比較高鐵站不同選址地點對周圍住宅價格之影響：特徵價格模型的多層次分析

交通建設能夠縮短地區間的通勤成本與時間，提升一地之可近性從而使房價上漲。其中，高鐵於城際運輸所扮演的角色日趨重要。然而較少相關研究探討高鐵不同候選站址於選址階段之房價變化情形。為比較此時期不同高鐵候選站址周圍地區房價的變化，及其隨著空間距離的改變情形，本研究考量房價資料具有多層次之特性，使用多層次特徵價格模型，分為二個階段執行分析。第一階段以宜蘭站與羅東站為中心，分別比較其周圍地區於候選站址地點公告後之房價變化情形。第二階段則聚焦於與宜蘭站及羅東站不同空間距離之區域，探討房價於候選站址地點公告後各自的改變狀況。結果顯示，於公告候選站址地點後，宜蘭站周圍地區之房價相較於羅東站周圍地區顯著上漲。此外，隨著與站址的距離增加，宜蘭站周圍地區的房價變化呈現先下跌後上漲之趨勢；而羅東站周圍地區則呈現持續上漲之現象。根據本研究之分析結果，可知於公告候選站址地點後，站址周圍的房價變化除了會因不同站址而異外，亦會隨著與候選站址的空間距離而改變。此結果將可作為高鐵建設案於對規劃選址階段對房價影響之經驗證據，以供執政者、投資者與買房民眾作為決策之參考依據。

關鍵字

多層次特徵價格模型；房價；高鐵宜蘭站

並列摘要

Transportation construction can reduce commuting costs and time between regions and improve accessibility of a place, thus causing housing prices to rise. The role of high-speed rail in inter-city transportation is becoming increasingly important. However, there are fewer studies that explore the changes in housing prices during the planning stage for different candidate high-speed rail station sites. Considering the multi-level characteristics of the housing price data, this study uses multilevel hedonic price modeling to compare the changes in housing prices differ from different candidate high-speed rail station sites and spatial distance during this period. The analysis process is divided into two stages. In the first stage, the Yilan Station and Luodong Station are the centers, respectively comparing the housing price changes in their surrounding areas after the announcement of the candidate station site. In the second stage, the focus is on areas with different spatial distances from Yilan Station and Luodong Station, exploring the changes in housing prices after the announcement of the candidate station site. The results show that after the announcement of the candidate station sites, the housing prices in the area around Yilan Station were significantly higher compared to those around Luodong Station. In addition, as the distance from the station site increased, the housing prices in the area around Yilan Station showed a trend of first falling and then rising, while those around Luodong Station showed a continuous upward trend. Based on the results of this study, it can be known that after the announcement of the candidate station site, the changes in housing prices around the station site will not only differ between different station sites, but also change with the spatial distance from the candidate station site. This result can serve as empirical evidence for the impact of high-speed rail construction on housing prices during the planning stage, providing reference for decision-making by the policymakers, investors and home buyers.