IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v59y2014icp262-277.html
   My bibliography  Save this article

The optimal shipment size and truck size choice – The allocation of trucks across hauls

Author

Listed:
  • Abate, Megersa
  • de Jong, Gerard

Abstract

There has been a growing interest in understanding how firms allocate their trucks across hauls, and how this allocation changes under various economic environments. This study investigates how variations in route/haul, carrier and vehicle characteristics affect the optimal vehicle size choice and the associated choice of shipment size. We show that the two choices are derived from the same optimization problem. There can be a continuum of shipment sizes, but decision-makers in freight transport have to choose from a limited number of vehicle alternatives. Therefore, we use a discrete–continuous econometric model where shipment size is modeled as a continuous variable, and vehicle size/type choice as a discrete variable. The results indicate that when faced with higher demand, and during longer trips firms are more likely to use heavier vehicles and ship in larger quantities which suggest that firms are realizing economies of scale and economies of distance. The study also discusses the effect of vehicle operating cost on the vehicle selection process and its policy implications.

Suggested Citation

  • Abate, Megersa & de Jong, Gerard, 2014. "The optimal shipment size and truck size choice – The allocation of trucks across hauls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 262-277.
  • Handle: RePEc:eee:transa:v:59:y:2014:i:c:p:262-277
    DOI: 10.1016/j.tra.2013.11.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856413002346
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2013.11.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Panayotis Christidis & Guillaume Leduc, 2009. "Longer and Heavier Vehicles for Freight Transport," JRC Research Reports JRC52005, Joint Research Centre.
    2. Megersa Abate, 2014. "Determinants of Capacity Utilisation in Road Freight Transportation," Journal of Transport Economics and Policy, University of Bath, vol. 48(1), pages 137-152, January.
    3. Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
    4. Bhat, Chandra R. & Sen, Sudeshna, 2006. "Household vehicle type holdings and usage: an application of the multiple discrete-continuous extreme value (MDCEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 35-53, January.
    5. Randolph W. Hall, 1985. "Dependence between Shipment Size and Mode in Freight Transportation," Transportation Science, INFORMS, vol. 19(4), pages 436-444, November.
    6. Inaba, Fred S & Wallace, Nancy E, 1989. "Spatial Price Competition and the Demand for Freight Transportation," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 614-625, November.
    7. Shah, Nilopa & Brueckner, Jan K., 2012. "Price and frequency competition in freight transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 938-953.
    8. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    9. Thomas N. Hubbard, 2000. "The Demand for Monitoring Technologies: The Case of Trucking," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 533-560.
    10. McCann, Philip, 2001. "A proof of the relationship between optimal vehicle size, haulage length and the structure of distance-transport costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 671-693, September.
    11. Lung-Fei Lee, 1982. "Some Approaches to the Correction of Selectivity Bias," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 49(3), pages 355-372.
    12. Philippe Barla & Denis Bolduc & Nathalie Boucher & Jonathan Watters, 2010. "Information technology and efficiency in trucking," Canadian Journal of Economics, Canadian Economics Association, vol. 43(1), pages 254-279, February.
    13. Blumenfeld, Dennis E. & Burns, Lawrence D. & Diltz, J. David & Daganzo, Carlos F., 1985. "Analyzing trade-offs between transportation, inventory and production costs on freight networks," Transportation Research Part B: Methodological, Elsevier, vol. 19(5), pages 361-380, October.
    14. Thomas N. Hubbard, 2003. "Information, Decisions, and Productivity: On-Board Computers and Capacity Utilization in Trucking," American Economic Review, American Economic Association, vol. 93(4), pages 1328-1353, September.
    15. George P. Baker & Thomas N. Hubbard, 2003. "Make Versus Buy in Trucking: Asset Ownership, Job Design, and Information," American Economic Review, American Economic Association, vol. 93(3), pages 551-572, June.
    16. Gordon B. Dahl, 2002. "Mobility and the Return to Education: Testing a Roy Model with Multiple Markets," Econometrica, Econometric Society, vol. 70(6), pages 2367-2420, November.
    17. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    18. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    19. de Jong, Gerard & Ben-Akiva, Moshe, 2007. "A micro-simulation model of shipment size and transport chain choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 950-965, November.
    20. Erik Lindqvist & Roine Vestman, 2011. "The Labor Market Returns to Cognitive and Noncognitive Ability: Evidence from the Swedish Enlistment," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 101-128, January.
    21. Schmertmann, Carl P., 1994. "Selectivity bias correction methods in polychotomous sample selection models," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 101-132.
    22. Shirley, Chad & Winston, Clifford, 2004. "Firm inventory behavior and the returns from highway infrastructure investments," Journal of Urban Economics, Elsevier, vol. 55(2), pages 398-415, March.
    23. W. J. Baumol & H. D. Vinod, 1970. "An Inventory Theoretic Model of Freight Transport Demand," Management Science, INFORMS, vol. 16(7), pages 413-421, March.
    24. François Combes, 2013. "On Shipment Size and Freight Tariffs Technical Constraints and Equilibrium Prices," Journal of Transport Economics and Policy, University of Bath, vol. 47(2), pages 229-243, May.
    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. Vierth , Inge & Lindgren, Samuel & de Jong, Gerard & Baak , Jaap & Hovi , Inger Beate & Berglund , Moa & Edwards, Henrik, 2017. "Recommendation for a new commodity classification for the national freight model Samgods," Working papers in Transport Economics 2017:11, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    2. Ni, Linglin & Wang, Xiaokun, 2021. "Load factors of less-than-truckload delivery tours: An analysis with operation data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    3. Abate , Megersa & Vierth , Inge & Karlsson , Rune & de Jong , Gerard & Baak , Jaap, 2016. "Estimation and implementation of joint econometric models of freight transport chain and shipment size choice," Working papers in Transport Economics 2016:1, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    4. Bray, Garrett & Cebon, David, 2022. "Selection of vehicle size and extent of multi-drop deliveries for autonomous goods vehicles: An assessment of potential for change," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    5. Piendl, Raphael & Matteis, Tilman & Liedtke, Gernot, 2019. "A machine learning approach for the operationalization of latent classes in a discrete shipment size choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 149-161.
    6. Ng, Max T.M. & Hernandez, Adrian & Durango-Cohen, Pablo L. & Mahmassani, Hani S., 2024. "Trading off energy storage and payload – An analytical model for freight train configuration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    7. Usman Ahmed & Matthew J. Roorda, 2023. "Joint and sequential models for freight vehicle type and shipment size choice," Transportation, Springer, vol. 50(5), pages 1613-1629, October.
    8. Günay, Gürkan, 2023. "Shipment size and vehicle choice modeling for road freight transport: A geographical perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    9. Martin Koning & François Combes & Raphael Piendl & Gernot Liedtke, 2018. "Transferability of models for logistics behaviors: A cross-country comparison between France and Germany for shipment size choice [La transférabilité des modèles de comportements logistiques : Une ," Post-Print hal-01916081, HAL.
    10. Irannezhad, Elnaz & Prato, Carlo & Hickman, Mark, 2019. "A joint hybrid model of the choices of container terminals and of dwell time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 119-133.
    11. Igor Taran & Asem Karsybayeva & Vitalii Naumov & Kenzhegul Murzabekova & Marzhan Chazhabayeva, 2023. "Fuzzy-Logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products Deliveries in Kazakhstan," Sustainability, MDPI, vol. 15(5), pages 1-14, February.
    12. Piendl, Raphael & Liedtke, Gernot & Matteis, Tilman, 2017. "A logit model for shipment size choice with latent classes – Empirical findings for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 188-201.
    13. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    14. Holguín-Veras, José & Kalahasthi, Lokesh & Campbell, Shama & González-Calderón, Carlos A. & (Cara) Wang, Xiaokun, 2021. "Freight mode choice: Results from a nationwide qualitative and quantitative research effort," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 78-120.
    15. Abate, Megersa & Vierth, Inge & de Jong , Gerard, 2014. "Joint econometric models of freight transport chain and shipment size choice," Working papers in Transport Economics 2014:9, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    16. Raphael Piendl & Martin Koning & François Combes & Gernot Liedtke, 2022. "Building latent segments of goods to improve shipment size modeling: Confirmatory evidence from France," Post-Print hal-04117547, HAL.
    17. Sahu, Prasanta K. & Qureshi, Danish & Pani, Agnivesh, 2022. "Examining commercial vehicle fleet ownership decisions and the mediating role of freight generation: A structural equation modeling assessment," Transport Policy, Elsevier, vol. 126(C), pages 26-33.
    18. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    19. Keya, Nowreen & Anowar, Sabreena & Eluru, Naveen, 2019. "Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 97-115.
    20. Megersa Abate & Inge Vierth & Rune Karlsson & Gerard Jong & Jaap Baak, 2019. "A disaggregate stochastic freight transport model for Sweden," Transportation, Springer, vol. 46(3), pages 671-696, June.
    21. Leise Kelli de Oliveira & Bruno Vieira Bertoncini & Carla de Oliveira Leite Nascimento & Lara Braide Rocha & Larissa Almeida Matias de Lima Batista & Leonardo Ventorim Cellin, 2019. "Factors Affecting the Choice of Urban Freight Vehicles: Issues Related to Brazilian Companies," Sustainability, MDPI, vol. 11(24), pages 1-11, December.

    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. Stéphane Couture & Serge Garcia & Arnaud Reynaud, 2009. "Household Energy Choices and Fuelwood Consumption: An Econometric Approach to the French Data," LERNA Working Papers 09.08.284, LERNA, University of Toulouse.
    2. Zhao, Shangwei & Xie, Tian & Ai, Xin & Yang, Guangren & Zhang, Xinyu, 2023. "Correcting sample selection bias with model averaging for consumer demand forecasting," Economic Modelling, Elsevier, vol. 123(C).
    3. François Bourguignon & Martin Fournier & Marc Gurgand, 2007. "Selection Bias Corrections Based On The Multinomial Logit Model: Monte Carlo Comparisons," Journal of Economic Surveys, Wiley Blackwell, vol. 21(1), pages 174-205, February.
    4. McFadden, Jonathan & Miranowski, John, "undated". "Climate Change Impacts on the Intensive and Extensive Margins of US Agricultural Land," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170512, Agricultural and Applied Economics Association.
    5. McFadden, Jonathan R., 2015. "Essays on climate change adaptation and biotechnologies in U.S. agriculture," ISU General Staff Papers 201501010800005635, Iowa State University, Department of Economics.
    6. Hanemann, Michael & Labandeira, Xavier & Labeaga, José M. & Vásquez-Lavín, Felipe, 2024. "Discrete-continuous models of residential energy demand: A comprehensive review," Resource and Energy Economics, Elsevier, vol. 77(C).
    7. Couture, Stéphane & Garcia, Serge & Reynaud, Arnaud, 2012. "Household energy choices and fuelwood consumption: An econometric approach using French data," Energy Economics, Elsevier, vol. 34(6), pages 1972-1981.
    8. Patrick Kline & Christopher R. Walters, 2016. "Evaluating Public Programs with Close Substitutes: The Case of HeadStart," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1795-1848.
    9. Zhang, Yu, 2013. "Does private tutoring improve students’ National College Entrance Exam performance?—A case study from Jinan, China," Economics of Education Review, Elsevier, vol. 32(C), pages 1-28.
    10. Robert Breunig & Joseph Mercante, 2010. "The Accuracy of Predicted Wages of the Non‐Employed and Implications for Policy Simulations from Structural Labour Supply Models," The Economic Record, The Economic Society of Australia, vol. 86(272), pages 49-70, March.
    11. Mansur, Erin T. & Mendelsohn, Robert & Morrison, Wendy, 2008. "Climate change adaptation: A study of fuel choice and consumption in the US energy sector," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 175-193, March.
    12. Breustedt, Gunnar & Schulz, Norbert & Latacz-Lohmann, Uwe, 2013. "Kalibrierung von Vertragsnaturschutzprogrammen mittels eines zweistufigen Discrete-Choice-Experimentes," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(04), pages 1-17, November.
    13. Guaracyane Lima Campelo & João Mário Santos De França & Emerson Luís Lemos Marinho, 2016. "Impacts Of Malnutrition On Labor Productivity: Empirical Evidences In Rural Brazil," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 236, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    14. Sergi Jiménez-Martín & Cristina Prieto, 2012. "The trade-off between formal and informal care in Spain," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(4), pages 461-490, August.
    15. Aleksandra Anić & Gorana Krstić, 2019. "What Lies Behind The Gender Wage Gap In Serbia?," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(223), pages 137-170, October –.
    16. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    17. Espenlaub, Susanne & Khurshed, Arif & Mohamed, Abdulkadir, 2014. "Does cross-border syndication affect venture capital risk and return?," International Review of Financial Analysis, Elsevier, vol. 31(C), pages 13-24.
    18. Miguel Santolino & Magnus Söderberg, 2014. "Modelling appellate courts’ responses in motor injury disputes," European Journal of Law and Economics, Springer, vol. 38(3), pages 393-407, December.
    19. Bertoli, S. & Fernández-Huertas Moraga, J. & Ortega, F., 2013. "Crossing the border: Self-selection, earnings and individual migration decisions," Journal of Development Economics, Elsevier, vol. 101(C), pages 75-91.
    20. Raquel Carrasco & J Ignacio García-Pérez & Juan F Jimeno, 2024. "Worker flows and wage dynamics: estimating wage growth without composition effects," Oxford Economic Papers, Oxford University Press, vol. 76(1), pages 94-114.

    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:eee:transa:v:59:y:2014:i:c:p:262-277. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.