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Extraction and analysis of city's tourism districts based on social media data · Study

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ArticleExtraction and analysis of city's tourism districts based on social media data

Hu Shao2017

OA

Articlebronze2017

Extraction and analysis of city's tourism districts based on social media data

Hu Shao · Yi Zhang · Wenwen Li

72 citations·0/0 files stored·Computers Environment and Urban Systems

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Human Mobility and Location-Based Analysis Diverse Aspects of Tourism Research Urban Design and Spatial Analysis

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References

2007Citizens as sensors: the world of volunteered geography 2012Discovering regions of different functions in a city using human mobility and POIs 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments 2013Using social media to quantify nature-based tourism and recreation 2021Exploring Millions of Footprints in Location Sharing Services 2014Geo-located Twitter as proxy for global mobility patterns 2006Modeling Tourist Movements 2021The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City

Cited by

2017Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr 2022Quantitative Evaluation of TOD Performance Based on Multi-Source Data: A Case Study of Shanghai 2021Leveraging tourist trajectory data for effective destination planning and management: A new heuristic approach 2020Perceiving Beijing’s “City Image” Across Different Groups Based on Geotagged Social Media Data 2020Tourism Flow Between Major Cities During China’s National Day Holiday: A Social Network Analysis Using Weibo Check-in Data

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Details

Year2017

Typearticle

Published2017-05-25

VenueComputers Environment and Urban Systems

ISSN-L0198-9715

Languageen

Citations72

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1016/j.compenvurbsys.2017.04.010

openalex_workW2620052956

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2022Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea

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