http://scholars.ntou.edu.tw/handle/123456789/9 2026-06-09T08:26:15Z 2026-06-09T08:26:15Z 饒瑞正 http://scholars.ntou.edu.tw/handle/123456789/26557 2026-05-28T02:01:07Z 2025-11-01T00:00:00Z

標題: 船舶所有人於海商法第62條、第69條及第70條第2項之解釋 作者: 饒瑞正 摘要: 甲為我國籍貨櫃船「長輝輪」船舶所有權人與乙訂有光船租賃契約（bareboat charter）。乙於租賃期間經營船舶運送業，將「長輝輪」布署於遠東至美西往返固定航線。乙復與丙就貨物一批訂定固定航線貨物運送契約，從洛杉磯港至高雄港。受僱於乙的值班船副丁因不適任而操船過失致船舶擱淺及該批貨物毀損。試問：甲是否為海商法第62條適航性義務、第69條法定免責事由及第70條第2項單位限責權之適用主體？

2025-11-01T00:00:00Z Jao, Juei-Cheng Chuah, Jason C. T. http://scholars.ntou.edu.tw/handle/123456789/26556 2026-05-28T01:53:16Z 2026-01-01T00:00:00Z

標題: Artificial intelligence in negotiating energy production and other interests in marine spatial planning-managing transparency and bias 作者: Jao, Juei-Cheng; Chuah, Jason C. T. 摘要: The placement of offshore energy production units and structures (such as pipelines) will invariably come within the scope of any prevailing marine spatial planning (MSP) regime. There is increasing reliance on AI to ensure precision in placement. The data generated in many instances would be adopted by the authorities in implementing any applicable marine spatial plan. However, where there are many competing socio-economic and legal interests in the marine space, the use of AI by offshore energy corporates might well produce bias, whether intentional or not. This work maps out the risks of bias in this offshore energy and MSP context. It asks whether a liability system scheme like the EU AI Law could work. It concludes with thoughts on how, from a legal and regulatory perspective, spatial data sharing and AI used in an MSP context for offshore energy could be improved.

2026-01-01T00:00:00Z Jao, Juei-Cheng Alvi, Muhammad Hanzla http://scholars.ntou.edu.tw/handle/123456789/26555 2026-05-28T01:54:36Z 2026-03-01T00:00:00Z

標題: Greening the Maritime Sector Through Autonomous Shipping: Rethinking Safety, Liability, and Regulatory Frameworks 作者: Jao, Juei-Cheng; Alvi, Muhammad Hanzla 摘要: This article examines the intersection between maritime decarbonization and the rise of Maritime Autonomous Surface Ships (MASS). International shipping contributes nearly three percent of global greenhouse gas emissions, making technological innovation essential to meet the International Maritime Organization (IMO)'s 2023 Greenhouse Gas Strategy and net-zero ambitions. MASS, powered by artificial intelligence, offer opportunities for fuel optimization, emissions reduction, and digital efficiency. Yet, their deployment exposes profound legal gaps. Existing conventions-such as the International Convention for the Safety of Life at Sea (SOLAS), the Convention on the International Regulations for Preventing Collisions at Sea (COLREGS), the International Convention on Standards of Training, Certification and Watchkeeping for Seafarers (STCW), and the Convention on Limitation of Liability for Maritime Claims (LLMC)) 1976 (Convention on Limitation of Liability for Maritime Claims (LLMC) 1976)-were drafted for crewed vessels, leaving unresolved questions about safety oversight, cybersecurity resilience, and liability allocation among shipowners, artificial intelligence developers, and Remote Control Centers. Through case studies such as the Wakashio and comparative insights from oil pollution, nuclear liability, and aviation law, the article demonstrates how fragmented liability regimes risk either under-compensating victims or over-deterring innovation. It argues for proactive reform: extending limitation rights conditionally to new stakeholders, redefining recklessness standards, mandating insurance, and potentially establishing international compensation funds. The study concludes that only by recalibrating legal frameworks can MASS become a catalyst for a greener, safer, and more equitable maritime future.

2026-03-01T00:00:00Z Chung, Huey-Shian Zheng, Yu-Lun http://scholars.ntou.edu.tw/handle/123456789/26171 2026-03-12T03:20:20Z 2025-01-01T00:00:00Z

標題: Bridging the gap of localizing international MPA management effectiveness indicators and policy implications 作者: Chung, Huey-Shian; Zheng, Yu-Lun 摘要: Marine protected areas (MPAs) are a global priority for biodiversity conservation, with rapid expansion increasing the need for effective management assessment mechanisms. While international assessment toolboxes exist, they are often criticized for being complex or misaligned with local conditions, prompting a need for context-specific approaches. However, there has been little focus on identifying and addressing the challenges of localizing these international tools. This study addresses this gap by presenting an importance-applicability analysis of the frequently used management effectiveness indicators based on the International Union for Conservation of Nature (IUCN) framework, applied to a benchmark, the Wanghaixiang Chaojing Bay Resource Conservation Area in Taiwan. Through a literature review and semistructured interviews, the study examines the practical challenges of implementing the indicators. Findings indicate a clear gap between the perceived importance of the indicators and their local applicability, highlighting hidden challenges related to data availability, expertise, local context, and governance structures across biophysical, socioeconomic, and governance indicators. The strategies to bridge this gap are including accounting for indicator interconnectedness, designing long-term evaluation plans, and incorporating the perspectives of onsite managers, whose daily operational knowledge is vital but often overlooked. The findings contribute to removing obstacles in worldwide marine conservation by improving the cost-effectiveness and consistency of MPA governance.

2025-01-01T00:00:00Z