Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks
By Michael A. P. Taylor, S. Sekhar, G. D'Este. 2006
428 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/40609b588890dcfac9b50c1cfeca52ea1e2765da
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Lars-Göran Mattsson
- Erik Jenelius
- Shao-Wei Lam
- Loon Ching Tang
- Joyce Mei Wan Low
- Michael A. P. Taylor
In Economics and Econometrics
In Transportation
- Lars-Göran Mattsson
- Wai Yuen Szeto
- Haoxiang Liu
- Andy H. F. Chow
- Shao-Wei Lam
- David Z. W. Wang
- Loon Ching Tang
- Erik Jenelius
Citations in the corpus
- Network structure and travel patterns: explaining the geographical disparities of road network vulnerability (2009, background): “Several authors have noted that there is a need for methods to assess the consequences of severe, albeit seemingly unlikely, disruptions of the transport system (e.g., Berdica, 2002; Taylor and D’Este, 2004; Taylor et al., 2006; Jenelius et al., 2006).”
- Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study (2012, background): “So far, this category contains a number of complete studies of single link failures (Taylor et al., 2006; Jenelius et al., 2006; Sohn, 2006; Knoop et al., 2008; Erath et al., 2010).”
- Understanding Port Choice Behavior—A Network Perspective (2011, methodology): “The accessibility of the port i is given by P j 2 ni þ nij nj þ nij , which can be viewed upon as a variation of the Hansen integral accessibility index described in Taylor et al. (2006).”
- Identification of critical combination of vulnerable links in transportation networks – a global optimisation approach (2016, background): “Traditionally, critical elements in a network can be identified by using a brute-force simulation based approach (Taylor et al., 2006).”