Vitamin E status of 20- to 59-year-old adults living in the Seoul metropolitan area of South Korea

The spatial mismatch between warehouse locations and urban freight demand mainly driven by logistics sprawl can have negative environmental impacts, due to the increase in average trucking distances. This study investigated the spatial dimension of warehouse rent determinants identifying the regional specifics of supply and demand of warehouse facilities and services. Based on the case of the Seoul Metropolitan Area in South Korea, spatial autoregressive regression (SAR) and mixed geographically weighted regression (MGWR) models were developed to explain the spatial stationary and non-stationary relationship between warehouse rent and the explanatory variables, including the transactional characteristics of the rental contracts, physical characteristics of the buildings, location factors, and various warehousing services. The MGWR results identified the distance to the nearest highway interchange, repackaging service, and built-in ramps as globally fixed variables and contract floor space, total building floor space, building age, and land price as locally varying variables. The results of this study allowed us to provide meaningful insights into the sustainable development of urban logistics facilities through a better understanding of the interaction between logistics activities, transportation infrastructure, and land use.

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Regional contributions to particulate matter concentration in the Seoul metropolitan area, South Korea: seasonal variation and sensitivity to meteorology and emissions inventory

Atmospheric Chemistry and Physics ◽

10.5194/acp-17-10315-2017 ◽

2017 ◽

Vol 17 (17) ◽

pp. 10315-10332 ◽

Cited By ~ 57

Author(s):

Hyun Cheol Kim ◽

Eunhye Kim ◽

Changhan Bae ◽

Jeong Hoon Cho ◽

Byeong-Uk Kim ◽

...

Keyword(s):

Particulate Matter ◽

Seasonal Variation ◽

Air Quality ◽

South Korea ◽

Metropolitan Area ◽

Policy Support ◽

Seoul Metropolitan Area ◽

Regional Air Quality ◽

Emissions Inventories ◽

The Impact

Abstract. The impact of regional emissions (e.g., domestic and international) on surface particulate matter (PM) concentrations in the Seoul metropolitan area (SMA), South Korea, and its sensitivities to meteorology and emissions inventories are quantitatively estimated for 2014 using regional air quality modeling systems. Located on the downwind side of strong sources of anthropogenic emissions, South Korea bears the full impact of the regional transport of pollutants and their precursors. However, the impact of foreign emissions sources has not yet been fully documented. We utilized two regional air quality simulation systems: (1) a Weather Research and Forecasting and Community Multi-Scale Air Quality (CMAQ) system and (2) a United Kingdom Met Office Unified Model and CMAQ system. The following combinations of emissions inventories are used: the Intercontinental Chemical Transport Experiment-Phase B, the Inter-comparison Study for Asia 2010, and the National Institute of Environment Research Clean Air Policy Support System. Partial contributions of domestic and foreign emissions are estimated using a brute force approach, adjusting South Korean emissions to 50 %. Results show that foreign emissions contributed ∼  60 % of SMA surface PM concentration in 2014. Estimated contributions display clear seasonal variation, with foreign emissions having a higher impact during the cold season (fall to spring), reaching ∼  70 % in March, and making lower contributions in the summer, ∼  45 % in September. We also found that simulated surface PM concentration is sensitive to meteorology, but estimated contributions are mostly consistent. Regional contributions are also found to be sensitive to the choice of emissions inventories.

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The willingness to pay for removing the microplastics in the ocean – The case of Seoul metropolitan area, South Korea

Marine Policy ◽

10.1016/j.marpol.2018.03.015 ◽

2018 ◽

Vol 93 ◽

pp. 93-100 ◽

Cited By ~ 5

Author(s):

Eun Chul Choi ◽

Joo Suk Lee

Keyword(s):

South Korea ◽

Willingness To Pay ◽

Metropolitan Area ◽

Seoul Metropolitan Area

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Six Major Historical Earthquakes in the Seoul Metropolitan Area during the Joseon Dynasty (1392–1910)

Bulletin of the Seismological Society of America ◽

10.1785/0120200004 ◽

2020 ◽

Vol 110 (6) ◽

pp. 3037-3049 ◽

Cited By ~ 1

Author(s):

Seongjun Park ◽

Inho Baek ◽

Tae-Kyung Hong

Keyword(s):

South Korea ◽

Seismic Hazard ◽

Metropolitan Area ◽

Joint Inversion ◽

Historical Earthquakes ◽

Seismic Damage ◽

Inversion Method ◽

Data Sets ◽

Seoul Metropolitan Area ◽

Joseon Dynasty

ABSTRACT Earthquake records in the historical literature provide valuable information on the seismic hazard potentials for long recurrence times. The Seoul metropolitan area is the center of the economy and infrastructure in South Korea. Six major earthquakes that occurred around the Seoul metropolitan area during the Joseon dynasty in 1392–1910 are analyzed using a probabilistic joint inversion method based on seismic damage records and earthquake-felt reports. The inversion yields sets of event locations and magnitudes with probabilities. The joint inversion method is validated with synthetic and instrumentally observed data sets. The historical earthquakes are found to be located around the Seoul metropolitan area. The magnitudes of the earthquakes range from ML 5.3 to 6.8 at the peak probabilistic locations. These historical earthquakes suggest considerable seismic hazard potentials in the Seoul metropolitan area.

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Integration of InSAR Time-Series Data and GIS to Assess Land Subsidence along Subway Lines in the Seoul Metropolitan Area, South Korea

Remote Sensing ◽

10.3390/rs12213505 ◽

2020 ◽

Vol 12 (21) ◽

pp. 3505

Author(s):

Muhammad Fulki Fadhillah ◽

Arief Rizqiyanto Achmad ◽

Chang-Wook Lee

Keyword(s):

Time Series ◽

South Korea ◽

Metropolitan Area ◽

Land Subsidence ◽

System Analysis ◽

Time Series Data ◽

Series Data ◽

Seoul Metropolitan Area ◽

Persistent Scatterers ◽

Multiclass Classifier

The aims of this research were to map and analyze the risk of land subsidence in the Seoul Metropolitan Area, South Korea using satellite interferometric synthetic aperture radar (InSAR) time-series data, and three ensemble machine-learning models, Bagging, LogitBoost, and Multiclass Classifier. Of the types of infrastructure present in the Seoul Metropolitan Area, subway lines may be vulnerable to land subsidence. In this study, we analyzed Persistent Scatterer InSAR time-series data using the Stanford Method for Persistent Scatterers (StaMPS) algorithm to generate a deformation time-series map. Subsidence occurred at four locations, with a deformation rate that ranged from 6–12 mm/year. Subsidence inventory maps were prepared using deformation time-series data from Sentinel-1. Additionally, 10 potential subsidence-related factors were selected and subjected to Geographic Information System analysis. The relationship between each factor and subsidence occurrence was analyzed by using the frequency ratio. Land subsidence susceptibility maps were generated using Bagging, Multiclass Classifier, and LogitBoost models, and map validation was carried out using the area under the curve (AUC) method. Of the three models, Bagging produced the largest AUC (0.883), with LogitBoost and Multiclass Classifier producing AUCs of 0.871 and 0.856, respectively.

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Effects of Relaxing the Urban Growth Management Policy: Greenbelt Policy of Seoul Metropolitan Area, South Korea

Journal of Planning Education and Research ◽

10.1177/0739456x17739110 ◽

2017 ◽

Vol 39 (3) ◽

pp. 300-314 ◽

Cited By ~ 5

Author(s):

Albert T. Han

Keyword(s):

South Korea ◽

Least Squares ◽

Metropolitan Area ◽

Growth Management ◽

Generalized Least Squares ◽

Ordinary Least Squares ◽

Physical Growth ◽

Management Policy ◽

Seoul Metropolitan Area ◽

Urban Growth Management

This study analyzes the effects of relaxing the greenbelt in the Seoul Metropolitan Area of South Korea. Ordinary least squares and generalized least squares regressions were employed to measure the policy’s effect on four sprawl measurement criteria: physical growth containment, land and housing values, community service provision cost, and commuting cost. Relaxing the greenbelt guided new development inside the greenbelt and decreased the percentage change in property tax and land price relative to the urban core throughout the region. The relaxation decreased fiscal burden in areas beyond the greenbelt; however, commuting data analyses showed that the commuting costs remained high.

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