IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt64k579cv.html
   My bibliography  Save this paper

Fostering the Use of Zero and Near Zero Emission Vehicles in Freight Operations

Author

Listed:
  • Jaller, Miguel
  • Pineda, Leticia
  • Gueldas, Yasar
  • Alemi, Farzad
  • Otay, Irem

Abstract

California is in the midst of improving its freight system. For example, the California Sustainable Freight Action Plan (CSFAP) established the goal of reaching a 25% increase in freight efficiency, the use of 100,000 zero emission vehicles and equipment (and maximize the number of near zero emission vehicles) in the system, and improving economic competitiveness. Although there are multiple strategies and approaches to help achieve these goals, this study focuses on analyzing the factors to foster the adoption of zero and near-zero emission vehicles. For example, the use of monetary and non-monetary incentives to elucidate behavioral changes (e.g., fleet purchase decisions). This study considered compressed (renewable) natural gas (CNG/RNG), hybrid electric (HE), battery electric (BE) and fuel-cell hydrogen (H2) vehicles. The research team collected information through a web-based stated preference survey sent (in two waves) to fleets and carrier companies to gather data about their economics, and their vehicle purchase preferences. However, the response rate was very small which limited the type of analyses conducted with the data. Alternatively, the study team developed a multi-criteria decision-making tool using a Spherical Fuzzy Analytical Hierarchy Process based on experts’ knowledge. The approach considered the variability in the technical and operational characteristics, market readiness, and other factors related to these technologies. The model helped provides insights about the most appropriate options for different uses (e.g., last mile, long-haul distribution). Specifically, the authors evaluate the alternatives using five criteria: economic; business, incentives & market-related; environmental & regulatory; infrastructure; and safety & vehicle performance factors. The analyses also consider twenty-one sub-criteria, e.g., total cost of ownership, payback period, brand image, financial & non-financial incentives, and public/private fueling/ charging infrastructure availability. View the NCST Project Webpage

Suggested Citation

  • Jaller, Miguel & Pineda, Leticia & Gueldas, Yasar & Alemi, Farzad & Otay, Irem, 2020. "Fostering the Use of Zero and Near Zero Emission Vehicles in Freight Operations," Institute of Transportation Studies, Working Paper Series qt64k579cv, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt64k579cv
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/64k579cv.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Börsch-Supan, Axel & Moshe Ben-Akiva & Kenneth Train & Daniel McFadden, 2002. "Hybrid Choice Models: Progress and Challenges," MEA discussion paper series 02009, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    2. Klemick, Heather & Kopits, Elizabeth & Wolverton, Ann & Sargent, Keith, 2015. "Heavy-duty trucking and the energy efficiency paradox: Evidence from focus groups and interviews," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 154-166.
    3. Holguín-Veras, José & Wang, Xiaokun (Cara) & Sánchez-Díaz, Iván & Campbell, Shama & Hodge, Stacey D. & Jaller, Miguel & Wojtowicz, Jeffrey, 2017. "Fostering unassisted off-hour deliveries: The role of incentives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 172-187.
    4. Miller, Marshall & Wang, Qian & Fulton, Lew, 2017. "Truck Choice Modeling: Understanding California's Transition to Zero-Emission Vehicle Trucks Taking into Account Truck Technologies, Costs, and Fleet Decision Behavior," Institute of Transportation Studies, Working Paper Series qt1xt3k10x, Institute of Transportation Studies, UC Davis.
    5. Davis, Brian A. & Figliozzi, Miguel A., 2013. "A methodology to evaluate the competitiveness of electric delivery trucks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 8-23.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaller, Miguel PhD & Xiao, Runhua Ivan, 2023. "The Effects of Truck Idling and Searching for Parking on Disadvantaged Communities," Institute of Transportation Studies, Working Paper Series qt9w28d01h, Institute of Transportation Studies, UC Davis.
    2. Trinko, David & Horesh, Noah & Porter, Emily & Dunckley, Jamie & Miller, Erika & Bradley, Thomas, 2023. "Transportation and electricity systems integration via electric vehicle charging-as-a-service: A review of techno-economic and societal benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Trinko, David & Horesh, Noah & Porter, Emily & Dunckley, Jamie & Miller, Erika & Bradley, Thomas, 2023. "Transportation and electricity systems integration via electric vehicle charging-as-a-service: A review of techno-economic and societal benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    2. Christopher Boyce & Mikołaj Czajkowski & Nick Hanley & Charles Noussair & Michael Townsend & Steve Tucker, 2015. "The effects of emotions on preferences and choices for public goods," Working Papers 2015-13, Faculty of Economic Sciences, University of Warsaw.
    3. Boyce, Christopher & Czajkowski, Mikołaj & Hanley, Nick, 2019. "Personality and economic choices," Journal of Environmental Economics and Management, Elsevier, vol. 94(C), pages 82-100.
    4. Hwang, Jinuk & Kim, Seheon, 2023. "Autonomous vehicle transportation service for people with disabilities: Policy recommendations based on the evidence from hybrid choice model," Journal of Transport Geography, Elsevier, vol. 106(C).
    5. Annesha Enam & Charisma F. Choudhury, 2013. "A comprehensive model to capture the preference for mass rapid transit in Dhaka," Chapters, in: Stephane Hess & Andrew Daly (ed.), Choice Modelling, chapter 8, pages 172-192, Edward Elgar Publishing.
    6. Mandys, F., 2021. "Electric vehicles and consumer choices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    7. Arkoudi, Ioanna & Krueger, Rico & Azevedo, Carlos Lima & Pereira, Francisco C., 2023. "Combining discrete choice models and neural networks through embeddings: Formulation, interpretability and performance," Transportation Research Part B: Methodological, Elsevier, vol. 175(C).
    8. Holguín-Veras, José & Campbell, Shama & Kalahasthi, Lokesh & Wang, Cara, 2017. "Role and potential of a trusted vendor certification program to foster adoption of unassisted off-hour deliveries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 157-171.
    9. Jennifer Roberts & Gurleen Popli & Rosemary J. Harris, 2018. "Do environmental concerns affect commuting choices?: hybrid choice modelling with household survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 299-320, January.
    10. Khraibani, R. & de Palma, A. & Picard, N. & Kaysi, I., 2016. "A new evaluation and decision making framework investigating the elimination-by-aspects model in the context of transportation projects' investment choices," Transport Policy, Elsevier, vol. 48(C), pages 67-81.
    11. Faccioli, Michela & Czajkowski, Mikołaj & Glenk, Klaus & Martin-Ortega, Julia, 2020. "Environmental attitudes and place identity as determinants of preferences for ecosystem services," Ecological Economics, Elsevier, vol. 174(C).
    12. Tharsis Teoh & Oliver Kunze & Chee-Chong Teo & Yiik Diew Wong, 2018. "Decarbonisation of Urban Freight Transport Using Electric Vehicles and Opportunity Charging," Sustainability, MDPI, vol. 10(9), pages 1-20, September.
    13. Muhammad Zudhy Irawan & Prawira Fajarindra Belgiawan & Tri Basuki Joewono & Nurvita I. M. Simanjuntak, 2020. "Do motorcycle-based ride-hailing apps threaten bus ridership? A hybrid choice modeling approach with latent variables," Public Transport, Springer, vol. 12(1), pages 207-231, March.
    14. Moshe Ben-Akiva & André Palma & Daniel McFadden & Maya Abou-Zeid & Pierre-André Chiappori & Matthieu Lapparent & Steven Durlauf & Mogens Fosgerau & Daisuke Fukuda & Stephane Hess & Charles Manski & Ar, 2012. "Process and context in choice models," Marketing Letters, Springer, vol. 23(2), pages 439-456, June.
    15. David Gaker & Joan L. Walker, 2013. "Revealing the Value of “Green” and the Small Group with a Big Heart in Transportation Mode Choice," Sustainability, MDPI, vol. 5(7), pages 1-15, July.
    16. Rungie, Cam & Scarpa, Riccardo & Thiene, Mara, 2014. "The influence of individuals in forming collective household preferences for water quality," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 161-174.
    17. Nils Boysen & Dirk Briskorn & Stefan Schwerdfeger, 2023. "How to charge while driving: scheduling point-to-point deliveries of an electric vehicle under overhead wiring," Journal of Scheduling, Springer, vol. 26(1), pages 19-41, February.
    18. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2021. "Who are less likely to vote for a low emission charging zone? Attitudes and adoption of hybrid and electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 29-43.
    19. Oluwagbenga Akinwehinmi & Kolawole Ogundari & Taye Timothy Amos, 2022. "Consumers’ food control risk perception and preference for food safety certification in emerging food markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(3), pages 690-708, September.
    20. Nikiforiadis, Andreas & Paschalidis, Evangelos & Stamatiadis, Nikiforos & Paloka, Ntonata & Tsekoura, Eleni & Basbas, Socrates, 2023. "E-scooters and other mode trip chaining: Preferences and attitudes of university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).

    More about this item

    Keywords

    Business; Social and Behavioral Sciences; Behavior; Forecasting; Freight transportation; Incentives; Market penetration; Surveys; Travel demand; Trucks; Zero emission vehicles;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt64k579cv. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.