SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Identifying the use of a park based on clusters of visitors' movements from mobile phone data
16 references·0 citing·49 second hop
Identifying the use of a park based on clusters of visitors' movements from mobile phone data (2019)Identifying the use of a park based on cl…Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit (2018)Utilizing mobile phone-based …Social Media data: Challenges, opportunities and limitations in urban studies (2018)Social Media data: Challenges…A Smartphone-Based System for Outdoor Data Gathering Using a Wireless Beacon Network and GPS Data: From Cyber Spaces to Senseable Spaces (2018)A Smartphone-Based System for…User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey (2017)User-Generated Geographic Inf…Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring (2017)Analysis of pedestrian behavi…Exploring the Potential of Combining Taxi GPS and Flickr Data for Discovering Functional Regions (2015)Exploring the Potential of Co…Choosing the Right Home Location Definition Method for the Given Dataset (2015)Choosing the Right Home Locat…Tracking spatio-temporal movement of human in terms of space utilization using Media-Access-Control address data (2014)Tracking spatio-temporal move…Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong (2014)Towards a Comparative Science…Digital Footprints: Opportunities and Challenges for Online Social Research (2014)Digital Footprints: Opportuni…We know how you live (2013)We know how you liveIncorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement (2013)Incorporating Mobility Patter…Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai (2012)Urban land uses and traffic ‘…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…Digital Footprinting: Uncovering Tourists with User-Generated Content (2008)Digital Footprinting: Uncover…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mobile Landscapes: Using Loca…Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software (2014)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Limits of Predictability in Human Mobility (2010)Comparing and modelling land use organization in cities (2015)A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas (2016)The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective (2016)The scaling laws of human travel (2006)Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium (2014)Big data in tourism research: A literature review (2018)The potential impacts of digital technologies on co-production and co-creation (2019)Cities and Housing. (1970)A new insight into land use classification based on aggregated mobile phone data (2014)Revealing travel patterns and city structure with taxi trip data (2015)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Experimenter Effects in Behavioral Research (1968)Private traits and attributes are predictable from digital records of human behavior (2013)City-Scale Social Event Detection and Evaluation with Taxi Traces (2015)A General Multi-Context Embedding Model for Mining Human Trajectory Data (2016)Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing (2019)Me++ (2003)Me++: The Cyborg Self and the Networked City (2003)Dynamic population mapping using mobile phone data (2014)A survey of results on mobile phone datasets analysis (2015)Human mobility: Models and applications (2018)The Presentation of Self in Everyday Life. (1956)The Structure of Scientific Revolutions (1963)The Strength of Weak Ties (1973)Contested Boundaries: Explaining Where Ethnoracial Diversity Provokes Neighborhood Conflict (2016)Sources of Segregation in Social Networks: A Novel Approach Using Facebook (2017)"Humanized Robots": A Proposition of Categories to Understand Virtual Influencers (2021)You are where you tweet (2010)Friendship and mobility (2011)Characterizing International Travel Behavior from Geotagged Photos: A Case Study of Flickr (2016)Integrating social media analysis and revealed preference methods to value the recreation services of ecologically engineered wetlands (2017)A crowdsourced valuation of recreational ecosystem services using social media data: An application to a tropical wetland in India (2018)Citizens as sensors: the world of volunteered geography (2007)CRITICAL QUESTIONS FOR BIG DATA (2012)Key issues and research priorities for public participation GIS (PPGIS): A synthesis based on empirical research (2013)Quantifying nature-based tourism in protected areas in developing countries by using social big data (2018)Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review (2020)Using social media to assess nature-based tourism: Current research and future trends (2020)Postmodern geographies: the reassertion of space in critical social theory (1989)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns (2019)Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China (2020)Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)
this work references cited by second hop

References

  • 2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
  • 2008Digital Footprinting: Uncovering Tourists with User-Generated Content470 cited
  • 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai423 cited
  • 2014Digital Footprints: Opportunities and Challenges for Online Social Research381 cited
  • 2018Social Media data: Challenges, opportunities and limitations in urban studies327 cited
  • 2017User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey276 cited
  • 2011The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities221 cited
  • 2014Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong100 cited
  • 2013We know how you live85 cited
  • 2015Choosing the Right Home Location Definition Method for the Given Dataset70 cited
  • 2018Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit68 cited
  • 2014Tracking spatio-temporal movement of human in terms of space utilization using Media-Access-Control address data50 cited
  • 2017Analysis of pedestrian behaviors through non-invasive Bluetooth monitoring38 cited
  • 2015

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

Exploring the Potential of Combining Taxi GPS and Flickr Data for Discovering Functional Regions
19 cited
  • 2013Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement17 cited
  • 2018A Smartphone-Based System for Outdoor Data Gathering Using a Wireless Beacon Network and GPS Data: From Cyber Spaces to Senseable Spaces16 cited
  • Cited by

    No citing works inside the corpus for this window.