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Exploring the correlation between spatial heterogeneity of urban tourism and the degree of crowd gathering: Take the main area of Wuhan, China as an example
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Exploring the correlation between spatial heterogeneity of urban tourism and the degree of crowd gathering: Take the main area of Wuhan, China as an example (2025)Exploring the correlation between spatial…The Contribution of Tourism to Sustainable Rural Development in Peripheral Mining Spaces: The Riotinto Mining Basin (Andalusia, Spain) (2024)The Contribution of Tourism t…Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data (2019)Spatial heterogeneity in spat…The path most traveled: Travel demand estimation using big data resources (2015)The path most traveled: Trave…Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS (2009)Exploring the route choice de…Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Geographically Weighted Regre…The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The TimeGeo modeling framework for urban mobility without travel surveys (2016)Understanding congested travel in urban areas (2016)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)What about people in Regional Science? (1970)Spatial Behavior: A Geographic Perspective (1998)A topological route choice model for metro (2011)Latent variables and route choice behavior (2011)Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China (2013)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Space-time dynamics of cab drivers' stay behaviors and their relationships with built environment characteristics (2020)City2vec: Urban knowledge discovery based on population mobile network (2022)The impact of new metro on travel behavior: Panel analysis using mobile phone data (2022)Triangulation in qualitative tourism research (1999)Stakeholder collaboration and heritage management (2005)Heritage Tourism in the 21st Century: Valued Traditions and New Perspectives (2006)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010)An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data (2020)
this work references cited by second hop

References

  • 1996Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity3,562 cited
  • 2015The path most traveled: Travel demand estimation using big data resources418 cited
  • 2009Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS176 cited
  • 2019Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data64 cited
  • 2024The Contribution of Tourism to Sustainable Rural Development in Peripheral Mining Spaces: The Riotinto Mining Basin (Andalusia, Spain)15 cited

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