Graduate School of Engineering > Division of Global Architecture > Social System Engineering Area
Professor ARAKI Susumu
Assistant Professor SASAKI Yuya

Land Development and Management Engineering Subarea is commonly called as Coastal Engineering Laboratory. Aiming at harmonization of development and environmental conservation, we are tackling various coastal problems such as coastal protection against beach erosion, tsunami and storm surge, optimal design of port facilities, preservation of shallow waters, coastal dunes, etc. through field observation, model experiments, and computer simulations.

Professor IRIE Masayasu
Assiociate Professor NAKATANI Yusuke

This laboratory is dedicated to wide range of research on hydraulics and water environment. Our researches have centered on computational fluid dynamics and environmental analysis by field observation. Currently, our primary interest is to analyze and simulate bio-geochemical processes and nutrient cycles in urban tidal rivers, estuaries, coastal seas, lakes and watersheds.

Transportation and Spatial Planning Subarea

Professor DOI Kenji
Associate Professor IIDA Katsuhiro
Assistant Professor YOH Kento

We have been investigating integrated transportation systems and community building suitable for a future society.
1.Visioning sustainable transport, by evaluating effect of assist-system for sustainability of urban transport and transportation planning system with on slow mobility
2.Solving traffic congestion and accidents on a highway , by analysis of the cause which traffic congestion using a driving simulator
3.Ensuring Mobility in Daily Living by Local public transport collaborated with the resident and Special transport service for impaired and elderly people.

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.