隨著高雄輕軌的興建，高雄的大眾運輸系統變得更加完善。旅客可以輕鬆地搭乘捷運，再轉乘輕軌進行更遠距離的移動，這顯示出都市交通路網的擴展。原本南北向的捷運系統，逐漸沿著輕軌路線向外擴散，延伸至更遠的地區。輕軌帶來的人潮進一步促進了整個高雄地區的發展。
本文所探討的議題是高雄輕軌第一階段開通後，對於高雄小港地區捷運站周邊房價的影響。過往文獻顯示，大型交通建設對其周邊房地產有正向效果，然而卻鮮少有人去討論隨著交通路網的擴張，輕軌系統的興建，是否對於緊密相連的交通運輸系統，特別是捷運站周邊房地產的影響。
本研究蒐集2013年到2015年輕軌建設未完全開通前與2017年到2019年的不動產房屋資料，並以市場通勤准入(Commute Market Access,簡稱CMA)的變化率，搭配差異中差異法(Difference-in-Difference,簡稱DID)建立房屋特徵價格模型。從建立的雙對數房屋特徵模型結果顯示，CMA的變化率與房價有正向相關，當CMA的變化率每增加1%時，房價的對數上升0.7257%，這說明市場通勤准入改善所帶來的交通便利性提升，對房價有積極影響而且會逐漸顯現並增強。進一步而言，輕軌的開通不僅在短期內直接提升了相關交通運輸系統的效率，還因其與捷運系統的銜接，間接擴大了捷運系統的服務範圍和效能。

With the construction of the Kaohsiung Light Rail, the city's public transportation system has greatly improved. The light rail's opening has expanded the MRT's service area and boosted overall development in Kaohsiung.
This study explores the impact of the first phase of the Kaohsiung Light Rail on the property prices around MRT stations in the Xiaogang area of Kaohsiung. Previous literature indicates that large-scale transportation projects generally have a positive effect on nearby real estate. However, there is a lack of discussion on whether the expansion of the transportation network and the construction of the light rail system influence the real estate surrounding closely connected transportation systems, particularly the areas around MRT stations.
This study collected real estate data from 2013 to 2015, before the complete opening of the light rail, and from 2017 to 2019. Using the rate of change in Commute Market Access (CMA) and applying the Difference-in-Difference (DID) method, we established a hedonic pricing model for houses. The results from the double-log house characteristics model show that the rate of change in CMA is positively correlated with housing prices. For every 1% increase in the rate of change in CMA, the logarithm of housing prices increases by 0.7257%. Improved commute access enhances housing prices, with effects growing over time. Additionally, the light rail has boosted short-term transportation efficiency and expanded the MRT's service area.

論文審定書 i
致謝 ii
摘要 iii
Abstract iv
目錄 v
圖次 vi
表次 vii
第一章 緒論 1
第二章 文獻回顧 4
2-1 特徵價格理論及其對房價影響因素的應用 4
2-2 大眾運輸系統對房價影響 8
2-3 差異中之差異分析應用 10
第三章 研究方法 14
3-1 資料來源和範圍 14
3-2 變數說明 16
3-3 研究方法與設計 21
第四章 結果與討論 25
4-1 敘述性統計 25
4-2 實證模型分析 27
4-2-1 基本房價模型的建立 27
4-2-2 加入時間固定效果進行分析 30
4-2-3 捷運站距離分析 31
4-2-4 小結 32
第五章 結論與建議 34
5-1 結論 34
5-2 未來建議與方向 35
參考文獻 37
附錄 40

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