SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Modelling spatio-temporal movement of tourists using finite Markov chains
2 references·16 citing·47 second hop
Modelling spatio-temporal movement of tourists using finite Markov chains (2008)Modelling spatio-temporal movement of tou…Time Series Analysis: Forecasting and Control. (1978)Time Series Analysis: Forecas…Time Series Analysis Forecasting and Control. (1971)Time Series Analysis Forecast…Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea (2022)Understanding the movement pr…High-frequency forecasting from mobile devices’ bigdata: an application to tourism destinations’ crowdedness (2021)High-frequency forecasting fr…LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists (2020)LSTM-Based Deep Learning Mode…Movement patterns of tourists (2019)Movement patterns of touristsImpact of incentives on tourist activity in space-time (2019)Impact of incentives on touri…Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China (2019)Exploring spatio-temporal cha…Analysing trends in the spatio-temporal behaviour patterns of mainland Chinese tourists and residents in Hong Kong based on Weibo data (2019)Analysing trends in the spati…Spatiotemporal distribution of urban walking tourists by season using GPS-based smartphone application (2018)Spatiotemporal distribution o…Modeling Visit Probabilities within Network‐Time Prisms Using M arkov Techniques (2015)Modeling Visit Probabilities …Time–Space Movement of Festival Visitors in Rural Areas Using a Smart Phone Application (2014)Time–Space Movement of Festiv…The [Limited] Impact of Weather on Tourist Behavior in an Urban Destination (2014)The [Limited] Impact of Weath…Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos (2014)Exploring the travel behavior…Mining Travel Patterns from GPS-Tagged Photos (2011)Mining Travel Patterns from G…Hotel location and tourist activity in cities (2011)Hotel location and tourist ac…A Social Network Analysis of Overseas Tourist Movement Patterns in Beijing: the Impact of the Olympic Games (2011)A Social Network Analysis of …Spatial and temporal modelling of tourist movements using Semi-Markov processes (2010)Spatial and temporal modellin…The framework of tourism (1979)Qualitative Research Methods for the Social Sciences (2000)Qualitative research: Methods in the social sciences (2006)Social network analysis in sport research: an emerging paradigm (2017)Tourists’ digital footprint: The spatial patterns of tourist flows in Qingdao, China (2020)The role of the transport system in destination development (2000)Modeling Tourist Movements (2006)Travel route recommendation using geotags in photo sharing sites (2010)Effects of user-provided photos on hotel review helpfulness: An analytical approach with deep leaning (2017)Discovering the tourists' behaviors and perceptions in a tourism destination by analyzing photos' visual content with a computer deep learning model: The case of Beijing (2019)A machine learning approach to cluster destination image on Instagram (2021)Dissonant Heritage: The Management of the Past as a Resource in Conflict (1995)Dissonant heritage: The management of the past as a resource in conflict (1997)Urban tourism research: Recent progress and current paradoxes (2010)Tourism marketing research: Past, present and future (2014)Understanding Guest Satisfaction with Urban Hotel Location (2017)Photographs in tourism research: Prejudice, power, performance and participant-generated images (2018)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)An analysis of visitor movement patterns using travel networks in a large marine park, north-western Australia (2011)Analysing intra-destination movements and activity participation of tourists through destination card consumption (2014)Introduction to Stochastic Processes (2014)Birnbaum–Saunders spatial modelling and diagnostics applied to agricultural engineering data (2016)Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set (2000)Tourism climatology: evaluating environmental information for decision making and business planning in the recreation and tourism sector (2003)Weather, climate and tourism a geographical perspective (2005)Analyzing factors on tourist movement predictability: a study based on social media data (2023)Chaos, crises and disasters: a strategic approach to crisis management in the tourism industry (2003)Geo-located Twitter as proxy for global mobility patterns (2014)Tourism Flow Between Major Cities During China’s National Day Holiday: A Social Network Analysis Using Weibo Check-in Data (2020)Where day trippers and tourists go: comparing the spatio-temporal distribution of Mainland Chinese visitors in Hong Kong using Weibo data (2020)Understanding the perceived satisfaction and revisiting intentions of lodgers in a restricted service scenario: evidence from the hotel industry in quarantine (2021)Using social media to quantify nature-based tourism and recreation (2013)Big data in tourism research: A literature review (2018)Host facial features and Airbnb listing prices: a spatial hedonic pricing approach (2021)Spatio-Temporal Tourist Behavior (STTB) under digital footprints: a systematic literature review (2025)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding individual human mobility patterns (2008)Trace2trace—A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories (2020)Variational embedding of a hidden Markov model to generate human activity sequences (2021)Enhancing sustainable development through tourism digitalisation: a systematic literature review (2022)Principles of forecasting : a handbook for researchers and practitioners (2001)25 years of time series forecasting (2006)The politics of attention: how government prioritizes problems (2006)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Some recent development in a concept of causality (1988)Unit root tests in panel data: asymptotic and finite-sample properties (2002)
this work references cited by second hop

References

  • 1971Time Series Analysis Forecasting and Control.6,714 cited
  • 1978Time Series Analysis: Forecasting and Control.5,299 cited

Cited by

  • 2014Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos371 cited
  • 2011Hotel location and tourist activity in cities314 cited
  • 2011A Social Network Analysis of Overseas Tourist Movement Patterns in Beijing: the Impact of the Olympic Games161 cited
  • 2019Exploring spatio-temporal changes of city inbound tourism flow: The case of Shanghai, China152 cited
  • 2014The [Limited] Impact of Weather on Tourist Behavior in an Urban Destination127 cited
  • 2010Spatial and temporal modelling of tourist movements using Semi-Markov processes125 cited
  • 2020LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists68 cited
  • 2019Analysing trends in the spatio-temporal behaviour patterns of mainland Chinese tourists and residents in Hong Kong based on Weibo data62 cited
  • 2021High-frequency forecasting from mobile devices’ bigdata: an application to tourism destinations’ crowdedness54 cited
  • 2019Impact of incentives on tourist activity in space-time53 cited
  • 2014Time–Space Movement of Festival Visitors in Rural Areas Using a Smart Phone Application53 cited
  • 2018

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Spatiotemporal distribution of urban walking tourists by season using GPS-based smartphone application
39 cited
  • 2019Movement patterns of tourists39 cited
  • 2022Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea34 cited
  • 2015Modeling Visit Probabilities within Network‐Time Prisms Using M arkov Techniques31 cited
  • 2011Mining Travel Patterns from GPS-Tagged Photos28 cited