In academic world, specialization has been progressed and integration has been weak- ened. Members of Science Council of Japan (SCJ) and 47 academic societies (later 55) established “Japan Academic Network for Disaster Reduction(JANET-DR)” which covers social sciences, life sciences, natural sciences and engineering. JANET-DR works well for promoting interdisciplinary collaboration and social implementation of research, for the 2016 Kumamoto earthquake. JANET- DR suggests a new connection with academic association.“Transdisciplinary Federation of Science and Technology” is a great leader in integration of specialties and expected for contributing disaster reduction.

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The purpose of this article is to overview the current state of rivalry between a variety of knowledges on disaster prevention and confirm the profound connotation of ‘the third knowledge,’ namely, ‘mediating knowledge/alternative knowledge,’ emerging from the above rivalry. This article considers, in effect, the possibility and subject for the future analysis of cooperation of art and science from a sociological point of view.

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After 3.11 Earthquake and Tsumani Disaster, for 5 years, we have been observing and image-recording the reconstructions of land-defense as the recovery processes at the disaster places. They are planned as the National Land Resilience Plan. In this plan software-resilience has been emphasized along with the hardware reconstruction of great seawalls. We discuss the role of the software resilience as the disaster reduction manner from the view of our hardware reconstruction records, and the coordination of the software-hardware cooperative defenses. Then, we emphasize the system of systems approach for the planning and realizing the disaster-free societies by suitably combining the software and hardware resiliences.

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This document describes the Social Capital in the Post-Disaster Society. It is insisted that the social capital is important for reconstruction and resilience of the disaster-affected area. Though the social capital is better in the rural area than in Tokyo, lots of people come out to Tokyo from rural areas. This paper considers the reason.

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This paper aimed to evaluate the disaster countermeasures from the viewpoint of plan- ning science, mainly targeted at the Kumamoto Earthquake. This paper firstly introduced disaster countermeasures of affected local governments within Kumamoto Prefecture. Next, by narrowing the focus on the disaster countermeasures concerning the intangible side of things, this paper eval- uate three points including (1) issues concerning the assumption of disaster countermeasures, (2) issues concerning the Business Continuity Plan (BCP) of both government and private corporations, the District Continuity Plan (DCP) concerning local communities, the Community Continuity Plan (CCP) concerning local communities, and (3) issues concerning disaster countermeasures besides the two issues mentioned above. Based on the discussion results, it was pointed out that the disaster countermeasures assuming complex continuous disasters should be considered.

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A small town, Otsuchi, located at the coastal area in Iwate prefecture was completely damaged by the Tsunami on March 11, 2011. Taking two issues as examples, author tries to reveal the difficulties of decision making process of reconstruction planning. One is the results of land readjustment project at Machikata area where only a half of planned residents will come back. The other is the preservation of former town office as a remain which tells how severe is the Tsunami damage. It is our responsibility to hand on these knowledges by reviewing these experiences in order to utilize them for the expected future disasters.

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From April of 2011, we have been continuing to obtain video records of 3.11 Large Earthquake and Tsunami disasters at Tohoku coastal areas in Japan. We install 360 °directional camera on a special car, and are visiting same areas at every one or two months, and obtained detail images at every 1m to 2m step on streets. Total amount of image data up to now, for six year activity, becomes more than 150 million 360 °scenes of 100 Tera Bytes. We construct a video archive for recording the real detail damages of towns, industrial areas, and agricultural lands. The main purpose of this activity is to visualize the process of reconstruction and long term recovery from the disaster. By those image sets, employing the computer vision techniques, we have been studying the spatial modelling of the temporal changes of city structure by the disaster and the afterward recovery process. They are summarized in this paper. One of additional role of our detail spatial and temporal observation on surface is to bridge between wide and global satellite or aerial observations and real local human lives. The combination of those observations with different spatial and temporal resolution and different view-points is important to estimate the effectiveness of the recovery from the serious disaster.

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After catastrophic disaster, it is expected that serious housing shortage is going to occur and many victims migrate to around of all Japan in order to move in private rental housing-turned- temporary housing. In order to examine politics effects, we construct a simulation and estimate the number of migrant households in this paper. This simulation uses the three kind of parameters, the number of victims, housings, and victim’s demand. The number of victims and housings can be calculated from the government statistics. The victim’s demand was calculated from the result of questionnaire research, based on multinomial logit model.

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This article discusses how to assess disaster risks by using grid square statistics regarding socioeconomic data and natural hazard data. The risk is defined as multiplication among socioeco- nomic values, hazard, and vulnerability and depends on regions. This article shows how to create grid square data for anticipated inundation water height from polygon data provided from Ministry of Land, Infrastructure, Transport, and Tourism. Comparative analysis of seismic risk, tsunami risk, and inundation risk is considered. It is concluded that integrated analysis of natural hazard and socioeco- nomic values based on grid square data may enable us to improve preparedness for natural disasters in our usual life.

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In order to mitigate natural disasters, it is important that an individual can access infor- mation about various hazards causing natural disasters or hazard maps issued by local governments, various warnings announced by Japan Meteorological Agency and evacuation related information announced by local governments, and emergency evacuation areas designated by local governments. This is especially important for non-structural measures to be effective and influences the individ- ual’s ability to decide whether his/her location is safe or not, and evacuate to safer locations if the current location is unsafe. In this article, we evaluate usefulness of those information provided for non-structural measures by applying the concept of “information quality” and consider possibilities and problems of applications for disaster mitigation. We also introduce a prototype web applica- tion named “hazard checker” which shows users hazard information, meteorological information and nearby designated emergency evacuation areas based on the users’ current location. The feature is available at any location in Japan.

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This study aimed to compare and clarify the factors which enhance capabilities of project managers in different stages of career development. Multi‐group analysis of covariance structure modeling were conducted by executing questionnaire survey among three groups of project managers in different career levels: entry-level, mid-level, and senior-level. The research reached the following conclusions. The behavior characteristics of mid-level project managers were influenced by experi- ences of being praised. The behaviors characteristics of senior level project managers were influenced by experiences of challenging work environments. These three groups were heavily influenced by executing experimental learning. The behavior characteristics of these three groups were influenced by experiences of challenging work environments and interacting with people outside workplaces through executing experimental learning.

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