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Marialisa Nigro   Dr.  Post Doctoral Researcher 
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Marialisa Nigro published an article in November 2018.
Top co-authors
Ernesto Cipriani

2 shared publications

Department of Engineering, Roma Tre University, Rome, Italy

Andrea Del Giudice

1 shared publications

Department of Engineering, Roma Tre University, Rome, Italy

Andrea Gemma

1 shared publications

Roma Tre University

Maria Pia Valentini

1 shared publications

26
Publications
14
Reads
0
Downloads
31
Citations
Publication Record
Distribution of Articles published per year 
(2011 - 2018)
Total number of journals
published in
 
15
 
Publications See all
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 0 Citations 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 6 Reads 1 Citation Exploiting floating car data for time-dependent Origin–Destination matrices estimation Marialisa Nigro, Ernesto Cipriani, Andrea Del Giudice Published: 16 January 2018
Journal of Intelligent Transportation Systems, doi: 10.1080/15472450.2017.1421462
DOI See at publisher website
Article 1 Read 0 Citations Sustainable crowdshipping using public transport: a case study evaluation in Rome Simone Serafini, Marialisa Nigro, Valerio Gatta, Edoardo Mar... Published: 01 January 2018
Transportation Research Procedia, doi: 10.1016/j.trpro.2018.09.012
DOI See at publisher website ABS Show/hide abstract
The paper analyses the willingness to act as a crowdshipper in the case of a last mile B2C e-commerce for pick up/delivery. Specifically, it focuses on crowdshipping services deployed using the public transport network and considering passengers as crowdshippers already moving for other reasons. In fact, this is the most environmental-friendly type of service one can develop given it avoids performing dedicated trips. The paper uses stated preference to identify the most important features associated with the choice of acting as a crowdshipper and discrete choice models to study the underlying behavior. The implementation case study refers to the city of Rome, Italy, and addresses its metro lines, thus understanding and quantifying the effects of this freight transport strategy for e-commerce in an urban context and providing local policy makers a good knowledge base for its future development.
Article 3 Reads 0 Citations Risk based, multi objective vehicle routing problem for hazardous materials: a test case in downstream fuel logistics Valerio Cuneo, Marialisa Nigro, Stefano Carrese, Cosimo Fede... Published: 01 January 2018
Transportation Research Procedia, doi: 10.1016/j.trpro.2018.09.006
DOI See at publisher website ABS Show/hide abstract
The paper analyses a practical case of study related to the distribution of fuels for the Total Erg Oil Company to the service stations located in the Province of Rome (Italy). The problem is formulated as a capacitated vehicle routing problem with time windows, where several heuristic procedures have been tested, considering both static and dynamic travel times. With respect to the standard operational costs used typically, a multivariable objective function has been proposed which takes into account also a new risk index. The risk index proposed is function of the population density of the zones covered by each path and of the estimated number of road accidents on each road link. In such a way, we take into account the population’s exposure to the risk associated with an incidental event involving a fuel tank. The obtained output is the set of planned routes with minimum service cost and minimum risk. Results demonstrate how an accurate planning of the service saves up to 3 hours and 30 km on a daily basis compared to a benchmark. Moreover, the distribution company can parameterize the configuration of the service, by varying the weight adopted in order to include the risk index. Including the risk index may bring to a higher safety route planning, with an increase of the operating costs of only 2%.
Article 0 Reads 3 Citations Dynamic demand estimation and prediction for traffic urban networks adopting new data sources Stefano Carrese, Ernesto Cipriani, Livia Mannini, Marialisa ... Published: 01 August 2017
Transportation Research Part C: Emerging Technologies, doi: 10.1016/j.trc.2017.05.013
DOI See at publisher website
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