• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.719-727
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• 2013

Four-step travel-demand modeling based on a trip-level has been widely used over many decades. However, there has been a wide variance between forecasted- and real-travel demands, which leads less reliable on the model implications. A primary reason is that person's real travel behavior is not properly captured throughout the model developments. An activity-based modeling (ABM) approach was proposed and developed toward increasing the accuracy and reality of person's travel behavior in the U.S. since 1990', and stands as a good alternative to replace the existing trip-based approach. The paper contributes to the understanding of how the ABM approaches are dissimilar to the trip-based modeling approach in terms of estimation units, estimation process, their pros and cons and etc. We examined three activity-based travel demand model systems (DaySim, CT-Ramp, and CEMDAP) that are most commonly applied by many MPOs (Metropolitan Planning Organization). We found that the ABM approach can effectively explain multi-dimensional travel decision-makings and be expected to increase the predictive accuracy. Overall, the ABM approach can be a good substitute for the existing travel-demand methods having unreliable forecasts.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.5
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• pp.1103-1110
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• 2015

Ratio of a day's tour for Geoje-si, 22.6 percent, has increased to 48.6 percent since the opening of Busan-Geoje fixed link. Eight cities of Yeungnam area including Busan-Ulsan and Daegu-Gyeongbuk has been directly affected by the changed route from GJ Bridge to BG Bridge. In order to compare the range of departure area for a one-day trip in Geoje tourist attractions before and after the new fixed link, duration variation of visitors is described as individual difference by normal distribution function. One-day tour trip model based on a circular trip is also suggested under comparatively simple supposition. Since average area after the opening is equal to maximum area before as minimum area after is equal to average area before, the effect of access improvement by the new bridge is revealed definitely. In addition, the effect of cities located in the middle and long distance is greater. Although cities proximity to Geoje are not influenced significantly, every citizen is capable of taking a one-day trip anywhere.

• Journal of Korean Society of Transportation
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• v.23 no.8 s.86
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• pp.7-17
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• 2005

Transportation is from an individual mobility. Various efforts to propose specific values or the individual mobility have been conducted in diverse transportation environment. However, mobility studies for multimodal public transportation are rare especially on not the range of line but area. This study propose a method to calculate transit mobility indices as expanding mobility analysis from point-to-point to area-to-area, considering access time to transit facility, running time and transfer time of passengers. To extract mobility indices, we included walking as a lowest category of mode and set passenger car as a competitive mode to transit mode. This study propose three public transportation mobility indices as 1) how competitive public transportation facility is offered against passenger car 2) how convenient transit mode including walking is provided against passenger car from origin to destination and 3) how many various paths are presented to support passenger's travel between regions. These indices are tested on the Seoul metropolitan area with 10 lines of urban rail and about 420 lines of bus. In addition, we proposed two political applications of proposed mobility indices to increase public transportation mobility between two regions and to maximize the mobility of study area when a line is added in the area.

• Journal of the Korean association of regional geographers
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• v.8 no.4
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• pp.492-512
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• 2002

The daily life activities of primary school children have been increasingly diversified. This research examined the spatio-temporal characteristics of primary school children's daily life activities. The time allocation of primary school children's daily activities was monotonous. They tended to spend most of their time in school activities, private lessons after school, and studying at home. The daily trip to school has been diversified as the result the of increase in the number of double-income families, car owners, facilities for pastime, and educational facilities for private lessons after school. The selection of educational facilities for private lessons was strongly influenced by accessibility to the residence because of the limited time budget of primary school children and the controlled trip behavior by parents. The leisure activities were considered as a minor function and took place in the interval of performances of study-related activities. The high proportion of leisure activities was found in the indoor play. The amount of the time for leisure activity was very insufficient. The spatial range and time budget were strongly influenced by the institutional conditions of parents.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.4
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• pp.579-586
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• 2018

Short-term prediction of travel speed has been widely studied using data-driven non-parametric techniques. There is, however, a lack of research on the prediction aimed at urban areas due to their complex dynamics stemming from traffic signals and intersections. The purpose of this study is to develop a hybrid approach combining ensemble empirical mode decomposition (EEMD) and artificial neural network (ANN) for predicting urban travel speed. The EEMD decomposes the time-series data of travel speed into intrinsic mode functions (IMFs) and residue. The decomposed IMFs represent local characteristics of time-scale components and they are predicted using an ANN, respectively. The IMFs can be predicted more accurately than their original travel speed since they mitigate the complexity of the original data such as non-linearity, non-stationarity, and oscillation. The predicted IMFs are summed up to represent the predicted travel speed. To evaluate the proposed method, the travel speed data from the dedicated short range communication (DSRC) in Daegu City are used. Performance evaluations are conducted targeting on the links that are particularly hard to predict. The results show the developed model has the mean absolute error rate of 10.41% in the normal condition and 25.35% in the break down for the 15-min-ahead prediction, respectively, and it outperforms the simple ANN model. The developed model contributes to the provision of the reliable traffic information in urban transportation management systems.

• Journal of Korean Society of Transportation
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• v.30 no.1
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• pp.7-18
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• 2012

This study suggested a method of forecasting market-share of each mode after introducing new urban rail transit lines. The study reflected the observed market share of presently operating urban rail transit into forecasting process in order to improve accuracy in predicting market share of each modes. For more realistic representation of the forecasting model, we categorized O/D pairs according to attributes of trip distance, access time and number of transfers. The analysis results of traveler's mode choice behavior with observed data showed that the trip distances are longer, the share of urban rail tends to be higher, and that the number of transfers is fewer and the access times are lesser, the share of urban rail also tends to be higher. Then, incremental logit model was used in estimating mode choice probabilities for O/D pairs along with rail transit lines while utilizing observed market shares of each modes and differences in transit service level. As the next step, the market share of rail transit after introducing new rail transit lines was forecasted by using incremental logit model with the intial share values calculated the previous analysis step. It also reflected changes in level of service for automobile in highway due to changes in highway systems and changes in mode shares after introducing new lines of rail transit. It can be expected that the proposed method would more realistically duplicates phenomena of mode choice behavior for rail transit and that it would be more theoretically logical than the typical existing methods using SP data and incremental logit model or using addictive logit model in this country.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.679-686
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• 2006

Recently, the city railway in the Seoul Metropolitan Area (SMA) has offered a low quality of service as a passage time, because it was operated slowly. So, the people who live in modern society are not satisfied about passage time, therefore, this study tried to make that the subway in the SMA becomes a more functional and effective wide-area-transportation-network through an express train introduction's method which examined cases from abroad and current system. and then presented how express train could be applied to current system. In a case study, We used the An-San Line and Su-In Line as a examples and developed a schedule which can minimize the delaying time of subway by using Branch & Bound Algorithm. The train operational plan was loaded to consider a railroad siding, Obtained site, and the dispatch interval(three to ten minutes) for the express and local lines and finally, We presented an alternative operational plan which made by those factors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6D
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• pp.679-686
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• 2012

KTX step 1 April 2004, after the opening, the second phase of the project was opened in November 2010. High-speed rail after the opening and continue to increase the demand of high-speed rail, Have the speed of competitive advantage compared too the means of transportation. The opening of these high-speed rail has led to changes of the move, the company's position, and the spatial structure of the population of reorganization, such as the social, economic, transportation. In this study, survey data using the High Speed Rail Station EMME/2 of the program to take advantage of the 2-Dimentional Blancing trip distribution to investigate the passage through the trip distribution by the estimation of the parameters of the model to estimate the distribution of the means of access and high-speed rail station to reproduce and Analysis of the results by means of access parameters (${\theta}$) autos 0.0395, buses 0.0390, subway 0.0650, taxi 0.0415, the frequency distribution (Trip Length Frequency Distribution: TLFD) were analyzed survey data value model with the results of comparing $R^2$ cars analysis and model values similar survey data 0.909 bus 0.923, subway 0.745 to 0.922, taxi, F test P value analysis is smaller than 0.05 at the 95% confidence level as a note that was judged to have been. Trip frequency distribution analysis, but in the future, set the unit to 5km-trip frequency distribution middle zone Units from small zone units (administrative district) segmentation research is needed, and can reflect the trip distance 0~5 km interval combined function to take advantage of the gravity model and the 3-Dimentional Blancing applied research is needed to be considered.

• Journal of the Korean Geographical Society
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• v.43 no.3
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• pp.358-374
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• 2008

This study examines whether and how ages of child affect accessibility experiences of women and men differently. Space-time accessibility measures based on Time-geographic framework with activity-travel diary datasets in Portland Metro, US were calculated using GIS-based geocomputation, and spatial-temporal patterns of accessibility of dual-earner couples by ages of their youngest child were compared. The results are as follows. (1) Although more women than men work part-time, which would render women more spatial-temporal autonomy, accessibility levels of women are not higher than men's. It implies that there exists another constraint placed on women which largely stems from gender inequality. (2) It is distinctively women with child under age 6 of which accessibility spaces are found to be restricted doser to home compared to men. Women with no child or with child aged over 6, however, show more or less similar spatial-temporal patterns of accessibility with men's which are quite unvarying regardless of parental status and their child age. Women's accessibility experiences characterized by spatial-temporal entrapment, thus, can be seen as problems associated with gender rather than sex. (3) Intensified spatial-temporal entrapment of women with young child are associated with the significant spatial pegs shaping their accessibility spaces, which are located much closer to home compared to men's: workplaces and child's daycare centers.

• Journal of Korean Society of Transportation
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• v.19 no.2
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• pp.43-52
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• 2001

대부분의 관측교통량기반 수요추정기법은 소규모 및 중규모 교통망 등의 상대적으로 규모가 작은 교통망에서 기본적으로 가정된 수요를 가지고 얻은 추정O/D를 기본O/D와 비교하여 그 추정의 정확성이 어느 정도인가를 오차분석법 등을 이용하여 비교.분석하는 것이 그 주요한 분석방향이라고 할 수 있었다. 이러한 접근법은 실제 현실에서는 알 수 없는 참O/D나 참관측교통량을 가정하고 제시된 모형을 면밀히 관찰하여 모형의 장단점이 무엇인지를 파악하거나 타모형과의 비교.분석을 용이하게 하고자 할 때 많이 이용된다. 그러나 이러한 가정된 교통망이나 참O/D(true O/D) 등은 모형의 적용가능성을 살필 경우에 이용 가능한 방법이라고 할 수 있지만, 참O/D를 알지 못하는 현실상황(대규모 교통망)에서는 추정O/D의 신뢰성을 평가하기란 매우 힘든 작업이거나 거의 불가능한 일이라 할 수 있다. 이러한 문제점을 보완하고자 본 연구에서는 서울시의 1996년도 교통센서스 자료를 이용하여 가정된 수요가 아닌 실제적이고 현실적인 자료를 가지고 대규모 교통망에서 이용될 수 있는 모형을 살펴보았다. 연구방법은 대규모 교통망에 기존의 단일차종기반모형과 본 연구에서 제시한 다차종(multiclass)기반모형을 적용하여 추정된 O/D에 TLFD(Trip Length Frequency Distribution)개념을 이용하여 추정된 O/D의 신뢰성을 평가하고자 하였다. 또한, $R^2$를 이용하여 모형 적용 전후의 관측교통량과 배분교통량을 비교하여 추정력을 분석하였다. 본 연구에서는 단일차종기반모형보다는 차종간 혼잡효과 및 노선선택비율을 차종별로 감안할 수 있는 다차종기반모형이 대규모교통망에서는 보다 적절한 결과를 나타내는 것으로 분석되었다.