• Journal of the Korean association of regional geographers
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• v.15 no.2
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• pp.226-249
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• 2009

This study aims to establish the regional mix types and models of place marketing strategy. For this purpose, eighty seven cases of place marketing in Gwangju-Jeonnam region during the last two years are reviewed, Twenty seven types of regional mix are abstracted according to space, theme, subject, target, and factor. There are five spatial types(urban mix, zoning mix, zoning urban mix, package urban mix, zoning mix, and space package mix), eight thematic types(culture mix, history mix, tourism mix, industry mix, administration mix, environment mix, transportation mix, and PR mix), five subject types(central government led public mix, local government led public mix, enterprise led private mix, civil society led private mix, and private public partnership mix), four target types(resident mix, tourist mix, enterprise mix, and common mix), and five factor types (organization mix, image mix, point mix, target mix, and channel mix). In the basis of these types, the twenty two primary model of regional mix, and the one hundred twenty six secondary model of regional mix are established.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.73-91
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• 2006

This study was conducted for market segmentation of cruise tourist according to launching the "T" in Busan. Benefit segmentation was used to identify attributes of cruise services; importance of ship's physical appearance and importance of service and activities. 24 attributes were distilled to 5 factors: 'Facility & Service', 'Atmospherics of cruise ship', 'Escape', 'Choice', 'Safety'. A K-means cluster analysis identified three clustered segments for five importance factors in which high loyalty customers were found to be the most important segment. Based on the findings, three distinct groups were formed: 'Moderators', 'High Loyalty', 'Spurious'. The most important factors by high loyalty groups were identified 'Safety', 'Facility & Service', 'Atmospherics of cruise ship', 'Choice', 'Escape' in order. The results of the study showed statistically significant differences among the three groups in terms of demographic and behavioral variables. Especially, the target market should be considered by 'High Loyalty' group and 'Moderators' group in order. Positioning strategies and marketing mix strategies for effectively targeting the segments were discussed.

• New & Renewable Energy
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• v.20 no.1
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• pp.88-94
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• 2024

This study explored the potential and implementation of renewable energy sources in Sri Lanka, focusing on the theoretical potential of solar and wind energy to develop self-reliant energy models. Using advanced climate data from the European Centre for Medium-Range Weather Forecasts and Global Solar/Wind Atlas provided by the World Bank, we assessed the renewable energy potential across Sri Lanka. This study proposes off-grid and minigrid systems as viable solutions for addressing energy poverty in rural regions. Rural villages were classified based on solar and wind resources, via which we proposed four distinct energy self-reliance models: Renewable-Dominant, Solar-Dominant, Wind-Dominant, and Diesel-Dominant. This study evaluates the economic viability of these models considering Sri Lanka's current energy market and technological environment. The outcomes highlight the necessity for employing diversified energy strategies to enhance the efficiency of the national power supply system and maximize the utilization of renewable resources, contributing to Sri Lanka's sustainable development and energy security.

• Land and Housing Review
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• v.7 no.2
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• pp.121-129
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• 2016

This research is about local impacts of concentrated social disadvantage in a specific urban district, and is discussing these issues by focusing on previous research from Western countries. Further, by analyzing the results of a field survey conducted in this district, I am clarifying the reality of socially disadvantaged areas and the needs of their residents, while seeking results supporting a theory of inclusive area revitalization. With this survey I could verify that the aging of local residents and the concentration of low-income population is increasing, and in this district an unbalanced community mix is becoming apparent. Currently, insecurities concerning economic and health aspects are the most serious issues. In response to the residents' needs counseling on housing issues and social services, that become necessary with advancing age, like health services or housing support, are increasingly required. Since today laws for antidiscrimination (namely, Dowa) measures are outdated it is necessary to establish a community based approach or a neighborhood based governance model, in addition to the existing public support, as response to these local challenges and needs.

• Proceedings of the KIEE Conference
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• 2006.11a
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• pp.180-182
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• 2006

2004년7월1일부터 시행이 시작되어 현재 1곳의 시범지역을 운영하고 있는 구역전기사업은 소형열 병합발전을 기반 기술로 활용하고 있다. 국내 구역전기 사업의 잠재량 예측을 위해 본 연구에서는 인구증가율과 인구증가율에 따른 주택건축수요를 기된 데이터로 사용하였다. 잠재량예측을 위해 프로세스는 시스템다이나 믹스 모델인 VENSIM을 사용하였다. VENSIM에서 예측된 주택수요에 따라 택지 잠재량을 계산하였으며 계산된 택지 잠재량 중 구역전기사업을 수행했을 때 사업자입장에서 사업성 판단 기준에 따라 구역전기사업의 잠재량을 예측하였다.

• The Korean Journal of Community Living Science
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• v.27 no.2
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• pp.281-294
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• 2016

This study was conducted to promote consumer interest in Geothermal Heat Pump (Ground Source Heat Pump, GSHP) and district heating and cooling (District Heating & Cooling, DHC) systems, which are competing with each other in the heating and cooling field. Considering not only the required cost data of energy itself, but also external influence factors, the optimal mix ratio of these two energy systems was studied as follows. The quantitative data of the two energy systems was entered into a database and the non-quantitative factors of external influence were applied in the form of coefficients. Considering both of these factors, the optimal mix ratio of GSHP and DHC systems and minimum Life Cycle Cost (LCC) were obtained using an algorithm model design. The Optimal Energy Mix of GSHP & DHC (OEMGD) algorithm was developed using a software program (Octave 4.0). The numerical result was able to reflect the variety of external influence factors through the OEMGD algorithm. The OEMGD model found that the DHC system is more economical than the GSHP system and was able to represent the optimal energy mix ratio and LCC of mixed energy systems according to changes in the external influences. The OEMGD algorithm could be of help to improve the consumers' experience and rationalize their energy usage.