• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.31-42
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• 2005

Accessibility is the generalized definition on how ease of access. Accessibility is used to appraise transportation project such as capturing the quality of the existing state of the transportation system at diverse spatial levels, It also reflects on the effect of improvements to the existing travel modes and the intoduction of new modes. The overall goal of this study is to propose a measure of urban accessibility in Seoul which can analyze various behavior of travelers in the city and to present applications. In this study, we apply measures of accessibility which are developed by CTR(The Center for Transportation Research, the University of Texas at Austin) to construct the urban accessibility index applicable for explaining trip behavior in Seoul. We evaluate sustainability of urban transport system in Seoul in 2002 by using the MAG(Modal Accessibility GaP) index which is developed to measure the accessibility gap between the more energy-efficient mode and less energy-efficient mode of transport. By analyzing the change of MAG index between 2002 and 2004 based on network data, we show how the public transportation system reform affect the sustainability in transport system.

• Journal of the Korean Regional Science Association
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• v.32 no.3
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• pp.3-15
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• 2016

The purpose of this paper is to examine the effect of income-mix on place attachment as civic pride in Seoul. Place attachment and social mix are considered important in urban planning. However, place attachment is frequently thought to form more strongly in the homogeneous area. On the other hand, social mix policy is aimed to form more heterogenous area. So, the two concepts are thought to be incompatible. This paper focused on the income-mix which is kind of social mix, and used the 2013 "Seoul Survey" and 2010 "Household Travel Diary Survey" data. Based on the review of the literature, we used the civic pride in Seoul as the indicator of place attachment. The results of this paper indicate that the degree of income-mix increases, place attachment in Seoul also increases. Also, it appears that as regional income levels get higher, the effects of income-mix on place attachment decrease.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.77-87
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• 2019

This study is to identify the factors affecting commuting time and modes in urban and rural areas using household traffic survey data. The findings indicated that commuting time using passenger car in rural areas was 1.6 times longer than those in urban areas. When citizen use public transportation, however, there was not much difference in commuting time in urban and rural areas. Among the various factors affecting commuting time in rural areas (13 factors have statistical significance), the most influential factors were that public transportation, managers and office workers, functional and device managers, and passenger car. In urban areas, the highly influential factors were public transportation and walking among the 16 affecting factors which have statistical significance. The commuting time in rural areas increased according to the occupation types, but the commuting time of full-time workers decreased. This phenomenom means that occupation groups with the full-time system prefer residential areas in the densely populated town.

• 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.