• Journal of the Economic Geographical Society of Korea
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• v.14 no.3
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• pp.437-451
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• 2011

The purpose of this study is to identify the factors that influence commuting patterns of Seoul residents after the construction of new towns. To find the determinants of commuting time for residents with jobs in Seoul, a multiple regression analysis is performed using household survey data. Overall, the findings present a plausible picture of the spatial configuration in Seoul, where younger residents with growing families move out to the suburbs to become owners of apartment homes, and drive or use mass transportation to get to work. As they get older and wealthier, other things being equal, they gravitate towards the city centre in order to reduce the time wasted on commuting. While their occupations appear to play little role, it seems that the entrapment hypothesis on female workers is supported as well. In addition, excess commuting is still prevalent due to jobs-housing mismatch in Seoul, although it is less severe than in the past. Based on these results, planners should devise better strategies to solve the inefficient commuting problem.

• Land and Housing Review
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• v.15 no.2
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• pp.73-87
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• 2024

To evaluate the efficiency of commuting patterns, various commuting indicators such as excess commute and commuting potential utilized have been developed and used. It is crucial to calculate these indicators reasonably to reveal the differences in commuting patterns among metropolitan areas and to consider these in the process of formulating commuting policies. However, commuting indicators are generally calculated at the administrative district level, and thus, they are not free from the problem of the modifiable areal unit problem (MAUP). This issue can undermine the rationality of comparing commuting efficiency between metropolitan areas, making it necessary to handle the calculation of commuting indicators carefully. Therefore, this study utilises Monte Carlo Simulation to calculate optimal, actual, and maximum commuting distances, and thereby presents the excess commute and the commuting potential utilized. To apply Monte Carlo Simulation to the context of South Korea, a constrained Monte Carlo Simulation is conducted, where residential and workplace locations used in the simulation are selected based on the actual locations of buildings. The analysis is conducted on 13 metropolitan areas with established metropolitan plans using the 2016 Household Travel Survey data. The commuting indicators calculated through the simulation showed minimal differences compared to the results obtained through conventional methods. The comparison of commuting efficiency among metropolitan areas revealed that even if the degree of spafial balance between residential and workplace locations is similar, the actual commuting patterns can differ significantly. It is suggested that further research considering characteristics such as the area of each metropolitan region will be necessary in the future.

• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.228-235
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• 2007

• Journal of the Korean Geographical Society
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• v.49 no.3
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• pp.390-404
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• 2014

This study analysed the job-housing balance using the number of employees and workers data, and investigated the relationship between job-housing ratio and commuting trip in the Seoul metropolitan area. Between 2005-2010, in the central business district which functioned as urban center, the number of employees were reduced and population growth slowed. Meanwhile, the suburbanization of employment and population has advanced as the employment and population moved from Seoul to Gyeonggi-do. As the increasement of workers compared to the employees became prominent, the excess workers increased significantly. The size of excess workers acted as a factor which reduced the job-housing ratio. Job-housing imbalance worsened in Gyeonggi-do especially. While in many regions, job-housing imbalance improved in clerical, sales, and professional job sectors, but in some regions, the job-housing imbalance worsened in simple labor job and service job sectors. The number of jobs which job-housing imbalance was eased increased in the employment center. The more the job-housing ratio is high, the lower the degree of self-sufficiency of commuting trip and the proportion of internal commuters. In business centers where the number of employees exceed the number of workers, the job-housing ratio and the proportion of commuting trips coming from other regions showed decreasing trend together. The results bear important implications for regional labour market plans considering the spatial mismatch between jobs and housing.

• Journal of Environmental Science International
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• v.6 no.6
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• pp.659-670
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• 1997

Vehicle occupant exposure to volatile organic compounds (VOCs) has been a subject of concern In recent years because of higher levels of VOCs Inside vehicles as compared to the surrounding ambient atmosphere and because of the toxicity of VOCs. The effectiveness of two commercial ACDs for the removal of selected VOCs in the interior of automobiles was evaluated on 115 commutes throegh urban (Taegu) commutes by two cars and 9 idles. The idling and commuting studios conducted under four different driving conditions showed that the ho commercial ACDs were not effective for the removal of VOCs in the interior of vehicles. The concentrations of all target VOCs except benzene were significantly higher (p<0.05) in the interior of older car than of newer cu. The mean levels of benzene and toluene measured in thins study were well excess of earlier other studios In the United States, besides Los Angeles with which was comparable. It was reported that the in-vehicle exposure to benzene and corresponding upper-bound cancel risk were about 8 times higher than those for outdoor environment, while they were about half of those from Indoor environment.