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Development of a Prototype Web GIS-Based Disaster Management System for Safe Operation of the Next Generation Bimodal Tram, South Korea—Focused Flooding and Snowfall

Author

Listed:
  • Won Seok Jang

    (Department of Agricultural & Biological Engineering, Purdue University, West Lafayette, IN 47907, USA)

  • Jonggun Kim

    (Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843, USA)

  • Bernard A. Engel

    (Department of Agricultural & Biological Engineering, Purdue University, West Lafayette, IN 47907, USA)

  • Sung Won Kang

    (Construction Environment Research Division, Korea Institute of Construction Technology, Goyang, Kyounggi 411-712, South Korea)

  • Youngkon Park

    (Division of Bimodal Transportation Research, Korea Railroad Research Institute, UiWang, Kyounggi 437-757, South Korea)

  • Heetaek Yoon

    (Division of Bimodal Transportation Research, Korea Railroad Research Institute, UiWang, Kyounggi 437-757, South Korea)

  • Kyoung Jae Lim

    (Department of Regional Infrastructures Engineering, Kangwon National University, Chuncheon, Gangwon 200-701, South Korea)

  • Younghun Jung

    (Department of Regional Infrastructures Engineering, Kangwon National University, Chuncheon, Gangwon 200-701, South Korea)

  • Yongchul Shin

    (Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843, USA)

Abstract

The Korea Railroad Research Institute (KRRI) has developed a bimodal tram and advanced bus rapid transit (BRT) system which is an optimized public transit system created by mixing the railway’s punctual operation and the bus’ easy and convenient access. The bimodal tram system provides mass-transportation service with an eco-friendly and human-centered approach. Natural disasters have been increasing worldwide in recent years, including floods, snow, and typhoons disasters. Flooding is the most frequent natural disaster in many countries and is increasingly a concern with climate change; it seriously affects people’s lives and productivity, causing considerable economic loss and significant damage. Enhanced conventional disaster management systems are needed to support comprehensive actions to secure safety and convenience. The objective of this study is to develop a prototype version of a Web GIS-based bimodal tram disaster management system (BTDMS) using the Storm Water Management Model (SWMM) 5.0 to enhance on-time operation and safety of the bimodal tram system. The BTDMS was tested at the bimodal tram test railroad by simulating probable maximum flood (PMF) and snow melting for forecasting flooding and snow covered roads. This result could provide the basis for plans to protect against flooding disasters and snow covered roads in operating the bimodal tram system. The BTDMS will be used to assess and predict weather impacts on roadway conditions and operations and thus has the potential to influence economic growth. The methodology presented in this paper makes it possible to manage impacts of flooding and snowfall on urban transportation and enhance operation of the bimodal tram system. Such a methodology based on modeling could be created for most metropolitan areas in Korea and in many other countries.

Suggested Citation

  • Won Seok Jang & Jonggun Kim & Bernard A. Engel & Sung Won Kang & Youngkon Park & Heetaek Yoon & Kyoung Jae Lim & Younghun Jung & Yongchul Shin, 2014. "Development of a Prototype Web GIS-Based Disaster Management System for Safe Operation of the Next Generation Bimodal Tram, South Korea—Focused Flooding and Snowfall," Sustainability, MDPI, vol. 6(4), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:6:y:2014:i:4:p:1776-1795:d:34770
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    References listed on IDEAS

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    Cited by:

    1. Beixuan Dong & Shiqi Ding & Lingzi Wu & Xinming Li, 2025. "Short-term natural disaster impacts on transportation infrastructure: a systematic review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(15), pages 17321-17362, August.

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