DC 欄位 值 語言 DC.contributor 營建管理研究所 zh_TW DC.creator 維蒂亞 zh_TW DC.creator Vidya Trisandini Azzizi en_US dc.date.accessioned 2018-1-26T07:39:07Z dc.date.available 2018-1-26T07:39:07Z dc.date.issued 2018 dc.identifier.uri http://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=105325603 dc.contributor.department 營建管理研究所 zh_TW DC.description 國立中央大學 zh_TW DC.description National Central University en_US dc.description.abstract 在道路開發的過程中，隨著周邊地區的交通改善，土地價格也會隨之提升；本研究以印尼東爪哇省Porong市所進行的主要道路開發為研究基礎，調查發現該地區的道路開發使其周圍的農地價格提升了317%、旱地價格提升了51%。本研究的目的是運用 Black-Scholes 理論將宏觀經濟學和環境特徵概念整合到一個給定地區， 從而開發一套預測地價模型， 期望此模型可以用以 (1) 協助投資者找出影響地價的因子並預測土地價格；(2) 協助政府做出有效的都市計畫政策；(3) 比對都市及鄉鎮地區之土地價格差異。 首先利用 ArcGIS獲取地價，然後利用ArcGIS進行地圖定位，再通過驗證性因素分析法確定影響地價的因素，然後將這些因素作為調整地價方程的材料。 結果表明，該模型的默認地價為1,314,000 IDR，準確率為93.6％ 。 研究結果顯示，2013與2014年期間，價格較高的土地多集中於收費道路旁；直到2015年，在新建道路周圍的土地開始有急遽上漲的情形。然而，影響土地價格的因素有多種不同的可能性，例如：主要道路、車站、圖書館、市區、購物中心、超市、醫療設施、公園、易洪區、泥流區、工業區或計畫道路等。本研究所提出的模型則可以作為投資者或政府在評估及預測未來土地價格作為預算基礎時，用來權衡及參考的一個工具，此一模型的運用將可以使建設案避免一些不必要的風險，同時減少合約爭議。 zh_TW dc.description.abstract Arterial road development in Porong, East Java, Indonesia, has been improving the accessibility in its surrounding area. The evidence shows that the increase for land price was up to 317% for agricultural land and 50% for drylands in two years. The objective of the study is to apply a land pricing model in a given region using Black-Scholes theory and integration of the macroeconomics and environmental features concepts in order to (1) serve as a tool for the investors to examine the factors and predict future price trends; (2) assist government in making effective urban development plan decisions; (3) make a comparison between urban and rural pricing. Data collection associated with land price was conducted and then mapped out using ArcGIS. Factors affecting land price were identified using Confirmatory Factor Analysis (CFA), and were further used as inputs for adjusting the land price equation. They are distance to arterial road, train station, library, downtown, outlet, supermarket, healthcare facility, park, flood-prone areas, mud flow areas, planned industrial park, and planned road network. Result shows that the model has accuracy rate at 93.6% in average where the average book values for land price were around 1,314,000 IDR. This model is effective to serve as a tool for investors and governments to examine the factors, and to predict future price trends, especially for budgeting purposes. en_US DC.subject 土地價格模型 zh_TW DC.subject Black-Scholes模型 zh_TW DC.subject 交通便利性 zh_TW DC.subject 宏觀經濟 zh_TW DC.subject 環境特徵因子 zh_TW DC.subject Land price model en_US DC.subject Black-Scholes Theory en_US DC.subject Accessibility en_US DC.subject Estimate en_US DC.subject Environmental Factors en_US DC.title 運用總體經濟與環境特徵概念之地價估價模式實證研究: 以印尼衛星都市為例 zh_TW dc.language.iso zh-TW zh-TW DC.title A PRELIMINARY EMPIRICAL LAND PRICE MODELLING USING ENVIRONMENTAL FEATURES: A CASE STUDY FOR A SATELLITE CITY IN INDONESIA en_US DC.type 博碩士論文 zh_TW DC.type thesis en_US DC.publisher National Central University en_US