除了促進人類的身體健康和福祉外，騎自行車活動還可提高對景觀的欣賞。本研究主要從騎乘自行車的角度探討騎乘者對交通廊道景觀感知的影響。通過圖像評級調查(n=316)，對定期、不定期和非騎乘車者進行了比較。研究以資訊處理理論(IPT)為基礎進行景觀偏好檢測分析。研究主要進行連貫性、複雜性、易讀性、神秘性和整體景觀偏好等五個因素的調查。IPT的理論指出這些因素中較高的值會導致更好的景觀偏好。本研究結合交通遊憩機會序列(TROS)的概念，在不同交通廊道類別(如都市、鄉村、道路自然和半原始機動)之間測試景觀偏好。研究先以騎乘自行車活動的頻率為根據而將受訪者分類，然後觀察其在不同交通廊道類別的IPT因素和景觀偏好之間的顯著差異；其後藉由線性迴歸分析，針對景觀偏好預測模型進行進一步討論。隨著更多自行車活動的進行，景觀偏好呈現出更好的趨勢，而預測模型顯示，與直接景觀因素相比，推斷的神秘性和易讀性景觀因素對景觀偏好的影響更大。由於交通廊道是為移動而建造的，與三维移動相關的因素在受訪者的景觀偏好中提供了更多的權重。結果揭示了騎自行車活動在增加各類交通廊道的景觀偏好方面的價值。

Outside of human physical health and well-being, cycling activity could be used to improve appreciation of the landscape. This study mainly explores the influence of cyclists on traffic corridor landscape perception. Comparisons were made between regular, irregular, and non-cyclists through an image-rating survey (n=316). Landscape preferences based on the Information Processing Theory (IPT) were tested for analysis. The following factors were investigated: coherence, complexity, legibility, mystery, and overall landscape preference. The general theory behind the IPT suggested that higher values among the factors led to better landscape preference. Combined with the concept of the Transport Recreation Opportunity Spectrum (TROS), landscape preferences were tested between different transport corridor classes, namely: urban, rural, roaded natural, and semi-primitive motorized. Respondents were categorized between frequency of cycling activity and then observed for significant differences between IPT factors and landscape preferences at various transport corridor classes. A linear regression analysis is used to further discuss the prediction model of landscape preference. There was a trend of better landscape preferences as more cycling activity was conducted, while the prediction model revealed the inferred landscape factors of mystery and legibility had more influence on landscape preference compared to the immediate landscape factors. Since transport corridors were built for movement, factors relating to three-dimensional movement provided more weight in the landscape preferences of the respondents. Results revealed the value of cycling activity in increasing landscape preferences across classes of transport corridors.