Predicting t…Investigation of modal integration of bike-sharing and public transit in Seoul for the holders of 365-day passes (2022)Investigation of modal integr…Effects of a bike sharing system and COVID-19 on low-carbon traffic modal shift and emission reduction (2022)Effects of a bike sharing sys…Causal impacts of the COVID-19 pandemic on daily ridership of public bicycle sharing in Seoul (2022)Causal impacts of the COVID-1…A long-term perspective on the COVID-19: The bike sharing system resilience under the epidemic environment (2022)A long-term perspective on th…Modelling the scaling properties of human mobility (2010)A universal model for mobility and migration patterns (2012)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Deciphering the spatial structure of China's megacity region: A new bay area—The Guangdong-Hong Kong-Macao Greater Bay Area in the making (2018)The Geography of Transport Systems (2020)Big data and analytics in hospitality and tourism: a systematic literature review (2021)Sensing and predicting the pulse of the city through shared bicycling (2009)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)Travel and the Built Environment: A Synthesis (2001)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Built environment effects on the integration of dockless bike-sharing and the metro (2020)Travel demand and the 3Ds: Density, diversity, and design (1997)Bikesharing in Europe, the Americas, and Asia (2010)Bicycle sharing system ‘success’ determinants (2017)Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway (2020)PRACTITIONERS’ CORNER: Computing Robust Standard Errors for Within‐groups Estimators * (1987)Growth, innovation, scaling, and the pace of life in cities (2007)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Comparative life cycle assessment of station-based and dock-less bike sharing systems (2019)Influence of service quality in sharing economy: Understanding customers’ continuance intention of bicycle sharing (2020)How Accessibility Shapes Land Use (1959)Travel and the Built Environment (2010)Understanding intention and behavior toward sustainable usage of bike sharing by extending the theory of planned behavior (2019)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Dockless bike-sharing systems: what are the implications? (2020)Understanding individual human mobility patterns (2008)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China (2020)First-mover firms in the transition towards the sharing economy in metallic natural resource-intensive industries: Implications for the circular economy and emerging industry 4.0 technologies (2020)Identifying the nonlinear relationship between free-floating bike sharing usage and built environment (2020)Commuting by Bicycle: An Overview of the Literature (2009)Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: Analytical framework and empirical evidence (2020)Sustainable Mobility: A Review of Possible Actions and Policies (2020)The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike (2020)Environmental benefits of bike sharing: A big data-based analysis (2018)THE REFINEMENT TO THE 2006 IPCC GUIDELINES FOR NATIONAL GREENHOUSE GAS INVENTORIES (2019)The sharing economy promotes sustainable societies (2019)Government regulation to promote coordinated emission reduction among enterprises in the green supply chain based on evolutionary game analysis (2022)The impact of carbon emission trading policy on firms’ green innovation in China (2022)COVID-19 and Racial/Ethnic Disparities (2020)Economic and social consequences of human mobility restrictions under COVID-19 (2020)The effect of COVID-19 and subsequent social distancing on travel behavior (2020)COVID-19, the Built Environment, and Health (2021)Improving short-term bike sharing demand forecast through an irregular convolutional neural network (2022)
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References

  • 2015Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto570 cited
  • 2014Detecting the dynamics of urban structure through spatial network analysis523 cited
  • 2019A review on bike-sharing: The factors affecting bike-sharing demand460 cited
  • 2018Understanding the usage of dockless bike sharing in Singapore421 cited
  • 2011SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE251 cited
  • 2021Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis223 cited
  • 2017Bike-sharing systems and congestion: Evidence from US cities219 cited
  • 2016How does our natural and built environment affect the use of bicycle sharing?215 cited
  • 2019A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system195 cited
  • 2021Examining spatiotemporal changing patterns of bike-sharing usage during COVID-19 pandemic192 cited
  • 2019Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system188 cited
  • 2021Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future186 cited
  • 2014Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris182 cited

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  • 2015Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago176 cited
  • 2009Integrating Bicycling and Public Transport in North America176 cited
  • 2019A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile164 cited
  • Cited by

    • 2023COVID-19 and cycling: a review of the literature on changes in cycling levels and government policies from 2019 to 202257 cited
    • 2023Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility54 cited
    • 2022Riding the wave: Predicting the use of the bike-sharing system in Barcelona before and during COVID-1941 cited
    • 2023Understanding dockless bike-sharing spatiotemporal travel patterns: Evidence from ten cities in China38 cited
    • 2022Investigation of modal integration of bike-sharing and public transit in Seoul for the holders of 365-day passes37 cited
    • 2022Causal impacts of the COVID-19 pandemic on daily ridership of public bicycle sharing in Seoul30 cited
    • 2022A long-term perspective on the COVID-19: The bike sharing system resilience under the epidemic environment29 cited
    • 2023Potential of Bike Sharing During Disruptive Public Health Crises: A Review of COVID-19 Impacts24 cited
    • 2023Exploring year-to-year spatiotemporal changes in cycling patterns for bike-sharing system in the pre-, during and post-pandemic periods22 cited
    • 2022Effects of a bike sharing system and COVID-19 on low-carbon traffic modal shift and emission reduction21 cited
    • 2023Can dockless and docked bike-sharing substitute each other? Evidence from Nanjing, China20 cited
    • 2023Exploring the potential role of bikeshare to complement public transit: The case of San Francisco amid the coronavirus crisis16 cited
    • 2022Short- and long-term effects of COVID-19 on bicycle sharing usage14 cited
    • 2024Addressing COVID-induced changes in spatiotemporal travel mobility and community structure utilizing trip data: An innovative graph-based deep learning approach12 cited
    • 2022The periodicity and initial evolution of micro-mobility systems: a case study of the docked bike-sharing system in New York City, USA11 cited
    • 2023When crisis hits: Bike-Sharing platforms amid the Covid-19 pandemic11 cited