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篇名
在後疫情時代以產業恢復力觀點解析原住民族產業空間轉化與調適之研究
並列篇名
Analysis of Indigenous Industrial Space Transformation and Adjustment Strategies with the Coming of the Epidemic Era and Industrial Resilience
作者 胡太山賈秉靜李翰諭林沛臻
中文摘要
2020年起COVID-19疫情讓城市發展受到衝擊,吸引學界探討如何在疫情過後展現恢復力,定義空間的運用策略。「韌性/恢復力」是相關文獻常見的同義詞,探討範圍從城市至社區規模,誘因都是需要重建空間秩序或社會環境動能的恢復行動。本研究透過文獻及訪談,分析在後疫情時代與產業恢復力觀點下原民部落發展模式與影響因素,並以台南左鎮、新化地區澄山社區為研究範圍,探討部落在現行土地規劃思維與疫情影響下,因應衝擊事件的恢復力為何。
研究發現疫情對研究地區在生活上衝擊不如都市嚴重,但交通不便使資源供應較慢,科技普及率也較低,使恢復速度不如都市;生產面相較短期的疫情衝擊,長期課題是發展永續經營與傳承生產經驗。地方雖展現出調適能力,在行銷上仍需外部支援,建議從永續面利用國土計畫帶入發展契機及智慧服務的導入,為產業與生活帶來翻轉機會。
英文摘要
Since 2020, the COVID-19 epidemic has impacted urban development, attracting academic circles to discuss how to demonstrate ''resilience'' after the epidemic, from cities to communities, to rebuild spatial order or restore social and environmental momentum. Through literature and interviews, this study takes Zuozhen District and Xinhua District in Tainan City as the research scope to explore the tribe's resilience in response to shock events under the current land planning thinking and the impact of the epidemic. The study found that the impact of the epidemic on life is not as serious as that in cities, but the inconvenient transportation makes the supply of resources slower, and the rate of technology penetration is also lower, making the recovery slower than in cities; compared with the short-term impact of the epidemic on the production side, the long-term issue is the development of sustainable management and inheritance production experience. From the perspective of sustainability, it is recommended to use the land plan to bring in development opportunities and the introduction of smart services, bringing opportunities for industry and life to change.
起訖頁 43-59
關鍵詞 COVID-19原住民族地區產業發展脆弱性恢復力Covid-19indigenous tribeindustrial developmentvulnerabilityresilience
刊名 建築與規劃學報  
期數 202406 (24:1-2期)
出版單位 中華大學建築與都市計畫學系
該期刊-上一篇 Select Street Analysis of Patna (India) in terms of Urban Design Qualities
該期刊-下一篇 Analyzing Factors Affecting Logistics Costs In A Smart City Under A Fuzzy Improvement Method
 

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