Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China

16 references·11 citing·44 second hop

FromToDepth

this work references cited by second hop

References

2008Understanding individual human mobility patterns6,071 cited
2015Understanding Human Mobility from Twitter558 cited
2014Detecting the dynamics of urban structure through spatial network analysis523 cited
2021The universal visitation law of human mobility428 cited
2020The scales of human mobility361 cited
2020Dockless bike-sharing systems: what are the implications?266 cited
2019A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system195 cited
2019Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system188 cited
2019A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile164 cited
2019Comparative life cycle assessment of station-based and dock-less bike sharing systems153 cited
2017Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London152 cited
2016Urban human mobility data mining: An overview132 cited
2020Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems116 cited
2015High resolution population estimates from telecommunications data102 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2020Understanding intra-urban human mobility through an exploratory spatiotemporal analysis of bike-sharing trajectories85 cited

2020A spatiotemporal dynamic analyses approach for dockless bike-share system52 cited

Cited by

2024Uncovering travel communities among older and younger adults using smart card data22 cited
2023How weather impacts the citizens' activity patterns in southern China? Enlightenment from large-scale mobile phone signaling data of Guangzhou18 cited
2025Deciphering spatiotemporal patterns and mobility network of outdoor jogging utilizing large-scale GPS trajectory data17 cited
2025Bike-sharing systems for sustainable cities: Demand prediction using graph neural networks and spatial aggregation16 cited
2024Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data16 cited
2025Spatiotemporal variations of private e-bike trips with explainable data-driven technologies14 cited
2024Mining individual daily commuting patterns of dockless bike-sharing users: A two-layer framework integrating spatiotemporal flow clustering and rule-based decision trees12 cited
2024The nonlinear effect of atmospheric conditions on middle-school students’ travel mode choices11 cited
2024The intention of continual use of dockless bike sharing connecting with metro: A perspective based on loyal users10 cited
2024Exploring static rebalancing strategies for dockless bicycle sharing systems based on multi-granularity behavioral decision-making8 cited
2024Understanding human mobility and trip demand through sparse trajectories of private e-bikes7 cited