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Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model
9 references·16 citing·40 second hop
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(1978)Understanding individual human mobility patterns (2008)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Measuring human perceptions of a large-scale urban region using machine learning (2018)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)Driving with knowledge from the physical world (2011)Measuring social functions of city regions from large-scale taxi behaviors (2011)Urban computing with taxicabs (2011)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Urban Computing (2014)UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning (2002)A comparison of string distance metrics for name-matching tasks (2003)TheHukouSystem and Rural-Urban Migration in China: Processes and Changes (1999)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Dynamic population mapping using mobile phone data (2014)Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China (2020)Environment and Planning b: Planning and Design (1998)Passive crowdsourcing of social media in environmental research: A systematic map (2019)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Natural Scales in Geographical Patterns (2017)Natural Scales in Geographical Patterns (2017)Unsupervised machine learning in urban studies: A systematic review of applications (2022)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future (2022)Visual landscapes and psychological well‐being (1979)Human–environment interactions in urban green spaces — A systematic review of contemporary issues and prospects for future research (2014)Urban green space, public health, and environmental justice: The challenge of making cities ‘just green enough’ (2014)Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique (2019)A review of urban physical environment sensing using street view imagery in public health studies (2020)Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax (2022)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Guidance for conducting systematic scoping reviews (2015)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)
this work references cited by second hop

References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,151 cited
  • 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments807 cited
  • 2015Mining point-of-interest data from social networks for urban land use classification and disaggregation337 cited
  • 2015Automated identification and characterization of parcels with OpenStreetMap and points of interest326 cited
  • 2013Toward mapping land-use patterns from volunteered geographic information148 cited
  • 2010Evaluation of plan implementation in the transitional China: A case of Guangzhou city master plan138 cited
  • 2012Spatiotemporal heterogeneity of urban planning implementation effectiveness: Evidence from five urban master plans of Beijing126 cited
  • 2015Real options analysis for land use management: Methods, application, and implications for policy87 cited
  • 1996Transport, Land-Use and the Environment69 cited

Cited by

  • 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks482 cited
  • 2019A human-machine adversarial scoring framework for urban perception assessment using street-view images441 cited
  • 2017Classifying urban land use by integrating remote sensing and social media data368 cited
  • 2018Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs

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261 cited
  • 2022Machine learning for spatial analyses in urban areas: a scoping review240 cited
  • 2017Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data227 cited
  • 2019Understanding the impact of built environment on metro ridership using open source in Shanghai222 cited
  • 2020Deep learning-based remote and social sensing data fusion for urban region function recognition209 cited
  • 2019Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns194 cited
  • 2023Extracting human perceptions from street view images for better assessing urban renewal potential129 cited
  • 2019Functional urban land use recognition integrating multi-source geospatial data and cross-correlations119 cited
  • 2018Mapping Urban Functional Zones by Integrating Very High Spatial Resolution Remote Sensing Imagery and Points of Interest: A Case Study of Xiamen, China118 cited
  • 2021Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America110 cited
  • 2021Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities105 cited
  • 2022A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method104 cited
  • 2020POI Mining for Land Use Classification: A Case Study97 cited