Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/122682
題名: 蘭陽平原農地轉用影響因子分析與空間規劃政策探討:系統方法之引入
An Analysis of Agricultural Land Change Factors and Spatial Planning Policies Review for Lan-Yang Plain: The System Approach
作者: 陳維斌
Chen, Wei-Bin
李俊霖
Lee, Chun-Lin
張琪如
Chang, Chi-Ru
王瓊芯
Wang, Chiung-Hsin
貢獻者: 臺灣土地研究
關鍵詞: 系統方法;空間規劃政策;農地轉用;過程基礎;影響因子
Agricultural land change;Factors;Process-based;System approach;Spatial planning policies review
日期: Nov-2016
上傳時間: 28-Mar-2019
摘要: 蘭陽平原自1991年國道五號開工,2000年農業發展條例修正通過後,因預期心理大量興建農舍,此一農地轉用不僅破壞了農地的生產功能,其對於社會經濟系統以及環境生態系統所扮演的重要文化、調節與支持功能也一併消失。為能進一步探討其農地轉用之影響因子,本研究引用系統生態學(system ecology)的「系統」方法為基礎,透過專家學者與農民之訪談,以農地尺度(farm scale)與過程基礎(process-based)觀點建立蘭陽平原農地轉用系統與假說,並以1977年、1995年至2006年的蘭陽平原的農地轉用為例,整合GIS與逐步迴歸分析方法進行多時期(multi-periods)的分析,其中主要將蘭陽平原劃分為245個網格空間(1.5×1.5公里),以進一步指認出系統中,農地本身特性與鄰域條件於蘭陽平原農地轉用的影響關係。經蘭陽平原農地轉用假說驗證結果顯示,一、農地破碎化會影響農地轉用率,以耕地(含旱作地、稻作地)具有解釋力;二、農地的單位面積土地價格確實會影響農地轉用;三、未轉用廢耕地、稻作地面積比會影響農地轉用率;四、生活機能影響對農地轉用具重要影響力;五、緊鄰住宅、商業、四米(含以上)道路、大專院校的農地,及離河流較近的農地,因周邊投資效益佳,對於農地轉用影響較為顯著;六、農地轉用受周圍的住宅數量影響,並以後期的都市地區較為明顯;七、農地轉用具有次要火車站衛星現象。最後,本研究在農地轉用因子之時間與空間交叉分析後建議,農地保育政策必須更貼近農民決策之農地轉用因子,並且能夠將非農業的潛在轉用影響因子納入整合性的考量,以針對具有空間差異性的轉用因子提出農地保育的空間策略。
Since the construction of National Freeway No. 5 in 1991 and the amendment of the Agricultural Development Act in 2000, real estate prospects have driven a rapid bloom of housing developments in agricultural lands in the Lan-Yang Plains. Such landuse transformations have not only diminished the provisioning services of agricultural land, but also degraded their cultural, regulating, and supporting services. In this study, a systems approach is used to examine various hypotheses regarding the transformation of farms to housing developments in Lan-Yang Plains. Information gathered from interviews with farmers and experts in agricultural land-use planning are used to form a farm-scale, process-based systems model of agricultural land-use change. Land use maps from 1977, 1995, and 2006 are divided into 245 square grids (1.5 km × 1.5 km) and analyzed with GIS to derive farm, neighborhood (within same grid), and external factors. Stepwise regression models with these factors are then used to parameterize the probability of agricultural land-use change in the systems model. Empirical results suggest that the rate of agricultural land-use change is affected by: 1) fragmentation of agricultural lands; 2) unit land price; 3) the area of abandoned fields still developable under current regulations; 4) availability of shopping and services in the same grid; 5) the density of housing in the same grid; 6) proximity of grid to other housings, business districts, roads wider than 4m, university campuses, riverfronts, and other factors that enhance investment prospects; and 7) proximity of grid to secondary train stations. We suggest that agricultural land use policies should be more aligned to the factors driving the land-use decisions of individual farmers, especially because such decisions have spatial implications much larger than the space allotted to housings.
關聯: 臺灣土地研究, 19(2), pp.1-35
資料類型: article
Appears in Collections:期刊論文

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