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Marialisa Nigro   Dr.  Post Doctoral Researcher 
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Marialisa Nigro published an article in March 2019.
Top co-authors See all
Ernesto Cipriani

14 shared publications

Department of Engineering, Roma Tre University, Rome, Italy

Valerio Gatta

9 shared publications

Department of Political Science, Roma Tre University, Via Gabriello Chiabrera 199, 00145 Rome, Italy

Andrea Gemma

4 shared publications

Department of Engineering, Roma Tre University, Rome, Italy

Edoardo Marcucci

4 shared publications

Department of Political Science, Roma Tre University, Via Gabriello Chiabrera 199, 00145 Rome, Italy

Maria Pia Valentini

2 shared publications

41
Publications
35
Reads
0
Downloads
43
Citations
Publication Record
Distribution of Articles published per year 
(2011 - 2019)
Total number of journals
published in
 
24
 
Publications See all
Article 0 Reads 0 Citations A preliminary study of the potential impact of autonomous vehicles on residential location in Rome Stefano Carrese, Marialisa Nigro, Sergio Maria Patella, Eleo... Published: 01 March 2019
Research in Transportation Economics, doi: 10.1016/j.retrec.2019.02.005
DOI See at publisher website
Article 1 Read 0 Citations Multimodal choice model for e-mobility scenarios Marina Ferrara, Carlo Liberto, Marialisa Nigro, Martina Troj... Published: 01 January 2019
Transportation Research Procedia, doi: 10.1016/j.trpro.2018.12.210
DOI See at publisher website ABS Show/hide abstract
The paper focuses on the definition, calibration and testing of a simulation model that is able to represent multimodal choice behaviours for electric vehicles. Taking into account the interchange between public transport and electric private mobility, the model estimates the parking demand at the Park & Ride sites equipped with charging stations. The model is based on a data-driven approach, in which mainly Floating Car Data and open data of public transport have derived the explanatory variables. Specifically, a machine learning method (Random Forest) has been used to calibrate and test the model in the real case of the metropolitan area of Rome (Italy). We first perform a stability analysis, letting the parameters of the model vary. We then carry out a sensitivity analysis on the variables that can affect the user propensity to adopt the Park & Ride. Finally, we profile and test an incentive policy to boost the choice of Park & Ride. Results suggest that the model succeeds in simulating Park & Ride by electric vehicles and, therefore, it can be extremely valuable for planning financial support to the multimodal travel choice and forecasting vehicle-to-grid scenarios.
Article 0 Reads 0 Citations Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts Valerio Gatta, Edoardo Marcucci, Marialisa Nigro, Sergio Mar... Published: 28 December 2018
Sustainability, doi: 10.3390/su11010145
DOI See at publisher website ABS Show/hide abstract
This paper aims at understanding and evaluating the environmental and economic impacts of a crowdshipping platform in urban areas. The investigation refers to the city of Rome and considers an environmental-friendly crowdshipping based on the use of the mass transit network of the city, where customers/crowdshippers pick-up/drop-off goods in automated parcel lockers located either inside the transit stations or in their surroundings. Crowdshippers are passengers that would use the transit network anyhow for other activities (e.g., home-to-work), thus avoiding additional trips. The study requires firstly, estimating the willingness to buy a crowdshipping service like the one proposed here, in order to quantify the potential demand. The estimation is realized adopting an extensive stated preference survey and discrete choice modeling. Then, several scenarios with different features of the service are proposed and evaluated up to 2025 in terms of both externalities (local and global pollutant emissions, noise emissions and accidents reductions) and revenues. The results are useful to understand and quantify the potential of this strategy for last mile B2C deliveries. Moreover, it provides local policy-makers and freight companies with a good knowledge base for the future development of a platform for public transport-based crowdshipping and for estimating the likely impact the system could have both from an economic and environmental point of view.
Article 0 Reads 0 Citations The Impact of Electric Mobility Scenarios in Large Urban Areas: The Rome Case Study Carlo Liberto, Gaetano Valenti, Silvia Orchi, Maria Lelli, M... Published: 01 November 2018
IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/tits.2018.2832004
DOI See at publisher website
Article 0 Reads 1 Citation Congestion pricing policies: Design and assessment for the city of Rome, Italy Ernesto Cipriani, Livia Mannini, Barbara Montemarani, Marial... Published: 01 October 2018
Transport Policy, doi: 10.1016/j.tranpol.2018.10.004
DOI See at publisher website
Article 0 Reads 0 Citations A utility-based dynamic demand estimation model that explicitly accounts for activity scheduling and duration Guido Cantelmo, Francesco Viti, Ernesto Cipriani, Marialisa ... Published: 01 August 2018
Transportation Research Part A: Policy and Practice, doi: 10.1016/j.tra.2018.01.039
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