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SCHEFFER Ariane Hélène Marie

Main Referenced Co-authors
VITI, Francesco  (9)
CONNORS, Richard  (4)
CANTELMO, Guido  (2)
Cantelmo, Guido (2)
Cipriani, Ernesto (2)
Main Referenced Keywords
Markov Chain Monte Carlo (1); Travel Demand Estimation (1); Utility Theory (1);
Main Referenced Disciplines
Engineering, computing & technology: Multidisciplinary, general & others (9)
Social & behavioral sciences, psychology: Multidisciplinary, general & others (1)

Publications (total 10)

The most downloaded
118 downloads
Scheffer, A. H. M., Bandiera, C., Cantelmo, G., Cipriani, E., & Viti, F. (January 2019). A Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns [Poster presentation]. Transportation Research Board TRB Annual Meeting. https://hdl.handle.net/10993/40089

The most cited

7 citations (Scopus®)

Scheffer, A. H. M., Cantelmo, G., & Viti, F. (2017). Generating Macroscopic, Purpose-Dependent Production Factors Through Monte Carlo Sampling Techniques. Transportation Research Procedia. doi:10.1016/j.trpro.2017.12.111 https://hdl.handle.net/10993/35940

Scheffer, A. H. M. (2022). Dynamic Activity-Based Demand Estimation Considering Destination And Mode Choice [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50854

Scheffer, A. H. M., Connors, R., & Viti, F. (2021). ESTIMATION OF MACROSCOPIC ACTIVITY-TRAVEL DEMAND: A UTILITY MAXIMIZATION APPROACH. In Proceedings of the 25th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2021: Sustainable Mobility.
Peer reviewed

Scheffer, A. H. M., Connors, R., & Viti, F. (2021). Dynamic Modal Split Incorporating Trip Chaining: A Parsimonious Approach to Mode-Specific Demand Estimation. Transportation Research Procedia. doi:10.1016/j.trpro.2022.02.032
Peer Reviewed verified by ORBi

Scheffer, A. H. M., Connors, R., & Viti, F. (May 2021). A Bayesian approach to activity-specific demand estimation [Paper presentation]. BIVEC Transport Research Days.

Scheffer, A. H. M., Bandiera, C., Cipriani, E., Cantelmo, G., & Viti, F. (February 2021). A Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns [Paper presentation]. Symposium of the European Association for Research in Transportation.

Scheffer, A. H. M., Connors, R., & Viti, F. (2020). Trip chaining impact on within-day mode choice dynamics: Evidences from a multi-day travel survey. Transportation Research Procedia, 52. doi:10.1016/j.trpro.2021.01.082
Peer Reviewed verified by ORBi

Viti, F., Sprumont, F., & Scheffer, A. H. M. (January 2020). On the Relationship between Activity Pattern Complexity and Car Use: A Structural Equation Modelling Approach [Paper presentation]. TRB Annual Meeting.

Scheffer, A. H. M., Bandiera, C., Cantelmo, G., Cipriani, E., & Viti, F. (January 2019). A Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns [Poster presentation]. Transportation Research Board TRB Annual Meeting.

Scheffer, A. H. M., Cantelmo, G., & Viti, F. (May 2017). Generating purpose-dependent production factors through Monte Carlo sampling techniques [Paper presentation]. BIVEC Transport Research Day. doi:10.1016/j.trpro.2017.12.111

Scheffer, A. H. M., Cantelmo, G., & Viti, F. (2017). Generating Macroscopic, Purpose-Dependent Production Factors Through Monte Carlo Sampling Techniques. Transportation Research Procedia. doi:10.1016/j.trpro.2017.12.111
Peer Reviewed verified by ORBi

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