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Measurement of Cycling Risk and Quantitative Policy (2018)
Presentation / Conference Contribution
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, Glasgow

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 volume of cyclists increases. Such an effect is clearly attractive to policy... Read More about Measurement of Cycling Risk and Quantitative Policy.

Minimal revenue network tolling: system optimisation under stochastic assignment with elastic demand. (2006)
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 Intern

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 pattern is obtained. Such toll sets are however non-unique, and further optimisa... Read More about Minimal revenue network tolling: system optimisation under stochastic assignment with elastic demand..

Stochastic social optimum traffic assignment (2005)
Journal Article
Maher, M., Stewart, K., & Rosa, A. (2005). Stochastic social optimum traffic assignment. Transportation Research Part B: Methodological, 39(8), 753-767. https://doi.org/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 Equilibrium (UE) in a deterministic environment. At the SSO solution, the tot... Read More about Stochastic social optimum traffic assignment.

Risk analysis in construction networks using a modified stochastic model. (2001)
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. https://doi.org/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 Modified Stochastic Assignment Model (MSAM), for the prediction of project du... Read More about Risk analysis in construction networks using a modified stochastic model..