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Proposal for Reducing the Burden of Field Surveys of Vacant Houses Using Municipal Owned Data and Machine Learning to Identify Spatial Distribution of Non-Vacant Houses
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Proposal for Reducing the Burden of Field Surveys of Vacant Houses Using Municipal Owned Data and Machine Learning to Identify Spatial Distribution of Non-Vacant Houses (2024)Proposal for Reducing the Burden of Field…Accuracy of vacant housing detection models: An empirical evaluation using municipal and national census datasets (2022)Accuracy of vacant housing de…STUDY ON CAUSES OF VACANT HOUSE AND LOT IN SLOPED URBAN DISTRICT FROM THE VIEWPOINT OF WALKING ENERGY EXPENDITURE (2016)STUDY ON CAUSES OF VACANT HOU…Greening the Rust Belt: A Green Infrastructure Model for Right Sizing America's Shrinking Cities (2008)Policy analytical capacity and evidence‐based policy‐making: Lessons from Canada (2009)Beyond prediction: Using big data for policy problems (2017)Estimation of Future Vacancy Rates Throughout Japan Using Government Statistics (2025)Estimation of Residential Vacancy Rate in Underdeveloped Areas of China Based on Baidu Street View Residential Exterior Images: A Case Study of Nanning, Guangxi (2025)Study on Occurrence of the Vacant Houses Focusing on Regional Characteristics and Attributes of Property (2018)Factors Influencing the Occurrence of Vacant Houses in a Small Provincial Town in Japan (2023)Effects of neighbourhood characteristics on the distribution of vacant houses in Toda city, a satellite city of Tokyo metropolis of japan (2024)
this work references cited by second hop

References

  • 2022Accuracy of vacant housing detection models: An empirical evaluation using municipal and national census datasets13 cited
  • 2016STUDY ON CAUSES OF VACANT HOUSE AND LOT IN SLOPED URBAN DISTRICT FROM THE VIEWPOINT OF WALKING ENERGY EXPENDITURE13 cited

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