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Tracking spatio-temporal movement of human in terms of space utilization using Media-Access-Control address data
11 references·13 citing·44 second hop
Tracking spatio-temporal movement of human in terms of space utilization using Media-Access-Control address data (2014)Tracking spatio-temporal movement of huma…Analysing spatiotemporal sequences in Bluetooth tracking data (2012)Analysing spatiotemporal sequ…The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities (2011)The use of Bluetooth for anal…Analytical workflow of monitoring human mobility in big event settings using Bluetooth (2011)Analytical workflow of monito…Discovering Landmark Preferences and Movement Patterns from Photo Postings (2010)Discovering Landmark Preferen…Urbanism on Track: Application of tracking technologies in urbanism (2008)Urbanism on Track: Applicatio…Research Note—The Traveling Salesman Goes Shopping: The Systematic Deviations of Grocery Paths from TSP Optimality (2008)Research Note—The Traveling S…A Space‐Time GIS Approach to Exploring Large Individual‐based Spatiotemporal Datasets (2008)A Space‐Time GIS Approach to …Tracking tourists in the digital age (2007)Tracking tourists in the digi…Evaluating passive mobile positioning data for tourism surveys: An Estonian case study (2007)Evaluating passive mobile pos…The scaling laws of human travel (2006)The scaling laws of human tra…Observing the rhythms of daily life: A six-week travel diary (2002)Observing the rhythms of dail…Exploring Factors Behind Weekday and Weekend Variations in Public Space Vitality in Traditional Villages, Using Wi-Fi Sensing Method (2025)Exploring Factors Behind Week…Identifying golden routes in tourist areas based on AMP collectors (2022)Identifying golden routes in …Bi-level clustering of vehicle trajectories for path choice set and its nested structure identification (2022)Bi-level clustering of vehicl…A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus (2022)A Low Cost IoT Cyber-Physical…Contextualizing human dynamics: Understanding the semantics of movement trajectories with Wi-Fi data (2021)Contextualizing human dynamic…Towards a smart campus: supporting campus decisions with Internet of Things applications (2020)Towards a smart campus: suppo…Temporal Signatures of Passive Wi-Fi Data for Estimating Bus Passenger Waiting Time at a Single Bus Stop (2019)Temporal Signatures of Passiv…Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective (2019)Origin-Destination Matrix Est…Identifying the use of a park based on clusters of visitors' movements from mobile phone data (2019)Identifying the use of a park…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 Modified Inverse Distance Weighting Method for Interpolation in Open Public Places Based on Wi-Fi Probe Data (2019)A Modified Inverse Distance W…Identifying Movements in Noisy Crowd Analytics Data (2018)Identifying Movements in Nois…It's About Time: A Conceptual Framework for the Representation of Temporal Dynamics in Geographic Information Systems (1994)Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 (2007)Mapping the world's photos (2009)Assessment of antenna characteristic effects on pedestrian and cyclists travel-time estimation based on Bluetooth and WiFi MAC addresses (2015)Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China (2019)Machine learning and points of interest: typical tourist Italian cities (2019)Sequence Analysis: New Methods for Old Ideas (1995)Uncovering individual and collective human dynamics from mobile phone records (2008)Understanding individual human mobility patterns (2008)Bluetooth tracking of humans in an indoor environment: An application to shopping mall visits (2016)Big data or small data? 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(1970)What about people in Regional Science? (1970)Modelling accessibility using space-time prism concepts within geographical information systems (1991)Exploratory data analysis of activity diary data: a space–time GIS approach (2011)Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us? (2016)Building a New Heritage: Tourism, Culture, and Identity in the New Europe (1994)Building a new heritage - tourism, culture and identity in the New Europe (1995)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Urban tourism research: Recent progress and current paradoxes (2010)Consumer behaviour in tourism: Concepts, influences and opportunities (2013)Improving service quality through customer journey analysis (2016)Education at a Glance 2019 (2019)Towards Smart Campus Management: Defining Information Requirements for Decision Making through Dashboard Design (2021)Activity spaces: measures of social exclusion? (2003)Unravelling daily human mobility motifs (2013)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium (2014)The potential impacts of digital technologies on co-production and co-creation (2019)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)
this work references cited by second hop

References

  • 2006The scaling laws of human travel2,207 cited
  • 2002Observing the rhythms of daily life: A six-week travel diary503 cited
  • 2007Tracking tourists in the digital age357 cited
  • 2007Evaluating passive mobile positioning data for tourism surveys: An Estonian case study320 cited
  • 2011The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities221 cited
  • 2008A Space‐Time GIS Approach to Exploring Large Individual‐based Spatiotemporal Datasets133 cited
  • 2008Research Note—The Traveling Salesman Goes Shopping: The Systematic Deviations of Grocery Paths from TSP Optimality113 cited
  • 2012Analysing spatiotemporal sequences in Bluetooth tracking data91 cited
  • 2010Discovering Landmark Preferences and Movement Patterns from Photo Postings85 cited
  • 2008Urbanism on Track: Application of tracking technologies in urbanism63 cited
  • 2011Analytical workflow of monitoring human mobility in big event settings using Bluetooth55 cited

Cited by

  • 2020Towards a smart campus: supporting campus decisions with Internet of Things applications86 cited
  • 2019Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data32 cited
  • 2019

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A Modified Inverse Distance Weighting Method for Interpolation in Open Public Places Based on Wi-Fi Probe Data
24 cited
  • 2018Identifying Movements in Noisy Crowd Analytics Data22 cited
  • 2019Temporal Signatures of Passive Wi-Fi Data for Estimating Bus Passenger Waiting Time at a Single Bus Stop13 cited
  • 2021Contextualizing human dynamics: Understanding the semantics of movement trajectories with Wi-Fi data13 cited
  • 2022A Low Cost IoT Cyber-Physical System for Vehicle and Pedestrian Tracking in a Smart Campus11 cited
  • 2022Bi-level clustering of vehicle trajectories for path choice set and its nested structure identification10 cited
  • 2019Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective9 cited
  • 2022Identifying golden routes in tourist areas based on AMP collectors8 cited
  • 2025Exploring Factors Behind Weekday and Weekend Variations in Public Space Vitality in Traditional Villages, Using Wi-Fi Sensing Method7 cited
  • 2019An Association Rule Mining-Based Exploration of Travel Patterns in Wide Tourism Areas using A Wi-Fi Package Sensing Survey7 cited
  • 2019Identifying the use of a park based on clusters of visitors' movements from mobile phone data5 cited