IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i16p10300-d891919.html
   My bibliography  Save this article

Modelling Freight Trip Generation Based on Deliveries for Brazilian Municipalities

Author

Listed:
  • Leise Kelli de Oliveira

    (Department of Transportation and Geotechnical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil
    Postgraduate Program in Civil Engineering, Federal University of Pernambuco, Recife 50670-901, Brazil)

  • Gracielle Gonçalves Ferreira de Araújo

    (Postgraduate Program in Civil Engineering, Federal University of Pernambuco, Recife 50670-901, Brazil)

  • Bruno Vieira Bertoncini

    (Postgraduate Program in Transport Engineering, Federal University of Ceará, Fortaleza 60455-760, Brazil)

  • Carlos David Pedrosa

    (Postgraduate Program in Transport Engineering, Federal University of Ceará, Fortaleza 60455-760, Brazil)

  • Francisco Gildemir Ferreira da Silva

    (Economy Graduate Program, Universidade Federal do Ceará, Fortaleza 60020-060, Brazil)

Abstract

Freight trip generation modelling is important for forecasting freight movements, and understanding freight movements is crucial to enabling sustainable freight transportation planning. The existing literature focuses on model development, and most of the previous models are estimated by ordinary least squares regression. However, few studies have carefully considered the OLS assumptions. The objective of this paper is to estimate freight trip generation models using deliveries to commercial establishments in Brazilian municipalities. A procedure is described to estimate models by ordinary least squares (OLS), and alternative techniques are considered to address the violations of the OLS assumptions. The analysis was conducted with data from 860 commercial establishments in nine Brazilian municipalities, and models were estimated for capital, non-capital, small, medium, and larger municipalities. The findings showed that alternative techniques to OLS regression can provide better-estimated parameters and more accurate results. Not evaluating the OLS assumptions could compromise the quality of the model and, consequently, planning using these models. Moreover, the results showed that the number of employees has a more significant influence in small cities and a lower influence in medium-sized municipalities. Finally, the findings demonstrated the importance of local models that include the municipalities’ characteristics and that can support freight transportation planning. These models can also include sustainable strategies for freight transport.

Suggested Citation

  • Leise Kelli de Oliveira & Gracielle Gonçalves Ferreira de Araújo & Bruno Vieira Bertoncini & Carlos David Pedrosa & Francisco Gildemir Ferreira da Silva, 2022. "Modelling Freight Trip Generation Based on Deliveries for Brazilian Municipalities," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10300-:d:891919
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/16/10300/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/16/10300/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sanchez-Diaz, Ivan, 2020. "Assessing the magnitude of freight traffic generated by office deliveries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 279-289.
    2. Leise K. Oliveira & Betty Barraza & Bruno V. Bertocini & Cassiano A. Isler & Dannúbia R. Pires & Ellen C. N. Madalon & Jéssica Lima & José G. V. Vieira & Leonardo H. Meira & Lilian S. F. P. Bracarense, 2018. "An Overview of Problems and Solutions for Urban Freight Transport in Brazilian Cities," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    3. Puente-Mejia, Bernardo & Palacios-Argüello, Laura & Suárez-Núñez, Carlos & Gonzalez-Feliu, Jesus, 2020. "Freight trip generation modeling and data collection processes in Latin American cities. Modeling framework for Quito and generalization issues," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 226-241.
    4. Holguín-Veras, José & Amaya Leal, Johanna & Sanchez-Diaz, Ivan & Browne, Michael & Wojtowicz, Jeffrey, 2020. "State of the art and practice of urban freight management Part II: Financial approaches, logistics, and demand management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 383-410.
    5. Lixing Zhu & Hengjian Cui, 2003. "A Semi‐parametric Regression Model with Errors in Variables," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(2), pages 429-442, June.
    6. Iván Sánchez-Díaz & José Holguín-Veras & Xiaokun Wang, 2016. "An exploratory analysis of spatial effects on freight trip attraction," Transportation, Springer, vol. 43(1), pages 177-196, January.
    7. Marcelo Werneck Barbosa & Paulo Renato de Sousa & Leise Kelli de Oliveira, 2022. "The Effects of Barriers and Freight Vehicle Restrictions on Logistics Costs: A Comparison before and during the COVID-19 Pandemic in Brazil," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    8. Demostenis Ramos Cassiano & Bruno Vieira Bertoncini & Leise Kelli de Oliveira, 2021. "A Conceptual Model Based on the Activity System and Transportation System for Sustainable Urban Freight Transport," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    9. Pani, Agnivesh & Sahu, Prasanta K. & Chandra, Aitichya & Sarkar, Ashoke K., 2019. "Assessing the extent of modifiable areal unit problem in modelling freight (trip) generation: Relationship between zone design and model estimation results," Journal of Transport Geography, Elsevier, vol. 80(C).
    10. Cheah, Lynette & Mepparambath, Rakhi Manohar & Ricart Surribas, Gabriella Marie, 2021. "Freight trips generated at retail malls in dense urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 118-131.
    11. Iván Sánchez-Díaz & José Holguín-Veras & Xiaokun Wang, 2016. "An exploratory analysis of spatial effects on freight trip attraction," Transportation, Springer, vol. 43(1), pages 177-196, January.
    12. Diomo Motuba & Denver Tolliver, 2017. "Truck trip generation in small- and medium-sized urban areas," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(3), pages 327-339, April.
    13. Mounisai Siddartha Middela & Gitakrishnan Ramadurai, 2021. "Incorporating spatial interactions in zero-inflated negative binomial models for freight trip generation," Transportation, Springer, vol. 48(5), pages 2335-2356, October.
    14. McLeod, Sam & Schapper, Jake H.M. & Curtis, Carey & Graham, Giles, 2019. "Conceptualizing freight generation for transport and land use planning: A review and synthesis of the literature," Transport Policy, Elsevier, vol. 74(C), pages 24-34.
    15. Prasanta K. Sahu & Agnivesh Pani, 2020. "Freight generation and geographical effects: modelling freight needs of establishments in developing economies and analyzing their geographical disparities," Transportation, Springer, vol. 47(6), pages 2873-2902, December.
    16. Comi, Antonio & Delle Site, Paolo & Filippi, Francesco & Nuzzolo, Agostino, 2012. "Urban Freight Transport Demand Modelling: a State of the Art," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 51, pages 1-8.
    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. Márquez, Luis & Cantillo, Víctor & Paternina-Arboleda, Carlos D., 2024. "Temporal accessibility and freight generation of agricultural products: An empirical study in Colombia," Research in Transportation Economics, Elsevier, vol. 104(C).
    2. Middela, Mounisai Siddartha & Ramadurai, Gitakrishnan, 2024. "Effect of the measurement period and spatial dependence on the accuracy of urban freight trip generation models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(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. Middela, Mounisai Siddartha & Ramadurai, Gitakrishnan, 2024. "Effect of the measurement period and spatial dependence on the accuracy of urban freight trip generation models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    2. Cheah, Lynette & Mepparambath, Rakhi Manohar & Ricart Surribas, Gabriella Marie, 2021. "Freight trips generated at retail malls in dense urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 118-131.
    3. 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).
    4. Reda, Abel Kebede & Tavasszy, Lori & Gebresenbet, Girma & Ljungberg, David, 2023. "Modelling the effect of spatial determinants on freight (trip) attraction: A spatially autoregressive geographically weighted regression approach," Research in Transportation Economics, Elsevier, vol. 99(C).
    5. Demostenis Ramos Cassiano & Bruno Vieira Bertoncini & Leise Kelli de Oliveira, 2021. "A Conceptual Model Based on the Activity System and Transportation System for Sustainable Urban Freight Transport," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    6. Chandra, Aitichya & Sharath, M.N. & Pani, Agnivesh & Sahu, Prasanta K., 2021. "A multi-objective genetic algorithm approach to design optimal zoning systems for freight transportation planning," Journal of Transport Geography, Elsevier, vol. 92(C).
    7. Regal, Andrés & Gonzalez-Feliu, Jesús & Rodriguez, Michelle, 2023. "A spatio-functional logistics profile clustering analysis method for metropolitan areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    8. Pani, Agnivesh & Sahu, Prasanta K. & Tavasszy, Lóránt & Mishra, Sabya, 2023. "Freight activity-travel pattern generation (FAPG) as an enhancement of freight (trip) generation modelling: Methodology and case study," Transport Policy, Elsevier, vol. 144(C), pages 34-48.
    9. Gonzalez-Feliu, Jesus & Sánchez-Díaz, Iván, 2019. "The influence of aggregation level and category construction on estimation quality for freight trip generation models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 134-148.
    10. Holguín-Veras, José & Ramirez-Rios, Diana & Pérez-Guzmán, Sofía, 2021. "Time-dependent patterns in freight trip generation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 423-444.
    11. Balla, Bhavani Shankar & Sahu, Prasanta K., 2023. "Assessing regional transferability and updating of freight generation models to reduce sample size requirements in national freight data collection program," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    12. Beckers, Joris & Cardenas, Ivan & Sanchez-Diaz, Ivan, 2022. "Managing household freight: The impact of online shopping on residential freight trips," Transport Policy, Elsevier, vol. 125(C), pages 299-311.
    13. Sanchez-Diaz, Ivan, 2020. "Assessing the magnitude of freight traffic generated by office deliveries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 279-289.
    14. Rivera-Gonzalez, Carlos & Amaral, Julia C., 2024. "Assessment of freight accessibility in New York City: A spatial-temporal approach," Journal of Transport Geography, Elsevier, vol. 114(C).
    15. Sonagnon Hounwanou & Natacha Gondran & Jesus Gonzalez-Feliu, 2016. "Retail location and freight flow generation: proposition of a method estimating upstream and downstream movements generated by city center stores and peripheral shopping centers," Post-Print hal-01357008, HAL.
    16. Krisztin, Tamás, 2018. "Semi-parametric spatial autoregressive models in freight generation modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 121-143.
    17. Márquez, Luis & Cantillo, Víctor & Paternina-Arboleda, Carlos D., 2024. "Temporal accessibility and freight generation of agricultural products: An empirical study in Colombia," Research in Transportation Economics, Elsevier, vol. 104(C).
    18. Pani, Agnivesh & Sahu, Prasanta K., 2022. "Modelling non-response in establishment-based freight surveys: A sampling tool for statewide freight data collection in middle-income countries," Transport Policy, Elsevier, vol. 124(C), pages 128-138.
    19. Agnivesh Pani & Prasanta K. Sahu & Furqan A. Bhat, 2021. "Assessing the Spatial Transferability of Freight (Trip) Generation Models across and within States of India: Empirical Evidence and Implications for Benefit Transfer," Networks and Spatial Economics, Springer, vol. 21(2), pages 465-493, June.
    20. Sijing Liu & Jiuping Xu & Xiaoyuan Shi & Guoqi Li & Dinglong Liu, 2018. "Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-25, August.

    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:14:y:2022:i:16:p:10300-:d:891919. 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.