• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6D
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• pp.801-807
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• 2008

This study attempts to evaluate and compare the land consumption efficiencies of various urban transport modes, utilizing the time-area method. With the careful considerations of travel conditions and modal characteristics, equations for the computation of time-area for various different modes are derived. With the appropriate assumed values of parameters, time-area consumptions per person per km for each mode both for peak and off-peak situations are computed and evaluated. The relationships between the time-area consumed and operating speed for each mode are graphically demonstrated and discussed. An example of the time-area consumed for a hypothetical commuter round-trip using various modes are also presented in order to clearly show the consumption of parking requirements by specific modes. It shows that regardless of facilities used, auto users are by far the worst in terms of area efficiency and that transit, especially rail rapid transit, is a superior mode. Pedestrian and bicycle, though consuming more than expected, also demonstrate the advantage in case of a short-distance trip in terms of area efficiency compared with the bus transit modes.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.1-16
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• 2022

Recently, e-scooters have been attracting attention as eco-friendly modes of transportation in cities due to an increasing interest in the environment. Accordingly, various studies on usage behavior are being conducted, but studies that reflect individual travel attitudes are insufficient. Therefore, this study surveyed commuters in Seoul and analyzed respondents' traveling attitudes through factor analysis. It also built a binary logistic regression model for the intention to use shared e-scooters to determine how individual travel behaviors are affected. In particular, the model results showed that age, the main mode of transportation (car), walking time to the bus stop, and four travel attitude variables (disutility of travel, preference to self-drive, internet/smartphone friendliness, and willingness to pay extra money for services) significantly affected the intention to use shared e-scooters. This study is expected to be used as basic data, with aspect to travel behavior, for the efficient operation and use of shared e-scooters in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.49-65
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• 2023

In response to the growing global concern for the environment, the international community has recently committed to achieving 'carbon neutrality.' As a result, numerous studies have been conducted on mode choice models that include carbon emissions as a variable. However, few studies have established a correlation between individual preferences and carbon emissions. In this study, a new mode of transportation named sustainable public transit (SPT), incorporating carbon-reducing transport options like electric scooters, is proposed. Analyzing the individual preferences of commuters on carbon emissions through factor analysis, a stated preference (SP) survey was conducted. A mode choice model for SPT was constructed using multinomial logit models. The results of the analysis showed that gender, income, and specific preferences, such as a passion for exploring new routes, a preference for intermodal transfers, knowledge of carbon reduction, and carbon reduction practices, significantly influence latent preferences for SPT. Therefore, this study is significant as it considers carbon emissions as an attribute variable during the construction of mode choice models and reflects the individual preference variables associated with carbon reduction.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.561-569
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• 2016

Purpose : We will clarify the situation of using a smartphone and what kind of factors are currently related when people use a smartphone while doing something else in order to obtain basic information to educate people to prevent the use of smartphone while doing something else. Methods : We conducted an anonymous self-administered questionnaire survey with 885 people who commuted by train to six companies located in Tokyo, Chiba, and Osaka and 550 university students who commuted by train to five universities located in the same areas. The research period was from April to May of 2014. Results : 33% of the subjects used a feature phone and 73% of the subjects used a smartphone. 38% of them listened to music, using their smartphones or feature phones while walking. Binominal logistic regression analysis was done with dependent variables of using a smartphone while walking and independent variables of age, sex, and educational advertisement. The results showed that people in their 20s used a smartphone while walking 4.93 times more than people in their 30s(p <0.00). No significant difference was found in the relationship between sex and educational advertisement(poster, TV, or magazine) and using a smatphone while doing something else.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.529-532
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• 2019

이 논문은 사람의 성격과 나이, 직업, 결혼 유무, 최종학력, 전공, 종교, 월수입, 통근 수단 등 총 14가지로 이루어진 사람의 특징 데이터와 자주 방문하는 선호 장소에 대한 데이터의 상관관계를 분석하고, 어떠한 요인이 가장 크게 영향을 미치는가에 대해 분석하였다. 분석에는 17명의 실험자가 참여하였고, 분석 방법으로는 Boosting 기법을 사용하였다. 성격 데이터는 Big Five Inventory (BFI)를 통해 얻었고, 나머지 특징들에 대한 데이터는 직접 만든 설문지를 통해 얻었으며, 장소 데이터는 Swarm 애플리케이션을 통해 얻었다.

• Journal of Korean Society of Transportation
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• v.17 no.5
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• pp.123-135
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• 1999

The rapid increase of Passenger cars which is caused by the discomfort of Public transit and the Preference of automobiles is the major factor of increasing traffic congestions in Seoul With the point that leading the automobilists to the Public transit can be the most important Policy to ease these traffic congestions, this study focuses on the behavioral aspects of company employees and university students and investigates factors influencing bus ridership. To be brief, by estimating bus ridership through count models, this study investigates factors which influence bus ridership and elicits Political suggestions which lead automobilists to Public transit. The Purpose in this study is the application of appropriate count data model. The count data models have been widely applied to the economic area from the middle of the 1980s and to transportation aspect mainly in the foreign countries from the latter half of the 1980s. Even though a few studies in this country employed count data model to count data. all of them were Poisson regression models without suitable tests for the importance of the model specification. In the end, as the result of statistical test, negative binomial regression model which is suitable for overdispersed data was found to be appropriate for the data of weekly bus ridership. To emphasize the importance of model specification, both of poisson regression model and negative binomial regression model were estimated and the results were compared.

• Journal of Korean Society of Transportation
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• v.22 no.3 s.74
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• pp.7-16
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• 2004

The purpose of this study was to find the characteristics of travel behavior and accessibility in terms of spatial structure. We analyzed travel behaviors and accessibility using a mode choice model and the Complementary Accessibility Index(CAI). The urban spatial structures that were compared were a compact city (CC) versus a sprawled city (SC), and high residential density districts (HD) versus low residential density districts (LD). First, CC and HDs residents had a shorter commuting distance than the CC and LDs residents. Second, behavior models showed that the use of Private cars for commuting in SCs was found to be greater than private car use in CCs, and that public transportation modes would be encouraged in CCs. Third, changes associated with the time and cost of commuting by private car generally affect the demand for public transportation modes in the CC. Also, analysis of cross elasticity suggests that changes of subway travel time affect the demand for buses very elastically. Fourth, the CAI of SC and LD were superior to the CC and HD even though the SC inefficient urban forms in terms of spatial structure. So, the spatial distribution of population density was also found to be an important factor affecting accessibility and energy savings.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.375-383
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• 2006

Nationals Assembly have experiencing unbalance between capacities and demand of parking facilities because of increasing parking demand, free parking policy, long term parking and passenger car use of workers, usage of neighborhood office workers and visitors. The lack of parking facilities cause illegal parking on the street inside and outside of National Assembly which result in the disorder of parking culture. To solve these parking problems, this study suggest parking management system to enter the National Assembly for the short term and charging parking fee, operation by private company, constructing parking building by abrogation of upper limit and construction of ground park, and so on. The study, also, suggested to strengthen weekday or 10 day shift system, to increase shuttle bus and commuting bus, to activation of Han River waterside parking area, public transportation with those new parking management system. For the conclusion, the parking problems of National Assembly should be focused more on parking management than the parking facilities supply.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.143-155
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• 2009

A dynamic traffic assignment (DTA) has recently been implemented in many practical projects. The core of dynamic model is the inclusion of time scale. If excluding the time dimension from a DTA model, the framework of a DTA model is similar to that of static model. Similar to static model, with given exogenous travel demand, a DTA model loads vehicles on the network and finds an optimal solution satisfying a pre-defined route choice rule. In most DTA models, the departure pattern of given travel demand is predefined and assumed as a fixed pattern, although the departure pattern of driver is changeable depending on a network traffic condition. Especially, for morning peak commute where most drivers have their preferred arrival time, the departure time, therefore, should be modeled as an endogenous variable. In this paper, the authors point out some shortcomings of current DTA model and propose an alternative approach which could overcome the shortcomings of current DTA model. The authors substitute a traditional definition for time-dependent OD table by a new definition in which the time-dependent OD table is defined as arrival time-based one. In addition, the authors develop a new DTA model which is capable of finding an equilibrium departure pattern without the use of schedule delay functions. Three types of objective function for a new DTA framework are proposed, and the solution algorithms for the three objective functions are also explained.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.2147-2156
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• 2013

This study aims to analyze the evaluation of the residential environment on the permanent rental housing in Busan. The Permanent Rental Housing policy is one of the special measures which contribute to getting the low-income urban dwellers settled in places of their own. Unfortunately the government has focused on expanding the quantity of housing even though housing doesn't mean just a physical object but the foundation of life. So the occupants who answered the survey lived in the permanent rental housing which were constructed by Busan Metropolitan Corporation. The purpose of the study is to give suggestions which can make up for dissatisfaction and apply preference of occupants based on the results of the research. The result of this study is in following; there were few significant managerial variables determinants of residential satisfaction. And significant variables are; position of rooms and bathroom facilities in internal building characteristics, color of apartment and playground in exterior building characteristics, commuting distance and viewshaft in locational characteristics. Therefore, the government needs to use cutting edge housing technologies aimed at improvement of residential environment and achievement of affordable expense simultaneously.