台灣總能源消費自1998 年至2013 年以成長率2.03 % /年速度增加，住商部門占全體用電比達36 %，人類生活與消費行為、社會經濟發展對於能資源代謝的研究方法是至關重要的。隨著都市系統中社會經濟活動於地理分佈的差異與變化，能源累積(stocks)總量地圖特徵也有所不同。然而，分析人類活動時空分布與消費行為對能資源代謝影響，降尺度空間分析對於區域性能源代謝評估是一項嚴苛挑戰，伴隨生活與工作型態改變，例如:遠程辦公、遠程休閒、網路購物、協同消費(共享經濟)…等，各族群的生活與消費習慣對於能源需求已變化，為了探討生活習慣與消費習慣對能源消費時空交互影響，本研究運用地理空間分析方法建立都市環境-人類行為-能源消耗的地理空間模型，包含地理加權迴歸分析(GWR)與基於個體模型(ABM)，並規劃達成以下三個目標包括：（1）分析不同族群因生活習慣與消費習慣對能源使用變化；（2）建立小尺度能源代謝整合模擬(生活與消費習慣)地理空間模型；（3）探索能源代謝的累積(stocks)地圖，討論農業與住商不同區域能源管理策略。
The total energy consumption in Taiwan has rapidly increased at a rate of 2.03% per year from 1998 to 2013. As the residential sector accounts for 36% of this total energy consumption, the establishment of a geographic dynamic model in terms of socio-economic conditions, human behavior, and energy consumption is very important for urban metabolism. With the changes in the geographical distribution of socio-economic activities in urban systems, the characteristics of the total energy stocks map also show a significant difference. Nevertheless, down-scaling of spatial analysis presents a severe challenge for the assessment of energy consumption of regional urban metabolism, which is further complicated by the changes in life and work patterns, such as remote office, remote leisure, internet shopping, and coordinated consumption (shared economy). In order to explore the interaction between lifestyle and consumption habits with respect to the spatial and temporal changes of energy consumption, this study uses a geographical analysis method, including geographic weighted regression analysis (GWR) and agent-based model (ABM), to establish a spatial energy metabolism model in terms of urban environment-human behavior-energy consumption to achieve three research goals. These are: (1) to investigate and analyze the changes in living and consumption habits with respect to energy use; (2) to establish a geographic spatial model for energy metabolism integration simulation (living and consumption habits); (3) to explore the energy metabolism stocks map to discuss energy management strategies for the residential sectors of agriculture and urban areas.
