Petr Tučník

Dr. Petr Tučník

orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2016 in International Journal of Ambient Computing and Intelligence
Verified
Journal Article
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Vladimír BurešVladimír Bureš
Vladimír Bureš
PTPetr Tučník
Petr Tučník
PMPeter Mikulecký
Peter Mikulecký
KMKarel Mls
Karel Mls
PBPetr Blecha
Petr Blecha
The ambient intelligence concept provides a vision of society of the future, where people will find themselves in an environment of intelligent and intuitively usable interfaces. The manuscript applies this definition to the specific environment of higher education in the context of the Czech Republic. The existence of the so-called Generation Y and characteristics of included individuals represent the main rationale of this paper. In particular sections of this paper, three visions that focus on intelligent assistance for graduation thesis preparation, smart lecture halls, and smart university campuses are described, and related architectures are depicted. Furthermore, results from a survey evaluating three main aspects - feasibility, willingness to use, and accessibility of technologies - of these visions are presented.

5 October 2022 in Natural Hazards
Verified
Journal Article
Open access
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Karel MlsKarel Mls
Karel Mls
MKMilan Kořínek
Milan Kořínek
KŠKamila Štekerová
Kamila Štekerová
PTPetr Tučník
Petr Tučník
Vladimír BurešVladimír Bureš
Vladimír Bureš
Ioanna TriantafyllouIoanna Triantafyllou
Ioanna Triantafyllou
This systematic review provides a comprehensive overview of tsunami evacuation models. The review covers scientific studies from the last decade (2012–2021) and is explicitly focused on models using an agent-based approach. The PRISMA methodology was used to analyze 171 selected papers, resulting in over 53 studies included in the detailed full-text analysis. This review is divided into two main parts: (1) a descriptive analysis of the presented models (focused on the modeling tools, validation, and software platform used, etc.), and (2) model analysis (e.g., model purpose, types of agents, input and output data, and modeled area). Special attention was given to the features of these models specifically associated with an agent-based approach. The results lead to the conclusion that the research domain of agent-based tsunami evacuation models is quite narrow and specialized, with a high degree of variability in the model attributes and properties. At the same time, the application of agent-specific methodologies, protocols, organizational paradigms, or standards is sparse.

4 September 2014 in E+M Ekonomie a Management
Verified
Journal Article
Open access
Vladimír BurešVladimír Bureš
Vladimír Bureš
PTPetr Tučník
Petr Tučník

13 January 2023 in International Journal of Disaster Risk Reduction
Verified
Journal Article
Open access
PMPeter Mikulecký
Peter Mikulecký
APAnna Punčochářová
Anna Punčochářová
FBFrantišek Babič
František Babič
Vladimír BurešVladimír Bureš
Vladimír Bureš
PČPavel Čech
Pavel Čech
MZMarek Zanker
Marek Zanker

21 April 2021 in Systems
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MZMarek Zanker
Marek Zanker
Vladimír BurešVladimír Bureš
Vladimír Bureš
PTPetr Tučník
Petr Tučník
System dynamics, as a methodology for analyzing and understanding various types of systems, has been applied in research for several decades. We undertook a review to identify the latest application domains and map the realm of system dynamics. The systematic review was conducted according to the PRISMA methodology. We analyzed and categorized 212 articles and found that the vast majority of studies belong to the fields of business administration, health, and environmental research. Altogether, 20 groups of modeling and simulation topics can be recognized. System dynamics is occasionally supported by other modeling methodologies such as the agent-based modeling approach. There are issues related to published studies mostly associated with testing of validity and reasonability of models, leading to the development of predictions that are not grounded in verified models. This study contributes to the development of system dynamics as a methodology that can offer new ideas, highlight limitations, or provide analogies for further research in various research disciplines.

1 December 2018 in Expert Systems with Applications
Verified
Journal Article
Closed access
PTPetr Tučník
Petr Tučník
TNTomas Nachazel
Tomas Nachazel
PCPavel Cech
Pavel Cech
Vladimír BurešVladimír Bureš
Vladimír Bureš