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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 38 out of 100. Prevention and risk

Topic: Risk, prevention and care in population studies

The increasing number of natural and man-made disasters registered at the global level is causing a significant amount of damage. This represents one of the main sustainability challenges at the global level. The collapse of the Twin Towers, Hurricane Katrina, and the nuclear accident at the Fukushima power plant are some of the most representative disaster events that occurred at the beginning of the third millennium. These relevant disasters need an enhanced level of preparedness to reduce the gaps between the plan and its implementation. Among these actions, training and exercises play a relevant role because they increase the capability of planners, managers, and the people involved. By focusing on the exposure risk component, the general objective of the research is to obtain quantitative evaluations of the exercise’s contribution to risk reduction through evacuation. The paper aims to analyze serious games using a set of methods and models that simulate an urban risk reduction plan. In particular, the paper proposes a transparent framework that merges transport risk analysis (TRA) and transport system models (TSMs), developing serious game activities with the support of emerging information and communication technologies (e-ICT). Transparency is possible through the explicitation of reproducible analytical formulations and linked parameters. The core framework of serious games is constituted by a set of models that reproduce the effects of players’ choices, including planned actions of decisionmakers and travel users’ choices. The framework constitutes the prototype of a digital platform in a “non-stressful” context aimed at providing more insights about the effects of planned actions. The proposed framework is characterized by transparency, a feature that allows other analysts and planners to reproduce each risk scenario, by applying TRA and relative effects simulations in territorial contexts by means of TSMs and parameters updated by e-ICT. A basic experimentation is performed by using a game, presenting the main results of a prototype test based on a reproducible exercise. The prototype experiment demonstrates the efficacy of increasing preparedness levels and reducing exposure by designing and implementing a serious game. The paper’s methodology and results are useful for policymakers, emergency managers, and the community for increasing the preparedness level.

Key findings

Why it matters

This paper is about using serious games to plan evacuations in a road network during disasters, and has nothing to do with Alzheimer's disease. It offers no information on treating, curing or preventing Alzheimer's disease.

Study details

How this study scored 38/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 2 of 7; Citations per year 2 of 5; Impact for its field and year 3 of 6; Cited by studies here 0 of 6; Still being cited 1 of 4; Senior author's track record 1 of 4; Institution's track record 0 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 1 of 2; Free to read 2 of 2. Total 38 of 100.38 of 100 points earned62 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Sustainability)
Journal's citation record 3 / 4 Sustainability: journal h-index 308 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 2 / 7 Cited 9 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 3.0 citations a year over 3 year(s) since 2025
Impact for its field and year 3 / 6 Cited 3.7× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 1 / 4 Cited 9 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 1 / 4 Last-listed author Antonio Russo: h-index 8 (OpenAlex, whole career)
Institution's track record 0 / 3 University of Reggio Calabria: institution h-index 235 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 2 institution(s) in 1 country
Indexed in PubMed 1 / 2 Not in PubMed, but has a DOI
Free to read 2 / 2 Free to read
Total 38 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Rindone, C., & Russo, A. (2025). Disaster Risk Reduction in a Manhattan-Type Road Network: A Framework for Serious Game Activities for Evacuation. Sustainability. https://doi.org/10.3390/su17146326

Vancouver

Rindone C, Russo A. Disaster Risk Reduction in a Manhattan-Type Road Network: A Framework for Serious Game Activities for Evacuation. Sustainability. 2025. doi:10.3390/su17146326.

BibTeX

@article{rindone2025-ab36072b,
  author  = {Rindone, Corrado and Russo, Antonio},
  title   = {{Disaster Risk Reduction in a Manhattan-Type Road Network: A Framework for Serious Game Activities for Evacuation}},
  journal = {Sustainability},
  year    = {2025},
  doi     = {10.3390/su17146326},
  url     = {https://doi.org/10.3390/su17146326}
}

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