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社会リスク・防災研究

ラム研究室 LAM Laboratory
准教授:ラム チ ユン(LAM Chi Yung)

E-mail:
[研究分野]
社会基盤、防災工学、リスク工学、土木環境システム
[キーワード]
複雑ネットワーク科学、災害、リスク、レジリエンス、分析、シミュレーション、インフラ

研究を始めるのに必要な知識・能力

We welcome students with a good class degree in engineering or science, and interest/experience in numerical analysis, data analysis, network theory, and computers and programming will be advantageous. Good written and oral communication skills in English are also required.

この研究で身につく能力

Students who graduate from our laboratory will acquire knowledge and skills regarding recognizing, assessing and managing the impacts of emerging and systemic risks in society. We are concerned with catastrophes and how their impacts are nonlinearly cascaded, students will then gain understanding of methodologies and integrated analytical techniques underlying the existence of various interdependencies and complexities across our society, especially the elucidation of multidimensional interactions among disaster, infrastructure systems and socioeconomic systems. Students will also be able to develop effective risk management and governance system for risk reduction planning and mitigation, and to develop information system to analyze the existence of multiple risks.

【就職先企業・職種】 公務員、コンサルタント会社、鉄道・運輸・電力・建設・エンジニアリング会社

研究内容

We are conducting research on modeling, analysis, and prediction of risk cascades in infrastructure systems and socioeconomic systems, and mainly in three areas.

1. Risk Cascade Analysis and Prediction

This research area applies statistics and probabilistic models to quantitatively identify the effects of various risk factors and its cascading pathways in infrastructure systems and socioeconomic systems. Complex network modeling and big data analysis approaches are adopted to capture the nonlinear complexity of the interdependencies among multiple causes and multiple results, so as to reveal the causation of catastrophes on how and whether changes in the risk factors propagate to effects.

2. Resilience and Vulnerability Analysis

Resilience refers to the ability to recover from the adverse effects while vulnerability refers to the inability to withstand the adverse effects. This research area applies the resilience and vulnerability concepts in studying the infrastructure systems and socioeconomic systems to topologically reveal the strengths and weaknesses of the systems. Integrated methods are developed to estimate the resilience specifically related to risk factors and to determine the possible vulnerability from the interdependent risk factors in the systems.

3. Resistance to Risks and Disasters

This research area integrates information science with planning and management science to model the short-term and long-term socio-economic impacts of risks and disasters, and to develop an evidence-based decision-making support system for societies with greater resistance to risks and disasters. This research area explains the observed associations and sequences of change mechanisms between risk factors and effects, so it covers the study of prevention, preparedness, protection, mitigation, response, recovery and restore from risks and disasters.

主な研究業績

  1. LAM, C.Y., TAI, K., and CRUZ, A.M. (2021). Topological network and GIS approach to modeling earthquake risk of infrastructure systems: A case study in Japan. Applied Geography. DOI:10.1016/j.apgeog.2021.102392.
  2. LAM, C.Y., and TAI, K. (2020). Network topological approach to modeling accident causations and characteristics: analysis of railway incidents in Japan. Reliability Engineering & System Safety, 193, DOI: 10.1016/j.ress.2019.106626.
  3. LAM, C.Y., and CRUZ, A.M. (2019). Risk analysis for consumer-level utility gas and liquefied petroleum gas incidents using probabilistic network modeling: A case study of gas incidents in Japan. Reliability Engineering & System Safety, 185, 198-212.

研究室の指導方針

Our laboratory emphasizes enhancing students' abilities in conducting advanced research and working success in society. We are motivating students to work hard while enjoying their time in our laboratory.

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