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Assessing the dynamic vitality of public spaces in tourism-oriented traditional villages: a collaborative active perception method
14 references·2 citing·55 second hopsampled
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References

  • 2015Effective use of Spearman's and Kendall's correlation coefficients for association between two measured traits437 cited
  • 2014From traces to trajectories: How well can we guess activity locations from mobile phone traces?164 cited
  • 2018Mapping historic urban landscape values through social media144 cited
  • 2018Digital footprints: Using WiFi probe and locational data to analyze human mobility trajectories in cities108 cited
  • 2020Urban sensing based on mobile phone data: approaches, applications, and challenges106 cited
  • 2022Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkability99 cited
  • 2020Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining77 cited
  • 2013Moving and Calling: Mobile Phone Data Quality Measurements and Spatiotemporal Uncertainty in Human Mobility Studies74 cited
  • 2022Vitality evaluation of historical and cultural districts based on the values dimension: districts in Beijing City, China66 cited
  • 2020Effects of the Human and Built Environment on Neighborhood Vitality: Evidence from Seoul, Korea, Using Mobile Phone Data55 cited
  • 2021Vitality evaluation of the waterfront space in the ancient city of Suzhou50 cited
  • 2022Vitality Evaluation of Public Spaces in Historical and Cultural Blocks Based on Multi-Source Data, a Case Study of Suzhou Changmen47 cited
  • 2015Place Meaning of the Historic Square as Tourism Attraction and Community Leisure Space

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33 cited
  • 2023Evaluation of Public Space in Traditional Villages Based on Eye Tracking Technology31 cited
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    • 2025Exploring Factors Behind Weekday and Weekend Variations in Public Space Vitality in Traditional Villages, Using Wi-Fi Sensing Method7 cited
    • 2024Developing a Method to Evaluate Public Space Perception in River Valley Plain Villages of the Loess Gully Area Based on Villagers’ Perspectives3 cited