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An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada
16 references·12 citing·39 second hop
An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada (2018)An exploration of the interaction between…Human mobility: Models and applications (2018)Human mobility: Models and ap…Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges (2016)Exploring the capacity of soc…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 …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-…Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion (2014)Subways, Strikes, and Slowdow…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Understanding urban human activity and mobility patterns using large-scale location-based data from online social media (2013)Understanding urban human act…TEDAS: A Twitter-based Event Detection and Analysis System (2012)TEDAS: A Twitter-based Event …Predicting future locations with hidden Markov models (2012)Predicting future locations w…Information credibility on twitter (2011)Information credibility on tw…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…A day-to-day and within-day dynamic stochastic assignment model (1991)A day-to-day and within-day d…Measuring exposure and contribution of different types of activity travels to traffic congestion using GPS trajectory data (2024)Measuring exposure and contri…Advancing human mobility modeling: a novel path flow approach to mining traffic congestion dynamics (2024)Advancing human mobility mode…Predictors of transportation-related barriers to healthcare access in a North American suburb (2023)Predictors of transportation-…Inferring nonwork travel semantics and revealing the nonlinear relationships with the community built environment (2023)Inferring nonwork travel sema…An activity space-based gravity model for intracity human mobility flows (2023)An activity space-based gravi…Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing (2022)Revealing spatiotemporal matc…An alternative method for assessing urban transportation carrying capacity (2022)An alternative method for ass…Identification and analysis of urban influential regions using spatial interaction networks (2021)Identification and analysis o…Continuance Intention in Traffic-Related Social Media: A Privacy Calculus Perspective (2021)Continuance Intention in Traf…Land Use Change, Spatial Interaction, and Sustainable Development in the Metropolitan Urban Areas, South Sulawesi Province, Indonesia (2020)Land Use Change, Spatial Inte…A Social Media Based Approach for Route Planning During Urban Events (2020)A Social Media Based Approach…Understanding continuance intention in traffic-related social media (2019)Understanding continuance int…Reality mining: sensing complex social systems (2005)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Returners and explorers dichotomy in human mobility (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Power laws, Pareto distributions and Zipf's law (2005)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)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)The Economics of Urban Transportation (2007)Robust Inference With Multiway Clustering (2011)The Fundamental Law of Road Congestion: Evidence from US Cities (2011)Evaluating Public Transit Benefits and Costs (2015)Quantitative Spatial Economics (2017)High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach (2021)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)The elements of computer credibility (1999)"OMG, from here, I can see the flames!" 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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2011Information credibility on twitter2,572 cited
  • 2018Human mobility: Models and applications1,032 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2015Understanding Human Mobility from Twitter558 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2014Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion460 cited
  • 2012TEDAS: A Twitter-based Event Detection and Analysis System451 cited
  • 2014Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data393 cited
  • 2012Predicting future locations with hidden Markov models384 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
  • 1991A day-to-day and within-day dynamic stochastic assignment model

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255 cited
  • 2016Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges253 cited
  • Cited by

    • 2020Land Use Change, Spatial Interaction, and Sustainable Development in the Metropolitan Urban Areas, South Sulawesi Province, Indonesia168 cited
    • 2022Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing36 cited
    • 2023An activity space-based gravity model for intracity human mobility flows33 cited
    • 2024Measuring exposure and contribution of different types of activity travels to traffic congestion using GPS trajectory data24 cited
    • 2023Inferring nonwork travel semantics and revealing the nonlinear relationships with the community built environment22 cited
    • 2021Continuance Intention in Traffic-Related Social Media: A Privacy Calculus Perspective18 cited
    • 2019Understanding continuance intention in traffic-related social media17 cited
    • 2023Predictors of transportation-related barriers to healthcare access in a North American suburb16 cited
    • 2022An alternative method for assessing urban transportation carrying capacity10 cited
    • 2024Advancing human mobility modeling: a novel path flow approach to mining traffic congestion dynamics8 cited
    • 2021Identification and analysis of urban influential regions using spatial interaction networks6 cited
    • 2020A Social Media Based Approach for Route Planning During Urban Events5 cited