• Title/Summary/Keyword: 버스노선

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Importance-Performance Analysis for Improving Demand Response Transport(DRT) System (수요응답형교통(DRT)의 활성화를 위한 중요도-실행도 분석)

  • Jang, Tae Youn;Kim, Jun Sung
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.3
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    • pp.46-58
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    • 2018
  • DRT should have higher positive benefits to become the public transit than the current backcountry buses having demand deficiency and operation problems. The study examines the factors for activating DRT through importance and performance analysis(IPA) and applies the IPA gap theory to find relationship between the current buses and DRT in the mixed operation area. As a result, the operation area is the urgent improving factor and the next ones are transfer related factors, on-time arrival, safe driving, operation time and vehicles. According to the gap theory to activate DRT and reduce the current bus system, in the case that performance is smaller than importance, the performance of transfer, operating time and area, and vehicles should be up. In the case that performance is higher than importance, the performance of luggage space, vehicle clean, safe driving, operator kindness, transfer, operating elements, and fare should keep going.

Development and Evaluation of Real-time Travel Time Forecasting Model: Nonparametric Regression Analysis for the Seoul Transit System (비모수 회귀분석을 이용한 실시간 통행시간 예측 기법 개발 및 평가 (서울시 버스를 중심으로))

  • Park, Sin-Hyeong;Jeong, Yeon-Jeong;Kim, Chang-Ho
    • Journal of Korean Society of Transportation
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    • v.24 no.1 s.87
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    • pp.109-120
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    • 2006
  • Since the 1st of July, 2004, the public transport system of the Seoul metropolitan area has been rearranged. In the new system, bus lines are divided into 4 classes-wide area, arterial road, branch, and rotation lines with renewed fare system based on the total distance travelled. Since central control center known as the Bus Management System (BMS) integrates the entire system operation. it now becomes feasible to collect travel information and provide it to the users scientifically and systematically. The Purpose of this study is to forecast transit travel time using real-time traffic data coming from both buses and subway. This is significant contribution since provision of real-time transit information and easy access to it would most likely boost the use of mass transit system, alleviating roadway congestion in the metropolitan area.

Development of Bus Notification Systems Based on IoT for Vulnerable Pedestrians (교통약자를 위한 사물인터넷 기반 버스 알림 서비스 시스템 개발)

  • Jang, Won-Chang;Park, Ji-Sang;Lee, Myung-Eui
    • Journal of Advanced Navigation Technology
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    • v.20 no.6
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    • pp.588-594
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    • 2016
  • As more populations are getting older, the number of vulnerable pedestrians is increasing, thereby social problems related to transportations also frequently occur in different areas and situations. Many of such problems come from bus drivers who may pass bus stops not recognizing passengers about to board. In this paper, we propose a new IoT bus notification system developed to avoid these situations. Our implementation aims to gain bus service routes using publicly opened data, notify passengers about bus stop locations using GPS information and finally deliver the positions of those passengers to the bus drivers so that they can hardly miss passengers who are willing to board on the right stop. By creating an application, it was conducted by means of a GPS to communicate the location of the vehicle by means of GPS and transfer data to the location of the vehicle. Experimental results show that it is possible to accurately determine the position of passengers even in a crowded race area. The average error distance is 31m, and if the data to be processed as error is excluded, it provides a high reliability as 19m.

A Study on the Estimation Method of Operational Delay Cost in Bus Accidents using Transportation Card Data (교통카드자료를 이용한 버스 사고 시 운행지연비용 산정 방법론에 관한 연구)

  • Seo, Ji-Hyeon;Lee, Sang-Soo;Nam, Doohee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.5
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    • pp.29-38
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    • 2018
  • This study aims to propose a method for the estimation of operational delay cost using transportation card data in bus accidents. Average operational delay time from bus accidents was surveyed among 12 bus companies through an interview method. Then, the operational delay cost was estimated using actual traffic accident data and transportation card data. Results showed that average loss time per bus accident was found to be 45 minutes. In addition, total occupancy of 659 was estimated for the accidents investigated using transportation card data, resulting a total loss time of 494.25 hours. An estimated operational delay cost was 186.9 thousand won per accident, which was 6.37% of social agency cost. The magnitude of this number implied that operational delay cost may have a significant impact on traffic accident cost if included.

A Study on Improvement Plan of City Bus Kindness Service (시내버스 친절서비스 향상 방안에 대한 연구)

  • Lee, Jeong Hun;Jung, Hun Young;Shin, Kangwon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.2
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    • pp.369-377
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    • 2017
  • The city of Busan implemented the 'Bus Quasi-Public Operating System' as a part of the Public Transit Activation Policy. Although the reorganization of routes and fares had temporarily increased the number of passengers, it is facing a downtrend currently. This implies the limited capability of increasing the use of the city buses only by adjusting the systematic components of the system. Thus, the research aims to analyse the effect of improving the 'kindness service' as an alternative way to vitalize the use of city buses. The analysis uses the survey encompassing sixteen 'kindness service' factors that was collected from the passengers and the drivers of the city buses in Busan, and some of the notable findings are followed. According to the analysis of determining the level of importance on the 'kindness service' factors, four major categories were derived; a category to maintain/reinforce the kindness service, a category to make incremental improvement, a category to encourage improvement, and a category to make focusing improvement. Using the categories, the study then performed the cluster analysis on 33 city bus companies in Busan to determine the differences between the companies. Consequently, the companies were grouped into four; two groups (14 companies) showing more importance on the kindness service while the other two groups (19 companies) showing less. In addition, multivariate an analysis of variance (MANOVA) identified the significant differences of the four categories among the groups of companies, and the findings were taken into consideration on further improvement plans of kindness service in the city buses of Busan.

Day-to-day dynamic combined model on the evaluation of traveller's traffic information for multi-mode and multi-class (다수단 다계층 통행정보제공에 따른 일별동적결합모형 개발 및 평가)

  • 이승재;손의영;김인경
    • Journal of Korean Society of Transportation
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    • v.17 no.4
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    • pp.85-97
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    • 1999
  • The Purpose of this Paper is the development of the day-to-day dynamic combined model on the evaluation of traveller's traffic information for multi-mode and multi-class environments. Information is assumed to be provided for multi-mode such as bus and automobile. and multi-class such as a driver with and without route guidance equipment when they depart for their trips. The information provision strategies have been developed in the base of user equilibrium, system optimum and in between them. The Sioux Falls network is used for the evaluation of the model and information provision strategies. In the numerical analysis, a Braess' paradox for the information provision, which is the increase of travel time even though the number of information usage level and user are increased, has been occurred so that these kinds of information strategies should be implemented with special care.

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An Exploratory Study on Improvement Method of the Subway Congestion Based Big Data Convergence (지하철 혼잡도 개선방안에 관한 빅데이터융합 기반의 탐색적 연구)

  • Kim, KeunWon;Kim, DongWoo;Noh, Kyoo-Sung;Lee, Joo-Yeoun
    • Journal of Digital Convergence
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    • v.13 no.2
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    • pp.35-42
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    • 2015
  • As the value of Bigdata has been recognized importantly, public agencies including the government, private sector, etc. began to have an interest in Big Data. As there are sources of various data, and a variety of planning and analysis methods based on these sources has emerged, It is true that Bigdata will become a tool for creation of the new high qualitied information and decision making based on new insights. The purpose of this study is to find an alternative to the subway congestion problem that is not improved even though the various measures. In this study, we tried to explore approaches for ways to improve the congestion of the Seoul Subway using Seoul Metropolitan public data. Lastly, this study derived a policy alternative to establish new bus route that runs around the metro station that have a high level of congestion.

A Study on Fare Estimation for Demand Responsive Transport (수요응답형교통체계 이용요금 가치 추정 연구)

  • Kim, Wonchul;Namgung, Moon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.1
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    • pp.103-111
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    • 2015
  • The purpose of this study is to estimate the appropriate Demand Responsive Transport (DRT) fare for bus users upon introduction of the system, which is to improve ridership on economically non-profitable routes and to conform to the mobility right of those living in presently non-serviced rural areas. For this, a stated preference (SP) survey was adopted to assess respondents' preferences regarding DRT introduction, while the contingent valuation method (CVM) was used to calculate their willingness to pay (WTP) for DRT services. The analysis results show that, compared to the existing bus services with a 1,000 won bus fare, the value of DRT is considered to be 38.85%, 31.03% and 30.12% higher in terms of overall assessment, usability and convenience, respectively. The results of this study are expected to facilitate the decision making aimed at setting the appropriate DRT fare and implementing a DRT system that meets sustainability requirements.

Mitigation of Insufficient Capacity Problems of Central Bus Stops by Controlling Effective Green Time (유효녹색시간 조정을 활용한 중앙버스정류장 용량 부족 완화 방안 연구)

  • Koo, Kyo Min;Lee, Jae Duk;Ahn, Se Young;Chang, Iljoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.1
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    • pp.35-50
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    • 2022
  • After the introduction of the central bus lane system, bus traffic was prioritized. This resulted in improved trust from bus users. However, the low capacity at the central bus stop reduces traffic speed and punctuality. In addition, physical constraints are inevitable because the construction of central bus lanes and bus stops considers the city's road geometry. Therefore, this study attempted to optimize the effective green time of the traffic signal system at the entrance and exit of the central bus stop to remedy its insufficient operational capacity. The Transit Capacity and Quality of Service Manual and Korea Highway Capacity Manual were used as the analysis methodologies. The number of stop areas for central bus stops to be built was determined by excluding variable physical factors, and field survey data collected from nine randomly selected central bus stops currently installed in Seoul were used. A scenario analysis was conducted on the central bus stops with insufficient capacity by adjusting the effective green time, and the capacity of the central bus stop was set as the dependent variable. According to the results, 26.7 percent of the central bus stops with insufficient capacity can solve the problem of insufficient capacity. Therefore, the results of this study can be verified by improving the operation level, and it can be effective even if the number of central bus stops calculated by engineering is not guaranteed during the planning stage of the central bus stop. As the number of central bus stops is expected to increase further as the number of central bus stops increases, it is necessary to improve the number of central bus stops. Therefore, it is hoped that the results presented in this study will be used as basic data for the improvement plan at the operational level before introducing the physical improvement plan.

A Model of Location Decisions of Natural Gas Filling Station Considering Spatial Coverage and Travel Cost (공간적 접근성 및 통행비용을 고려한 천연가스 충전소 최적 입지선정 모형)

  • Yu, Jeong-Whon;Lee, Mu-Young;Oh, Sei-Chang
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.145-153
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    • 2008
  • This study proposes a facility location model in consideration of spatial coverage and travel cost as an effort to make objective and effective decisions of natural gas filling stations. The proposed model is developed for fixed stations and consists of two stages. The first stage employs a heuristic algorithm to find a set of locations which satisfy the spatial coverage constraints determined by the maximum travel distance between the filling stations and bus depots. In the second stage, the optimal location of filling stations is determined based on the minimum travel cost estimated by using a modified transportation problem as well as the construction and maintenance costs of the filling stations. The applicability of the model is analyzed through finding the optimal location of filling stations for the city of Anyang, a typical medium-sized city in metropolitan Seoul, based on the demand of natural gas buses. This study is expected to help promote the spread of natural gas buses by providing a starting point of a objective and reasonable methodological perspective to address the filling station location problem.