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Geographically Explicit Network Analysis of Urban Living and Working Interaction Pattern in Shenzhen City, South China
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Geographically Explicit Network Analysis of Urban Living and Working Interaction Pattern in Shenzhen City, South China (2021)Geographically Explicit Network Analysis …Assessing temporal–spatial characteristics of urban travel behaviors from multiday smart-card data (2021)Assessing temporal–spatial ch…Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China (2019)Inter-urban mobility via cell…Urban-Scale Human Mobility Modeling With Multi-Source Urban Network Data (2018)Urban-Scale Human Mobility Mo…The temporal network of mobile phone users in Changchun Municipality, Northeast China (2018)The temporal network of mobil…Human mobility: Models and applications (2018)Human mobility: Models and ap…Universal model of individual and population mobility on diverse spatial scales (2017)Universal model of individual…Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows (2017)Understanding the Spatial and…Living to Work and Working to Live: Income as a Driver of Organizational Behavior (2015)Living to Work and Working to…Evaluating the effectiveness of urban growth boundaries using human mobility and activity records (2015)Evaluating the effectiveness …Universal predictability of mobility patterns in cities (2014)Universal predictability of m…Mesoscopic Structure and Social Aspects of Human Mobility (2012)Mesoscopic Structure and Soci…Transit Travel Community Detection and Evolutionary Analysis: A Case Study of Shenzhen (2023)Transit Travel Community Dete…Growth, innovation, scaling, and the pace of life in cities (2007)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Explaining the power-law distribution of human mobility through transportationmodality decomposition (2015)Patterns and Limitations of Urban Human Mobility Resilience under the Influence of Multiple Types of Natural Disaster (2016)Quantifying patterns of research-interest evolution (2017)Rank Correlation Methods. (1957)The predictability of consumer visitation patterns (2013)Determining Typical Smartphone Usage: What Data Do We Need? (2018)scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)Causes of Sprawl: A Portrait from Space (2006)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Automated identification and characterization of parcels with OpenStreetMap and points of interest (2015)Mapping spatio-temporal patterns and detecting the factors of traffic congestion with multi-source data fusion and mining techniques (2019)Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods (2020)Resilience patterns of human mobility in response to extreme urban floods (2023)A Theory of City Size (2013)Supplementary Information for “Quantifying long-term evolution of intra-urban spatial interactions” (2015)The temporal geographically-explicit network of public transport in Changchun City, Northeast China (2019)A Balanced Strategy for the FFBS Operator Integrating Dispatch Area, Route, and Depot Based on Multimodel Technologies (2021)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)The scales of human mobility (2020)The universal visitation law of human mobility (2021)A survey on deep learning for human mobility (2023)Friendship and mobility (2011)A universal distribution law of network detour ratios (2018)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Urban Human Mobility (2019)Modelling the scaling properties of human mobility (2010)A universal model for mobility and migration patterns (2012)Data-driven behavioral analysis and applications: A case study in Changchun, China (2022)Sensing the "Health State" of a Community (2011)Prospect Theory: An Analysis of Decision under Risk (1979)Bowling alone (2000)Capital in the Twenty-First Century (2014)Echoes of Our Upbringing: How Growing Up Wealthy or Poor Relates to Narcissism, Leader Behavior, and Leader Effectiveness (2016)When Job Performance Is All Relative: How Family Motivation Energizes Effort and Compensates for Intrinsic Motivation (2016)Playing It Safe for My Family: Exploring the Dual Effects of Family Motivation on Employee Productivity and Creativity (2019)Uncovering urban human mobility from large scale taxi GPS data (2015)Clustering Smart Card Data for Urban Mobility Analysis (2016)Understanding commuting patterns using transit smart card data (2016)Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data (2021)Exploring the Nonlinear Effects of Built Environment on Bus-Transfer Ridership: Take Shanghai as an Example (2022)Exploring the association between multi-mode transport and the built environment: A comparative study of metro, bus, taxi, and shared bike use (2024)
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References

  • 2018Human mobility: Models and applications1,032 cited
  • 2017Universal model of individual and population mobility on diverse spatial scales250 cited
  • 2014Universal predictability of mobility patterns in cities198 cited
  • 2015Living to Work and Working to Live: Income as a Driver of Organizational Behavior118 cited
  • 2012Mesoscopic Structure and Social Aspects of Human Mobility114 cited
  • 2015Evaluating the effectiveness of urban growth boundaries using human mobility and activity records107 cited
  • 2021Assessing temporal–spatial characteristics of urban travel behaviors from multiday smart-card data41 cited
  • 2017Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows13 cited
  • 2018The temporal network of mobile phone users in Changchun Municipality, Northeast China12 cited
  • 2019Inter-urban mobility via cellular position tracking in the southeast Songliao Basin, Northeast China12 cited
  • 2018Urban-Scale Human Mobility Modeling With Multi-Source Urban Network Data11 cited

Cited by

  • 2023Transit Travel Community Detection and Evolutionary Analysis: A Case Study of Shenzhen4 cited

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