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Exploring the Weekly Travel Patterns of Private Vehicles Using Automatic Vehicle Identification Data: A Case Study of Wuhan, China
16 references·4 citing·42 second hop
Exploring the Weekly Travel Patterns of Private Vehicles Using Automatic Vehicle Identification Data: A Case Study of Wuhan, China (2019)Exploring the Weekly Travel Patterns of P…Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective (2018)Exploring Human Mobility Patt…Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Coupling mobile phone and soc…Applying mobile phone data to travel behaviour research: A literature review (2017)Applying mobile phone data to…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago (2016)Explore spatiotemporal and de…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Understanding Human Mobility from Twitter (2015)Understanding Human Mobility …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…Returners and explorers dichotomy in human mobility (2015)Returners and explorers dicho…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Analysis of human mobility pa…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Spatiotemporal Patterns of Urban Human Mobility (2012)Spatiotemporal Patterns of Ur…Mining Travel Patterns from Geotagged Photos (2012)Mining Travel Patterns from G…Revealing travel patterns and city structure with taxi trip dataRevealing travel patterns and…Public Transport Commuting Analytics: A Longitudinal Study Based on GPS Tracking and Unsupervised Learning (2023)Public Transport Commuting An…Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data (2022)Investigating Travel Flow Dif…Spatial Analysis and Geographic Information Systems as Tools for Sustainability Research (2021)Spatial Analysis and Geograph…Discovering vehicle usage patterns on the basis of daily mobility profiles derived from floating car data (2020)Discovering vehicle usage pat…Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Understanding commuting patterns using transit smart card data (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Power laws, Pareto distributions and Zipf's law (2005)Understanding individual human mobility patterns (2008)Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Power-law distributions in empirical data (2018)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)Social physics (2022)Limits of Predictability in Human Mobility (2010)Modelling the scaling properties of human mobility (2010)Unravelling daily human mobility motifs (2013)The path most traveled: Travel demand estimation using big data resources (2015)The scaling laws of human travel (2006)Incorporating spatial interaction patterns in classifying and understanding urban land use (2015)Uncovering urban human mobility from large scale taxi GPS data (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)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)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)The theory of planned behavior (1991)Big data and analytics in hospitality and tourism: a systematic literature review (2021)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Big data: The next frontier for innovation, competition, and productivity (2011)Transport mode detection based on mobile phone network data: A systematic review (2019)An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain (2020)Exploring the spatiotemporal patterns and correlates of urban vitality: Temporal and spatial heterogeneity (2023)Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)The Geography of Transport Systems (2020)Measuring objective and subjective well-being: dimensions and data sources (2020)The universal visitation law of human mobility (2021)
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References

  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments804 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2015Understanding Human Mobility from Twitter558 cited
  • 2015Returners and explorers dichotomy in human mobility491 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2015Revealing travel patterns and city structure with taxi trip data408 cited
  • 2017Applying mobile phone data to travel behaviour research: A literature review368 cited
  • 2017Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns298 cited
  • 2012Spatiotemporal Patterns of Urban Human Mobility282 cited
  • 2015Analysis of human mobility patterns from GPS trajectories and contextual information275 cited
  • n.d.Revealing travel patterns and city structure with taxi trip data246 cited
  • 2012Mining Travel Patterns from Geotagged Photos229 cited
  • 2016

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Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago
225 cited
  • 2018Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective149 cited
  • Cited by

    • 2023Public Transport Commuting Analytics: A Longitudinal Study Based on GPS Tracking and Unsupervised Learning15 cited
    • 2020Discovering vehicle usage patterns on the basis of daily mobility profiles derived from floating car data12 cited
    • 2022Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data8 cited
    • 2021Spatial Analysis and Geographic Information Systems as Tools for Sustainability Research6 cited