目前之三維建物資料多由建置單位依軟體之規格而建置，以視覺展示為主，常因此導致不同來源之異質性三維建物資料不易整合管理及流通共享。僅著重視覺展示的結果也造成建物相關屬性資料及品質資訊無法順利建立關連。針對上述問題，本研究由物件之觀點分析三維建物圖徵之模擬、流通及應用策略，進而提出一個異質三維建物資料之流通與應用環境，目標在於使所有三維建物資料皆能依其特性而記錄基本資訊，並可於應用端由單一物件之觀點具體掌握各建物之差異。
　　本文首先分析三維建物圖徵之基本特性，並依其基本組成而拆解為不同層級之元件，再進一步由物件觀點探討不同層級元件應具有之基礎屬性。為促進三維建物圖徵之流通與互操作性，設計架構以擴充自CityGML（城市地理標記語言）之應用綱要建立，此標準化架構使應用軟體可以固定方式完整解析流通之資料，並依取得之基礎資訊而提升應用決策之品質。在未來之應用環境中，使用者勢必無法避免使用其他單位所生產之三維建物資料，本文之架構可同時改善異質資料在內容設計、開放流通模式及提升應用品質等三個議題上所面臨之問題，對於未來之流通環境可提供正面的效益，也使建置單位之供應內容有共同規則可循，提升整體決策之品質。

　　Web-based 3D geospatial data platform has been very popular in recent years, but most of the current progress has been focusing on the modeling of the geometry and the appearance of the 3-D phenomena. The lack of a comprehensive list of attributes certainly restricts the possible applications of 3D data in GIS applications. Furthermore, the heterogeneous data format of 3D data also impedes the successful distribution of 3D data across different application platforms. When trying to use existed 3D data provided by other georesources, we argued that application users should be able to interpret the data in an interoperable way and obtain sufficient information to deal with the possible heterogeneity between different datasets. This research thus proposed an object-based approach towards the creation, distribution and application of 3D building data, such that the costly 3D building data can be easily shared among the vast amount of users and organizations.
　　The proposed distribution process consists of three major steps. First, the modeling of a 3D building is based upon a hierarchy of featuretype with distinct properties according to their respective characteristics, e.g., buildings, walls, roofs, etc. This design specifically emphasizes the needs for the identification, time and quality of the 3D building data. Such self-describe featuretypes of the 3D building model are then encoded and distributed in CityGML, which allows application users to easily parse all the necessary information based on its open format nature. Finally, the developed interface of the application programs allows users to inspect or query the related information based on different types of constraints. With the standardized framework in the first step, this analysis allows users to visually identify the different levels of data quality of the 3D building data and improve the final decision making. In the future application environment, users inevitably need to use 3D building data produced by other organizations. The mechanism proposed in this paper facilitates a solid foundation to ensure both the quality and the interoperability of the distributed 3D building data. It can be further expanded to other types of 3D data and served as the foundation for developing a 3D geospatial data sharing environment.

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