Measurement of Cycling Risk and Quantitative Policy
Presentation / Conference
Meade, S., Stewart, K., & Maher, M. (2018, May)
Measurement of Cycling Risk and Quantitative Policy. Paper presented at Scottish Transport Applications and Research (STAR) Conference 2018
The SiN (Safety-in-numbers) effect has become prevalent within cycling research in recent years and describes the phenomenon whereby cycling accident risk may fall when the vo...
Minimal revenue network tolling: system optimisation under stochastic assignment with elastic demand.
Book Chapter
Stewart, K., & Maher, M. (2006)
Minimal revenue network tolling: system optimisation under stochastic assignment with elastic demand. In S. Lawphongpanich, D. Hearn, & M. Smith (Eds.), Mathematics in transport : selected proceedings of the 4th IMA International Conference on Mathematics in Transport : in honour of Richard Allsop, (201-218). Boston, MA: Springer Verlag. https://doi.org/10.1007/0-387-29645-X_9
The classical road tolling problem is to toll network links such that, under the principles of Wardropian User Equilibrium (UE) assignment, a System Optimising (SO) flow patte...
Stochastic social optimum traffic assignment
Journal Article
Maher, M., Stewart, K., & Rosa, A. (2005)
Stochastic social optimum traffic assignment. Transportation Research Part B: Methodological, 39(8), 753-767. doi:10.1016/j.trb.2004.10.001
This paper formulates a Stochastic Social Optimum (SSO) that relates to the Stochastic User Equilibrium (SUE) in the same way as the Social Optimum (SO) relates to the User Eq...
Risk analysis in construction networks using a modified stochastic model.
Journal Article
GUO, Q. L., Guo, Q. L., MAHER, M., & WAMUZIRI, S. (2001)
Risk analysis in construction networks using a modified stochastic model. Civil Engineering and Environmental Systems, 18(3), 215-241. doi:10.1080/02630250108970301
A review of construction network analysis indicates that new methods are needed for quantifying risks in project evaluation. The paper proposes a new analytical method, the Mo...