The highway resilience and vulnerability in Taiwan

Hsieh, Cheng-Hsien; Feng, Chao

doi:10.1016/j.tranpol.2018.08.010

Cited by 23 publications

(10 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Self-defense against circumstances that are at risk of causing harm to individuals (Hsieh & Feng, 2020;Vella & Pai, 2019;Westcott et al, 2017). Reivich & Shatte states that resilient people who show their resilience when facing difficult situations can solve various problems of life, in the right ways they choose (Reivich & Shatte, 2002).…”

Section: Discussionmentioning

confidence: 99%

Student Resilience in Facing Covid-19 Pandemic Viewed From Social Support

Asiyah

Kumalasari

Kusumawati

2020

HSSR

View full text Add to dashboard Cite

Purpose: This study aims to determine the correlation between resilience and social support for students of the Faculty of Psychology and Health at the State Islamic University of Sunan Ampel in Surabaya in participating in academic activities during the COVID-19 pandemic. Methodology: This research uses quantitative methods. The data collection has been done using a questionnaire. Main Finding: The results show that social support can increase student resilience in the face of the COVID-19 pandemic. Applications of this study: The participant of the research is a student of UIN Sunan Ampel Surabaya. Novelty/Originality of this study: COVID-19 pandemic is a very new situation. As well as the government regulations in implementing. Learning causes many mental problems. The results of this study indicate that students need social support to survive through this pandemic.

show abstract

Section: Discussionmentioning

confidence: 99%

Student Resilience in Facing Covid-19 Pandemic Viewed From Social Support

Asiyah

Kumalasari

Kusumawati

2020

HSSR

View full text Add to dashboard Cite

show abstract

“…In addition, the concept is also associated with the capacity to recover any functionality or structural capability that is lost or damaged by the occurrence of a disturbance and adapt the system to future possible new disturbances. Some applications of the approach that were mentioned above correspond to transport [34], financial performance in tourism [35], and disaster management [36], [37], among others.…”

Section: Related Workmentioning

confidence: 99%

Resilience in the Decision-Making of an Artificial Autonomous System on the Stock Market

2019

View full text Add to dashboard Cite

This paper presents the design of a resilience mechanism for supporting investment decision-making processes performed by artificial autonomous systems. In the field of Psychology, resilience is understood as the capacity of people to overcome adversity. Resilience has been determined to be a permanent necessary element for the life of an individual. In addition, different levels of intelligence, analysis capacities, and degrees of autonomy have been progressively incorporated within information systems that are oriented to support decision-making processes, such as those for stock markets. Particularly, the inclusion of affective criteria or variables within decision-making systems represents a promising line of action. However, to the best of our knowledge, there are no proposals that suggest the inclusion of a psychological approach to resilience within an autonomous decision-making system for stock markets. Specifically, the incorporation of a psychological approach to resilience allows the autonomous system to face special difficult investment scenarios (e.g., an economic shock) and prevent the system from achieving a permanent negative performance. Thus, psychological resilience can enable an artificial autonomous system to adapt its decisionmaking processes according to uncertain investment environments. Our proposal conducts experiments using official data from the Standard & Poor's 500 Index. The results are promising and are based on a second-order autoregressive model. The test results suggest that the use of a resilience mechanism within an artificial autonomous system can contain and recover the affective dimensions of the system when it faces adverse decision scenarios.

show abstract

“…Klophaus and Lordan [3] measured the vulnerability of the Global airline codesharing network of Star Alliance, SkyTeam, and Oneworld, respectively, by applying a normalized codesharing network vulnerability metric based on the average edge betweenness. Hsieh and Feng [4] examined the resilience of Taiwan highway networks in regard to failures from the perspectives of accessibility and connectivity. Liu et al [5] analyzed the susceptibility of both existing and planned Chinese railway system subjected to rainfall-induced multihazards quantitatively using a machine learning method and historical disaster events through which the main climatic factors that influence the safety of the railway system are identified.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability Evaluation and Improvement Method of Civil Aviation Navigation Network

2022

View full text Add to dashboard Cite

Due to events such as natural disasters and navigation equipment failures, enormous calamity may be caused by the interruption of the navigation network which is a guarantee for the flight safety of civil aviation aircraft. The navigation network consists of the navigation stations as nodes and the routes between them as edges. Different nodes have different effects on the vulnerability of the network due to their different abilities to maintain the stability of the network topology and the normal function of the network. To quantify this difference and identify key nodes that have a greater impact on the vulnerability of the navigation network, an indicator to assess the importance of a navigation station is proposed which combines the structural importance reflected by node topology centrality and functional importance reflected by node weight. The structural importance of a node corresponds to its topology features including local dominance of the node and its global influence, and the important contribution to both adjacent and nonadjacent nodes from this node, while the functional importance is indicated by the flight flow serviced by the node during a fixed period of time. Vulnerability evaluation shows that the navigation network is more vulnerable when subject to the intentional attack of nodes with higher comprehensive node importance than an intentional attack of nodes with a larger value of indicators used in previous literature. Finally, the vulnerability of the navigation network is improved through changing the topology of the most critical node and balancing the node importance of the whole network.

show abstract

The highway resilience and vulnerability in Taiwan

Cited by 23 publications

References 33 publications

Student Resilience in Facing Covid-19 Pandemic Viewed From Social Support

Student Resilience in Facing Covid-19 Pandemic Viewed From Social Support

Resilience in the Decision-Making of an Artificial Autonomous System on the Stock Market

Vulnerability Evaluation and Improvement Method of Civil Aviation Navigation Network

Contact Info

Product

Resources

About