住宅ポテンシャル共通データモデルと都市デジタルツイン
原題: Housing Potential Common Data Model and City Digital Twin
分析結果
- カテゴリ
- 不動産
- 重要度
- 59
- トレンドスコア
- 18
- 要約
- 住宅ポテンシャルの評価には、ゾーニングや土地利用、人口特性、アクセスなど、複数の視点からの考慮が必要です。本研究では、これらの要素を統合するための共通データモデルを提案し、都市のデジタルツインを活用して、より効果的な住宅政策の策定を目指します。
- キーワード
arXiv:2605.05535v1 Announce Type: new Abstract: The evaluation of housing potential requires consideration of a location from multiple perspectives, ranging from zoning and land use to population characteristics and access to services. This research introduces the Housing Potential Common Data Model (HPCDM) to overcome existing data silos, serving as a standard to support integration and interoperability across the diverse range of datasets that are required for housing potential analysis. This report details the evaluation of the model along with the creation of a City Digital Twin for housing and a pilot dashboard application to demonstrate a practical implementation. Beyond the technical framework, this work identifies critical barriers to adoption and provides actionable mitigation strategies for urban planners and stakeholders. arXiv:2605.05535v1 Announce Type: new Abstract: The evaluation of housing potential requires consideration of a location from multiple perspectives, ranging from zoning and land use to population characteristics and access to services. This research introduces the Housing Potential Common Data Model (HPCDM) to overcome existing data silos, serving as a standard to support integration and interoperability across the diverse range of datasets that are required for housing potential analysis. This report details the evaluation of the model along with the creation of a City Digital Twin for housing and a pilot dashboard application to demonstrate a practical implementation. Beyond the technical framework, this work identifies critical barriers to adoption and provides actionable mitigation strategies for urban planners and stakeholders.