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Clustering Activity–Travel Behavior Time Series using Topological Data Analysis
13 references·3 citing·51 second hop
Clustering Activity–Travel Behavior Time Series using Topological Data Analysis (2019)Clustering Activity–Travel Behavior Time …Tracking job and housing dynamics with smartcard data (2018)Tracking job and housing dyna…Multi-day activity-travel pattern sampling based on single-day data (2018)Multi-day activity-travel pat…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…Sequence Alignment as a Method for Human Activity Analysis in Space and Time (2007)Sequence Alignment as a Metho…Pattern Recognition in Complex Activity Travel Patterns: Comparison of Euclidean Distance, Signal-Processing Theoretical, and Multidimensional Sequence Alignment Methods (2001)Pattern Recognition in Comple…Activity Patterns of Canadian Women: Application of ClustalG Sequence Alignment Software (2001)Activity Patterns of Canadian…Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set (2000)Interactive geovisualization …Longitudinal analysis of activity and travel pattern dynamics using generalized mixed Markov latent class models (1999)Longitudinal analysis of acti…THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE (1996)THE APPLICATION OF CLUSTER AN…Weekly travel-activity behavior (1988)Weekly travel-activity behavi…Travel/activity analysis: Pattern recognition, classification and interpretation (1985)Travel/activity analysis: Pat…Who Belongs in the Family? (1953)Who Belongs in the Family?Urban Commuting Preferences in Italy: Employees’ Perceptions of Public Transport and Willingness to Adopt Active Transport Based on K-Modes Cluster Analysis (2025)Urban Commuting Preferences i…Extracting Spatiotemporal Bus Passenger Trip Typologies from Noisy Mobile Ticketing Boarding Data (2023)Extracting Spatiotemporal Bus…Deconstruction of Commuters’ Activity Space and Social Exclusion under Anchor Point Theory: A Case Study of Kunming, China (2022)Deconstruction of Commuters’ …Organizational Strategy, Structure, and Process (1978)Mixing Qualitative and Quantitative Methods: Triangulation in Action (1979)The Concept of Corporate Strategy (1987)Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research (2011)An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017)Studying configurations with qualitative comparative analysis: Best practices in strategy and organization research (2018)The Use of the Life-Style Concept in Travel Demand Models (1983)The Effect of Selected Sociodemographic Characteristics on Daily Travel-Activity Behavior (1984)Repetition and Variability in Urban Travel (1986)The sequenced activity mobility simulator (SAMS): an integrated approach to modeling transportation, land use and air quality (1996)Exploring day-to-day variability in time use for household members (2010)Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China (2013)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? 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(1991)Multilevel analysis of daily time use and time allocation to activity types accounting for complex covariance structures using correlated random effects (2002)A latent class accelerated hazard model of activity episode durations (2006)Choice modelling in the age of machine learning - Discussion paper (2021)The origin of bursts and heavy tails in human dynamics (2005)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Unravelling daily human mobility motifs (2013)Development of origin–destination matrices using mobile phone call data (2014)A survey of results on mobile phone datasets analysis (2015)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Understanding individual human mobility patterns (2008)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The universal visitation law of human mobility (2021)STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data (1993)Statistics for Spatial Data. 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(1988)A Review of Data-Driven Market Segmentation in Tourism (2002)A Position-Sensitive Sequence-Alignment Method Illustrated for Space–Time Activity-Diary Data (2001)Multidimensional Sequence Alignment Methods for Activity‐Travel Pattern Analysis: A Comparison of Dynamic Programming and Genetic Algorithms (2001)Inferring temporal motifs for travel pattern analysis using large scale smart card data (2020)
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References

  • 1996THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE2,383 cited
  • 1953Who Belongs in the Family?2,110 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records606 cited
  • 2000Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set460 cited
  • 2007Sequence Alignment as a Method for Human Activity Analysis in Space and Time231 cited
  • 2018Tracking job and housing dynamics with smartcard data193 cited
  • 1988Weekly travel-activity behavior134 cited
  • 1999Longitudinal analysis of activity and travel pattern dynamics using generalized mixed Markov latent class models80 cited
  • 1985Travel/activity analysis: Pattern recognition, classification and interpretation78 cited
  • 2001Pattern Recognition in Complex Activity Travel Patterns: Comparison of Euclidean Distance, Signal-Processing Theoretical, and Multidimensional Sequence Alignment Methods69 cited
  • 2001Activity Patterns of Canadian Women: Application of ClustalG Sequence Alignment Software36 cited
  • 2018Multi-day activity-travel pattern sampling based on single-day data33 cited

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  • 2023Extracting Spatiotemporal Bus Passenger Trip Typologies from Noisy Mobile Ticketing Boarding Data5 cited
  • 2022Deconstruction of Commuters’ Activity Space and Social Exclusion under Anchor Point Theory: A Case Study of Kunming, China4 cited
  • 2025Urban Commuting Preferences in Italy: Employees’ Perceptions of Public Transport and Willingness to Adopt Active Transport Based on K-Modes Cluster Analysis4 cited