IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i24p7010-d295595.html
   My bibliography  Save this article

Factors Affecting the Choice of Urban Freight Vehicles: Issues Related to Brazilian Companies

Author

Listed:
  • Leise Kelli de Oliveira

    (Department of Transport and Geotechnical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte 31.270-901, Brazil)

  • Bruno Vieira Bertoncini

    (Transportation Engineering Department, Universidade Federal do Ceará, Fortaleza 60.440-554, Brazil)

  • Carla de Oliveira Leite Nascimento

    (Department of Transport and Geotechnical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte 31.270-901, Brazil)

  • Lara Braide Rocha

    (Transportation Engineering Department, Universidade Federal do Ceará, Fortaleza 60.440-554, Brazil)

  • Larissa Almeida Matias de Lima Batista

    (Transportation Engineering Department, Universidade Federal do Ceará, Fortaleza 60.440-554, Brazil)

  • Leonardo Ventorim Cellin

    (Department of Transport and Geotechnical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte 31.270-901, Brazil)

Abstract

In this paper, we present the attributes that influence the choice of an urban freight vehicle by using a systematic literature review and a survey conducted with logistics operators that perform urban deliveries in some of the biggest cities in Brazil. The results obtained facilitate the analysis and determination of the main attributes of vehicle selection in some cities of Brazil. Descriptive statistics are used to describe the characteristics of the companies, and a principal component analysis identifies the dependent variables, in order to evaluate the importance of each attribute. Also, an ordered logistic regression model is used to identify if the characteristics of the companies influence the choice of an urban freight vehicle. The results of this analysis indirectly indicate the dependence of the decision-making process on the logistics policies implemented in a given city. These attributes agree with those in the literature review. These results, despite of being evident, are different from the present selection criteria, which depend on local city policies.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:24:p:7010-:d:295595
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/24/7010/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/24/7010/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. O. Norojono & W. Young, 2003. "A Stated preference freight mode choice model," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(2), pages 1-1, April.
    2. Shinghal, Nalin & Fowkes, Tony, 2002. "Freight mode choice and adaptive stated preferences," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 367-378, September.
    3. Nam, Ki-Chan, 1997. "A study on the estimation and aggregation of disaggregate models of mode choice for freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 33(3), pages 223-231, September.
    4. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    5. 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.
    6. Cullinane, Kevin & Toy, Neal, 2000. "Identifying influential attributes in freight route/mode choice decisions: a content analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(1), pages 41-53, March.
    7. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    8. Puckett, Sean M. & Hensher, David A., 2008. "The role of attribute processing strategies in estimating the preferences of road freight stakeholders," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 379-395, May.
    9. Arencibia, Ana Isabel & Feo-Valero, María & García-Menéndez, Leandro & Román, Concepción, 2015. "Modelling mode choice for freight transport using advanced choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 252-267.
    10. Rich, J. & Holmblad, P.M. & Hansen, C.O., 2009. "A weighted logit freight mode-choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 1006-1019, November.
    11. Friendly M., 2002. "Corrgrams: Exploratory Displays for Correlation Matrices," The American Statistician, American Statistical Association, vol. 56, pages 316-324, November.
    12. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer;The Psychometric Society, vol. 39(1), pages 31-36, March.
    13. András Vargha & Harold D. Delaney, 1998. "The Kruskal-Wallis Test and Stochastic Homogeneity," Journal of Educational and Behavioral Statistics, , vol. 23(2), pages 170-192, June.
    14. Andrew S. Fullerton, 2009. "A Conceptual Framework for Ordered Logistic Regression Models," Sociological Methods & Research, , vol. 38(2), pages 306-347, November.
    15. Abdelwahab, Walid M., 1998. "Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice/shipment-size freight transport model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(4), pages 257-266, December.
    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. 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).
    2. Adel A. Zadeh & Yunxin Peng & Sheila M. Puffer & Myles D. Garvey, 2022. "Sustainable Sand Substitutes in the Construction Industry in the United States and Canada: Assessing Stakeholder Awareness," Sustainability, MDPI, vol. 14(13), pages 1-26, June.

    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. 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).
    2. Rich, J. & Kveiborg, O. & Hansen, C.O., 2011. "On structural inelasticity of modal substitution in freight transport," Journal of Transport Geography, Elsevier, vol. 19(1), pages 134-146.
    3. Tapia, Rodrigo Javier & dos Santos Senna, Luiz Afonso & Larranaga, Ana Margarita & Cybis, Helena Beatriz Bettella, 2019. "Joint mode and port choice for soy production in Buenos Aires province, Argentina," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 100-118.
    4. 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.
    5. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    6. Thi Yen Pham & Ki Young Kim & Gi-Tae YEO, 2018. "The Panama Canal Expansion and Its Impact on East–West Liner Shipping Route Selection," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    7. Li, Qinglin & Rezaei, Jafar & Tavasszy, Lori & Wiegmans, Bart & Guo, Jingwei & Tang, Yinying & Peng, Qiyuan, 2020. "Customers’ preferences for freight service attributes of China Railway Express," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 225-236.
    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. Zhuo Zhang & Dezhi Zhang & Lóránt A. Tavasszy & Qinglin Li, 2020. "Multicriteria Intermodal Freight Network Optimal Problem with Heterogeneous Preferences under Belt and Road Initiative," Sustainability, MDPI, vol. 12(24), pages 1-24, December.
    10. Jawaher Binsuwadan & Gerard De Jong & Richard Batley & Phill Wheat, 2022. "The value of travel time savings in freight transport: a meta-analysis," Transportation, Springer, vol. 49(4), pages 1183-1209, August.
    11. 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).
    12. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.
    13. Reis, Vasco, 2014. "Analysis of mode choice variables in short-distance intermodal freight transport using an agent-based model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 100-120.
    14. Ralf Elbert & Lowis Seikowsky, 2017. "The influences of behavioral biases, barriers and facilitators on the willingness of forwarders’ decision makers to modal shift from unimodal road freight transport to intermodal road–rail freight tra," Journal of Business Economics, Springer, vol. 87(8), pages 1083-1123, November.
    15. Dong Yang & Ghim Ping Ong & Anthony Theng Heng Chin, 2014. "An exploratory study on the effect of trade data aggregation on international freight mode choice," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(3), pages 212-223, May.
    16. Feo-Valero, María & Arencibia, Ana Isabel & Román, Concepción, 2016. "Analyzing discrepancies between willingness to pay and willingness to accept for freight transport attributes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 151-164.
    17. Khakdaman, Masoud & Rezaei, Jafar & Tavasszy, Lóránt A., 2020. "Shippers’ willingness to delegate modal control in freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    18. Truschkin, Eugen & Elbert, Ralf, 2013. "Horizontal transshipment technologies as enablers of combined transport: Impact of transport policies on the modal split," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 91-109.
    19. Rowangould, Gregory, 2013. "Public financing of private freight rail infrastructure to reduce highway congestion: A case study of public policy and decision making in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 25-36.
    20. Tapia, Rodrigo J. & de Jong, Gerard & Larranaga, Ana M. & Bettella Cybis, Helena B., 2020. "Application of MDCEV to infrastructure planning in regional freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 255-271.

    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:gam:jsusta:v:11:y:2019:i:24:p:7010-:d:295595. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.