• Journal of Korean Society of Transportation
• /
• v.31 no.2
• /
• pp.20-32
• /
• 2013

This study is aimed at identifying the relationship of transit accessibility types to its related travel frequency in the Seoul metropolitan area. A multi-level poisson regression model is employed after categorizing transit accessibility into 18 types based on locations of residential and work workplace. Analysis results offer three policy implications in improving transit use in the Seoul metropolitan area. First, increase in transit ridership can be more effectively attained when policies concerning both competitive and complementary relationships between bus and rail transit are incorporated. Second, transfer system needs to be focused on such two modal perspectives as one travels from Seoul to suburban area and residential areas given the fact that walking accessibility to bus transit is good but that to rail transit is poor. Third, it is more effective to emphasize rail transit priority rather than bus transit, especially for the travel from suburban area to the city of Seoul in order to increase transit ridership.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.29 no.4D
• /
• pp.467-472
• /
• 2009

Even if Seoul City administration improved its public transportation service, transportation model share in seoul has not been increased. Subway user is also decreasing. Therefore, policy transition into TOD(Transit Oriented Development) should be applied in oder to enhance subway modal share. This paper develops a influencing model by using variables of transportation demand and supply. In addition, it provides major influencing factors for users in subway station area and level of transportation supply based on the analysis results. The results show that: first, cluster analysis presents that traffic pattern is proved to be different according to land use characteristics(residence, non-residence); second, main transportation variables such as transferring distance, the number of bus stop, the number of short distant bus lines, and the number of bicycle are more supplied in residential area compared to non-residential areas; third, the number of lines, bus dispatching interval, operating time, and distance between subway stations are more supplied in non-residential areas than residential areas. All in all, the results will be useful for providing priority of considerations in case of decision-making on public transportation policy in subway station area.

• Journal of Korean Society of Transportation
• /
• v.28 no.4
• /
• pp.19-30
• /
• 2010

It has become important to have some proper guidelines of how to provide public transport information services in response to the rapid IT developments and the wide spread of public information services. The current study takes a contextual approach to the analysis of public transportation information use under a dynamic decision situation, complementing the conventional cross-sectional approaches. Using the CHAID of decision tree induction based on decision table formalism applied to the survey data of activity travel and information use, the study found that the information type and medium choices are strongly affected by the decision contexts in addition to the individuals' socio-demographic characteristics. The results suggest an important implication to the market segmentation of information services for public transportation.

• Journal of Digital Contents Society
• /
• v.18 no.1
• /
• pp.115-121
• /
• 2017

The Korea metropolitan areas have the largest of population density in OECD countries. Those people who use public transportation is facing many difficulties in commuting and going to school. There are many applications to help this situation. However, those applications inform a regular timetable and also offer a real-time alarm to user by user's passive action. In this paper, we design and implement the application that give the real-time traffic information and the arrival notification message about subway, bus and foot to user.

• Nuclear industry
• /
• v.23 no.11 s.249
• /
• pp.9-20
• /
• 2003

이 연구는 원자력에 대한 국민들의 여론 형성 과정을 분석하고 효과적인 대중 커뮤니케이션 전략을 수립함으로써 궁극적으로 원자력의 사회적 수용성을 높이기 위한 목적으로 수행된 것이다. 주된 연구 내용은 (1) 일반 국민들의 매체 이용과 원자력에 대한 태도 형성 과정 분석 (2) 대중 매체의 원자력 관련 보도에 대한 내용 분석(content analysis) (3) 매체의 의제 설정(agenda-setting) 과정 분석을 위한 심층 인터뷰(FGI) (4) 효과적인 대중 커뮤니케이션 전략의 수립 등이다. 연구의 주요 내용을 3회에 걸쳐 연재한다.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.11 no.2
• /
• pp.1-12
• /
• 2008

This paper identifies public transit-poors and derives spatial characteristics of the poors' distribution in an urban area by utilizing buffering analysis of geographic information systems and remote sensing techniques in the case of Daegu metropolitan city. Since special attention is given to elderlies, this study assigns three hundred meter buffer from bus/subway station as service boundary for elderlies. The results of this study tell us that 1) the transit-poors are concentrated on suburban and rural regions, 2) high proportions of the transit poors are elderlies with spatial variations in many regions, 3) the main housing type of the transit-poors is single detached house. We expect that this study can contribute to build an effective policy-making by showing essential technical processes and methods in identifying policy-need groups and their characteristics of spatial distribution.

• Journal of Korean Society of Transportation
• /
• v.21 no.6
• /
• pp.43-55
• /
• 2003

This paper presents a new method for estimating potential transit ridership residential population and number of employees that have accesses to transit services. A standard procedure that can be used to determine transit accessibility by pedestrians ad automobiles are developed to improve its transit demand forecasting capability. The analysis results are compared with those from the traditional buffer method as well as the network ratio method. It was found that the proposed method is more accurate than the traditional methods. The new method can be used to better estimate the "Walk Access" transit trips and "Auto Access" transit trips in the Mode Choice Model.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.39 no.6
• /
• pp.859-867
• /
• 2019

Severe weather conditions, such as heavy snowfall, rain, heatwave, etc., may affect travel behaviors of people and finally change traffic patterns in transportation networks. To deal with those changes and prevent any negative impacts on the transportation system, understanding those impacts of severe weather conditions on the travel patterns is one of the critical issues in the transportation fields. Hence, this study has focused on the impacts of a weather condition on travel patterns of public transportations, especially when a heavy snowfall which is one of the most critical weather conditions. First, this study has figured out the most significant weather condition affecting changes of public transport ridership using weather information, card data for public transportation, mobile phone data; and then, developed a decision-tree model to determine complex inter-relations between various factors such as socio-economic indicators, transportation-related information, etc. As a result, the trip generation of public transportations in Seoul during a heavy snowfall is mostly related to average access times to subway stations by walk and the number of available parking lots and spaces. Meanwhile, the trip attraction is more related to business and employment densities in that destination.

• Journal of Korean Society of Transportation
• /
• v.24 no.1 s.87
• /
• pp.59-72
• /
• 2006

In spite of continuous implementation of the transportation demand management (TDM), the profuse use of car at the peak-time has caused chronic traffic congestion in the Seoul downtown area. This study makes a comparative analysis on the effectiveness of commuting cost subsidy system for public transit user with other policy instruments such as an increment in fuel tax and park cost. This study not only follows standard guidelines of stated preference methodology to guarantee objectivity, but also uses sample enumeration method and non-Parametric bootstrapping method to secure reliability of empirical results. As a result of empirical studies, the conversion effect of car to public transit is superior to other two Policy instruments. Also. an increment in fuel tax and park cost is income-regressive from the equity aspect in a wage bracket, but commuting cost subsidy system for Public transit user is Income-progressive As a fundamental research on commuting cost subsidy system for public transit user, this study is likely to Provide Policy-makers with quantitative information useful in establishing Public transport Policy to Promote the use of the public transit.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.15 no.5
• /
• pp.12-19
• /
• 2016

An average of 20 million individual transit unit activities per day on the Seoul-Gyeonggi-Incheon public transportation network are provided as transportation card analysis data by the metropolitan district (99.02% by 2014 standard, Humanlive, 2015.4). The metropolitan transportation card data can be employed in a comprehensive analysis of public transportation users' current transit patterns and by means of this, an effective use plan can be explored. In enhancing the existing information on the bus and rail integrated network of the metropolis with public transportation card data, the constraints in the existing methodology of metropolitan transit analysis, which functions on a zone unit origin and destination basis, can be overcome. Framework for metropolitan public transportation card data based integrated public transportation analysis, which consists of bus and rail integrated transport modes, is constructed, and through this, a single passenger's transit behavior transit volume can be approximated. This research proposes that in the use of metropolitan public transportation card data, integrated public transportation usage, as a part of individual passenger spatial movements, can be analyzed. Furthermore, metropolitan public transportation card usage data can provide insights into understanding not only movements of populations taking on transit activities, but also, characteristics of metropolitan local space.