Civil Infrastructure Management Subarea
Today, a half-century subsequent to the era of accelerated economic growth—when civil infrastructure was robustly developed—Japan faces emerging challenges, such as the ageing of civil infrastructure and potential natural disasters. Within this sphere, our focus lies in addressing the managerial problem of effectively operating and maintaining the existing civil infrastructure to mitigate these issues. Our approach is characterized by two primary research themes. The first theme addresses the engineering predicament of predicting civil infrastructure deterioration, for which we are developing predictive models using data science, encompassing mathematical statistics and the principles of artificial intelligence. The second theme pertains to the economic challenge of optimal budget allocation under constraints, tackled through the application of econometrics to resolve this optimization issue.
In recent years, we have also begun to explore broader research like Digital Transformation (DX) technology—integrating data across multiple fields to augment decision-making processes—and Evidence-Based Policy Making (EBPM), which is used to devise management strategies grounded in scientific evidence.
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