This section includes all the publications, selected presentations and reference documents associated with the work conducted in the Consequential life cycle assessment of multi-modal mobility policies – the case of Luxembourg (CONNECTING) project.

Selected papers presented by the CONNECTING team

SETAC 2017 Uncertainty characterization in hybridised life cycle inventories – A case study on mobility scenarios in Luxembourg

Advised readings

MA T-Y. CHOW J.Y.J., XU J. 2016. Causal structure learning for travel mode choice using structural restrictions and model averaging algorithm. Transportmetrica A: Transport Science. DOI: 10.1080/23249935.2016.1265019,

Bakker, S., Jacob Trip, J. (2013) Policy options to support the adoption of electric vehicles in the urban environment. Transport Res D-Tr E 25, 18-23. 

Beckx, C., Int Panis, L., Van De Vel, K., et al. (2009) The contribution of activity-based transport models to air quality modelling: a validation of the ALBATROSS–AURORA model chain. Sci Total Environ 407(12), 3814–3822.

Bhat, C.R., Guo, J.Y., Srinivasan, S, Sivakumar, A. (2004). Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns. Transportation Research Record: Journal of the Transportation Research Board 1894, 57–66

Fiorenzo-Catalano, M.S. (2007) Choice set generation in multimodal transportation network. PhD Dissertation, Delft University of technology.

Flötteröd, G., Chen, Y., Nagel, K. (2012) Behavioral Calibration and Analysis of a Large-Scale Travel Microsimulation. Netw Spat Econ 12(4), 481–502.

Goulias, K.G., Pendyala, R.M., Kitamura, R. (1990) Practical method for the estimation of trip generation and trip chaining. Reprint No. 62, Univ. California Trans. Center, UC Berkeley.

Horni, A., Axhausen, K.W. (2012) How to Improve MATSim Destination Choice For Discretionary Activities? Paper presented in the 12th Swiss Transport Research Conference. Monte Verità / Ascona.

Justen, A. Martínez, F.J., Cortés, C.E. (2013) The use of space–time constraints for the selection of discretionary activity locations. J Transp Geogr 33,146–152.


From the CONNECTING Team and Partners:

Arentze, T., Timmermans, H.J, Hofman, F., Kalfs, N. (2000). Data needs, data collection, and data quality requirements of activity-based transport demand models (No. E-C008).

Arentze, T., Timmermans, H.J. (2004) A learning-based transportation oriented simulation system. Transport Res B-Meth 38(7), 613–633.

Arentze, T. A., Timmermans, H. J. (2009). A need-based model of multi-day, multi-person activity generation. Transport Res B-Meth 43(2), 251–265.

Ayed H., Khadraoui D., Habbas Z. et al. (2008) Transfer Graph Approach for Multimodal Transport Problems. MCO 2008, Metz and Luxembourg, September. 

Ayed H., Habbas Z., Khadraoui D. (2009) ACO for solving a Multimodal Transport Problems using a Transfer Graph Model. International Conference on Computers and Industrial Engineering, July 6-8 2009.

Drevon, G., Gerber, P., Klein, O., Enaux, C. (2013) Cross-border integration and geo-visualization: from trip chains to profiles of cross-border workers. 13th World Conference on Transport Research, Rio, Brazil.

Enaux, C., Gerber, P. (submitted), Attitudes towards energy, a factor in daily ecological mobility? Journal of Transport Geography.

Gerber, P., Caruso, G., Cornelis, E. et al. (2013) Interactions between residential and daily mobility: Luxembourg case study in the MOEBIUS Project. Transport Research day, BIVEC-GIBET, Luxembourg, May.

Joh, C.H., Arentze, T.A., Hofman, F., Timmermans, H.J.P. (2002) Activity pattern similarity: a multidimensional sequence alignment method. Transport Res B-Meth 36(5), 385–403.

Liao, F., Rasouli, S., Timmermans H.J.P. (2014), Incorporating activity-travel time uncertainty and stochastic space-time prisms in multi-state supernetworks for activity-travel scheduling, International Journal of Geographical Information Science

Ma, T.-Y. (2012) A hybrid cross entropy algorithm for solving dynamic transit network design problem. Journal of Information Science and Engineering, 29(4), 631-645

Ma, T.-Y. Lebacque, J.P. (2013) A cross-entropy based multiagent approach for multiclass activity chain modeling and simulation, Transport Res C-Emer 28, 116–129.

Ma, T.-Y. (2014) An A* label setting algorithm for multimodal resource constrained shortest path problem. Procedia - Social and Behavioral Sciences, 111, 330 – 339.

Ma, T.-Y., Lebacque, J.-P. (2014) Dynamic system optimal routing in multimodal transit network. Transportation Research Record: Journal of the Transportation Research Board, No.2351, 76-84.

Omrani, H., Charif, O., Gerber P., Awasthi A. (2014) Prediction of individual travel mode using evidential neural network model. Transportation Research Record 2399, 1–8.

Pebesma, E., Helle K.B., Stasch, C., Rasouli, S. et al (2013), Uncertainty in exposure to air pollution. In: Proceedings General Assembly, European Geosciences Union, Vienna, Austria.

Rasouli, S., Timmermans H.J.P. (2012), Uncertainty in travel demand forecasting models: Literature  review and research agenda. Transportation Letters, 4, 55-73.

Rasouli, S., Timmermans H.J.P. (2014), Influence of social networks on latent choice of electric cars, Networks and Spatial Economics, TO APPEAR.

Rasouli, S., Timmermans H.J.P. (2014), Activity-based models of travel demand: Promises, progress and prospects, International Journal of Urban Sciences, 18, 31-60.

Schmitz, F., Gerber, P. (2011) Voiture ou transports en commun? Comment les frontaliers se rendent-ils au travail en 2010? Vivre au Luxembourg. num. 78, 2 p.

Vause, M., (1997) A rule-based model of activity scheduling behavior. In: Ettema, D.F., Timmermans, H.J.P. (Eds.), Activity-based Approaches to Activity Analysis. Pergamon Press, Oxford, pp. 73–88.

From the CONNECTING Team and Partners:

Marvuglia, A., Benetto, E., Rege, S., Jury, C. (2013) Modelling approaches for Consequential Life Cycle Assessment (C-LCA) of bioenergy: critical review and proposed framework for biogas production. Renew Sust Energ Rev 25, 768–781.

Vázquez-Rowe, I., Marvuglia, A., Thénie, J. et al. (2013) Application of three independent consequential LCA approaches to the agricultural sector in Luxembourg. Int J Life Cycle Assess 18(8),1593–1604.

Navarrete Gutiérrez T., Rege S., Marvuglia A., Benetto E. (2015) Introducing LCA Results to ABM for Assessing the Influence of Sustainable Behaviours. In: Bajo J. et al. (eds) Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 372. Springer, Cham

Antonino Marvuglia, Sameer Rege, Tomás Navarrete Gutiérrez, Laureen Vanni, Didier Stilmant, Enrico Benetto, A return on experience from the application of agent-based simulations coupled with life cycle assessment to model agricultural processes, Journal of Cleaner Production, Volume 142, Part 4, 20 January 2017, Pages 1539-1551, ISSN 0959-6526

Gutiérrez, T. N., Rege, S., Marvuglia, A., & Benetto, E. (2017). Sustainable Farming Behaviours: An Agent Based Modelling and LCA Perspective. In Agent-Based Modeling of Sustainable Behaviors (pp. 187-206). Springer International Publishing.

Hawkins, T. R., Gausen, O. M., Strømman, A. H. (2012) Environmental impacts of hybrid and electric vehicles—a review. Int J Life Cycle Assess 17(8), 997-1014.

Hong, J., Shaked, S., Rosenbaum, R. K., Jolliet, O. (2010). Analytical uncertainty propagation in life cycle inventory and impact assessment: application to an automobile front panel. Int J Life Cycle Assess 15(5), 499–510.

From the CONNECTING Team and Partners

Querini, F., Béziat, J. C., Morel, S. et al. (2011) Life cycle assessment of automotive fuels: critical analysis and recommendations on the emissions inventory in the tank to wheels stage. Int J Life Cycle Assess 16(5), 454–464.

Querini, F. (2012). Analyse de cycle de vie des énergies alternatives pour l'automobile et propositions méthodologiques pour une meilleure évaluation des impacts locaux. Doctoral dissertation, Ecole Nationale Supérieure de Mécanique et d'Aérotechnique-Poitiers.

Querini, F., Benetto, E (2013) Definition and influence of functional unit in LCA of electric and plug-in hybrid vehicles applied implantation scenarios. Life Cycle Management Conference, Swedish Life Cycle Centre, Gothenburg.

Suh, S., et al. (2004). "System Boundary Selection in Life-Cycle Inventories Using Hybrid Approaches." Environmental Science & Technology 38(3): 657-664.

From the CONNECTING Team and Partners:

Gibon, T., et al. (2015). "A Methodology for Integrated, Multiregional Life Cycle Assessment Scenarios under Large-Scale Technological Change." Environmental Science & Technology 49(18): 11218–11226.An application of the hybrid framework used in CONNECTING: Hertwich, E. G., et al. (2015). "Integrated life-cycle assessment of electricity-supply scenarios confirms global environmental benefit of low-carbon technologies." Proceedings of the National Academy of Sciences 112(20): 6277-6282.

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