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Mobility difference index: a quantitative method for detecting human mobility difference
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Mobility difference index: a quantitative method for detecting human mobility difference (2024)Mobility difference index: a quantitative…The universal visitation law of human mobility (2021)The universal visitation law …The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic (2021)The characteristics of multi-…Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges (2021)Human mobility data in the CO…Public governance mechanism in the prevention and control of the COVID-19: information, decision-making and execution (2020)Public governance mechanism i…Changing travel patterns in China during the early stages of the COVID-19 pandemic (2020)Changing travel patterns in C…Urban human mobility data mining: An overview (2016)Urban human mobility data min…Extracting and understanding urban areas of interest using geotagged photos (2015)Extracting and understanding …The impact of social segregation on human mobility in developing and industrialized regions (2014)The impact of social segregat…Quantifying Human Mobility Perturbation and Resilience in Hurricane Sandy (2014)Quantifying Human Mobility Pe…Breaking the habit: Measuring and predicting departures from routine in individual human mobility (2013)Breaking the habit: Measuring…Spatiotemporal Patterns of Urban Human Mobility (2012)Spatiotemporal Patterns of Ur…Modelling the scaling properties of human mobility (2010)Modelling the scaling propert…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…The scaling laws of human travel (2006)The scaling laws of human tra…A Computer Movie Simulating Urban Growth in the Detroit Region (1970)A Computer Movie Simulating U…HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units (2025)HMS-PAU-IN: A heterogeneous m…Exploring the spatiotemporal dynamics and resilience assessment of urban networks from the perspective of population flow (2025)Exploring the spatiotemporal …Analyzing Key Factors Influencing Human Mobility Before and During COVID ‐19 With Explainable Machine Learning (2024)Analyzing Key Factors Influen…Citizens as sensors: the world of volunteered geography (2007)The wisdom hierarchy: representations of the DIKW hierarchy (2007)OpenStreetMap: User-Generated Street Maps (2008)Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Social Media data: Challenges, opportunities and limitations in urban studies (2018)Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing (2019)Innovation Diffusion As a Spatial Process (1967)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)A measure of spatial stratified heterogeneity (2016)Multiscale Geographically Weighted Regression (MGWR) (2017)The origin of bursts and heavy tails in human dynamics (2005)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Reality mining: sensing complex social systems (2005)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Governance as theory: five propositions (1998)A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape (2020)Crisis governance, Chinese style: distinctive features of China’s response to the Covid-19 pandemic (2020)The Role of E-Governance in Combating COVID-19 and Promoting Sustainable Development: A Comparative Study of China and Pakistan (2020)Growth in Cities (1992)The Spatial Economy (1999)Future directions in human mobility science (2023)Human mobility networks reveal increased segregation in large cities (2023)Resilience patterns of human mobility in response to extreme urban floods (2023)A review of urban computing for mobile phone traces (2013)Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)The TimeGeo modeling framework for urban mobility without travel surveys (2016)A survey of results on mobile phone datasets analysis (2015)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Human mobility: Models and applications (2018)Does ICT diffusion lead to energy efficiency and environmental sustainability in emerging Asian economies? (2021)RETRACTED ARTICLE: The impact of COVID-19 on small- and medium-sized enterprises (SMEs): empirical evidence for green economic implications (2022)Visualizing the sustainable development goals and natural resource utilization for green economic recovery after COVID-19 pandemic (2022)
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References

  • 1970A Computer Movie Simulating Urban Growth in the Detroit Region9,754 cited
  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2021The universal visitation law of human mobility428 cited
  • 2015Extracting and understanding urban areas of interest using geotagged photos310 cited
  • 2012Spatiotemporal Patterns of Urban Human Mobility282 cited
  • 2021Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges217 cited
  • 2020Public governance mechanism in the prevention and control of the COVID-19: information, decision-making and execution197 cited
  • 2014Quantifying Human Mobility Perturbation and Resilience in Hurricane Sandy162 cited
  • 2020Changing travel patterns in China during the early stages of the COVID-19 pandemic148 cited
  • 2016Urban human mobility data mining: An overview132 cited
  • 2014The impact of social segregation on human mobility in developing and industrialized regions126 cited
  • 2021The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic

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117 cited
  • 2013Breaking the habit: Measuring and predicting departures from routine in individual human mobility73 cited
  • Cited by

    • 2025HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units5 cited
    • 2025Exploring the spatiotemporal dynamics and resilience assessment of urban networks from the perspective of population flow4 cited
    • 2024Analyzing Key Factors Influencing Human Mobility Before and During COVID ‐19 With Explainable Machine Learning4 cited