• The Journal of Sustainable Design and Educational Environment Research
• /
• v.18 no.1
• /
• pp.27-37
• /
• 2019

This study investigated and analyzed the rise and fall trend of enrolled students during the recent 30 years with the subject of 607 elementary schools in 11 Education Support Centers (25 Gu-districts) in Seoul to provide the basic data related to establishing the school accommodation plan of the Seoul Education Office. In particular, the study focuses on the 53 small schools in Seoul and examines whether a correlation exists between the 8 factors of the school accommodation plan and the increasing and decreasing of enrolled student numbers. First, 'school establishment policy' should not be a short-term therapy but a long-term and predictable sustainable policy. Second, among the eight factors, there seems to be a very high correlation between the 'aged low-rise house districts' and 'spatially isolated areas'. Third, 'close-packed apartment complexes' and 'rental apartment complexes' are also highly correlated. Fourth, the planning factors such as 'joint school districts, the reconstruction of apartment complexes and the connection to commercial districts' seem to be correlated to some degree. Therefore, further studies are needed to overcome these problems.

• The Journal of Industrial Distribution & Business
• /
• v.14 no.9
• /
• pp.13-19
• /
• 2023

Purpose: Rural tourism, as a green and sustainable new development method, has become a new economic growth point in China's rural revitalization. The current research on rural tourism has not formed a complete and mature theoretical system, especially the study of tourist satisfaction. This paper is based on the perspective of tourist satisfaction and takes rural tourism in southern Jiangsu, China as the research object. Starting from the current situation of rural tourism development in southern Jiangsu, it elaborates on the current situation of rural tourism development in southern Jiangsu. Research design, data and methodology: Through literature analysis, it is concluded that the factors that affect tourist satisfaction are divided into four major aspects: personal factors, perceived effect factors, destination experience factors, and social factors. Design a survey questionnaire from four aspects: diversity, safety, convenience, agreeableness, and draw conclusions through data analysis. Results: From the four dimensions of the survey, tourists pay more attention to the diversity, agreeableness, and convenience of rural tourism products. This requires increasing the development of tourism products and improving the richness and diversity of rural tourism products. Conclusions: Therefore, optimization measures such as continuously implementing local rural cultural construction, establishing brand effects, and increasing policy support have been proposed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.5
• /
• pp.1414-1430
• /
• 2022

Due to the Internet of Things popularity, many agricultural data are collected by sensors automatically. The abundance of agricultural data makes precise prediction of rice yield possible. Because the climate factors have an essential effect on the rice yield, we considered the climate factors in the prediction model. Accordingly, this paper proposes a machine learning model for rice yield prediction in Taiwan, including the genetic algorithm and support vector regression model. The dataset of this study includes the meteorological data from the Central Weather Bureau and rice yield of Taiwan from 2003 to 2019. The experimental results show the performance of the proposed model is nearly 30% better than MARS, RF, ANN, and SVR models. The most important climate factors affecting the rice yield are the total sunshine hours, the number of rainfall days, and the temperature.The proposed model also offers three advantages: (a) the proposed model can be used in different geographical regions with high prediction accuracies; (b) the proposed model has a high explanatory ability because it could select the important climate factors which affect rice yield; (c) the proposed model is more suitable for predicting rice yield because it provides higher reliability and stability for predicting. The proposed model can assist the government in making sustainable agricultural policies.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.48 no.2
• /
• pp.367-381
• /
• 2024

The sharing economy (SE) describes an economic system in which consumers share a product or service via collaborative consumption. Reasonably, the SE receives much attention in the fashion industry as a sustainable form of consumption. However, a systematic review of the antecedents and outcomes of consumer participation in SE is limited by researchers' and practitioners' hindered understanding of what consumers expect and gain from the SE. This study offers a systematic review of the SE research conducted from January 2016 to July 2021 and proposes a conceptual model. In terms of antecedents, three factors, composed of nine categories and 153 variables, were identified: 1) consumer factors (80 variables), 2) platform/product factors (69 variables), and 3) environmental factors (4 variables). The outcomes included 14 variables divided into two categories: 1) positive outcomes (8 variables) and 2) negative outcomes (6 variables). The results provide recommendations for future research on applying the SE to the fashion sector. First, to more thoroughly investigating antecedents of consumer participation in fashion sharing, the research must focus on barriers and environmental factors, in addition to demographic and psychological variables. Secondly, research on the outcomes of participating in fashion sharing, including economic and social benefits, is needed.

• Journal of Forest and Environmental Science
• /
• v.40 no.3
• /
• pp.180-187
• /
• 2024

Land utilisation for various production practices in rural communities in Nigeria is marked with copious challenges and the management has become unsustainable among the local population. Therefore, the study was conducted to analyse factors influencing land use typologies, LUT among farming households in Akinyele Municipality of Oyo State, Nigeria. The employed a 3-stage sampling procedure for selection of 50 respondents from the study area. Information on demographic characteristics of the respondents, typologies of land use and factors impacting was collected with a structured questionnaire. The analyses of data collected was carried out was with frequencies, percentages and logit regression. The study showed majority (78.0%) were male, aged between 40 and 49 years, married (86.0%) and had secondary education (56.0%). The majority (78.0%) had household size ranging from 4-6 members, engaged in farming (80.0%). Furthermore, the result revealed that 94.0% of respondents conserve existing trees on their farmland, and about 56.0% of them were practicing agroforestry. The major factors affecting land use typologies were outcomes of climate change. The determining factors influencing LUT among farming households were occupation (β=1.829^*), irregular rainfall (β=1.436^*), depleted fruiting (β=1.438^*), poor weather condition/drought (β=1.020^*), and farmers' indigene (β=3.247^*) at α_0.05. The study recommends strengthening of land management policies and stakeholders' engagement in decision making as regards policies actualization to make land use typologies noticeable, effective and pronounce among farming households.

• Proceedings of the Korean Institute of Landscape Architecture Conference
• /
• 1999.03a
• /
• pp.50-51
• /
• 1999

• Journal of Navigation and Port Research
• /
• v.40 no.6
• /
• pp.413-420
• /
• 2016

Seaports are economically significant infrastructures in terms of dealing with more than 90% of the cargo volume in Korea's international trade. Furthermore, investment costs for constructing ports and the impacts of port industry on national competitiveness lead to the necessity for sustainable port operation. However, the earlier studies dealing with competitiveness and sustainability of the port sector focused on its logistical functions related to port size, operational efficiency, etc. Port competitiveness that considers local community and ecological values as well as the expectations and demands of port users is becoming an important issue in order for ports to cope with volatile external environments while maintaining competitiveness. Therefore, it is necessary to identify port performance indicators and measure their performance in terms of the environmental and social perspectives, as well as the economic perspectives, in order to sustain port development and operations. This paper presents findings from case analyses of SuPorts and PPRISM projects that assist European Union (EU) ports to secure sustainable competitiveness while respecting economic, environmental and social interests between ports and local communities. These projects create port performance indicators with balanced views including not only economic value but also environmental and social values. They measure port performance so port operators can implement these sustainable port practices. This study aims to find the critical factors for sustainable port practices by conducting case analyses of SuPorts and PPRISM projects.

• Journal of the Korean association of regional geographers
• /
• v.22 no.3
• /
• pp.483-498
• /
• 2016

This study investigated the conceptualization and application of new concept of regional resilience with case study in Korea in order to promote more sustainable regional development strategies, while problematizing dominant regional competitiveness concept in the current regional development circle under the condition of stagnant growth and ever-existing crisis in these days. Through literature review, this paper found out that regional resilience is a useful concept both to understand dramatic regional changes and to promote new regional development strategies. Furthermore, the study formulated basic research topics and issues for regional resilience through reviewing existing research outcomes on the measurement and factors of regional resilience. Through case study of two macro city-regions in Korea, this study also found out that regional resilience patterns and processes are differentiated according to the place and its scale and that both regional industrial structure formed in a path-dependent way and regional competitive characteristics are all significant to understand the regional resilience patterns and processes.

• Korean Chemical Engineering Research
• /
• v.56 no.4
• /
• pp.453-460
• /
• 2018

Owing to rising oil prices and anthropogenic global warming, focused attempts are being made toward production of industrially important compounds by using renewable biomass. In this context, algal biomass as third-generation biomass is important because it doesn't compatible with food resource, has high yield, and helps abate greenhouse gases. Here, we investigate whether Undaria has the highest sugar content, which would make it the most suitable biomass for lactic acid production among the four algal biomasses tested. For effective pretreatment of Undaria, the response surface methodology was used. The amount of solid loaded and catalyst concentration were related to the extraction rate of total sugar. Lactic acid was produced by pretreatment of Undaria by using four Lactobacilli, and L. alimentarius and L. brevis were found to be suitable for lactic acid production.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.3 no.2
• /
• pp.37-47
• /
• 2000

Since 1995, agropolitan cities have been created, in order to pursue the balanced development between urban cities and its surrounding rural counties. However, the inequality of regional level that was caused by indiscreet development has become the ever-serious problems recently. Therefore, this study aims to analyze regional characteristics and patterns for setting up the sustainable spatial planning. Firstly, the regional characteristics were summarized by five factors; development-oriented factor, agricultural factor, living environmental factor, rice growing, fruit gardening factor. The regional patterns were classified with five patterns using cluster analysis; orchard farming, farming of medium and small size, small stagnation, under urbanization, mixed urban-rural properties, and industry of southeastern seashore. Accuracy of the results by discrimination analysis showed that pattern II, V, and VI were confidence level of 100%, but the others had nearly 90% confidence level.