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Similarity analysis of frequent sequential activity pattern mining
16 references·11 citing·33 second hop
Similarity analysis of frequent sequential activity pattern mining (2018)Similarity analysis of frequent sequentia…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …Inferring patterns in the multi-week activity sequences of public transport users (2016)Inferring patterns in the mul…The path most traveled: Travel demand estimation using big data resources (2015)The path most traveled: Trave…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Discovering urban activity patterns in cell phone data (2015)Discovering urban activity pa…Coupling human mobility and social ties (2015)Coupling human mobility and s…Urban activity pattern classification using topic models from online geo-location data (2014)Urban activity pattern classi…Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…From taxi GPS traces to social and community dynamics (2013)From taxi GPS traces to socia…Approaching the Limit of Predictability in Human Mobility (2013)Approaching the Limit of Pred…A review of urban computing for mobile phone traces (2013)A review of urban computing f…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Friendship and mobility (2011)Friendship and mobilityLimits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Spatio-Temporal Tourist Behavior (STTB) under digital footprints: a systematic literature review (2025)Spatio-Temporal Tourist Behav…Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China (2024)Understanding factors associa…Exploring human mobility: a time-informed approach to pattern mining and sequence similarity (2024)Exploring human mobility: a t…Understanding Residents’ Behavior for Smart City Management by Sequential and Periodic Pattern Mining (2023)Understanding Residents’ Beha…Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities (2022)Day-to-day intrapersonal vari…Identifying Tourists and Locals by K-Means Clustering Method from Mobile Phone Signaling Data (2021)Identifying Tourists and Loca…Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data (2021)Applying frequent-pattern min…Similarity Analysis of Spatial-Temporal Mobility Patterns for Travel Mode Prediction Using Twitter Data (2020)Similarity Analysis of Spatia…Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data (2019)Association Rule Mining Touri…An Association Rule Mining-Based Exploration of Travel Patterns in Wide Tourism Areas using A Wi-Fi Package Sensing Survey (2019)An Association Rule Mining-Ba…A comparison of time-use behavior in metropolitan areas using pattern recognition techniques (2019)A comparison of time-use beha…Reality mining: sensing complex social systems (2005)Returners and explorers dichotomy in human mobility (2015)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)Discovering themes and trends in transportation research using topic modeling (2017)Social-media data for urban sustainability (2018)Applications of artificial intelligence for disaster management (2020)Exploring Millions of Footprints in Location Sharing Services (2021)Predicting Depression via Social Media (2021)Understanding mobility based on GPS data (2008)Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Understanding the tourist mobility using GPS: Where is the next place? (2016)Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh (2016)Modelling the scaling properties of human mobility (2010)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Property, Privacy, and Personal Data (2004)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)The theory of planned behavior (1991)Applying mobile phone data to travel behaviour research: A literature review (2017)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Big data and analytics in hospitality and tourism: a systematic literature review (2021)The TimeGeo modeling framework for urban mobility without travel surveys (2016)Understanding congested travel in urban areas (2016)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2011Friendship and mobility2,912 cited
  • 2011Smart card data use in public transit: A literature review930 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2015The path most traveled: Travel demand estimation using big data resources418 cited
  • 2013Approaching the Limit of Predictability in Human Mobility381 cited
  • 2014Urban activity pattern classification using topic models from online geo-location data289 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2013A review of urban computing for mobile phone traces254 cited
  • 2013From taxi GPS traces to social and community dynamics253 cited
  • 2015Discovering urban activity patterns in cell phone data236 cited
  • 2016Inferring patterns in the multi-week activity sequences of public transport users197 cited

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  • 2015Coupling human mobility and social ties188 cited
  • Cited by

    • 2021Identifying Tourists and Locals by K-Means Clustering Method from Mobile Phone Signaling Data36 cited
    • 2019Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data32 cited
    • 2023Understanding Residents’ Behavior for Smart City Management by Sequential and Periodic Pattern Mining21 cited
    • 2021Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data20 cited
    • 2019A comparison of time-use behavior in metropolitan areas using pattern recognition techniques15 cited
    • 2024Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China14 cited
    • 2024Exploring human mobility: a time-informed approach to pattern mining and sequence similarity12 cited
    • 2022Day-to-day intrapersonal variability in mobility patterns and association with perceived stress: A cross-sectional study using GPS from 122 individuals in three European cities10 cited
    • 2020Similarity Analysis of Spatial-Temporal Mobility Patterns for Travel Mode Prediction Using Twitter Data8 cited
    • 2019An Association Rule Mining-Based Exploration of Travel Patterns in Wide Tourism Areas using A Wi-Fi Package Sensing Survey7 cited
    • 2025Spatio-Temporal Tourist Behavior (STTB) under digital footprints: a systematic literature review6 cited