Papers in 2022

Nigro, M., Castiglione, M., Colasanti, F. M., De Vincentis, R., Valenti, G., Liberto, C. and Comi, A. (2022). Exploiting floating car data to derive the shifting potential to electric micromobility. Transportation Research Part A 157, Elsevier Ltd., DOI: 10.1016/j.tra.2022.01.008, pp. 78–93. <see> SCOPUS ID: 2-s2.0-85123849817WOS:000781098500005



Comi, A., Polimeni, A., Crisalli, U. and Nuzzolo, A. (2022). A methodology based on floating car data for the analysis of the potential rail-road freight demand. International Journal of Transport Economics XLVIII (3-4), Serra Editore, DOI: 10.19272/202106704002, pp.315-337. <see> SCOPUS ID: – WOS:000797491000002

Comi, A. and Polimeni, P. (2022). Estimating Path Choice Models through Floating Car Data. Forecasting 2022, 4, 29. DOI: 10.3390/forecast4020029. <see> SCOPUS ID: – WOS:

 

 

Castiglione, M.; Comi, A.; De Vincentis, R.; Dumitru, A.; Nigro, M. (2022). Delivering in Urban Areas: A Probabilistic-Behavioral Approach for Forecasting the Use of Electric Micromobility. Sustainability 2022, 14, 9075. DOI: 10.3390/su14159075. <see> SCOPUS ID: 2-s2.0-85137177854WOS:000839186900001

Comi, A. and Russo, A. (2022). Emerging Information and Communication Technologies: the Challenges for the Dynamic Freight Management in City Logistics. Front. Future Transp. Sec. Transportation Systems Modeling, DOI: 10.3389/ffutr.2022.8873079. <see>

Comi, A., Polimeni, A., Nuzzolo, A. (2022). An Innovative Methodology for Micro-Mobility Network Planning. Transportation Research Procedia 60, Elsevier Ltd., DOI: 10.1016/j.trpro.2021.12.004, pp. 20-27. <see> SCOPUS ID: 2-s2.0-85123633684 – WOS:



Comi, A., Valentini, A. and Sassano, M. (2022). Monitoring and controlling real-time bus services: a reinforcement learning procedure for eliminating bus bunching. Transportation Research Procedia 62, Elsevier Ltd., DOI: 10.1016/j.trpro.2022.02.038, pp. 302-309. <see> SCOPUS ID: 2-s2.0-85127465893 – WOS:



Comi, A., Polimeni, A. and Balsamo, C. (2022). Road Accident Analysis with Data Mining Approach: evidence from Rome. Transportation Research Procedia 62, Elsevier Ltd., DOI: 10.1016/j.trpro.2022.02.099, pp. 798-805. <see> SCOPUS ID: 2-s2.0-85127493713 – WOS:



Russo, F. and Comi, A. (2022). Providing dynamic route advice for urban goods vehicles: the learning process enhanced by the emerging technologies. Transportation Research Procedia 62, Elsevier Ltd., DOI: 10.1016/j.trpro.2022.02.078, pp. 632-639. <see> SCOPUS ID: 2-s2.0-85127460233 – WOS:



Nigro, M., Castiglione, M., Colasanti, F.M., De Vincentis, R., Liberto, C., Valenti, G. and Comi, A. (2022). Investigating Potential Electric Micromobility Demand in the city of Rome, Italy. Transportation Research Procedia 62, Elsevier Ltd., DOI: 10.1016/j.trpro.2022.02.050, pp. 401-407. <see> SCOPUS ID: 2-s2.0-85127527797 – WOS:



Cirianni, F., Comi, A. and Luongo, A. (2022). A sustainable approach for planning of urban pedestrian routes and footpaths in a pandemic scenario. TeMA – Journal of Land Use, Mobility and Environment, 15(1), DOI: 10.6093/1970-9870/8629, pp. 125-140. <see> SCOPUS ID:  – WOS:000798507300009



Russo, F. and Comi, A. (2022). Urban courier delivering in a smart city: the user learning process of travel costs enhanced by emerging technologies. 5th International Conference Green Cities 2022, Szczecin, Poland.

Di Gangi, M., Comi, A., Polimeni, A., Belcore, O.M. (2022). E-bike Assessment: Empirical Evidence and Environmental Benefits. 5th International Conference Green Cities 2022, Szczecin, Poland.

Castiglione, M., Comi, A., De Vincentis, R., Dumitru, A. and Nigro, M. (2022). Delivering in urban areas: a probabilistic-behavioural approach for forecasting the use of electric micromobility.5th International Conference Green Cities 2022, Szczecin, Poland.