Research on explorative learning has primarily focused on the organizational level. Not much research has been done at the megaproject level, which is a more complex form of organizing. Therefore, it is advisable to analyze how the pursuit of explorative learning is enabled at the megaproject level. This research draws upon the case study of the Hong Kong-Zhuhai-Macao Bridge (HZMB)—a cross-sea link construction project—to study how explorative learning was achieved and sustained. The findings from archival documents, interviews, and focus group discussions indicate that megaprojects are more likely to increase in complexity but might bring value via more significant learning opportunities. Explorative learning is enacted through the complementary use of owner leadership, collaboration, external resources, and experiments. This research adds to our knowledge of how explorative learning works in practice and highlights its significance in the context of megaprojects.

The high uncertainty of megaproject results in increasing complexity in the decisionmaking and ultimately leads to different degrees of cost overrun and project delays. One of the critical reasons for cost overrun and delay is the optimism bias of decision makers. Although the previous literature has analyzed the cost overrun distribution of bridges, roads and other infrastructure projects, there is still a lack of research on how to make more reasonable decisions according to the cost overrun risk and cost-benefit theory by considering the expectation of cost overrun. Therefore, this paper firstly measures optimism bias by conducting the field research and interviews regarding over 30 long bridges in China. On the basis of the optimism bias measure, a decision-making risk model of bridge projects with the expectation of cost overrun has been built. Then the paper takes Hangzhou Bay Bridge as an example to discuss the influence of cost overrun predication, implicit benefits and the project's operation time on NPV results. Moreover, the probability of project unbuildability risk under different degrees of cost optimism bias has also been discussed. Finally, suggestions for risk forecast are provided for decision-makers to make more objective and comprehensive judgments.