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Understanding Travel Patterns of Tourists from Mobile Phone Data: A Case Study in Hainan
10 references·1 citing·51 second hopsampled
Understanding Travel Patterns of Tourists from Mobile Phone Data: A Case Study in Hainan (2018)Understanding Travel Patterns of Tourists…Understanding the tourist mobility using GPS: Where is the next place? (2016)Understanding the tourist mob…Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data (2016)Understanding Spatiotemporal …Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata (2016)Analysis of Tourism Dynamics …Analysis of Attraction Features of Tourism Destinations in a Mega-City Based on Check-in Data Mining—A Case Study of Shenzhen, China (2016)Analysis of Attraction Featur…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Discovering urban activity patterns in cell phone data (2015)Discovering urban activity pa…coMobile (2015)coMobileA hierarchical approach for identifying user activity patterns from mobile phone call detail records (2015)A hierarchical approach for i…The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics (2014)The City Browser: Utilizing M…Semantic enrichment of mobile phone data records (2013)Semantic enrichment of mobile…Identifying tourist experiences in Maui, Hawaii using mobile location data (2020)Identifying tourist experienc…Deriving origin–destination data from a mobile phone network (2007)Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data (2010)Development of origin–destination matrices using mobile phone call data (2014)Mining travel behaviors of tourists with mobile phone data: A case study in Hainan (2016)Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks (2019)Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic (2023)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)Algorithmic Geographies: Big Data, Algorithmic Uncertainty, and the Production of Geographic Knowledge (2016)A Generative Model of Urban Activities from Cellular Data (2017)Transport mode detection based on mobile phone network data: A systematic review (2019)Uncovering individual and collective human dynamics from mobile phone records (2008)Redrawing the Map of Great Britain from a Network of Human Interactions (2010)Collective Response of Human Populations to Large-Scale Emergencies (2011)Deriving human activity from geo-located data by ontological and statistical reasoning (2017)Cities as Spatial and Social Networks: Towards a Spatio-Socio-Semantic Analysis Framework (2018)A hybrid of neuro-fuzzy inference system and hidden Markov Model for activity-based mobility modeling of cellphone users (2021)Reality mining: sensing complex social systems (2005)The scaling laws of human travel (2006)A Comparative Study of Urban Mobility Patterns Using Large-Scale Spatio-Temporal Data (2018)Discovering Individual Life Style From Anonymized WiFi Scan Lists on Smartphones (2019)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Real-Time Human Mobility Modeling with Multi-View Learning (2017)Deep multi-task learning for individuals origin–destination matrices estimation from census data (2019)On the accuracy and potential of Google Maps location history data to characterize individual mobility for air pollution health studies (2019)On the Move: Mobility in the Modern Western World (2006)Limits of Predictability in Human Mobility (2010)Modeling intra-destination travel behavior of tourists through spatio-temporal analysis (2018)Big data or small data? A methodological review of sustainable tourism (2019)Progress on technology use in tourism (2019)Discrete Choice Methods and their Applications to Short Term Travel Decisions (1999)Tourism as a long-run economic growth factor: the Spanish case (2002)Progress and prospects for event tourism research (2015)High-Performance Modelling and Simulation for Big Data Applications (2019)RevUrb: Understanding Urban Activity and Human Dynamics through Point Process Modelling of Telecoms Data (2019)Mining mobile application usage data to understand travel planning for attending a large event (2021)Travel Blogs and the Implications for Destination Marketing (2007)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Smart tourism: foundations and developments (2015)Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China (2019)Perceiving Beijing’s “City Image” Across Different Groups Based on Geotagged Social Media Data (2020)Where day trippers and tourists go: comparing the spatio-temporal distribution of Mainland Chinese visitors in Hong Kong using Weibo data (2020)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators (2017)Sensing multiple semantics of urban space from crowdsourcing positioning data (2019)Calibrating the dynamic Huff model for business analysis using location big data (2020)
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References

  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2015Discovering urban activity patterns in cell phone data236 cited
  • 2016Understanding the tourist mobility using GPS: Where is the next place?185 cited
  • 2016Understanding Spatiotemporal Patterns of Human Convergence and Divergence Using Mobile Phone Location Data56 cited
  • 2016Analysis of Attraction Features of Tourism Destinations in a Mega-City Based on Check-in Data Mining—A Case Study of Shenzhen, China53 cited
  • 2015coMobile36 cited
  • 2014The City Browser: Utilizing Massive Call Data to Infer City Mobility Dynamics17 cited
  • 2013Semantic enrichment of mobile phone data records17 cited
  • 2015A hierarchical approach for identifying user activity patterns from mobile phone call detail records14 cited
  • 2016Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata13 cited

Cited by

  • 2020Identifying tourist experiences in Maui, Hawaii using mobile location data7 cited

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