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A two-step method to evaluate the Well-To-Wheel carbon efficiency of Urban Consolidation Centres

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  • Nocera, Silvio
  • Cavallaro, Federico

Abstract

With 25% of CO2 transport-related emissions, urban freight mobility is a relevant cause of climate change. Its optimization is a main aim of the Sustainable Urban Logistic Plans. Currently, the CO2 analysis of such plans is mostly based on a Tank-To-Wheel approach, which does not consider fuel production and distribution, thus not providing a comprehensive evaluation of its carbon effects. In this paper, we propose an alternative two-step approach: after quantifying CO2 emissions through a Well-To-Wheel methodology, which assesses the entire energy pathway of the fuel, we valuate them economically, using a meta-analysis of 700 studies. We test this model to assess the carbon potentialities of a new Urban Consolidation Centre (UCC) in the city of Lucca, Italy. Our results indicate a potential yearly saving of up to 190 tCO2 (which corresponds to about €10,000 of social cost savings). These benefits are mostly obtained through third funds, which make the investment financially sustainable for the municipality. With adequate adaptations, the model can be used in other urban areas to assess the carbon potentiality of different transport measures. Furthermore, an integration of the long-distance freight movement can provide the total CO2 contribution of freight transport.

Suggested Citation

  • Nocera, Silvio & Cavallaro, Federico, 2017. "A two-step method to evaluate the Well-To-Wheel carbon efficiency of Urban Consolidation Centres," Research in Transportation Economics, Elsevier, vol. 65(C), pages 44-55.
    • Handle: RePEc:eee:retrec:v:65:y:2017:i:c:p:44-55
    DOI: 10.1016/j.retrec.2017.04.001
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    Cited by:

    1. Limon Barua & Bo Zou & Yan Zhou & Yulin Liu, 2023. "Modeling household online shopping demand in the U.S.: a machine learning approach and comparative investigation between 2009 and 2017," Transportation, Springer, vol. 50(2), pages 437-476, April.
    2. Min-Ju Song & Young-Joon Seo & Hee-Yong Lee, 2023. "The dynamic relationship between industrialization, urbanization, CO2 emissions, and transportation modes in Korea: empirical evidence from maritime and air transport," Transportation, Springer, vol. 50(6), pages 2111-2137, December.
    3. Luis André Wernecke Fumagalli & Denis Alcides Rezende & Thiago André Guimarães, 2022. "Data Intelligence in Public Transportation: Sustainable and Equitable Solutions to Urban Modals in Strategic Digital City Subproject," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    4. Yang, Tiannuo & Chu, Zhongzhu & Wang, Bailin, 2023. "Feasibility on the integration of passenger and freight transportation in rural areas: A service mode and an optimization model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    5. Giacomo Lozzi & Gabriele Iannaccone & Ila Maltese & Valerio Gatta & Edoardo Marcucci & Riccardo Lozzi, 2022. "On-Demand Logistics: Solutions, Barriers, and Enablers," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    6. Isa, Selma Setsumi & Lima, Orlando Fontes & Vidal Vieira, José Geraldo, 2021. "Urban consolidation centers: Impact analysis by stakeholder," Research in Transportation Economics, Elsevier, vol. 90(C).
    7. Danielis, Romeo & Scorrano, Mariangela & Giansoldati, Marco, 2022. "Decarbonising transport in Europe: Trends, goals, policies and passenger car scenarios," Research in Transportation Economics, Elsevier, vol. 91(C).
    8. de Carvalho, Nayara Louise Alves & Ribeiro, Priscilla Cristina Cabral & García-Martos, Carolina & Fernández, Camino González & Vieira, José Geraldo Vidal, 2019. "Urban distribution centres in historical cities from the perspective of residents, retailers and carriers," Research in Transportation Economics, Elsevier, vol. 77(C).
    9. de Assis Brasil Weber, Natália & da Rocha, Bárbara Pacheco & Smith Schneider, Paulo & Daemme, Luiz Carlos & de Arruda Penteado Neto, Renato, 2019. "Energy and emission impacts of liquid fueled engines compared to electric motors for small size motorcycles based on the Brazilian scenario," Energy, Elsevier, vol. 168(C), pages 70-79.
    10. Garola, Giovanni & Seghezzi, Arianna & Siragusa, Chiara & Mangiaracina, Riccardo, 2022. "Sustainability in urban logistics: A literature review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 709-730, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    More about this item

    Keywords

    Urban freight transport; CO2 emissions; Well-to-wheel analysis; Urban consolidation centre; Lucca;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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