During an emergency, information on the emergency is important to egress safely from buildings and to conduct rescue operations quickly. Nowadays, almost everyone has mobile phones and they communicate each other using social network (SNS). In this paper, we propose three types of communication model: broadcast, face to face (word of mouth), and SNS and demonstrate differences of evacuation effects.

There is social needs to know the activity type of tourists who visit to the large tourism destinations such as Kyoto. For destination management organizations (DMO), tourists classification of activity type is useful for optimal arrangement of visitor information boards, development of scenic routes, evacuation guidance and congestion mitigation. Also, DMOs can compare own itself to othter destinations by using the activity types. However, tourists classification based on the tourists activities is not studied enoughly. Therefore, we should investigate the factor of tourists activities to make a hypothesis of type classification. In this paper, we analyse the tourists' activities in large tourism destination area by transition network generated from the tourists GPS trajectories.

In order to improve the ability of decision making under uncertain situations during a large-scale disaster, more efficient and effective disaster response exercises are necessary. For this purpose, we developed a method to make earthquake damage scenarios semi-automatically by computer so that exercise designers can make effective exercise scenarios with a great variety without taking much time and effort. In this research, we, taking disaster nursing as an example domain, firstly made "earthquake damage model" by extracting earthquake-related elements from the reports and materials of past disasters and exercises regarding disaster nursing. Then we made "earthquake damage instance" in consideration of consistency between these elements, and finally created "earthquake damage scenario" as a text. We asked for several nurses to evaluate the prototype and obtained positive feedbacks as well as future directions to a practical application.

Many researchers launch the research in preparation using a network and information technology for the following large-scale disaster after the Great East Japan Earthquake. However, a network cannot be used immediately after at the time of a disaster. When a disaster breaks out in a strange place, it cause someone to panic and people cannot immediately cope with the situation. Furthermore, it is difficult to use an evacuation support system suddenly at the time of a disaster. Therefore, we have developed an evacuation support system, named AkariMap. AkariMap is a system for using daily, and can experience the function at the time of a disaster. We developed two new functions: the notice function which notifies a user of the refuge support information of the user's present location, and the disaster mode which can experience at the time of a disaster, From the result of the experiment, we found the followings. (1) The notice function serves as the trigger for a user to be conscious of refuge support information. (2) The disaster mode can present information required for refuge support.