• Journal of Korean Society of Transportation
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• v.7 no.1
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• pp.19-34
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• 1989

In general, Shopping centers are located in the center of transportation, which induce more traffic concentration than other facilities. As a result, it becomes to one of the aggravating factors of urban ＆ transportation problem such as traffic conjestion, parking problems. Thus, in planning shopping-center, it is desirable that consumer\`s trip pattern is should lie more carefully analyzed in order to alleviate the above problems. This study is aimed at finding the characteristics of shopping tripes and analyzing the choice behavior of shopping center and mode-to-shop. This study has developed a nested logit model in which consumers choose shopping center and mode-to-shop with a sequential structure. The model was estimated using household data from the 1989 May, Seoul metropolitan area and the 18 alternatives of shopping center and 5 mode alternatives. The estimated model have been evaluated and it may be concluded that this model for shopping trips is effective and fesible. The conclusion of this study are as fellows. 1. Out-of-vehicle travel time is more important factor affecting behavior of mode choice than in-vehicle travel time. 2. All of direct-elasticities for mode with respect to the travel time is more elastic than travel cost. 3. Accessibility to shop is more important factor affecting the choice of shopping center than parking space. 4. The value of out-of-vehicle travel time exceeds the value of in-vesicle travel time by 1.64 times.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.253-259
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• 2013

Investment scenarios in the transportation network design problem usually contain installation or expansion of multi-mode transportation links. When one applies the mode choice analysis and traffic assignment sequentially for each investment scenario, it is possible that the travel impedance used in the mode choice analysis is different from the user equilibrium cost of the traffic assignment step. Therefore, to estimate the travel impedance and mode choice accurately, one needs to develop a combined model for the mode choice and traffic assignment. In this paper, we derive the inverse demand and the excess demand functions for the multi-mode multinomial logit mode choice function and develop a combined model for the multi-mode variable demand traffic assignment problem. Using data from the regional O/D and network data provided by the KTDB, we compared the performance of the partial linearization algorithm with the Frank-Wolfe algorithm applied to the excess demand model and with the sequential heuristic procedures.

• Korea journal of population studies
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• v.34 no.1
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• pp.129-157
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• 2011

This study attempts to analyze the effect of level of education on the attitudes toward immigrants or foreign workers. More specifically, we examine whether there is significant difference in the effects of the level of education and global mind on the attitude among three East Asian countries (South Korea, Japan, and Taiwan), controlling other socio-demographic factors in relation to increase in immigrants and foreign workers. Using EASS data, we employs sequential logit model to the general attitudes toward immigrant workers into the weighted sum of transition probability within each educational level. One major finding is that there is clear and significant difference in the relationship between the level of education and the attitudes toward foreign workers among three countries. In general, while Japanese and Taiwanese tend to have more open-minded attitudes toward foreign workers as they have higher level of education, Koreans are opposite case that they are little bit more hostile toward to foreign workers with higher level of education. Especially, there is strong positive effect of education on the attitude in Taiwanese case. Another finding is that while there is strong resistance against increase in migrant population in Korea and Taiwan, Japanese respondents want current level of foreign population to remain in the similar level. Our findings imply that there is no one converging pattern of relationship between the level of education and the positive attitudes toward foreign workers which can be applied to any country. Therefore, this paper suggests that unique political, social, and cultural characteristics of each country should be considered to better understand the effect of education on the attitude toward immigrants and foreign workers. Also, we conclude that systematic comparative-demographic analyses should be utilized to provide more comprehensive picture of how difference in educational level affects the attitude toward immigrants and foreign workers.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.5D
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• pp.671-677
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• 2011

A diversity of railway network function enhancement projects such as the double tracking, electrification, and direct operation have been actively executed to improve the railway service. When the new rapid transit is provided, how many people will use it instead of other transports? How will the railway choice behavior be changed? Accordingly, in this paper, the applicability of diverted travel demand forecast methods, by Revealed Preference(RP) and Stated Preference(SP) data was reviewed for Daegu metropolitan rail rapid transit service. As the result of combining RP and SP data, including the sequential and simultaneous approach, the total travel time and travel cost parameters are of the right sign and are highly significant. The simultaneous approach is more efficient in terms of the estimation of coefficients. In particular, methods to improve validity of the Mixed RP/SP models, when RP data is used proportionally, the diverted travel demand can be easily identified by railway fare and travel time service level. Therefore, it is considered that this will practically apply even in other regions as well as Daegu metropolitan railway.