scholarly journals A Recommendation System Regarding Meeting Places for Groups during Events

2018 ◽  
Vol 7 (8) ◽  
pp. 296
Author(s):  
Shota Asukai ◽  
Kayoko Yamamoto
Keyword(s):  
Social Networking ◽  
Metropolitan Area ◽  
Questionnaire Survey ◽  
Recommendation System ◽  
Google Maps ◽  
Social Networking Services ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area ◽  
Web Questionnaire ◽  
The Web

The present study aimed to design, develop, operate, and evaluate a recommendation system for meeting places targeting groups of two or more people during events. The system was designed and developed by integrating an accessibility database, as well as a recommendation system, and linking with Google Maps and social networking services (SNSs, Twitter and LINE). Additionally, the system was operated for 5 weeks with people mainly in the Tokyo metropolitan area, with Japan as the target, and the total number of users was 59. Based on the results of the web questionnaire survey, it was made evident that the system is useful for groups when meeting up, and the entry function for the nearest station to one’s home, as well as the recommendation function for meet-up stations, which was the original functions of the system, received generally good reviews. From the results of access analysis of the users’ log data, it was made evident that the system was used regardless of the type of device, just as the system was designed for, and that the system was used in harmony with the aim of the present study, which is to recommend meet-up stations for groups.

scholarly journals A Sightseeing Spot Recommendation System That Takes into Account the Visiting Frequency of Users

2020 ◽  
Vol 9 (7) ◽  
pp. 411
Author(s):  
Yudai Kato ◽  
Kayoko Yamamoto
Keyword(s):  
Social Networking ◽  
Recommendation System ◽  
Original Function ◽  
Social Networking Services ◽  
Knowledge Based ◽  
Collaborative Recommendation ◽  
Different Types ◽  
Kanagawa Prefecture ◽  
Web Questionnaire ◽  
The Web

The present study aimed to design, develop, operate and evaluate a sightseeing spot recommendation system that can efficiently and usefully support tourists while considering their visiting frequencies. This system was developed by integrating social networking services (SNSs), Web-geographic information systems (GIS) and recommendation systems. The system recommends sightseeing spots to users with different visiting frequencies, adopting two recommendation methods (knowledge-based recommendation and collaborative recommendation methods). Additionally, the system was operated for six weeks in Kamakura City, Kanagawa Prefecture, Japan, and the total number of users was 61. Based on the results of the web questionnaire survey, the usefulness of the system when sightseeing was high, and the recommendation function of sightseeing spots, which is an original function, received mainly good ratings. From the results of the access analysis of users’ log data, the total number of sessions in this system was 329, 77% used mobile devices, and smartphones were used most frequently. Therefore, it is evident that the system was used by different types of devices just as it was designed for, and that the system was used according to the purpose of the present study, which is to support the sightseeing activities of users.

scholarly journals BROADBAND STRONG MOTION SIMULATION OF THE GREAT 1923 KANTO EARTHQUAKE IN THE TOKYO METROPOLITAN AREA

2007 ◽  
Vol 13 (26) ◽  
pp. 447-450 ◽  
Author(s):  
Shinichi MATSUSHIMA ◽  
Motofumi WATANABE ◽  
Kazuo DAN ◽  
Toshiaki SATO ◽  
Jun'ichi MIYAKOSHI
Keyword(s):  
Metropolitan Area ◽  
Strong Motion ◽  
Motion Simulation ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area ◽  
Kanto Earthquake ◽  
Strong Motion Simulation

Urbanization of the Tokyo metropolitan area and its thermal condition using LANDSAT MSS and NOAA-6/AVHRR data

1983 ◽  
Vol 2 (8) ◽  
pp. 179-182
Author(s):  
T. Sakai ◽  
K. Seya ◽  
H. Nishikawa ◽  
M. Tsubomatsu ◽  
S. Tanaka ◽  
...  
Keyword(s):  
Metropolitan Area ◽  
Thermal Condition ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area ◽  
Avhrr Data

Urban environmental design of land use in Tokyo metropolitan area

1990 ◽  
Vol 15 (1-2) ◽  
pp. 133-137 ◽  
Author(s):  
Hironori Watanabe ◽  
Hirotoshi Yoda ◽  
Toshio Ojima
Keyword(s):  
Land Use ◽  
Metropolitan Area ◽  
Environmental Design ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area

scholarly journals Characterizing Risk Communication and Awareness for Sustainable Society: The Case of Foreign Residents in the Tokyo Metropolitan Area of Japan

2021 ◽  
Vol 13 (11) ◽  
pp. 5786
Author(s):  
Bismark Adu-Gyamfi ◽  
Rajib Shaw
Keyword(s):  
Risk Communication ◽  
Metropolitan Area ◽  
Disaster Preparedness ◽  
Primary Data ◽  
Disaster Prevention ◽  
Sustainable Society ◽  
Vulnerable Group ◽  
Tokyo Metropolitan ◽  
Tokyo Metropolitan Area ◽  
The World

Many disasters occur in Japan, and therefore many initiatives to educate and integrate foreign residents into its society to overcome systematic barriers and enhance disaster preparedness have been implemented. Nevertheless, studies have highlighted foreign residents as a vulnerable group who are at risk of disasters in the country. The country anticipates and prepares for potential mega-disasters in the future; therefore, effective risk communication is vital to creating the required awareness and preparation. Therefore, this study looked at the changing foreigner–Japanese population mix in the Tokyo Metropolitan Area to ascertain its level of diversity and risk communication characteristics. It used secondary and primary data to analyze how heterogeneity among foreigners translates into a different understanding of their awareness. The study reveals that the 23 special wards within the Tokyo Metropolitan area can be compared to other recognized diverse cities in the world, with Shinjuku city, Minato city, Arakawa, and Taito cities being the most heterogeneous cities in Tokyo. Nevertheless, diversity within foreign residents creates diversity in information-gathering preferences, disaster drill participation preferences, and the overall knowledge in disaster prevention. The study suggests the use of these preferences as a tool to promote targeted risk communication mechanisms.

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