16,234 research outputs found

    Internal report cluster 1: Urban freight innovations and solutions for sustainable deliveries (1/4)

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    Technical report about sustainable urban freight solutions, part 1 of

    Internal report cluster 1: Urban freight innovations and solutions for sustainable deliveries (2/4)

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    Technical report about sustainable urban freight solutions, part 2 of

    Internal report cluster 1: Urban freight innovations and solutions for sustainable deliveries (3/4)

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    Technical report about sustainable urban freight solutions, part 3 of

    Green Logistics development and evaluation of the carbon footprint

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    Along with the worldwide climate changing, human activities and the rapid deterioration of the environment, Low-carbon economy in recent years become increasingly focus of attention in people's lives. The economic reform will gradually penetrate into the logistics system, modern logistics as a composite service industry, play a decisive role in the modern division of labor and cooperation under the social environment, it is a manufacturing! The important supporting business is an important bridge between production and consumption. The logistics industry is in a period of rapid development, the logistics process not only energy consumption demand is big, and the C02 emissions are also large. Coupled with the destruction of the human living environment, the greenhouse effect becomes more and more prominent, more the need of the development of green logistics, low carbon logistics. However, at home and abroad for most of the research of this aspect is still stay in the stage of qualitative analysis, quantitative analysis of the literature on energy consumption and C02 emission of less amount of logistics system. There are four objectives will be discussed. The first objective is the relevant literature on the green logistics is summarized, which lays the foundation for the research in this paper, green logistics. The second objective is the energy consumption and C02 calculation models were summarized, to provide reference for other scholars to conduct relevant research. The third objective is through statistical analysis, master the different modes of transport energy consumption and C02 emissions, and provide the basis for enterprises to choose the mode of transport. The fourth objective combining with specific examples, analyzed the carbon footprint of the logistics process instance modeling based on LCA.fi=Opinnรคytetyรถ kokotekstinรค PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lรคrdomsprov tillgรคngligt som fulltext i PDF-format

    ะ—ะฑั–ั€ะฝะธะบ ั‚ะตะบัั‚ั–ะฒ ั– ะทะฐะฒะดะฐะฝัŒ ะท ะดะธัั†ะธะฟะปั–ะฝะธ ยซะ†ะฝะพะทะตะผะฝะฐ ะผะพะฒะฐ (ะทะฐ ะฟั€ะพั„ะตัั–ะนะฝะธะผ ัะฟั€ัะผัƒะฒะฐะฝะฝัะผ)ยป (ะฐะฝะณะปั–ะนััŒะบะฐ ะผะพะฒะฐ) ะดะปั ะพั€ะณะฐะฝั–ะทะฐั†ั–ั— ัะฐะผะพัั‚ั–ะนะฝะพั— ั€ะพะฑะพั‚ะธ ัั‚ัƒะดะตะฝั‚ั–ะฒ 2 ะบัƒั€ััƒ ะดะตะฝะฝะพั— ั„ะพั€ะผะธ ะฝะฐะฒั‡ะฐะฝะฝั ะฝะฐะฟั€ัะผัƒ ะฟั–ะดะณะพั‚ะพะฒะบะธ 6.070101 ยซะขั€ะฐะฝัะฟะพั€ั‚ะฝั– ั‚ะตั…ะฝะพะปะพะณั–ั—ยป (ะทะฐ ะฒะธะดะฐะผะธ ั‚ั€ะฐะฝัะฟะพั€ั‚ัƒ).

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    Assessing the environmental impact of logistics sites through CO2eq footprint computation

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    The environmental sustainability of logistics facilities is widely acknowledged as an important issue, but a comprehensive standardised methodology for assessing their environmental impact is lacking. This study proposes a structured model for quantifying both consumptions and generated greenhouse gas (GHG) emissions, adopting a three-phase methodology that combines multiple methods. A literature-based conceptual framework was leveraged to design an analytical model, and in-depth interviews with 11 senior logistics managers were conducted. The study offers a replicable methodology that considers heterogeneous sources of consumption and related end-use types, further splitting consumptions and emissions by warehouses' functional areas. It offers a set of Environmental Performance Indicators (EPIs) that could bolster a clearer understanding of the warehouse environmental performance. A robust tool is offered to managers to support their decision-making processes, allowing for both internal assessments and benchmarking with competitors or other players along the supply chain, thus contributing to shape company's, or even supply chain, sustainability strategies

    Environmental impact of warehousing: a scenario analysis for the United States

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    In recent years, there has been observed a continued growth of global carbon dioxide emissions, which are considered as a crucial factor for the greenhouse effect and associated with substantial environmental damages. Amongst others, logistic activities in global supply chains have become a major cause of industrial emissions and the progressing environmental pollution. Although a significant amount of logistic-related carbon dioxide emissions is caused by storage and material handling processes in warehouses, prior research mostly focused on the transport elements. The environmental impact of warehousing has received only little attention by research so far. Operating large and highly technological warehouses, however, causes a significant amount of energy consumption due to lighting, heating, cooling and air condition as well as fixed and mobile material handling equipment which induces considerable carbon dioxide emissions. The aim of this paper is to summarise preliminary studies of warehouse-related emissions and to discuss an integrated classification scheme enabling researchers and practitioners to systematically assess the carbon footprint of warehouse operations. Based on the systematic assessment approach containing emissions determinants and aggregates, overall warehouse emissions as well as several strategies for reducing the carbon footprint will be studied at the country level using empirical data of the United States. In addition, a factorial analysis of the warehouse-related carbon dioxide emissions in the United States enables the estimation of future developments and facilitates valuable insights for identifying effective mitigation strategies

    Bridging the Gap Between Energy and Climate Policies in Brazil: Policy Options to Reduce Energy-Related GHG Emissions

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    Brazil is facing a series of important policy decisions that will determine its energy future over the next several decades, with important implications for the country's economic competitiveness, the well-being of its citizens, and the global climate. The decisions concern the direction of approximately 0.5 trillion U.S. dollars of anticipated investment in energy infrastructure over the next decade -- which can either lock in carbon-intensive infrastructure, or advance Brazil's position as a leader in the low-carbon economy. This report examines Brazil's key energy-related GHG emitting sectors through a climate lens in order to offer recommendations for a more integrated approach that can more effectively reconcile energy and climate needs. It begins with an overview of Brazil's past energy and GHG emissions profiles, current pledges and future trends, and a discussion of the implications for a possible allocation of the remaining global carbon budget. Next, it reviews available scenarios for Brazil's energy-related GHG emissions in order to identify key drivers and results and compare them to a given allocation of the global carbon budget. It then focuses on the top emitting subsectors -- transport, industry, and power generation -- to identify key abatement opportunities. The report concludes with recommendations regarding a portfolio of policies and measures that could achieve both climate and energy objectives

    Focusing on the case analysis of advanced smart ports

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ๊ธ€๋กœ๋ฒŒํ–‰์ •์ „๊ณต, 2023. 2. Lee, Soo-young.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ๊ทผ ๊ฐ๊ด‘๋ฐ›๊ณ  ์žˆ๋Š” ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๊ฐœ๋…๊ณผ ํ•ญ๋งŒ ๊ฒฝ์Ÿ๋ ฅ๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ๊ณ ์ฐฐํ•ด ๋ณด๊ณ , ์„ ์ง„ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์— ๋Œ€ํ•œ ๋‹ค๊ฐ์ ์ธ ๋ถ„์„์„ ํ†ตํ•ด ์šฐ๋ฆฌ๋‚˜๋ผ ์Šค๋งˆํŠธ ํ•ญ๋งŒ ๋ฐœ์ „ ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด A. Molavi ์™ธ์˜ ์—ฐ๊ตฌ์—์„œ ํ™•๋ฆฝ๋œ ์Šค๋งˆํŠธ ํ•ญ๋งŒ ํ‰๊ฐ€ ์ฒ™๋„์˜ 4๊ฐ€์ง€ ์ธก๋ฉด, ์šด์˜์ธก๋ฉด(Operation), ํ™˜๊ฒฝ์ธก๋ฉด(Environment), ์—๋„ˆ์ง€ ์ธก๋ฉด(Energy), ๊ทธ๋ฆฌ๊ณ  ์•ˆ์ „๊ณผ ๋ณด์•ˆ ์ธก๋ฉด(Safety & Security)์˜ ๋ถ„์„ํ‹€์„ ํ™œ์šฉํ•˜์—ฌ ์Šค๋งˆํŠธ ํ•ญ๋งŒ ๊ฐœ๋ฐœ๊ณผ ๋ฐœ์ „์— ๊ฐ€์žฅ ์•ž์„  ๋„ค๋œ๋ž€๋“œ์˜ ๋กœํ…Œ๋ฅด๋‹ด ํ•ญ๋งŒ๊ณผ ๋…์ผ์˜ ํ•จ๋ถ€๋ฅดํฌ ํ•ญ๋งŒ์˜ ์ •์ฑ… ๋ถ„์„์„ ์‹œ๋„ํ•˜์˜€๋‹ค. A. Molavi ์™ธ์˜ ์—ฐ๊ตฌ๋Š” ์ธก์ • ๊ฐ€๋Šฅํ•œ ์Šค๋งˆํŠธํ™” ์ง€์ˆ˜๋ฅผ ๋ฐœ์ „์‹œ์ผœ ๊ฐ ํ•ญ๋งŒ์˜ ์Šค๋งˆํŠธํ™” ์ •๋„๋ฅผ ๊ฐ€๋Š ํ•˜๊ณ  ์žฅ๋‹จ์ ์„ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•˜๊ธฐ ์œ„ํ•œ ์ทจ์ง€์—์„œ ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ํ‰๊ฐ€ ์ฒ™๋„๋ฅผ ํ™œ์šฉํ•˜๋˜ ์งˆ์ ์ธ ๋ถ„์„์œผ๋กœ ์ ‘๊ทผํ•˜์—ฌ ์ •์ฑ… ํ™œ์šฉ ์ธก๋ฉด์—์„œ ์œ ์šฉํ•œ ์‹œ์‚ฌ์ ์„ ๋„์ถœํ•˜๋Š”๋ฐ ๋ชฉ์ ์„ ๋‘์—ˆ๋‹ค. ๋˜ํ•œ ๋™์ผํ•œ ํ‹€์„ ํ™œ์šฉํ•˜์—ฌ ํ˜„์žฌ ๋ถ€์‚ฐ ์ปจํ…Œ์ด๋„ˆ ํ„ฐ๋ฏธ๋„์˜ ์Šค๋งˆํŠธ ํ•ญ๋งŒ ๋ฐœ์ „ ๊ณ„ํš์„ ๋ถ„์„ํ•˜๊ณ  ๋ฐœ์ „๋ฐฉํ–ฅ ์„ค์ •์— ๋„์›€์„ ์ฃผ๊ณ ์ž ํ•˜์˜€๋‹ค. ์šฐ์„  ์šด์˜ ์ธก๋ฉด์—์„œ ์„ ์ง„ ์Šค๋งˆํŠธ ํ•ญ๋งŒ๋“ค์€ ํ•ญ๋งŒ ๋‚ด ํ•˜์—ญ ์ „ ๊ณผ์ •์˜ ์™„์ „ ์ž๋™ํ™”๋ฅผ ๋‹ฌ์„ฑํ•˜์˜€๊ณ , ์ด์— ๊ทธ์น˜์ง€ ์•Š๊ณ  ํ•ญ๋งŒ ๋‚ด ๋ชจ๋“  ๊ณผ์ •์„ 4์ฐจ ์‚ฐ์—…ํ˜๋ช…์˜ ์ฒจ๋‹จ ๊ธฐ์ˆ ๋“ค์„ ํ™œ์šฉํ•˜์—ฌ ๋ฌด์ธํ™”์™€ ํšจ์œจํ™”๋ฅผ ์ถ”๊ตฌํ•˜์˜€๋‹ค. ์ด ๊ณผ์ •์—์„œ A.I, IoT, ๋ธ”๋ก์ฒด์ธ ๋“ฑ 4์ฐจ ์‚ฐ์—…ํ˜๋ช…์˜ ํ•ต์‹ฌ ๊ธฐ์ˆ ๋“ค์„ ์ ๊ทน ํ™œ์šฉํ•˜์—ฌ ํ•ญ๋งŒ์˜ ์ „์ฒด์ ์ธ ๋ชจ์Šต์„ ๋ณ€ํ™”์‹œ์ผœ ๊ฐ€๊ณ  ์žˆ์œผ๋ฉฐ, ๋น„์šฉ์ ˆ๊ฐ๊ณผ ์ƒ์‚ฐ์„ฑ ์ฆ๋Œ€ ๋“ฑ ์ง์ ‘์ ์ธ ํšจ๊ณผ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ธ€๋กœ๋ฒŒ ๋ฌผ๋ฅ˜์˜ ํ•ต์‹ฌ ๊ตฌ์‹ฌ์ ์œผ๋กœ์จ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๊ฐ€๋Šฅ์„ฑ์„ ๋ฐœ์ „์‹œ์ผœ ๋‚˜๊ฐ€๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ํ•ญ๋งŒ ๊ฒฝ์Ÿ๋ ฅ ํ–ฅ์ƒ์€ ๋ฌผ๋ก  ๋ฌผ๋ฅ˜ ํฌํ„ธ๋กœ์จ์˜ ์ง€์œ„๋ฅผ ์„ ์ ํ•˜๊ธฐ ์œ„ํ•œ ๊ฒฝ์Ÿ๋„ ์‹ฌํ™”๋˜๊ณ  ์žˆ๋‹ค. ํ™˜๊ฒฝ ์ธก๋ฉด์—์„œ๋Š” ์นœํ™˜๊ฒฝ ํ•ญ๋งŒ์— ๋Œ€ํ•œ ๊ด€์‹ฌ์ด ์ฆ๋Œ€๋˜๊ณ  ์žˆ๋‹ค. ํ•ญ๋งŒ์€ ๋” ์ด์ƒ ๋„์‹œ์™€ ๋ถ„๋ฆฌ๋˜์–ด ์กด์žฌํ•˜๋Š” ๋…๋ฆฝ๋œ ์˜์—ญ์ด ์•„๋‹Œ, ์ธ์ ‘ ๋„์‹œ ์ฃผ๋ฏผ๋“ค๊ณผ ์ƒํ˜ธ ์˜ํ–ฅ์„ ์ฃผ๊ณ ๋ฐ›์œผ๋ฉฐ ๋ฐœ์ „ํ•˜๋Š” ํ˜ธํ˜œ์ ์ธ ๊ด€๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•ด์•ผ ํ•œ๋‹ค๋Š”๋ฐ ๊ณต๊ฐ๋Œ€๊ฐ€ ํ˜•์„ฑ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๊ทธ๋™์•ˆ ํ•ญ๋งŒ ํ™œ๋™์„ ํ†ตํ•ด ์•ผ๊ธฐ๋˜์—ˆ๋˜ ํ™˜๊ฒฝ ์˜ค์—ผ ๋ฌธ์ œ๋ฅผ ์ค„์ด๊ณ  ์ง€์—ญ์‚ฌํšŒ์— ๊ธฐ์—ฌํ•˜๊ธฐ ์œ„ํ•œ ๋…ธ๋ ฅ๋“ค์ด ํ™œ๋ฐœํžˆ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. ์ „๋ ฅ์— ๊ธฐ๋ฐ˜ํ•œ ์นœํ™˜๊ฒฝ ํ•˜์—ญ์žฅ๋น„๋กœ ๋Œ€์ฒดํ•˜๊ณ , ์„ ๋ฐ•์˜ ์—ฐ๋ฃŒ๋ฅผ ์นœํ™˜๊ฒฝ ์—ฐ๋ฃŒ๋กœ ์ „ํ™˜ํ•˜๋Š” ๋…ธ๋ ฅ์ด ์ง„ํ–‰ ์ค‘์ด๋‹ค. ํ•ญ๋งŒ ๋‚ด ์œ ํœด๋ถ€์ง€๋ฅผ ํ™œ์šฉํ•ด ์‹ ์žฌ์ƒ์—๋„ˆ์ง€๋ฅผ ๋ฐœ์ „ํ•˜๊ณ  ์ธ๊ทผ ์ง€์—ญ์— ๊ณต๊ธ‰ํ•˜๋Š” ๋ฐฉ์•ˆ๊ณผ, ํ•ญ๋งŒ์˜ ํ™˜๊ฒฝ ๋ฌธ์ œ๋ฅผ IoT ๊ธฐ์ˆ ์„ ํ™œ์šฉํ•˜์—ฌ ์‹ค์‹œ๊ฐ„์œผ๋กœ ๊ฐ์‹œํ•˜๊ณ  ๊ณต์œ ํ•˜๋Š” ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ•˜์—ฌ ํ•ญ๋งŒ์˜ ์ง€์† ๊ฐ€๋Šฅํ•œ ๋ฐœ์ „์„ ์˜๋„ํ•˜๋ฉฐ ํƒ„์†Œ ์ค‘๋ฆฝ ์‚ฌํšŒ๋กœ์˜ ์ง„์ „์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ์ž์ฒ˜ํ•˜๊ณ  ์žˆ๋‹ค. ์—๋„ˆ์ง€ ์ธก๋ฉด์—์„œ๋Š” ์Šค๋งˆํŠธ ํ•ญ๋งŒ์ด ๋ฏธ๋ž˜ ์ˆ˜์†Œ ์‚ฌํšŒ์˜ ํ•ต์‹ฌ ๊ณต๊ธ‰ ๊ธฐ์ง€๊ฐ€ ๋  ์ „๋ง์ด๋‹ค. ํ•ด์ƒ ๋ฌผ๋ฅ˜์™€ ์œก์ƒ ๋ฌผ๋ฅ˜๊ฐ€ ๊ฒฐํ•ฉ๋˜๋Š” ๊ธฐ๋Šฅ์  ์ด์ ์„ ํ™œ์šฉํ•˜์—ฌ ์ˆ˜์†Œ์˜ ์ƒ์‚ฐ๊ณผ ์ €์žฅ, ๋ถ„๋ฐฐ ๋“ฑ ์ˆ˜์†Œ ๊ฒฝ์ œ์˜ ํ•ต์‹ฌ ์ธํ”„๋ผ๋ฅผ ํ•ญ๋งŒ ๋‚ด ๊ตฌ์ถ•ํ•˜๊ณ  ํ•ญ๋งŒ ๊ธฐ๋Šฅ๊ณผ์˜ ๊ฒฐํ•ฉ์„ ์‹œ๋„ํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์„ ์ง„ ํ•ญ๋งŒ๋“ค์€ ๋Œ€๊ทœ๋ชจ ํŒŒ์ดํ”„ ๋ผ์ธ์„ ๊ฑด์„คํ•˜๋Š” ํ”„๋กœ์ ํŠธ๋“ค์„ ์ง„ํ–‰ํ•˜๋ฉฐ ๋ฏธ๋ž˜๋ฅผ ์ค€๋น„ํ•˜๊ณ  ์žˆ๋‹ค. ์•ˆ์ „๊ณผ ๋ณด์•ˆ ์ธก๋ฉด์—์„œ๋Š” ํ•ญ๋งŒ์ด ์ฒจ๋‹จ ๊ธฐ์ˆ  ํ™œ์šฉ์˜ ๊ฒฝ์—ฐ์žฅ์ด ๋˜๊ณ  ์žˆ๋‹ค. ํ•ญ๊ณต ๋ฐ ํ•ด์ƒ, ์ˆ˜์ค‘ ๋“œ๋ก  ๋“ฑ ์ฒจ๋‹จ ์žฅ๋น„๋“ค์„ ํ™œ์šฉํ•˜์—ฌ ๋“œ๋„“์€ ํ•ญ๋งŒ์„ ๊ฐ€์ƒ ํ˜„์‹ค์„ธ๊ณ„์ธ ํŠธ์œˆ ํƒ€์›Œ์— ์ด์‹ํ•˜๊ณ  ์ธ๊ณต์ง€๋Šฅ์— ์˜ํ•œ ์‹ค์‹œ๊ฐ„ ๊ด€๋ฆฌ ๊ฐ๋…์ด ๊ฐ€๋Šฅํ•œ ์‹œ์Šคํ…œ์ด ๊ตฌ์ถ•๋˜๊ณ  ์žˆ๋‹ค. ํ•ญ๋งŒ ๋‚ด ํ•˜์—ญ์ž‘์—…์˜ ๋ฌด์ธํ™”๋Š” ์•ˆ์ „์‚ฌ๊ณ ์˜ ์œ„ํ—˜์„ ํš๊ธฐ์ ์œผ๋กœ ์ค„์ผ ์ˆ˜ ์žˆ์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์‚ฌ๊ฐ ์ง€๋Œ€๊ฐ€ ์—†๋Š” ๊ด€๋ฆฌ ๊ฐ๋…๋„ ๊ฐ€๋Šฅํ•ด์ ธ ํ•ญ๋งŒ ๋‚ด ์žฌ๋‚œ์‚ฌ๊ณ ์™€ ๋ฐ€์ž…๊ตญ ๋“ฑ์˜ ๋ฌธ์ œ๋ฅผ ๊ทผ๋ณธ์ ์œผ๋กœ ๋ณ€ํ™”์‹œํ‚ฌ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์„ ์ง„ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์—์„œ ์ถ”๊ตฌํ•˜๋Š” ๊ทผ๋ณธ์ ์ธ ๋ฐฉํ–ฅ์€ ์„ธ๊ณ„ ๋ฌผ๋ฅ˜์˜ ํ•ต์‹ฌ ํฌํ„ธ์„ ๊ตฌ์ถ•ํ•˜๋Š” ๊ฒƒ์ด๋ฉฐ ์ด๋ฅผ ์œ„ํ•ด ํ•ญ๋งŒ์˜ ์—ญํ• ์€ ๊ธฐ์กด์˜ ์ง€์—ญ์ ์ธ ํ•œ๊ณ„๋ฅผ ๋„˜์–ด ๊ธฐ๋Šฅ์ ์œผ๋กœ ๊ทธ๋ฆฌ๊ณ  ๋ฌผ๋ฆฌ์ ์œผ๋กœ ํŒฝ์ฐฝํ•˜๊ณ  ์žˆ๋‹ค. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ฒฝ์šฐ ์ผ์ฐ์ด ์ž๋™ํ™” ํ•ญ๋งŒ์˜ ๋ฐœ์ „์„ ์‹œ์ž‘ํ•œ ์œ ๋Ÿฝ ํ•ญ๋งŒ์€ ๋ฌผ๋ก  ์ธ๊ทผ ์ค‘๊ตญ๊ณผ ์‹ฑ๊ฐ€ํฌ๋ฅด์˜ ์ž๋™ํ™” ํ•ญ๋งŒ๊ณผ ๋น„๊ตํ•ด๋„ ๋’ค์ณ์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ์ด ํ˜„์‹ค์ด๋‹ค. ์ด๋ฅผ ๋งŒํšŒํ•˜๊ธฐ ์œ„ํ•ด ์ค‘์•™ ์ •๋ถ€ ์ฐจ์›์—์„œ ์Šค๋งˆํŠธ ํ•ด์ƒ๋ฌผ๋ฅ˜์ฒด๊ณ„ ๊ตฌ์ถ• ์ „๋žต์„ ์ˆ˜๋ฆฝํ•˜๊ณ  2030๋…„ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๋ณธ๊ฒฉ์ ์ธ ์šด์˜์„ ๊ณ„ํšํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ๋ณธ ๊ณ„ํš์€ ์ „๋ฐ˜์ ์ธ ๋ฌผ๋ฅ˜ ๊ธฐ๋Šฅ ์ค‘ ํ•˜์œ„ ์š”์†Œ๋กœ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์„ ์ธ์‹ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋Š” ์Šค๋งˆํŠธ ํ•ญ๋งŒ์„ ์ž๋™ํ™” ํ•ญ๋งŒ์ด๋ผ๋Š” ์ข์€ ์ธก๋ฉด์—์„œ๋งŒ ๋ฐ”๋ผ๋ณด๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ, ํ•ญ๋งŒ์˜ ๋ฏธ๋ž˜ ์ž ์žฌ๋ ฅ์— ๋Œ€ํ•œ ์„ ์ง„ ํ•ญ๋งŒ๋“ค์˜ ์ธ์‹๊ณผ๋Š” ํฐ ์ฐจ์ด๊ฐ€ ์žˆ๋‹ค๊ณ  ํ•˜๊ฒ ๋‹ค. ๋˜ํ•œ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๋ฐœ์ „ ๊ณผ์ •์—์„œ ๋ฏผ๊ฐ„ ๊ธฐ์—…๊ณผ ํ•ญ๋งŒ ์ดํ•ด๊ด€๊ณ„์ž๋“ค์ด ์ ๊ทน์ ์œผ๋กœ ์ฐธ์—ฌํ•˜๊ณ  ํ˜‘๋ ฅํ•˜์—ฌ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์˜ ๋ชจ์Šต์„ ๊ทธ๋ ค๊ฐ€๋Š” ์„ ์ง„ ํ•ญ๋งŒ๊ณผ๋Š” ๋‹ฌ๋ฆฌ ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ฒฝ์šฐ ์—ฌ์ „ํžˆ ์ •๋ถ€ ์ฃผ๋„ ๋ฐœ์ „ ๋ฐฉ์‹์„ ๊ณ ์ˆ˜ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ฐ€์žฅ ์ฃผ๋„์ ์ธ ์—ญํ• ์„ ํ•ด์•ผ ํ•  ํ•ญ๋งŒ ๊ณต์‚ฌ๋“ค์˜ ์—ญํ• ์ด ๋ฏธ๋ฏธํ•œ ๊ฒƒ์€ ํ•œ๊ณ„๋ผ๊ณ  ํ•˜๊ฒ ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ํ–ฅํ›„ ํƒ„์†Œ ์ค‘๋ฆฝ ์‚ฌํšŒ๋กœ์˜ ์ดํ–‰์˜๋ฌด ๋“ฑ ํ™˜๊ฒฝ์ ์ธ ๋ฌธ์ œ์™€ ์นœํ™˜๊ฒฝ ์—๋„ˆ์ง€๋กœ์˜ ์ „ํ™˜์ด ์ค‘์š”์‹œ๋˜๊ณ  ์žˆ๋Š” ์‹œ์ ์—์„œ ์ด์— ๋Œ€ํ•œ ๊ทผ๋ณธ์ ์ธ ์ „ํ™˜๊ณ„ํš์ด๋‚˜ ํ•ญ๋งŒ์˜ ์ƒˆ๋กœ์šด ์—ญํ• ์— ๋Œ€ํ•œ ๊ณ ๋ฏผ์ด ๋ถ€์กฑํ•œ ๊ฒƒ๋„ ๋น„๊ต ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๋„์ถœํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์œ ๋Ÿฝ์˜ ํ•ญ๋งŒ๋“ค๊ณผ๋Š” ๋‹ฌ๋ฆฌ ์ˆ˜์†Œ ๊ฒฝ์ œ๋กœ์˜ ์ดํ–‰์— ์žˆ์–ด ํ•ญ๋งŒ์˜ ํ•ต์‹ฌ์  ์—ญํ• ์ด ๋น ์ ธ ์žˆ๋‹ค๋Š” ๊ฒƒ์€ ์Šค๋งˆํŠธ ํ•ญ๋งŒ์— ๋Œ€ํ•œ ์ธ์‹ ๋ถ€์กฑ์—์„œ ๋น„๋กฏ๋œ ๊ฒƒ์œผ๋กœ ๋ณด์ด๋ฉฐ ์ด์— ๋Œ€ํ•œ ์ •์ฑ…์  ๊ฐœ์„ ์ด ํ•„์š”ํ•œ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค.This study examines the relationship between the concept of smart ports and port competitiveness, which have recently been in the spotlight, and attempts to derive implications for Korea's smart port development direction through various analysis of advanced smart ports. To this end, this research attempted to analyze the policies of Rotterdam Port in the Netherlands and Hamburg Port in Germany, which are most advanced in smart port development and development, using the analysis framework of four smart port evaluation measures established in A. Molavi et al. In terms of operation, advanced smart ports achieved complete automation of the entire loading and unloading process in the port, and not only this, but all processes in the port were pursued for unmanned and efficient use of the advanced technologies of the 4th Industrial Revolution. In terms of the environment, interest in eco-friendly ports is increasing. There is a consensus that ports should no longer be independent areas that exist separately from cities, but should establish reciprocal relationships that interact and develop with residents of neighboring cities. In terms of energy, smart ports are expected to become a key supply base for the future hydrogen society. Taking advantage of the functional advantages of combining marine logistics and land logistics, the core infrastructure of the hydrogen economy, such as hydrogen production, storage, and distribution, is built in ports and attempted to combine them with port functions. In terms of safety and security, ports are becoming a competition for the use of advanced technology. Using high-tech equipment such as aviation, sea, and underwater drones, a system that allows real-time management and supervision by artificial intelligence is being established by transplanting a wide port into a virtual reality twin tower. In the case of Korea, the reality is that it is lagging behind not only European ports that started the development of automated ports early but also automated ports in neighboring China and Singapore. To make up for this, the central government has established a "smart maritime logistics system construction strategy" and plans to operate smart ports in earnest in 2030. However, this plan recognizes smart ports as a sub-factor of the overall logistics function, which only looks at smart ports in the narrow aspect of automated ports, which is very different from advanced ports' perceptions of the future potential of ports. In addition, unlike advanced ports in which private companies and port stakeholders actively participate and cooperate in the development of smart ports, Korea still adheres to the government-led development method, and the role of port authorities to play the most leading role is insignificant. In addition, at a time when environmental problems such as the obligation to transition to a carbon-neutral society in the future and the transition to eco-friendly energy are becoming important, this comparative study was able to derive the lack of concern about the fundamental transition plan or the new role of ports. Unlike ports in Europe, the absence of a key role in the transition to a hydrogen economy seems to stem from a lack of awareness of smart ports, and policy improvements are needed.Chapter 1. Introduction ๏ผ‘ 1.1. Study Background ๏ผ‘ 1.2. Scope and Method of Study ๏ผ’ Chapter 2. Theoretical Discussions and Prior Study Reviews ๏ผ” 2.1. Theoretical discussion of smart ports ๏ผ” 2.1.1. Significance of Ports ๏ผ” 2.1.2. Development of Ports ๏ผ• 2.1.3. Prior Study of Smart Ports ๏ผ– 2.1.4. Smart Port Index (SPI) ๏ผ™ 2.2. Theoretical discussion of port competitiveness ๏ผ‘๏ผ‘ 2.2.1 The Concept of Port Competitiveness ๏ผ‘๏ผ‘ 2.2.2. A Prior Study on Port Competitiveness ๏ผ‘๏ผ“ 2.2.3. Port Competitiveness and Performance Evaluation ๏ผ‘๏ผ• 2.3. The relationship between smart ports and port competitiveness ๏ผ‘๏ผ— 2.3.1. Smart Port Components and Port Competitiveness ๏ผ‘๏ผ— 2.3.2. Trends in Smart Port Development ๏ผ’๏ผ“ 2.4. Results of previous study review ๏ผ’๏ผ— 3.1. Analysis Targets and Data ๏ผ’๏ผ˜ 3.2. Analytical Model ๏ผ’๏ผ™ Chapter 3. Case Analysis ๏ผ“๏ผ’ 3.1. Port of Rotterdam (Netherlands) ๏ผ“๏ผ’ 3.1.1. Background and Status of Smart Port Introduction ๏ผ“๏ผ’ 3.1.2. Operational Aspects of Smart Port ๏ผ“๏ผ” 3.1.3. Environmental Aspects of Smart Port ๏ผ“๏ผ— 3.1.4. Energy Aspects of Smart Port ๏ผ“๏ผ™ 3.1.5. Safety and Security Aspects of Smart Port ๏ผ”๏ผ‘ 3.1.6. Implications ๏ผ”๏ผ“ 3.2. Port of Hamburg (Germany) ๏ผ”๏ผ• 3.2.1. Background and Status of Smart Port Introduction ๏ผ”๏ผ• 3.2.2. Operational Aspects of Smart Port ๏ผ”๏ผ˜ 3.2.3. Environmental Aspects of Smart Port ๏ผ•๏ผ‘ 3.2.4. Energy Aspects of Smart Port ๏ผ•๏ผ“ 3.2.5. Safety and Security Aspects of Smart Port ๏ผ•๏ผ• 3.2.5. Implications ๏ผ•๏ผ– 3.3. Port of Busan (S.Korea) ๏ผ•๏ผ˜ 3.3.1. Background and Status of Smart Port Introduction ๏ผ•๏ผ˜ 3.3.2. Operational Aspects of Smart Port ๏ผ–๏ผ 3.3.3. Environmental Aspects of Smart Port ๏ผ–๏ผ’ 3.3.4. Energy Aspects of Smart Port ๏ผ–๏ผ“ 3.3.5. Safety and Security Aspects of Smart Port ๏ผ–๏ผ” Chapter 4. Conclusion ๏ผ–๏ผ– 4.1. Results of Research ๏ผ–๏ผ– 4.2. Policy Implications ๏ผ—๏ผ 4.3. Limitations of Research ๏ผ—๏ผ” Bibliography ๏ผ—๏ผ– Abstract in Korean ๏ผ˜๏ผ’์„
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