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Cargo Routing and Disadvantaged Communities

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  • Jaller, Miguel
  • Pahwa, Anmol
  • Zhang, Michael

Abstract

Freight is fundamental to economic growth, however, the trucks that haul this freight are pollution intensive, emitting criteria pollutants and greenhouse gases at high rates. The increasing volume and time-sensitivity of freight demand over the past decade has encouraged carriers to take the fastest route, which is often not an eco-friendly route. The increase in urban freight movement has thus brought along negative externalities such as congestion, emissions, and noise into cities. Alternative fuel technologies, such as electric trucks and hydrogen-fuel trucks can significantly reduce freight-related emissions. However, despite their lower operational costs, the high purchase cost and consequent longer payback periods compared to traditional vehicles, have resulted in slow adoption rates. Since the need to reduce global greenhouse gas emissions and local criteria pollutants is immediate, accounting for externalities in carriers’ tactical and operational decision-making in the form of eco-routing can bring about desired reductions in emissions. The objectives of this work are to explore the possibilities and potential of eco-routing from the perspective of the carrier, in terms of cost-benefits and trade-offs, and from the perspective of the regulator, in terms of network-wide effects and policy initiatives that could encourage carriers to eco-route. This study evaluates reduction in global greenhouse emissions and local criteria pollutants, with a particular focus on direct impacts on disadvantaged communities in the Southern California Association of Governments (SCAG) region.

Suggested Citation

  • Jaller, Miguel & Pahwa, Anmol & Zhang, Michael, 2021. "Cargo Routing and Disadvantaged Communities," Institute of Transportation Studies, Working Paper Series qt9qg2318x, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt9qg2318x
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    References listed on IDEAS

    as
    1. Jaller, Miguel & Pineda, Leticia, 2017. "Warehousing and Distribution Center Facilities in Southern California: The Use of the Commodity Flow Survey Data to Identify Logistics Sprawl and Freight Generation Patterns," Institute of Transportation Studies, Working Paper Series qt5dz0j1gg, Institute of Transportation Studies, UC Davis.
    2. Erdoğan, Sevgi & Miller-Hooks, Elise, 2012. "A Green Vehicle Routing Problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 100-114.
    3. Xie, Chi, 2016. "New insights and improvements of using paired alternative segments for traffic assignmentAuthor-Name: Xie, Jun," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 406-424.
    4. Jaller, Miguel & Harvey, John & Rivera, Daniel & Kim, Changmo, 2020. "Research Brief: Spatio-Temporal Analysis of Freight Patterns in Southern California," Institute of Transportation Studies, Working Paper Series qt2h29004j, Institute of Transportation Studies, UC Davis.
    5. Scora, George & Boriboonsomsin, Kanok & Barth, Matthew, 2015. "Value of eco-friendly route choice for heavy-duty trucks," Research in Transportation Economics, Elsevier, vol. 52(C), pages 3-14.
    6. Jaller, Miguell PhD & Qian, Xiaodong PhD & Zhang, Xiuli, 2020. "E-commerce, Warehousing and Distribution Facilities in California: A Dynamic Landscape and the Impacts on Disadvantaged Communities," Institute of Transportation Studies, Working Paper Series qt1pv6t7q9, Institute of Transportation Studies, UC Davis.
    7. Bar-Gera, Hillel, 2010. "Traffic assignment by paired alternative segments," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 1022-1046, September.
    8. Sivak, Michael & Schoettle, Brandon, 2012. "Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy," Transport Policy, Elsevier, vol. 22(C), pages 96-99.
    9. Jaller, Miguel & Rivera, Daniel & Harvey, John & Kim, Changmo & Lea, Jeremy, 2020. "Spatio‐Temporal Analysis of Freight Patterns in Southern California," Institute of Transportation Studies, Working Paper Series qt1259f9s1, Institute of Transportation Studies, UC Davis.
    10. Hillel Bar-Gera, 2002. "Origin-Based Algorithm for the Traffic Assignment Problem," Transportation Science, INFORMS, vol. 36(4), pages 398-417, November.
    11. Dial, Robert B., 2006. "A path-based user-equilibrium traffic assignment algorithm that obviates path storage and enumeration," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 917-936, December.
    12. Huang, Yuhan & Ng, Elvin C.Y. & Zhou, John L. & Surawski, Nic C. & Chan, Edward F.C. & Hong, Guang, 2018. "Eco-driving technology for sustainable road transport: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 596-609.
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    More about this item

    Keywords

    Engineering; Benefit cost analysis; Environmental impacts; Freight traffic; Pollutants; Routes and routing; Traffic assignment;
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