Simulating the actions of commuters using a multi-agent system
Urquhart, N., Powers, S., Wall, Z., Fonzone, A., Ge, J., & Polhill, G. (2019)
Simulating the actions of commuters using a multi-agent system. Journal of Artificial Societies and Social Simulation, 22(2), https://doi.org/10.18564/jasss.4007
The activity of commuting to and from a place of work affects not only those travelling but also wider society through their contribution to congestion and pollution. It is de...
Creating optimised employee travel plans.
Urquhart, N. B. & Hart, E. (2014)
Creating optimised employee travel plans
Design challenges in motivating change for sustainable urban mobility.
Gabrielli, S., Forbes, P., Jylha, A., Wells, S., Sirén, M., Hemminki, S., …Jacucci, G. (2014)
Design challenges in motivating change for sustainable urban mobility. Computers in human behavior, 41, 416-423. https://doi.org/10.1016/j.chb.2014.05.026
In recent years, the design and deployment of persuasive interventions for inducing sustainable urban mobility behaviors has become a very active research field, leveraging on...
Towards an applied gamification model for tracking, managing, & encouraging sustainable travel behaviours.
Presentation / Conference
Wells, S., Kotkanen, H., Schlafli, M., Gabrielli, S., Masthoff, J., Jylha, A., & Forbes, P. (2014, May)
Towards an applied gamification model for tracking, managing, & encouraging sustainable travel behaviours. Paper presented at First Urban Sustainable, CollaboratIve, and Adaptive MObility (USCIAMO) Workshop, Nice, France
In this paper we introduce a gamification model for encouraging sustainable multi-modal urban travel in modern European cities. Our aim is to provide a mechanism that encourag...
Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem
Urquhart, N. B., Scott, C., & Hart, E. (2010)
Using an evolutionary algorithm to discover low CO2 tours within a Travelling Salesman Problem. In C. Chio, A. Brabazon, G. A. Di Caro, M. Ebner, M. Farooq, A. Fink, …N. Urquhart (Eds.), Applications of evolutionary computation : EvoApplications 2010: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part II, (421-430). https://doi.org/10.1007/978-3-642-12242-2_43
This paper examines the issues surrounding the effects of using vehicle emissions as the fitness criteria when solving routing problems using evolutionary techniques. The case...