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This article aims to identify occupations at risk of climate change, and explore their spatial distribution by investigating their spatial concentration and cluster patterns in Korea. In order to identify professions vulnerable to climate change, we used three criteria: (1) exposure to the risks of job activities; (2) sensitivity to work environments; and (3) adaptive capacities based on the socioeconomic conditions of a person’s occupation. We identified 26 vocations as vulnerable, which corresponds to 16.5% of the total number of careers. Then, we used exploratory spatial data analysis (ESDA) techniques to examine the spatial distribution of jobs at risk of climate change effects. Endangered occupations show the extremely uneven spatial distributions across regions, indicating that there is a wide range of values for the proportion of endangered occupations across regions. The regions with high proportions of professions in jeopardy show clear spatial clustering based on the large geographic belt from the southwest to the northeast. Our results suggest that policymakers should consider the specific geographies of vulnerable occupations. The current work provides helpful hints on regional policy coordination to promote a virtuous circle of sustainable regional development.

This study examines the relationship between air temperature and urban environment indices, mainly focusing on sky view factor (SVF) in Seoul, Korea. We use air temperature data observed from 295 automatic weather stations (AWS) during the day and night in Seoul. We conduct a spatial regression analysis to capture the effect of spatial autocorrelation in our data and identify changes in the effects of SVF on air temperature, while conducting the regression model for each dataset according to the floor area ratio (FAR). The findings of our study indicate that SVF negatively affects air temperature during both day and night when other effects are controlled through spatial regression models. Moreover, we address the environmental indices associated with day-time and night-time air temperatures and identify the changing effects of SVF on air temperature according to the areal floor area ratio of the analysis datasets. This study contributes to the literature on the relationship between SVF and air temperature in high-density cities and suggests policy implications for improving urban thermal environments with regard to urban design and planning.

After the 2002 FIFA World Cup in South Korea and Japan, the local governments of South Korea were left in charge of several large-scale soccer stadiums. Although these governments have made significant efforts toward creating profits from the stadiums, it is proving to be too difficult for several administrations to cover their full operational, maintenance, and conservation costs. In order to overcome this problem, one of the governments, Seogwipo City, which owns Jeju World Cup Stadium (JWCS), is attempting to provide an independent renewable electricity generation system for the operation of the stadium. The current study therefore examines potential configurations of an independent renewable electricity generation system for JWCS, using HOMER software. The simulation results yield three optimal system configurations with a renewable fraction of 1.00 and relatively low values for the cost of energy ($0.405, $0.546, and $0.692 per kWh). Through the examination of these three possible optimal configurations, the implications and limitations of the current study are presented.

This study investigated lifecycle CO2 (LCCO2) emission reductions through application of double-window casement systems (DWCS) in residential units in Korea, compared with conventional single windows (SWs). The DWCS is a double window system that is energy-efficient, reducing energy consumption during operation. However, this system incorporates increased embodied CO2 emissions. We evaluated LCCO2 reductions associated with use of the DWCS by calculating CO2 emissions during space conditioning as well as the embodied CO2 emissions of the DWCS. The results showed that use of DWCS in a residential unit during the cooling season had 26.2 and 27.4 t CO2 fewer emissions than SWs in the natural ventilation and minimum ventilation modes, respectively. Although implementation of DWCS is expected to substantially reduce LCCO2 emissions, the large embodied CO2 emissions of the aluminum frame reduce the benefits of the DWCS.

Ecological river restoration projects aim to revitalize healthy and self-sustaining river systems that can provide irreplaceable benefits to human society. Cheonggyecheon and Anyangcheon are two sites of recent river restoration projects in Korea. To assess the economic value of two rivers, count data was collected to conduct the individual travel cost method (ITCM) in this study. Five statistical models such as the Poisson, the negative binomial, the zero-truncated Poisson, the negative binomial, and negative binomial model adjusted for both truncation and endogenous stratification were used in the analysis due to the nature of count data. Empirical results showed that regressors were statistically significant and corresponded to conventional consumer theory. Since collected count data indicated over-dispersion and endogenous stratification, the adjusted Negative Binomial was selected as an optimal model to analyze the recreational value of Cheonggyecheon and Anyangcheon. Estimates of the annual economic value of two river restoration projects were approximately US $170.1 million and US $50.5 million, respectively.

The South Korean government has long been attempting to reduce the nation’s heavy reliance on fossil fuels and increase environmental safety by developing and installing renewable power generation infrastructures and implementing policies for promoting the green growth of Korea’s energy industry. This study focuses on the use of independent renewable power generation systems in the more than 3000 officially affirmed islands off Korea’s coast and proposes a simulated solution to the electricity load demand on Ulleungdo Island that incorporates several energy sources (including solar, batteries, and wind) as well as one hydro-electric and two diesel generators. Recommendations based on the simulation results and the limitations of the study are discussed.