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Title Safe City: A Study of Channels for Public Warnings for Emergency Communication in Finland, Germany, and Greece
ID_Doc 39945
Authors Yli-Kauhaluoma, S; Statheropoulos, M; Zygmanowski, A; Anttalainen, O; Hakulinen, H; Kontogianni, MT; Kuula, M; Pernaa, J; Vanninen, P
Title Safe City: A Study of Channels for Public Warnings for Emergency Communication in Finland, Germany, and Greece
Year 2023
Published Multimodal Technologies And Interaction, 7, 10
DOI 10.3390/mti7100094
Abstract Public warning systems are an essential element of safe cities. However, the functionality of neither traditional nor digital emergency warnings is understood well enough from the perspective of citizens. This study examines smart city development from the perspective of safety by exploring citizens' viewpoints. It investigates people's perceptions of the ways in which they obtain warnings and information about emergencies involving health risks. Data were collected in the form of focus group interviews and semi-structured interviews in Finland, Germany, and Greece. The results suggest that people place a lot of trust in their social network, receiving text messages, and their ability to use web-based search engines in order to obtain public warnings. The study discusses the challenges identified by citizens in the use of conventional radio and television transmissions and sirens for public warnings. Based on the results, citizens demonstrate informed ignorance about existing mobile emergency applications. Our results imply that it is not sufficient to build emergency communication infrastructure: the development of smart, safe cities requires continuous work and the integration of both hard and soft infrastructure-oriented strategies, i.e., technological infrastructure development including digitalisation and education, advancement of knowledge, and participation of people. Both strategic aspects are essential to enable people to take advantage of novel digital applications in emergency situations.
Author Keywords safe city; smart city; public warnings; emergency communication channels; mobile emergency applications
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:001093709200001
WoS Category Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Computer Science, Information Systems
Research Area Computer Science
PDF https://www.mdpi.com/2414-4088/7/10/94/pdf?version=1696915929
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