• Journal of Korean Society of Transportation
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• v.32 no.1
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• pp.27-38
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• 2014

Recently, urban and transportation planning for Transit Oriented Development(TOD) has become a major issue. For the effective policy implementation of TOD, it is important to understand the travel behavior of residents in housing areas. In this study, we compared the travel behaviors of residents by housing types based on 'the 2010 Household Travel Survey Data' focusing on metropolitan areas. By building an estimation model for subway trip frequency by housing types, it was identified that the factors influencing subway trips and ultimately suggested implications to increase the use of the subway. The highest share of bus mode was for detached house residents with 22.8%, whereas the share of subway mode was highest by efficiency apartment residents with 17.5%. Walking distance to the subway from efficiency apartment and row house were verified as 661meters and 749meters. As the residents of each housing type have more cars and bicycles, their subway trips were decreased. It was also found that subway trips were increased when the population density of residence was high with good accessibility to subway stations and poor accessibility to bus service. In this study, the statistical findings to differentiate the planning factors of public transportation by housing types were also provided. The results of this study would be used for urban design considering the travel behaviors of residents by housing types and can also be utilized for promoting the patronage of public transportation. Some limitations and a future research agenda have also been discussed.

• Journal of the Korean Geographical Society
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• v.46 no.6
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• pp.781-796
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• 2011

Mobility of elderly people is an important issue in Korea (ROK) where the aging process of the population is so rapid. This paper aims to examine the unique characteristics of elderly travel behavior in comparison to younger people and the changes in such characteristics given that Korea (ROK) has the world's fastest aging population. To this end, the paper analyzes two recent large scale survey data sets, each including more than a quarter of a million individuals' travel diaries in metropolitan Seoul, collected in 2002 and 2006, respectively. The analysis found that elderly travel differs greatly from younger people's in many aspects, and the mobility of the elderly, particularly those aged 65 to 69, has increased a great deal. Recent reforms of public transportation systems in the city could contribute to the increase in elderly mobility.

• Journal of Korean Society of Transportation
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• v.29 no.4
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• pp.29-41
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• 2011

This study investigates the factor that influences commuting time to work when individuals allocate their time for different types of activities. The commuting time is an important indicator for an individual to determine the residence and choose the means of transportation. The analysis uses the data collected from people who live in Seoul metropolitan area including Seoul, Incheon and Gyeonggi Province, and commute to work and making the simple linkage travel (home-work-home) within the area. For the analysis, the Cox hazard proportional methodology was adopted. The method is known to be well applied without assuming any distribution in case of the dependent variable being continuous. For the covariate, the interaction effect between the space variable of the work place and the variable of transportation has been also included in the model. The commuting time to work has been estimated for both 1) the whole metropolitan area and 2) the separate regions i.e., Seoul, Incheon and Gyeonggi-Do. The result reveals that characteristic variables related to individual, household and travel properties influence the mode of transportation and the time allocated for commuting to work (p<0.01). This study also demonstrates the usefulness of the Cox hazard proportional model. The data used in this study is the actual household travel data surveyed in 2006 in the metropolitan area, and analyzing the survey data in 2010 is currently in progress. Comparison of the two survey data sets seeking any behavioral change is suggested for the future study.

• Journal of Korean Society of Transportation
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• v.29 no.6
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• pp.97-106
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• 2011

Mode choice model is an essential element for estimating- the demand of new means of transportation in the planning stage as well as in the establishment phase. In general, current demand analysis model developed for the mode choice analysis applies common parameters of utility function in each region which causes inaccuracy in forecasting mode choice behavior. Several critical problems from using common parameters are: a common parameter set can not reflect different distribution of coefficient for travel time and travel cost by different population. Consequently, the resulting model fails to accurately explain policy variables such as travel time and travel cost. In particular, the nonlinear logit model applied to aggregation data is vulnerable to the aggregation error. The purpose of this paper is to consider the regional characteristics by adopting the parameters fitted to each area, so as to reduce prediction errors and enhance accuracy of the resulting mode choice model. In order to estimate parameter of each area, this study used Household Travel Survey Data of Metropolitan Transportation Authority. For the verification of the model, the value of time by marginal rate of substitution is evaluated and statistical test for resulting coefficients is also carried out. In order to crosscheck the applicability and reliability of the model, changes in mode choice are analyzed when Seoul subway line 9 is newly opened and the results are compared with those from the existing model developed without considering the regional characteristics.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1799-1810
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• 2011

Origin-Destination(OD) trip survey being used in travel demand forecasting has been obtained through totalizing process with direct sample survey techniques such as plate license survey, roadside interview, household travel survey, and cordon line counts. However, the OD survey has many discrepancies in sampling, totalizing process, and such discrepancies contains problems of difference between forecasted traffic volume and observed data. On the other hand, transit smart card data recently collected has credible resource of obtaining travel information for bus and metro. This paper presents parameter estimation of gravity model by using transit smart card data. Through the parameter estimation method, we estimated =0.57, ${\beta}$=0.14 of gravity model for bus, and ${\alpha}$=-0.21, ${\beta}$=0.05 for metro. The statistical test such as T-test, coefficient of correlation, Theil`s inequality coefficient showed no difference between observed volume and estimated volume. Elasticities of bus and metro derived in this paper are also reasonable.

• Journal of the Society of Disaster Information
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• v.20 no.2
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• pp.257-269
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• 2024

Purpose: The purpose of this study is to explain the pivotal role of the travel forecasting process in urban transportation planning. This study emphasizes the use of travel forecasting models to anticipate future traffic. Method: This study examines the methodology used in urban travel demand modeling within transportation planning, specifically focusing on the Urban Transportation Modeling System (UTMS). UTMS is designed to predict various aspects of urban transportation, including quantities, temporal patterns, origin-destination pairs, modal preferences, and optimal routes in metropolitan areas. By analyzing UTMS and its operational framework, this research aims to enhance an understanding of contemporary urban travel demand modeling practices and their implications for transportation planning and urban mobility management. Result: The result of this study provides a nuanced understanding of travel dynamics, emphasizing the influence of variables such as average income, household size, and vehicle ownership on travel patterns. Furthermore, the attraction model highlights specific areas of significance, elucidating the role of retail locations, non-retail areas, and other locales in shaping the observed dynamics of transportation. Conclusion: The study methodically addressed urban travel dynamics in a four-ward area, employing a comprehensive modeling approach involving trip generation, attraction, distribution, modal split, and assignment. The findings, such as the prevalence of motorbikes as the primary mode of transportation and the impact of adjusted traffic patterns on reduced travel times, offer valuable insights for urban planners and policymakers in optimizing transportation networks. These insights can inform strategic decisions to enhance efficiency and sustainability in urban mobility planning.

• Proceedings of the Korean Society for Information Management Conference
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• 2012.08a
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• pp.3-6
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• 2012

본 연구의 목적은 도서관 이용자들의 일상생활에서 공간들이 어떠한 관계성을 가지고 이용되는지를 분석하는 것이다. 관계성을 파악하기 위한 데이터로 미국 Puget Sound Region Transportation Department에서 수집한 Household Travel Survey 데이터를 이용하였다. 데이터 분석을 위한 도구로 소셜 네트워크 분석도구 중의 하나인 NodeXL을 사용하였다. 분석결과 선행연구에서와 유사하게 슈퍼마켓, 레스토랑, 쇼핑몰 등이 도서관 이용과 공간적으로 연관성이 있음이 나타났다. 또한 전체 이용자의 분석결과와 비교하여 도서관 이용자만이 가지고 사회적 공간이용의 특성을 발견되었고 도서관 정책개발에 이러한 특성이 반영될 필요가 있음을 제안하였다.

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.65-74
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• 2006

The costs of owning car are accepted as a subscription fee for participating in car-oriented society and only direct out-of-pocket costs of driving are mostly considered, so that the efficient location with better accessibility to service facilities is often under-appreciated. The purpose of this study is to explore the impact of accessibility to public transport and other service facilities on travel demand and transportation cost of household. The residential areas in Hamburg are categorized into 8 types according to level of public transport and other service facilities. The costs of owning and operating car in each residential area are calculated on the base of the household automobile ownership and usage analysed through the actual survey The result of this analysis shows that the transportation cost of household is decreased In proportion to the level of Public transport and other service facilities. This analysis finds the structure of residential area, which economize energy consume and makes household actual transportation cost saying Possible. The result of the analysis can be used as a tool for influencing home locaion choice towards Public transportaion corridors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2D
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• pp.171-179
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• 2008

In this paper, "Gyeonggi-Do household weekend travel survey" is used in order to analyze activity participation and travel behavior for the people who go to work on Saturday(workers) and those who do not go to work(non-workers). To find out causal relationship between activity participation and travel behavior, Structural Equation Models are developed. Examination of the causal relationship between activity participation and travel behavior identifies three stages. Firstly, subsistence activities and leisure activities are generated. Secondly, each activity participation produces trip volumes and travel times. Finally, the sum of travel times forms trip volumes. Looking into the activity participation stages for the workers, their subsistence activies have a tendency to take place first, and leisure activities usually follow. Non-workers generate more simple trip chains and most of their first stage activities are leisure related.

• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.347-356
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• 2014

Passenger cars occupy about 74% among registered vehicles in Korea and the ratio of transportation mode sharing is approximately 60% in the passenger transport part. However, there is no statistics related to travel characteristics of passenger cars, and official statistics are estimated from O/D travel data. Thus, National Transportation DataBase Center in KOTI has attempted to construct various statistical data through Korea Vehicle Use Survey. Based on these data, Analysis of Variance (ANOVA) was conducted to investigate the differences in travel characteristics of each analysis group. As a result, all of the explanatory variables(weekday vs. weekend, metropolitan area vs. non-metropolitan area, male vs. female, commute time vs. other time, routine purpose vs. non-routine purpose) were found to be different across households. In addition, travel distances per trip of weekday, metropolitan area, male, commute time, and non-routine purpose are longer than the opposite variables. Also, the trip distances of small size(1 to 2 persons) households are shorter compared to large size(more than 5 persons) households.