In the call of the World Data Viz Challenge 2020 Barcelona-Kobe held in parallel with Barcelona in the Japanese city of Kobe, the jury of the Japanese city awarded the
to the visualization
Visualizing City Parks
Authors: Junki Tougo (Strategy consultant at Roland Berger Tokyo, specialized in consumer behavior analysis), Yume Iwamoto (Undergraduate student at Doshisha University, majoring in social psychology) and Noriaki Sekihara (Undergraduate student at Kobe University, majoring in system informatics).
Description: This dataviz, aligned with Goal 3 about Health and Well-being of the Sustainable Development Goals (SDGs) aims to encourage Kobe citizens to go more to the parks. By collecting information, such as common habits and activities that are practiced, along with atmospheric conditions, the project wants to offer visitors information in real time about the activities they can do and how they can use different spaces in the park thanks to a system of illumination.
and the
to the project
ZER -Zero Energy Refuse collection and disposal system-
Authors: Tomoki Ichimura (Tokyo Institute of Technology), Yoshiki Tanaka (Kobe University), Ayame Tashiro (Hyogo Prefectural Hyogo High School) and Saki Okamoto (The University of Tokyo).
Description: For a more sustainable society and a safe and hygienic urban environment, "ZER" aims to achieve a zero waste cycle in the city and is part of the Goal 11 about Sustainable Cities and Communities of the Sustainable Development Goals (SDGs). This data visualization demonstrates the ZER effect using Kobe promoted hydrogen technology and a simulation in a real waste collection area.
The following visualizations, listed in alphabetical order, were also recognized by the jury as finalists of the Japanese city call.
Data Visualization for Urban Area Management utilizing ICT
Authors: Yoshiyasu Suzuki, Yushi Yoshida and Mariko Doi from Nikken Sekkei Research Institute
Description: This dataviz studies the distribution of stores in the underground mall “Santica” located in the center of the Sannomiya district in Kobe City using technologies such as AI and IoT. Based on the simulation of visitors and their movements around the mall, this dataviz aims to increase visits to the mall and sales by reorganizing the shops according to consumers’ behaviour.
Development of a general-purpose automated coaching system
Authors: Yugo Okamoto, Ryo Kishimoto, Sakuya Jintani and Shohei Tsuda from Kobe Municipal High School of Science and Technology, Department of Science.
Description: Due to the pandemic, there has been an increased need for practising sports in smaller groups. Therefore, it is expected that this will lead to an increase for coaching systems that use location information to offer personalized remote training. This dataviz shows location information using Apple Watch and can be used as a more economical training tool in the COVID-19 context.
Work together to get the Self-actualization
Authors: Asumi Maeda (Hyogo High School, Department of Creative Science), Ami Sugiura (Kobe University), Mizuka Saitou (Japan International Cooperation Agency/Senior Project Officer) and Makoto Son (Graduate School of System Informatics, Kobe University).
Description: Online communication is gaining ground in recent years and especially now due to the pandemic. This dataviz aims to integrate online and offline interaction by connecting older people with younger people to create a community in which people who have common goals work together to help each other.
