• 기술혁신학회지
• /
• 제19권4호
• /
• pp.822-847
• /
• 2016

미래 산업 유지를 위하여 세계적으로 지속가능한 에너지의 중요성이 부각되고 있다. 다양한 신재생 에너지 중 수소에너지는 청정에너지로서 각광받고 있다. 이에 본 연구는 수소에너지산업 인프라 구축시에 필요한 전략 수립을 위하여 SWOT/AHP 분석을 적용하였다. 우선 수소에너지 산업 인프라 구축시 요구되는 요인들을 추출하였고, SWOT matrix를 재구성하기 위하여 전문가의 의견을 조사하였다. 쌍대비교를 하여 개발된 요인들의 상대적 중요도를 알기 위하여 AHP 분석을 실시하였다. SWOT 분석과 AHP 분석을 적용하여 얻은 연구 결과를 기초로 하여 향후 수소에너지산업 인프라와 관련된 전략 계획의 수립 방안을 제시하였다.

• 한국건설관리학회:학술대회논문집
• /
• 한국건설관리학회 2004년도 제5회 정기학술발표대회 논문집
• /
• pp.404-407
• /
• 2004

본 연구에서는 국내의 CM 조기정착을 유도하고 CM 활용에 대한 성공적인 모델을 제시하기 위하여, 향후 지속적으로 성장할 것으로 판단되는 SOC민간투자사업의 CM 운영체계 개발의 필요성 및 여건을 분석하고 개발 방향을 제시하였다. 본 연구에서 제안한 개발의 방향은 크게 (1)SOC민간투자사업 CM업무 표준 프로세스 가이드 개발, (2)SOC민간투자사업 타당성분석 수행 표준 개발, (3)SOC민간투자사업의 단계별 $\cdot$ 기능별 리스크 Check List의 세 가지 이며, 이와 같은 개발을 통하여 추후 CM 제도의 활성화를 위한 모범사례의 제공 뿐 아니라, 국내 건설산업의 효율성제고 등의 효과를 기대할 수 있을 것으로 판단된다.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권10호
• /
• pp.249-257
• /
• 2021

Industrial agglomeration policy is a strategy that is expected to accelerate economic growth to transform an impoverished region into a prosperous one. However, industrial agglomeration also has the potential to exacerbate development inequality due to the concentration of economic development activities in certain areas. Therefore, this study aims to investigate what strategies are best to minimize the adverse effects of industrial agglomeration. This study uses econometric analysis with panel data covering 38 districts/cities in East Java during the 2011-2019 period. The results showed that the combination of industrial agglomeration policies coupled with accelerated sectoral growth, hard infrastructure development, and soft infrastructure provided the best policy outcome, improving regional inequality and accelerating economic growth in East Java. Based on the analysis, we find that East Java's economic growth characteristics are convergent but relatively long. Therefore, the East Java economic development policy during 2010-2019 should be reviewed due to the relatively long convergence period. Furthermore, this study also found that industrial agglomeration slows down the convergence and economic growth of East Java. In the future, the deployment of Industrial Development Centers (PPI) outside the existing eight districts/cities is needed to accelerate the spread of economic activity in East Java.

• Journal of Smart Tourism
• /
• 제2권2호
• /
• pp.21-32
• /
• 2022

This paper shows light on the concept of smart tourism destination as a future of tourism development, especially in the context of problems associated with developing countries. This study substantiates the case of smart tourism development in mountain destinations as an affordable and needed future of the contemporary era. This conceptual study is based on secondary literature on Smart Cities, Smart Tourism Destinations, and Tourism in Himachal Pradesh. The Indian state of Himachal Pradesh has been considered as a study area to acknowledge major tourism-related challenges, especially in mountain locations. Consequently, the dots are connected between existing challenges and solutions that smart tourism holds. It turns out that for the development of mountain tourism destinations such as Himachal Pradesh in the Indian Himalayas, investments in smart infrastructure are required. By developing smart infrastructure, a new USP can be made, a supportive environment for new local businesses, new employment opportunities, enhanced tourist experience and an overall raised standard of living for locals. Considering all factors, it leads to a highly competitive tourism destination. All tourism destinations located in the Himalayan mountains show somewhat the same tourism challenges as Himachal Pradesh, India. Therefore, this paper brightens the path of destination planners towards the development agenda of smart tourism destinations and shows how smart tourism infrastructure can be deployed for better management of tourism destinations.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권12호
• /
• pp.1205-1214
• /
• 2020

The poverty level in Buru Regency is still high, despite the relatively stable economic growth. For this reason, the purpose of this study was to (1) Identify the leading commodity in each district in Buru Regency; (2) Analyze the effect of road infrastructure and leading commodities on poverty. The findings show that the most sparsely populated district is Fena Leisela, with mangoes as the leading commodity. Pineapple, langsat, apple rose, cabbages, cashews, coffee, cashew, melon, and watermelon are the leading products in Air Buaya, Batabual, Waplau, Lolong Guba, Lilialy, Waelata, Namlea, Kaiely Bay, and Waeapo, respectively. Additionally, the results also indicate that road infrastructure and leading commodities have a significant effect on poverty alleviation in Buru Regency. It means that improving infrastructure and increasing leading commodities production reduce poverty in the region. Good road infrastructure can promote connectivity between regions so that it can accelerate and expand economic development. The provision of infrastructure that encourages connectivity will reduce transportation costs and logistics costs to increase product competitiveness and accelerate the economic movement. When the road infrastructure in Buru Regency improves and new roads are built, it can improve transportation access, it will reduce the living cost for the poor and increase income, and open up opportunities for the poor to benefit from economic growth.

• Nuclear Engineering and Technology
• /
• 제52권7호
• /
• pp.1436-1442
• /
• 2020

Nuclear infrastructure systems play an important role in national security. The functions and missions of nuclear infrastructure systems are vital to government, businesses, society and citizen's lives. It is crucial to design nuclear infrastructure for scalability, reliability and robustness. To do this, we can use machine learning, which is a state of the art technology used in various fields ranging from voice recognition, Internet of Things (IoT) device management and autonomous vehicles. In this paper, we propose to design and develop a machine learning algorithm to perform predictive maintenance of nuclear infrastructure. Support vector machine and logistic regression algorithms will be used to perform the prediction. These machine learning techniques have been used to explore and compare rare events that could occur in nuclear infrastructure. As per our literature review, support vector machines provide better performance metrics. In this paper, we have performed parameter optimization for both algorithms mentioned. Existing research has been done in conditions with a great volume of data, but this paper presents a novel approach to correlate nuclear infrastructure data samples where the density of probability is very low. This paper also identifies the respective motivations and distinguishes between benefits and drawbacks of the selected machine learning algorithms.

• 농촌계획
• /
• 제25권1호
• /
• pp.51-65
• /
• 2019

This study developed diagnostic system to understand the level of welfare cultural service and infrastructure in rural areas. The applicability was reviewed through the Delphi survey and the sample survey of 60 villages. The diagnostic indicators consist of three areas: the demand area, supply area, and delivery area. The demand area consists of 8 indicators, 25 indicators for welfare services and infrastructure (healthcare, social welfare) and 32 indicators for cultural services and infrastructure (culture, education, leisure sports). The service delivery area was divided into service supply area access and traffic accessibility (public transport use status and rural transport model status) by each indicator. A diagnostic system was applied to 60 villages. Services and infrastructure for rural welfare and culture were supplied more in the Si area than Gun area. The delivery area was easier to access the Gun area than Si area. In the case of traffic access, public transportation was more frequently used in the Si area than Gun area, and the rural transportation model was found to have a relatively large amount in the Gun area compared to Si area. The diagnosis system about services and infrastructure for rural welfare and culture will provide information necessary for establishment and decision making of regional development policy taking into account characteristics of rural areas in the future.

• Journal of Construction Engineering and Project Management
• /
• 제3권2호
• /
• pp.35-48
• /
• 2013

Weak competencies in urban local bodies (ULBs) for implementing public private partnership (PPP) projects has been recognized as a major hurdle in uptake of PPP model in India. In this context, a questionnaire survey was conducted to evaluate perception of urban PPP experts and ULB representatives on three aspects related to competency development, including, critical competencies for implementing urban PPP projects, approaches for competency development in ULBs and constraints faced by ULBs in development of competencies. The five critical competencies identified are project identification, project conceptualization, transaction design, PPP process management and contract management. The approach of training programs for municipal staff and elected representatives, and capacity building oriented technical assistance for implementing urban PPP projects have been preferred by survey respondents for competency development. The frequent transfer of municipal decision makers and low motivation among municipal staff have been identified as the most significant constraints for development of competencies.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2022년도 학술발표회
• /
• pp.211-211
• /
• 2022

The marketization reform from the open-door policy in 1978 was not only booming export-oriented industries with foreign investment but also expanding the role of private actors in the Chinese water sector. Private Sector Participation (PSP) has become an important element in developing urban infrastructure by providing better services with advanced facilities. The rapid development of PSP-driven urban water infrastructure in China has a positive impacted on Chinese economic development, particularly in coastal areas. PPPs in some coastal areas have successfully spread out over China since China applied the first Build-Operate-Transfer (BOT) mode in the water sector in the early 1990s. The market-oriented water and wastewater, Public-Private Partnership (PPP) mechanism in the initial period of China has been transformed into a state-dominated PPP mechanism. The development pattern of the water and wastewater PPPs in China has been divided in four stages: the first period from 1984 to 2002, the second period from 2003 to 2008, the third period from 2009 to 2014, and the last period after 2015. The study aims to investigate the successful process of water and wastewater PPPs in local areas through five socioeconomic elements: export-oriented economic strategy, urbanization, cheap land policy, infrastructure investment, and water issues and climate change. In addition, the study focuses on analyzing the extent to which the Chinese government re-asserted its control over the PPP mechanism by classifying five elements in three different development Phases from early 2000 to 2020. The Jiangsu Province in the estern coastal area has actively invited PPP projects in the water and wastewater sectors. The successful introduction and rapid growth of PPPs in the urban water infrastructure has made the province an attractive area for a foreign investor.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 1997년도 하계학술대회 논문집 F
• /
• pp.1985-1988
• /
• 1997

This paper comprises of details of the infrastructure issues of demonstration schemes for EVs worldwide. The aim of the paper is to highlight the different approaches being lused and to assess their effectiveness.