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Location Contexts of User Check-Ins to Model Urban Geo Life-Style Patterns
16 references·16 citing·44 second hopsampled
Location Contexts of User Check-Ins to Model Urban Geo Life-Style Patterns (2015)Location Contexts of User Check-Ins to Mo…The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)The Livehoods Project: Utiliz…Predicting Depression via Social Media (2021)Predicting Depression via Soc…Exploring Millions of Footprints in Location Sharing Services (2021)Exploring Millions of Footpri…An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)An Empirical Study of Geograp…Urban activity pattern classification using topic models from online geo-location data (2014)Urban activity pattern classi…Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Uncovering Patterns of Inter-…Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data (2014)Intra-Urban Human Mobility an…Understanding urban human activity and mobility patterns using large-scale location-based data from online social media (2013)Understanding urban human act…gSCorr (2012)gSCorrA Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)A Tale of Many Cities: Univer…Friendship and mobility (2011)Friendship and mobilityUnderstanding individual human mobility patterns (2008)Understanding individual huma…Geodemographics, GIS and Neighbourhood Targeting (2007)Geodemographics, GIS and Neig…The effects of attitudes and personality traits on mode choice (2005)The effects of attitudes and …What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice (2004)What type of vehicle do peopl…The Use of the Life-Style Concept in Travel Demand Models (1983)The Use of the Life-Style Con…Recent Progress in Activity-Based Travel Demand Modeling: Rising Data and Applicability (2020)Recent Progress in Activity-B…Integrated Multimedia City Data (iMCD): A composite survey and sensing approach to understanding urban living and mobility (2019)Integrated Multimedia City Da…From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data (2019)From individual to collective…Destination choice modeling using location-based social media data (2019)Destination choice modeling u…Use and validation of location-based services in urban research: An example with Dutch restaurants (2018)Use and validation of locatio…Understanding travellers’ preferences for different types of trip destination based on mobile internet usage data (2018)Understanding travellers’ pre…ICT, activity space–time and mobility: new insights, new models, new methodologies (2018)ICT, activity space–time and …Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning (2018)Discovering Latent Patterns o…Crisis Communication Patterns in Social Media during Hurricane Sandy (2018)Crisis Communication Patterns…An automated approach from GPS traces to complete trip information (2018)An automated approach from GP…Travel analytics: Understanding how destination choice and business clusters are connected based on social media data (2017)Travel analytics: Understandi…Reconstructing Activity Location Sequences From Incomplete Check-In Data: A Semi-Markov Continuous-Time Bayesian Network Model (2017)Reconstructing Activity Locat…Observing individual dynamic choices of activity chains from location-based crowdsourced data (2017)Observing individual dynamic …Understanding Social Influence in Activity Location Choice and Lifestyle Patterns Using Geolocation Data from Social Media (2016)Understanding Social Influenc…Spatial and Social Media Data Analytics of Housing Prices in Shenzhen, China (2016)Spatial and Social Media Data…Comparative Perspective of Human Behavior Patterns to Uncover Ownership Bias among Mobile Phone Users (2016)Comparative Perspective of Hu…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Power-Law Distributions in Empirical Data (2009)A survey of results on mobile phone datasets analysis (2015)Understanding Human Mobility from Twitter (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Power-law distributions in empirical data (2018)Revealing travel patterns and city structure with taxi trip dataA Computer Movie Simulating Urban Growth in the Detroit Region (1970)Citizens as sensors: the world of volunteered geography (2007)Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)Discrete Choice Analysis: Theory and Application to Travel Demand. 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(1984)The Epidemiology of Major Depressive Disorder (2003)Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity (2014)Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions (2020)Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020)Reality mining: sensing complex social systems (2005)Inferring friendship network structure by using mobile phone data (2009)Exploring temporal effects for location recommendation on location-based social networks (2013)Measuring spatial accessibility to healthcare for populations with multiple transportation modes (2013)Social Media data: Challenges, opportunities and limitations in urban studies (2018)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2011Friendship and mobility2,912 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2021Exploring Millions of Footprints in Location Sharing Services685 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2005The effects of attitudes and personality traits on mode choice576 cited
  • 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City565 cited
  • 2021An Empirical Study of Geographic User Activity Patterns in Foursquare490 cited
  • 2004What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice444 cited
  • 2014Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data393 cited
  • 2013Understanding urban human activity and mobility patterns using large-scale location-based data from online social media315 cited
  • 2014Urban activity pattern classification using topic models from online geo-location data289 cited
  • 2007Geodemographics, GIS and Neighbourhood Targeting254 cited
  • 1983The Use of the Life-Style Concept in Travel Demand Models239 cited
  • 2014Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data

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216 cited
  • 2012gSCorr200 cited
  • Cited by

    • 2016Spatial and Social Media Data Analytics of Housing Prices in Shenzhen, China99 cited
    • 2018Crisis Communication Patterns in Social Media during Hurricane Sandy90 cited
    • 2018Understanding travellers’ preferences for different types of trip destination based on mobile internet usage data56 cited
    • 2017Reconstructing Activity Location Sequences From Incomplete Check-In Data: A Semi-Markov Continuous-Time Bayesian Network Model49 cited
    • 2018An automated approach from GPS traces to complete trip information47 cited
    • 2019From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data44 cited
    • 2017Travel analytics: Understanding how destination choice and business clusters are connected based on social media data38 cited
    • 2016Understanding Social Influence in Activity Location Choice and Lifestyle Patterns Using Geolocation Data from Social Media33 cited
    • 2018Use and validation of location-based services in urban research: An example with Dutch restaurants33 cited
    • 2018ICT, activity space–time and mobility: new insights, new models, new methodologies26 cited
    • 2019Integrated Multimedia City Data (iMCD): A composite survey and sensing approach to understanding urban living and mobility25 cited
    • 2018Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning23 cited
    • 2020Recent Progress in Activity-Based Travel Demand Modeling: Rising Data and Applicability22 cited
    • 2019Destination choice modeling using location-based social media data21 cited
    • 2017Observing individual dynamic choices of activity chains from location-based crowdsourced data20 cited
    • 2016Comparative Perspective of Human Behavior Patterns to Uncover Ownership Bias among Mobile Phone Users19 cited