• Title/Summary/Keyword: 개통연도

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A Study on Inaccuracy in Urban Railway Ridership Estimation (도시철도 교통량 추정의 오차발생 요인 연구)

  • Kim, Kang-Soo;Kim, Ki Min
    • Journal of Korean Society of Transportation
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    • v.32 no.6
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    • pp.589-599
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    • 2014
  • This paper analyzes the forecasting errors of traffic volumes by comparing forecasted volumes for the opening year with the observed ones in the years after the urban railway construction in the metropolitan areas. The result shows that the average inaccuracy of traffic volumes for each station was estimated at around 7.27. Based on the confirmed factors of demand estimation errors, this study seeks for an alternative method to reduce estimation errors in feasibility studies. It is noted that there is a tendency that the inaccuracy varies by regions and the longer construction period or the shorter station spacing is, the overestimation increases. If urban railway projects are proceeded as planed, therefore, the level of the inaccuracy for traffic volume forecast will be decreased. In addition, thanks to the theoretical progress, recent estimation results show higher accuracy than before. In that sense, when we introduce the new railway line, it is necessary to make an accurate and realistic demand forecast based on actual outcomes and tendency of the previous estimation. The limitation of our study is that we only cover the errors of the initial period, the opening year and deal with the exogenous variables. Further research including other variables which might be considered to cause overestimation or errors would be needed for increasing the estimation accuracy of traffic volumes.

Modelling the Subway Demand Estimation by Station Using the Multiple Regression Analysis by Category (카테고리별 다중회귀분석 방법을 이용한 지하철역별 수요 추정 모형 개발)

  • Shon, Eui-Young;Kwon, Byoung-Woo;Lee, Man-Ho
    • Journal of Korean Society of Transportation
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    • v.22 no.1 s.72
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    • pp.33-42
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    • 2004
  • 지하철역별 수요는 개통 후 경과 연도에 따라서 S자 형태로 증가한다. 즉 개통 초기에는 잠재되어 있던 지하철 수요가 시간의 경과에 따라 계속적으로 증가하다가, 개통 후 10$\sim$13년 정도가 경과하면 최대를 나타낸 후 거의 정체하는 현상을 보인다. 그러나 지금까지 지하철 수요를 추정하기 위해서 이용되었던 4단계 모형은 이러한 지하철 수요의 증가 추세를 반영할 수 없기 때문에 실제 수요와 많은 차이를 보였다. 따라서 본 연구에서는 이러한 문제를 해결해 보고자 서울시 지하철 2$\sim$8호선의 실제 수요를 토대로 지하철역별 수요, 특히 순수한 승차인원을 추정하는 모형을 개발하였다. 모형에 적용되는 함수식은 실제 지하철역별 수요와 가장 유사한 형태를 보이고 있는 로지스틱 함수식을 이용하였다. 또한 각각의 지하철역별로 나타나는 상이한 특성은 카테고리로 분류하여 모형에 반영하였다. 카테고리는 토지이용도, 사회경제활동의 규모, 그리고 지하철역의 특성에 따라 분류하였다. 각 카테고리별 특성을 대표하는 독립 변수로 인구 종사자수, 학생수와 개통 후 경과 연도 등을 선정하였다. 그 결과 카테고리별로 추정된 지하철역별 수요는 통계적으로 매우 유의한 것으로 나타났다. 본 연구는 지하철역별로 승차하는 순수한 수요를 보다 정확하게 추정하기 위한 모형을 개발하는 것이 주된 목적이다. 반면에 본 모형을 이용하여 지하철역별 하차 수요 및 횐승 수요를 추정하는 것은 어렵다. 따라서 기존에 지하철 수요를 추정하는 데에 가장 많이 사용된 4단계 모형과 접목하여야 하며, 이에 대한 방안도 본 연구에서 제시하였다.

A Study on the Accuracy of Traffic Demand Forecasting in National Highway (일반국도의 교통수요 예측 정확도 연구)

  • Jeon, Woo-Hoon;Lim, Kang-Won;Cho, Hye-Jin
    • International Journal of Highway Engineering
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    • v.12 no.4
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    • pp.61-70
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    • 2010
  • The purpose of this study is to analyze the accuracy of traffic volume forecast by comparing an estimated to real traffic volume. For this study, total 10 sections of national highways, which are planned in 1980s and 1990s, were selected and traffic analysis data for highway construction were collected. In addition, targeted 10 sections were categorized into network-related and -unrelated sections. In the analysis of inaccuracy between the estimated and real traffic, for network-related sections, appeared to have lower inaccuracy. As time goes on after traffic open, inaccuracy between the estimated and real traffic appeared to be lower. In various section lengths, the longer the section length, the higher the inaccuracy is. Using 3 years passed data after traffic open, national highway have lower inaccuracy than expressway. However, the traffic analysis according to traffic open time resulted in little change of the inaccuracy.

The Estimate of the Urban Development Effects of the Subway Construction using GIS (GIS를 이용한 지하철 건설의 도시개발 효과 분석)

  • Kim, Jae-Ik;Chung, Jae-Heui;Chung, Hyun-Wook
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.4
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    • pp.22-32
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    • 2000
  • The improvement of transportation condition is known to be a main source of regional development. This paper aims to estimate the development effects of the subway construction on commercial buildings in suburban area. For this purpose, it examines using GIS how many commercial buildings were registered around surface of subway line and stations after the publicity of subway construction plan in Taegu city. The main findings are follows; Firstly, there is a strong development tendency of commercial building which aims at time of starting and completion of subway construction. Secondly, development effects are stronger in front raw of the corridor than in the rear side of the raw. Thirdly, development types are different station by station.

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Development of IoT-Based Disaster Information Providing Smart Platform for Traffic Safety of Sea-Crossing Bridges (해상교량 통행안전을 위한 IoT 기반 재난 정보 제공 스마트 플랫폼 개발)

  • Sangki Park;Jaehwan Kim;Dong-Woo Seo
    • Journal of Korean Society of Disaster and Security
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    • v.16 no.1
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    • pp.105-113
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    • 2023
  • Jeollanam-do has 25 land-to-island and island-to-island bridges, the largest number in Korea. It is a local government rich in specialized marine and tourism resources centered on the archipelago and the sea bridges connecting them. However, in the case of sea-crossing bridges, when strong winds or typhoons occur, there is an issue that increases anxiety among users and local residents due to excessive vibration of the bridge, apart from structural safety of the bridge. In fact, in the case of Cheonsa Bridge in Shinan-gun, which was recently opened in 2019, vehicle traffic restrictions due to strong winds and excessive vibrations frequently occurred, resulting in complaints from local residents and drivers due to increased anxiety. Therefore, based on the data measured using IoT measurement technology, it is possible to relieve local residents' anxiety about the safety management of marine bridges by providing quantitative and accurate bridge vibration levels related to traffic and wind conditions of bridges in real time to local residents. This study uses the existing measurement system and IoT sensor to constantly observe the wind speed and vibration of the marine bridge, and transmits it to local residents and managers to relieve anxiety about the safety and traffic of the sea-crossing bridge, and strong winds and to develop technologies capable of preemptively responding to large-scale disasters.