• Title/Summary/Keyword: Transportation area

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A Study of Effectiveness Analysis for Wide-Area Emergency Vehicle Preemption System : Targeting on Gyeonggi-Do (광역 긴급차량 우선신호시스템 효과분석 연구: 경기도를 중심으로)

  • Min Kim;Jae Seong Hwang;Choul Ki Lee;Byeong Kwon Choi
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.4
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    • pp.67-76
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    • 2024
  • This study conducted an operational evaluation of an emergency vehicle preemption system that can be operated as a wide-area unit beyond the boundaries of local governments. Analyzed the speed reduction rate of emergency vehicle dispatch data and traffic speed data to analyze the speed reduction rate of emergency vehicles operating in a wide area and region. In Goyang City, local dispatches were reduced by 50.8% and regional dispatches by 55.8%, while in Paju City, local dispatches were reduced by 55.1% and regional dispatches by 62.5%. The wide-area emergency vehicle preemption system proved to be effective when emergency vehicles were dispatched outside of local boundaries, such as confirming that there were many dispatches from Paju-si to Goyang-si when there were no large hospitals nearby. This study aims to help spread the wide-area emergency vehicle preemption system. Translated with DeepL.com (free version)

Integrated Equity Analysis Based on Travel Behavior and Transportation Infrastructure: In Gyeonggi-Do Case (교통인프라와 통행행태를 기반으로 한 통합적 형평성 분석: 경기도를 중심으로)

  • Bin, Miyoung;Lee, Won Do;Moon, Juback;Joh, Chang-Hyeon
    • Journal of Korean Society of Transportation
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    • v.31 no.4
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    • pp.47-57
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    • 2013
  • This study aims at analyzing transportation equity between geographical areas of Gyonggi Province, by taking both the transportation infrastructure and travel behavior into account. Indicators of transportation infrastructure include the indices of road infrastructure, transit infrastructure and regional characteristics. Travel behavior concerns information from bus card data on a survey day. The hot-spot analysis conducted included spatial cluster analysis and global/local regression analyses. The analysis results identified geographical areas of four different classes of transportation equity, from the area with high level infrastructure surrounded by the areas with high level infrastructure (HH) to the area with low level surrounded by the areas with low level (LL). The area of HH type showed big numbers of passengers, trips and transfers, whereas the area of LL type shows big figures of internal trip frequency, travel time, travel distance, travel speed and transit fare. Global regression analysis showed that number of passengers, number of transfers, number of internal trips and mean travel speed are important to the level of transportation infrastructure. GWR with these four significant variables significantly improved the AICs and ANOVA results, which implies that the infrastructure is likely explained by travel characteristics differently between geographical areas in Gyonggi Province.

A Decision Support System for an Optimal Transportation Network Planning in the Third Party Logistics

  • Park, Yong-Sung;Choi, Hyung-Rim;Kim, Hyun-Soo;Park, Nam-Kyu;Cho, Jae-Hyung;Gang, Moo-Hong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2006.10a
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    • pp.240-257
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    • 2006
  • In an effort to gain competitiveness, recently many companies are trying to outsource their logistics activities to the logistics specialists, while concentrating on their core and strategic business area. Because of this trend, the third party logistics comes to the fore, catching people's attention, and expanding its market rapidly. Under these circumstances, the third party logistics companies are making every effort to improve their logistics services and to develop an information system in order to enhance their competitiveness. In particular, among these efforts one of the critical parts is the decision support system for effective transportation network planning. To this end, this study has developed an efficient decision support system for an optimal transportation network planning by comprehensively considering the transportation mode, routing, assignment, and schedule. As a result of this study, the new system enables the expansion of the third party logistics companies' services including the multimodal transportation, not to mention one mode of transportation, and also gets them ready to plan an international transportation network.

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Transit Mobility Measures on the Seoul Multimodal Network (대중교통망 이동성지표 개발(네트워크 분석을 중심으로))

  • Noh, Hyun-Soo;Doh, Tcheol-Woong;Kim, Won-Keun;Cho, Chong-Suk;Shin, Seong-Il
    • 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.

A Study on forecasting of the Transportation Demand Mungyeng Line (문경선 운영 재개에 따른 이용수요 예측 연구)

  • Kim, Ick-Hee;Lee, Kyung-Tae
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.638-644
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    • 2008
  • Mungyeng line(Jupyung${\sim}$Mungyeng) was closed due to a rapid decrease in demand in 1995. However, as the rail transportation demand is expected to increase with the plan to develop a tourist resort and a traffic network in Mungyeng area, it is required to forecast future demand to meet the change of transportation environment in this region. This study predicts the rail transportation demand and analyzes financial benefit in operator's side in case of reopening this line, based on nation-wide traffic volume data from Korean Transportation Database(KTDB). The results of this research can be applied to not only establishing a train operation plan also improving customer service. Moreover, Korail will have an opportunity to develop new business by linking train service to tourist attractions around the Mungyeng area.

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Analysis of Models and Contributions of Demand Responsive Transit(DRT) for Public Transportation Service Weak Areas (지방자치단체의 대중교통 소외지역 수요응답형 교통수단(DRT) 제도 도입에 따른 모형 및 기여도 분석)

  • Ji, Minkyung;Kim, Eungcheol
    • Journal of Urban Science
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    • v.7 no.2
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    • pp.1-9
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    • 2018
  • In this study, Analysis of DRT model and contribustion based on the case of local governments adopting the Demand Responsive Transit(DRT) in order to provide transportation in public transportation service weak area. Based on the case of Yeoju Area, the contribution of the DRT was analyzed. The DRT model was established as a fixed and call type model with taxi and bus transportation. Based on the results of the happy taxi service in Yeoju Area in 2016, the contribution of DRT was analyzed. According to the happy taxi performance of Yeoju city, it was introduced to 27 villages, and operated 4,188 times. And 9,111 people used it and Yeoju Area supported about 53 million Won. The contribution of local governments was analyzed in terms of local government, users, and social aspects. On local government aspects, we analyzed the budget cuts and complaints resolution. On the user aspects, we analyzed waiting time reduction, walking time reduction, travel time reduction, comfort, punctuality, and stability. On social aspects, we analyzed taxi and regional economy activation, and convenience of mobility.