SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Sensing Travel Source–Sink Spatiotemporal Ranges Using Dockless Bicycle Trajectory via Density-Based Adaptive Clustering
16 references·0 citing·48 second hop
Sensing Travel Source–Sink Spatiotemporal Ranges Using Dockless Bicycle Trajectory via Density-Based Adaptive Clustering (2023)Sensing Travel Source–Sink Spatiotemporal…Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility (2023)Data-driven interpretation on…Urban Vitality and its Influencing Factors: Comparative Analysis Based on Taxi Trajectory Data (2022)Urban Vitality and its Influe…Identification of spatial and functional interactions in Beijing based on trajectory data (2022)Identification of spatial and…How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO2 Emissions? An Empirical Study of Nanjing, China (2022)How Does Perceived Neighborho…A spatio-temporal deep learning model for short-term bike-sharing demand prediction (2022)A spatio-temporal deep learni…Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity (2021)Detecting anomalous spatial i…Urban and transport planning pathways to carbon neutral, liveable and healthy cities; A review of the current evidence (2020)Urban and transport planning …Evaluation of sustainable transport research in 2000–2019 (2020)Evaluation of sustainable tra…Optimizing the spatial relocation of hospitals to reduce urban traffic congestion: A case study of Beijing (2019)Optimizing the spatial reloca…Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization (2018)Detecting arbitrarily shaped …Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns (2017)Spatiotemporal model for asse…Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Social Sensing: A New Approac…Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai (2012)Urban land uses and traffic ‘…Land-Use Classification Using Taxi GPS Traces (2012)Land-Use Classification Using…Discovering Spatial Patterns in Origin‐Destination Mobility Data (2012)Discovering Spatial Patterns …From spatial interaction data to spatial interaction information? Geovisualisation and spatial structures of migration from the 2001 UK census (2009)The Structure of Borders in a Small World (2010)Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)The spatial-temporal dynamics of daily intercity mobility in the Yangtze River Delta: An analysis using big data (2020)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Uncovering cabdrivers’ behavior patterns from their digital traces (2010)Urban computing with taxicabs (2011)Uncovering urban human mobility from large scale taxi GPS data (2015)Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations (2018)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Cities and Housing. (1970)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)A new insight into land use classification based on aggregated mobile phone data (2014)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Central Places in Southern Germany (1967)The scaling laws of human travel (2006)Incorporating spatial interaction patterns in classifying and understanding urban land use (2015)Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China (2020)Space and Place: The Perspective of Experience. (1978)Citizens as sensors: the world of volunteered geography (2007)Crowdsourcing geographic information for disaster response: a research frontier (2010)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Measuring human perceptions of a large-scale urban region using machine learning (2018)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)A universal model for mobility and migration patterns (2012)Human dynamics in space and time: A brief history and a view forward (2018)Revealing the relationship of human convergence–divergence patterns and land use: A case study on Shenzhen City, China (2019)SNN_flow: a shared nearest-neighbor-based clustering method for inhomogeneous origin-destination flows (2021)The sustainable mobility paradigm (2007)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Visualizing Bibliometric Networks (2014)What can we learn from the JATM literature for the future of aviation post Covid-19? - A bibliometric and visualization analysis (2020)Selection of IoT service provider for sustainable transport using q-rung orthopair fuzzy CRADIS and unknown weights (2022)Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison (2023)Growth, innovation, scaling, and the pace of life in cities (2007)Travel and the Built Environment (2010)Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016 (2017)New urban models for more sustainable, liveable and healthier cities post covid19; reducing air pollution, noise and heat island effects and increasing green space and physical activity (2021)The climate change mitigation effects of daily active travel in cities (2021)The climate change mitigation effects of daily active travel in cities (2021)Influences of Built Environments on Walking and Cycling: Lessons from Bogotá (2009)Measuring the Built Environment for Physical Activity (2009)Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation (2023)Examining the nonlinear relationship between neighborhood environment and residents' health (2024)Spatial insights for sustainable transportation based on carbon emissions from multiple transport modes: A township-level case study in China (2024)An OD Flow Clustering Method Based on Vector Constraints: A Case Study for Beijing Taxi Origin-Destination Data (2020)Analysis of the spatiotemporal riding modes of dockless shared bicycles based on tensor decomposition (2020)
this work references cited by second hop

References

  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2020Urban and transport planning pathways to carbon neutral, liveable and healthy cities; A review of the current evidence628 cited
  • 2015Revealing travel patterns and city structure with taxi trip data439 cited
  • 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai425 cited
  • 2020Evaluation of sustainable transport research in 2000–2019323 cited
  • 2012Land-Use Classification Using Taxi GPS Traces291 cited
  • 2012Discovering Spatial Patterns in Origin‐Destination Mobility Data173 cited
  • 2023Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility68 cited
  • 2018Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization56 cited
  • 2017Spatiotemporal model for assessing the stability of urban human convergence and divergence patterns49 cited
  • 2022Urban Vitality and its Influencing Factors: Comparative Analysis Based on Taxi Trajectory Data34 cited
  • 2019Optimizing the spatial relocation of hospitals to reduce urban traffic congestion: A case study of Beijing23 cited
  • 2021Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity21 cited
  • 2022

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

Identification of spatial and functional interactions in Beijing based on trajectory data
13 cited
  • 2022How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO2 Emissions? An Empirical Study of Nanjing, China12 cited
  • 2022A spatio-temporal deep learning model for short-term bike-sharing demand prediction9 cited
  • Cited by

    No citing works inside the corpus for this window.