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Changing Mobility Lifestyle
16 references·1 citing·46 second hop
Changing Mobility Lifestyle (2020)Changing Mobility LifestyleAn Empirical Study of Geographic User Activity Patterns in Foursquare (2021)An Empirical Study of Geograp…COVID-19 data sources: evaluation of map applications and analysis of behavior changes in Europe’s population (2020)COVID-19 data sources: evalua…Using Google Location History data to quantify fine-scale human mobility (2018)Using Google Location History…Using Twitter data in urban green space research: A case study and critical evaluation (2017)Using Twitter data in urban g…Tracking urban human activity from mobile phone calling patterns (2017)Tracking urban human activity…EXPLORING POTENTIAL OF CROWDSOURCED GEOGRAPHIC INFORMATION IN STUDIES OF ACTIVE TRAVEL AND HEALTH: STRAVA DATA AND CYCLING BEHAVIOUR (2017)EXPLORING POTENTIAL OF CROWDS…Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data (2017)Depicting urban boundaries fr…THE POTENTIAL OF STRAVA DATA TO CONTRIBUTE IN NON-MOTORISED TRANSPORT (NMT) PLANNING IN JOHANNESBURG (2016)THE POTENTIAL OF STRAVA DATA …Spectral clustering for sensing urban land use using Twitter activity (2014)Spectral clustering for sensi…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Exploring trajectory-driven local geographic topics in foursquare (2012)Exploring trajectory-driven l…Everyday Life and Spatial Mobility of Young People in Prague: A Pilot Study Using Mobile Phone Location Data (2012)Everyday Life and Spatial Mob…A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)A Tale of Many Cities: Univer…Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks (2010)Does Urban Mobility Have a Da…Chapter 12: What does the Anthropocene hold for citizenship? (1905)Chapter 12: What does the Ant…Changeability of transport behaviour in a large city from the perspective of working days and Sundays: The case of Łódź, Poland (2023)Changeability of transport be…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)Computational socioeconomics (2019)Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London (2021)Understanding individual human mobility patterns (2008)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)The Age of Migration (1998)Friendship and mobility (2011)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Human mobility: Models and applications (2018)Travel and the Built Environment: A Synthesis (2001)Intra-urban human mobility patterns: An urban morphology perspective (2011)Discovering urban activity patterns in cell phone data (2015)Data ex Machina: Introduction to Big Data (2017)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Development of origin–destination matrices using mobile phone call data (2014)The universal visitation law of human mobility (2021)The scaling laws of human travel (2006)Modifiable Areal Unit Problem (2017)Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia (2018)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)Social media and urban mobility: Using twitter to calculate home-work travel matrices (2019)Volunteer Work and Well-Being (2001)The credibility of volunteered geographic information (2008)Who interacts on the Web?: The intersection of users’ personality and social media use (2009)An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago (2018)Beyond Spatial Proximity—Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter Data (2018)Using VGI and Social Media Data to Understand Urban Green Space: A Narrative Literature Review (2021)Limits of Predictability in Human Mobility (2010)Exploring the use of mobile phone data for national migration statistics (2019)Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine (2019)Uncovering temporal changes in Europe’s population density patterns using a data fusion approach (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)Building an inclusive definition of e-learning: An approach to the conceptual framework (2012)Active accessibility: A review of operational measures of walking and cycling accessibility (2015)Learner Engagement in Blended Learning Environments: A Conceptual Framework (2019)
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References

  • 1905Chapter 12: What does the Anthropocene hold for citizenship?11,532 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2021An Empirical Study of Geographic User Activity Patterns in Foursquare490 cited
  • 2010Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks266 cited
  • 2014Spectral clustering for sensing urban land use using Twitter activity205 cited
  • 2018Using Google Location History data to quantify fine-scale human mobility119 cited
  • 2017Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data113 cited
  • 2017Using Twitter data in urban green space research: A case study and critical evaluation94 cited
  • 2012Exploring trajectory-driven local geographic topics in foursquare81 cited
  • 2017Tracking urban human activity from mobile phone calling patterns35 cited
  • 2016THE POTENTIAL OF STRAVA DATA TO CONTRIBUTE IN NON-MOTORISED TRANSPORT (NMT) PLANNING IN JOHANNESBURG32 cited
  • 2020COVID-19 data sources: evaluation of map applications and analysis of behavior changes in Europe’s population

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26 cited
  • 2017EXPLORING POTENTIAL OF CROWDSOURCED GEOGRAPHIC INFORMATION IN STUDIES OF ACTIVE TRAVEL AND HEALTH: STRAVA DATA AND CYCLING BEHAVIOUR17 cited
  • 2012Everyday Life and Spatial Mobility of Young People in Prague: A Pilot Study Using Mobile Phone Location Data17 cited
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    • 2023Changeability of transport behaviour in a large city from the perspective of working days and Sundays: The case of Łódź, Poland7 cited