Abstract: The coastal zone is located in the interaction area between land and sea. Its unique geographical, geological and environmental conditions lead to the frequent occurrence of geological disasters, which are high liability and risk. Considering the important economic and social attributes of the coastal zone, it is very important to carry out a geohazard risk assessment in the coastal zone. In this paper, the geohazard risk assessment model based on fuzzy Bayesian network is established and combined with the Analytic Network Process(ANP), to determine the conditional probability of fuzzy Bayesian network and simplify the Bayesian network structure. On this basis, the coastal zone in the eastern part of the Liaodong peninsula is employed as the study area. Five main types of geohazards including rockfall, landslide, ground subsidence, seawater intrusion and coastal erosion are selected as evaluation objects. Further, the susceptibility evaluation, hazard assessment and risk assessment of geohazards based on the fuzzy Bayesian network model coupling with ANP are carried out. The comprehensive geohazard risk assessment map is also achieved. The results show that the southwestern coastal zone of the study area is the highest or higher risk area. The zone has an area of 249km² and 9.1% of the total area. The research results can provide an important reference for land and resources development, economic construction planning, disaster prevention and mitigation in the coastal zone, and also have certain reference significance for the risk assessment of geohazards in coastal zones of similar areas.