Citation network analysis of vulnerability studies in the fields of transportation and complex networks

Sugishita, Kashin; Asakura, Yasuo

doi:10.1016/j.trpro.2020.03.111

Cited by 9 publications

(8 citation statements)

References 19 publications

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“…Sugishita and Asakura [21] analyzed the citation network of vulnerability publications in the fields of transportation and complex networks. They proposed a framework for analyzing a citation network and applied it in their study.…”

Section: Literature Reviewmentioning

confidence: 99%

Leveraging Social Network Analysis for Crowdsourced Software Engineering Research

Alabduljabbar

Alyahya

2022

Applied Sciences

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Crowdsourced software engineering (CSE) is an emerging area that has been gaining much attention in the last few years. It refers to the use of crowdsourcing techniques in software engineering activities, including requirements engineering, implementation, design, testing, and verification. CSE is an alternative to traditional software engineering and uses an open call to which online developers can respond to and obtain work on various tasks, as opposed to the assigning of tasks to in-house developers. The great benefits of CSE have attracted the attention of many researchers, and many studies have recently been carried out in the field. This research aims to analyze publications on CSE using social network analysis (SNA). A total of 509 CSE publications from six popular databases were analyzed to determine the characteristics of the collaborative networks of co-authorship of the research (i.e., the co-authors, institutions involved in co-authorship, and countries involved in co-authorship) and of the citation networks on which the publications of the studies are listed. The findings help identify CSE research productivity, trends, performances, community structures, and relationships between various collaborative patterns to provide a more complete picture of CSE research.

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Section: Literature Reviewmentioning

confidence: 99%

Leveraging Social Network Analysis for Crowdsourced Software Engineering Research

Alabduljabbar

Alyahya

2022

Applied Sciences

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“…For example, accessibility indicators such as the NTRI or Hansen index should be more effective when being applied for regional road networks (Susilawati and Taylor, 2008). The implementation of these indexes in an urban network is likely to be biased, based on sharing different characteristics (Sugishita and Asakura, 2021).…”

Section: Vulnerability Indexmentioning

confidence: 99%

“…This is important due to the massive impact of the disturbance on the critical road(s), which triggers a systemic chain effect on the overall network performances, including socio-economic activity losses. Several accessibility indexes have reportedly been used to assess the vulnerability of road networks (Sugishita and Asakura, 2021). However, this is less practical in Indonesia, as the road authority used functional performance as the standard indicator.…”

Section: Introductionmentioning

confidence: 99%

Optimizing The Functional Performance of Road Network using Vulnerability Assessment to Cope with Unforeseen Road Incidents

Amrozi

Isheka

2021

jcef

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An Urban Road network is often used for multipurpose trips, due to their transportation functions, such as attractiveness and orientation, as well as social, ecological, and economic features. In Indonesia, road incidents have reportedly increased during the last decade because of a higher frequency of natural hazards, accidents, and on-street mass demonstrations. These incidents are found to degrade or terminate road access, forcing users to utilize alternative routes and decreasing the service performance in adjacent directions. Due to the unexpected occurrences at any location and time, there is a need to investigate the impact of random incidents on road performances. Several accessibility indexes have also been used to evaluate the vulnerability of road networks. However, this is less practical in Indonesia, with the road authority using functional performances as the indicator. This indicates the need for an index to be developed based on road performance parameters. Therefore, this study aims to develop a road performance-based vulnerability index known as the RCI (Road Criticality Index). Combined with a traffic simulation tool, this system is used as an alternative index to assess vulnerabilities, by identifying the road(s) providing worse consequences due to unforeseen incidents. This simulation was conducted by using the PTV Visum, assuming a road section is closed due to the worst incident scenarios. The result showed that the RCI offered a more comprehensive assessment than the existing indicator (volume capacity ratio). The RCI included travel speed and mobility components for evaluating both local and global road performances. With the knowledge of the most vulnerable locations and their consequences, road authorities can prioritize maintenance and development strategies based on the criticality index. Also, preventive measures should be conducted to mitigate risk under a constrained budget. This methodology can be applied to sustainably enhance the resilience of urban road networks.

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“…Mattsson and Jenelius summarized the current research as a network-based topology and a transportation-based approach [3]. Studies on transport vulnerability have developed over time [4,5]. e definition of road network vulnerability in this paper is as follows: vulnerability is the nature of a road link with full or partial failure that can significantly reduce the service capacity of the road network or the accessibility of some specific nodes in the road network.…”

Section: Literature Reviewmentioning

confidence: 99%

“…e quantitative analysis of road network vulnerability has gradually developed to the three connotations of vulnerability: firstly, analysis from the perspective of reliability, represented by Bell in this respect, based on pure mathematical graph theory (such as complex network theory) for research [5][6][7][8][9][10][11][12][13]; secondly, analysis from the aspect of accessibility, represented by Chen, Taylor, and Jenelius, the research based on the cost of road network users and the importance of road sections [2,3,[14][15][16][17][18][19][20][21][22][23][24]; thirdly, analysis from serviceability, the research based on the road network user cost and road network service level changes [25,26]. e method of identifying the vulnerable connection through the whole network scanning has two much calculations in the traditional vulnerability analysis; therefore, some scholars have proposed a method for improving the computing efficiency [27,28].…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic Assessment of Road Network Vulnerability Based on Cell Transmission Model

Sun

Xie

Wang

et al. 2021

Journal of Advanced Transportation

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The road network maintaining stability is critical for guaranteeing urban traffic function. Therefore, the vulnerable links need to be identified accurately. Previous vulnerability research under static condition compared the operating states of the old equilibrium before the event and the new equilibrium after the event to assess vulnerability ignoring the dynamic variation process. Does road network vulnerability change over time? This paper combines the vulnerability assessment with the traffic flow evolution process, exploring the road network vulnerability evaluation from the perspective of time dimension. More accurate identification and evaluation of vulnerable nodes and links can help to strengthen the ability of road network resisting disturbances. A modified dynamic traffic assignment (DTA) model is established for dynamic path selection (reselect the shortest path at the end of each link) based on the dynamic user optimal (DUO) principle. A modified cell transmission model is established to simulate the traffic flow evolution processes. The cumulative and time-varying index of vulnerability assessment is established from the viewpoint of traveler’s time loss. Then the road network vulnerability assessment combined the traffic flow model with the vulnerability index. The road network vulnerability assessment of Bao’an Central District of Shenzhen, China, reveals that road network vulnerability does contain a dynamic process, and vulnerable links in each phase can be exactly identified by the model. Results showed that the road network would have a large vulnerability during the disordered phase when the main road fails. Therefore, prioritizing the smooth flow of main roads can weaken the impact of road network vulnerability exposure.

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Citation network analysis of vulnerability studies in the fields of transportation and complex networks

Cited by 9 publications

References 19 publications

Leveraging Social Network Analysis for Crowdsourced Software Engineering Research

Leveraging Social Network Analysis for Crowdsourced Software Engineering Research

Optimizing The Functional Performance of Road Network using Vulnerability Assessment to Cope with Unforeseen Road Incidents

Dynamic Assessment of Road Network Vulnerability Based on Cell Transmission Model

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