IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v124y2022icp119-127.html
   My bibliography  Save this article

Application of an empirical multi-agent model for urban goods transport to analyze impacts of zero emission zones in The Netherlands

Author

Listed:
  • de Bok, Michiel
  • Tavasszy, Lóránt
  • Sebastiaan Thoen,

Abstract

Reducing emissions caused by urban freight transportation is an increasingly important policy objective for transportation planners around the world. New and innovative ways of data collection provide new possibilities to analyze these issues. In this paper we present MASS-GT, a new multi-agent simulation system for urban goods transport. The empirical basis is provided by an exceptionally large dataset of truck trip travel diaries for The Netherlands that was collected from transportation management systems using an automated data collection interface. The dataset is very dense and includes information on vehicles, routes, and shipments carried.

Suggested Citation

  • de Bok, Michiel & Tavasszy, Lóránt & Sebastiaan Thoen,, 2022. "Application of an empirical multi-agent model for urban goods transport to analyze impacts of zero emission zones in The Netherlands," Transport Policy, Elsevier, vol. 124(C), pages 119-127.
    • Handle: RePEc:eee:trapol:v:124:y:2022:i:c:p:119-127
    DOI: 10.1016/j.tranpol.2020.07.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X19307383
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2020.07.010?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. Thoen, Sebastiaan & Tavasszy, Lóránt & de Bok, Michiel & Correia, Goncalo & van Duin, Ron, 2020. "Descriptive modeling of freight tour formation: A shipment-based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    2. Edoardo Marcucci & Romeo Danielis, 2008. "The potential demand for a urban freight consolidation centre," Transportation, Springer, vol. 35(2), pages 269-284, March.
    3. Valerio Gatta & Edoardo Marcucci, 2014. "Urban Freight Transport Policy Changes: Improving Decision Makers’ Awareness Via An Agent-Specific Approach," Working Papers 0114, CREI Università degli Studi Roma Tre, revised 2014.
    4. Akgün, Emine Zehra & Monios, Jason & Rye, Tom & Fonzone, Achille, 2019. "Influences on urban freight transport policy choice by local authorities," Transport Policy, Elsevier, vol. 75(C), pages 88-98.
    5. Marcucci, Edoardo & Le Pira, Michela & Gatta, Valerio & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro, 2017. "Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 69-86.
    6. Liedtke, Gernot, 2009. "Principles of micro-behavior commodity transport modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(5), pages 795-809, September.
    7. Gatta, Valerio & Marcucci, Edoardo, 2014. "Urban freight transport and policy changes: Improving decision makers' awareness via an agent-specific approach," Transport Policy, Elsevier, vol. 36(C), pages 248-252.
    8. 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.
    9. Roorda, Matthew J. & Cavalcante, Rinaldo & McCabe, Stephanie & Kwan, Helen, 2010. "A conceptual framework for agent-based modelling of logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 18-31, January.
    10. Hunt, J.D. & Stefan, K.J., 2007. "Tour-based microsimulation of urban commercial movements," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 981-1013, November.
    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. Hanna Vasiutina & Vitalii Naumov & Andrzej Szarata & Stanisław Rybicki, 2023. "Influence of Transport Demand Parameters on Environmental Pollution for Deliveries by Cargo Bikes in City Areas with Traffic Restrictions," Energies, MDPI, vol. 16(19), pages 1-18, September.

    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. Marcucci, Edoardo & Gatta, Valerio & Le Pira, Michela, 2018. "Gamification design to foster stakeholder engagement and behavior change: An application to urban freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 119-132.
    2. Gerard Jong & Inge Vierth & Lori Tavasszy & Moshe Ben-Akiva, 2013. "Recent developments in national and international freight transport models within Europe," Transportation, Springer, vol. 40(2), pages 347-371, February.
    3. Mathieu Gardrat & Pascal Pluvinet, 2021. "Markov based mesoscopic simulation tool for urban freight: SIMTURB," Working Papers halshs-03284321, HAL.
    4. Marcucci, Edoardo & Le Pira, Michela & Gatta, Valerio & Inturri, Giuseppe & Ignaccolo, Matteo & Pluchino, Alessandro, 2017. "Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 69-86.
    5. Francesco Ciardiello & Andrea Genovese & Shucheng Luo & Antonino Sgalambro, 2023. "A game-theoretic multi-stakeholder model for cost allocation in urban consolidation centres," Annals of Operations Research, Springer, vol. 324(1), pages 663-686, May.
    6. Daniel Kaszubowski, 2019. "A Method for the Evaluation of Urban Freight Transport Models as a Tool for Improving the Delivery of Sustainable Urban Transport Policy," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    7. Sharman, Bryce W. & Roorda, Matthew J., 2013. "Multilevel modelling of commercial vehicle inter-arrival duration using GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 94-107.
    8. Marcucci, Edoardo & Gatta, Valerio, 2017. "Investigating the potential for off-hour deliveries in the city of Rome: Retailers’ perceptions and stated reactions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 142-156.
    9. Aljohani, Khalid & Thompson, Russell G., 2020. "Receivers-led delivery consolidation policy: Estimating the characteristics of the most interested businesses to participate," Research in Transportation Economics, Elsevier, vol. 80(C).
    10. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    11. Stathopoulos, Amanda & Valeri, Eva & Marcucci, Edoardo, 2012. "Stakeholder reactions to urban freight policy innovation," Journal of Transport Geography, Elsevier, vol. 22(C), pages 34-45.
    12. Takanori Sakai & B. K. Bhavathrathan & André Alho & Tetsuro Hyodo & Moshe Ben-Akiva, 2020. "Commodity flow estimation for a metropolitan scale freight modeling system: supplier selection considering distribution channel using an error component logit mixture model," Transportation, Springer, vol. 47(2), pages 997-1025, April.
    13. Taha Hossein Rashidi & Matthew J. Roorda, 2018. "A business establishment fleet ownership and composition model," Transportation, Springer, vol. 45(3), pages 971-987, May.
    14. Tavasszy, Lóránt A., 2020. "Predicting the effects of logistics innovations on freight systems: Directions for research," Transport Policy, Elsevier, vol. 86(C), pages 1-6.
    15. Katsela, Konstantina & Pålsson, Henrik, 2021. "Viable business models for city logistics: Exploring the cost structure and the economy of scale in a Swedish initiative," Research in Transportation Economics, Elsevier, vol. 90(C).
    16. Valerio Gatta & Edoardo Marcucci & Marialisa Nigro & Sergio Maria Patella & Simone Serafini, 2018. "Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
    17. Theodore Tsekeris & Klimis Vogiatzoglou, 2011. "Spatial agent-based modeling of household and firm location with endogenous transport costs," Netnomics, Springer, vol. 12(2), pages 77-98, July.
    18. Amaya, Johanna & Arellana, Julian & Delgado-Lindeman, Maira, 2020. "Stakeholders perceptions to sustainable urban freight policies in emerging markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 329-348.
    19. Jihane El Ouadi & Hanae Errousso & Nicolas Malhene & Siham Benhadou & Hicham Medromi, 2022. "A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3215-3258, October.
    20. Roberta Alves & Renato da Silva Lima & David Custódio de Sena & Alexandre Ferreira de Pinho & José Holguín-Veras, 2019. "Agent-Based Simulation Model for Evaluating Urban Freight Policy to E-Commerce," Sustainability, MDPI, vol. 11(15), pages 1-19, July.

    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:trapol:v:124:y:2022:i:c:p:119-127. 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/30473/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.