Dynamic Approach to Update Utility and Choice by Emerging Technologies to Reduce Risk in Urban Road Transportation Systems DOI Creative Commons
Francesco Russo, Antonio Comi,

G. Chilà

et al.

Future Transportation, Journal Year: 2024, Volume and Issue: 4(3), P. 1078 - 1099

Published: Sept. 20, 2024

International research attention on evacuation issues has increased significantly following the human and natural disasters at turn of century, such as 9/11, Hurricane Katrina, Cyclones Idai Kenneth, Black Saturday forest fires tsunamis in Japan. The main problem concerning when a disaster can occur involves studying risk reduction. Risk, all theoretical experimental studies, is determined by product three components: occurrence, vulnerability exposure. Vulnerability be improved over time through major infrastructure actions, but absolute security cannot achieved. When event will with certainty, only exposure remains to reduce people before effect hits them. Exposure improved, under fixed conditions occurrence vulnerability, improving evacuation. terms evacuating population from an area available transport system, which must used its fullest. So, if system well managed, improves (shorter times), meaning reduced, therefore, reduced. A key factor analysis systems emergency behavior user, study demand. This work identifies lines that are useful for demand exposure-related conditions. classification models simulate relation transportation summarized. contribution proposes model updating choice utility. emerging ICTs actualization formally introduced into models. Intelligent technologies make it possible improve user decisions, reducing therefore risk. proposed moves within two approaches literature: inter-period dynamic probability expressed discrete theory; furthermore, sequential dependent previous choices. presents example application model, developing transition matrix considering case extreme

Language: Английский

The influences of physical exercise on student burnout: based on the mediating role of psychological resilience DOI Creative Commons

Deqiang Deng,

Qichao Sun,

Huijun Li

et al.

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Feb. 11, 2025

To explore the impact of physical exercise on student burnout, 800 non-physical education major students in a university Suzhou are selected as research objects to carry out an empirical study influences and SPSS27.0 software is used process data obtained by research. The results indicate that exercise, psychological resilience differ based demographic variables; There significant correlations between burnout resilience, which shows have significantly negative correlation, positive correlation; Psychological plays mediating role influence burnout. Based this, order alleviate students' fatigue leverage suggestions countermeasures improve effect enhance put forward.

Language: Английский

Citations

1
Dynamic Approach to Update Utility and Choice by Emerging Technologies to Reduce Risk in Urban Road Transportation Systems DOI Creative Commons
Francesco Russo, Antonio Comi,

G. Chilà

et al.

Future Transportation, Journal Year: 2024, Volume and Issue: 4(3), P. 1078 - 1099

Published: Sept. 20, 2024

International research attention on evacuation issues has increased significantly following the human and natural disasters at turn of century, such as 9/11, Hurricane Katrina, Cyclones Idai Kenneth, Black Saturday forest fires tsunamis in Japan. The main problem concerning when a disaster can occur involves studying risk reduction. Risk, all theoretical experimental studies, is determined by product three components: occurrence, vulnerability exposure. Vulnerability be improved over time through major infrastructure actions, but absolute security cannot achieved. When event will with certainty, only exposure remains to reduce people before effect hits them. Exposure improved, under fixed conditions occurrence vulnerability, improving evacuation. terms evacuating population from an area available transport system, which must used its fullest. So, if system well managed, improves (shorter times), meaning reduced, therefore, reduced. A key factor analysis systems emergency behavior user, study demand. This work identifies lines that are useful for demand exposure-related conditions. classification models simulate relation transportation summarized. contribution proposes model updating choice utility. emerging ICTs actualization formally introduced into models. Intelligent technologies make it possible improve user decisions, reducing therefore risk. proposed moves within two approaches literature: inter-period dynamic probability expressed discrete theory; furthermore, sequential dependent previous choices. presents example application model, developing transition matrix considering case extreme

Language: Английский

Citations

2