The aim of this study is to propose a new quantitative evaluation method for Nuclear Safety Culture (NSC) in Nuclear Power Plant (NPP) operation teams based on the probabilistic approach. Various NSC evaluation methods have been developed, and the Korea NPP utility company has conducted the NSC assessment according to international practice. However, most of methods are conducted by interviews, observations, and the self-assessment. Consequently, the results are often qualitative, subjective, and mainly dependent on evaluator's judgement, so the assessment results can be interpreted from different perspectives. To resolve limitations of present evaluation methods, the concept of Safety Culture Healthiness was suggested to produce quantitative results and provide faster evaluation process. This paper presents Probabilistic Safety Culture Healthiness Evaluation Method (Pro-SCHEMe) to generate quantitative inputs for Human Reliability Assessment (HRA) in Probabilistic Safety Assessment (PSA). Evaluation items which correspond to a basic event in PSA are derived in the first part of the paper through the literature survey; mostly from nuclear-related organizations such as the International Atomic Energy Agency (IAEA), the United States Nuclear Regulatory Commission (U.S.NRC), and the Institute of Nuclear Power Operations (INFO). Event trees (ETs) and fault trees (FTs) are devised to apply evaluation items to PSA based on the relationships among such items. The Modeling Guidelines are also suggested to classify and calculate NSC characteristics of respective NPPs. Probability of the fault tree top event, namely safety culture healthiness, is automatically calculated to determine the state of NSC healthiness of operation teams. Validation of the suggested method performed by case studies using training video of NPP operators. According to the validation results, a positive relationship between 'success' states of safety culture and human performance was found, the safety culture state probability profile of each team represents the team characteristic, and the cut-set analysis of the proposed method provides not only the root causes but also the latent causes of failure. Pro-SCHEMe showed possibility to apply NSC to NPP system safety analysis judging by the results of the case study. Further case studies will be conducted to meet the statistical requirement of the results. (C) 2017 Elsevier Ltd. All rights reserved.