Malgorzata Gorazcek: Using Fuzzy Cognitive Maps as Decision Support Tool for Smart Cities – Application in Smart Mobility
This project is about engaging citizens via social media feedback and open data for smart city concepts. Some cities are more developed than other cities in the area, which is one of the challenges of the project. In a first step, cases are developed on the basis of fuzzy cognitive maps, which will be the basis for data driven decision support tools. The next step will be decisions about algorithms. Fuzzy cognitive maps are a concept of decision making.
Leonidas Anthopoulos and George Giannakid: The case of InSmart in the city of Trikala, Greece
In the smart city context several challenges have been defined, and a smart city is emerging as a new market. Findings from the last years show that there are different policy directions. Energy efficiency has to do with productivity. Within this energy system im a city we have consumers and suppliers. Nottingham, Cesena, Evora and Trikala are the cities taking part in the project. One of the objectives is to structure a model that can map local energy demand sources and to calculate existing energy effieciency. Several 2030 scenarios are siulated using local policies.
Sofia Shwayri: From using infrastructure to its modification: The development of Seoul’s e‐Governance model
The research question in this project is how Seoul’s e-governance process has been shaped by the development of its ICT infrastructure, and in turn enabling the emergence of a new form of “smart” city? One of the key issues has been gaining citizens’ trust. Like in other areas, there has been a paradigm shift in governance from the 90ies.
The use of big data is interesting for the Seoul government. One of the example is the implementation in the night “owl” bus. For 2020 the government aims to implement f.i. CCTV or free public Wifi across Seoul.
Ji‐In Chang, Yea Sung Kim, Aei Jung Song and Joo Hyun Park: Differing vision of the smart city in Korea
This presentation compared there smart cities. The world is getting more urban. The Korean government has built ubiquitous cities (u-cities), with the most famous apart from Seoul Songdo. Recently there is also Sejong. As a very technologically oriented and government driven and hierarchical country, and the national government took a cue from Seoul. In the case of the u-city, U-Seoul improved the delivery of service such as transportation and safety. The Seoul wifi network covers about 40% of the city.
Myojung Chung and T. Makana Chock: Health risk communication in the digital area
Health risk communication is about communicating risks and changing people’s attitudes or behaviour to follow the recommendations. But how to make these messages more effective? Effective health messages have been mainly made in the traditional media context.
Social media is an important channel for health risk communication. Do people perceive health risk messages differently depending on the message context? I am more likely to accept a message in a high risk setting. According to the EPPM (Extended Parallel Process Model), the threat has to be perceived low enough that they can follow the recommendations. Based on an experiment with college students, in group members, Facebook is the most effective. Studies like this are important for the strategic use of message contexts, e.g. by governments.