The Implementation of the Korean Green Growth Strategy in Urban Areas

Kamal-Chaoui, Lamia; Grazi, Fabio; Joo, Jongwan; Plouin, Marissa

doi:10.1787/5kg8bf4l4lvg-en

Cited by 9 publications

(2 citation statements)

References 23 publications

(7 reference statements)

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“…UHI significantly affects disease-related heat stress living conditions. In addition, Seoul is a metropolitan area with the highest population density among OECD member countries the elderly population accounts for 9.3% of the total population [28]. Therefore, the number of people vulnerable to heat is high and predicted to increase as a result of a continued increase in the elderly population ratio and urbanization.…”

Section: Study Areamentioning

confidence: 99%

Estimation of Mean Radiant Temperature in Urban Canyons Using Google Street View: A Case Study on Seoul

et al. 2022

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Extreme heat exposure has severe negative impacts on humans, and the issue is exacerbated by climate change. Estimating spatial heat stress such as mean radiant temperature (MRT) is currently difficult to apply at city scale. This study constructed a method for estimating the MRT of street canyons using Google Street View (GSV) images and investigated its large-scale spatial patterns at street level. We used image segmentation using deep learning to calculate the view factor (VF) and project panorama into fisheye images. We calculated sun paths to estimate MRT using panorama images from Google Street View. This paper shows that regression analysis can be used to validate between estimated short-wave, long-wave radiation and the measurement data at seven field measurements in the clear-sky (0.97 and 0.77, respectively). Additionally, we compared the calculated MRT and land surface temperature (LST) from Landsat 8 on a city scale. As a result of investigating spatial patterns of MRT in Seoul, South Korea, we found that a high MRT of street canyons (>59.4 °C) is mainly distributed in open space areas and compact low-rise density buildings where the sky view factor is 0.6–1.0 and the building view factor (BVF) is 0.35–0.5, or west-east oriented street canyons with an SVF of 0.3–0.55. However, high-density buildings (BVF: 0.4–0.6) or high-density tree areas (Tree View Factor, TVF: 0.6–0.99) showed low MRT (<47.6). The mapped MRT results had a similar spatial distribution to the LST; however, the MRT was lower than the LST in low tree density or low-rise high-density building areas. The method proposed in this study is suitable for a complex urban environment consisting of buildings, trees, and streets. This will help decision makers understand spatial patterns of heat stress at the street level.

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Section: Study Areamentioning

confidence: 99%

Estimation of Mean Radiant Temperature in Urban Canyons Using Google Street View: A Case Study on Seoul

et al. 2022

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“…South Korea also contributes to global GHG emissions and so has agreed to the reduction efforts. Driven by increasing energy consumptions, South Korea's total GHG emissions increased from 38,952 to 182,065 tonnes of oil equivalent (TOE) (an increase of 367%) between 1980 and 2009 [3,4]. Accordingly, it ranked seventh in the global amount of carbon dioxide emissions and 12th for the total amount of GHG emissions [5].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis of Consumer Preferences of Windows Set in South Korea: The Role of Energy Efficiency Levels

Maeng

Jung²,

Koo

2019

Energies

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The building sector is considered to be important for Korean energy issues as it accounts for approximately 20% of Korea’s final energy consumption. As one of Korea’s passive strategies in its emission reduction plan is reducing energy consumption through improvements in energy efficiency because the energy loss mostly occurs from window sets, this study aims to examine the preferences and role of the energy efficiency level of window sets in South Korea. Given that the lifespan of a building exceeds 20 years, a building’s energy efficiency significantly impacts accumulated energy savings. However, window sets affect not only energy efficiency, but also the interior appearance of the building; therefore, it is important to understand consumer preferences and to examine their effect on building energy reduction accordingly. Using a mixed logit model, this study analyzes window set preferences and energy savings. As a result, this study determines that consumers consider the energy efficiency level to be the second most important factor in determining window preference, following the cost of the window. In addition, this study found that the marginal willingness to pay for efficiency level 2 window sets compared to level 3 window sets is USD 1256. For level 1 window sets, this figure increases to USD 3140. Further, a scenario analysis is conducted to analyze the government incentive program’s effectiveness in encouraging consumers to purchasing higher energy efficiency more efficient products, and thus in promoting the eco-friendly consumption of in households. Taking into consideration of households’ willingness to pay and cost saving amount for using energy efficient window sets, the optimal value of government incentives of is found to be approximately USD 700 is found to be optimal.

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The Korean National Drive for Green and Smart Urbanisation

Jeong

2020

Developing National Urban Policies

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The Implementation of the Korean Green Growth Strategy in Urban Areas

Cited by 9 publications

References 23 publications

Estimation of Mean Radiant Temperature in Urban Canyons Using Google Street View: A Case Study on Seoul

Estimation of Mean Radiant Temperature in Urban Canyons Using Google Street View: A Case Study on Seoul

Quantitative Analysis of Consumer Preferences of Windows Set in South Korea: The Role of Energy Efficiency Levels

The Korean National Drive for Green and Smart Urbanisation

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