IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v48y2021i6d10.1007_s11116-020-10155-3.html
   My bibliography  Save this article

GIS-based identification and visualization of multimodal freight transportation catchment areas

Author

Listed:
  • Magdalena I. Asborno

    (Applied Research Associates)

  • Sarah Hernandez

    (University of Arkansas)

  • Manzi Yves

    (University of Arkansas)

Abstract

To estimate impacts, support cost–benefit analyses, and enable project prioritization, it is necessary to identify the area of influence of a transportation infrastructure project. For freight related projects, like ports, state-of-the-practice methods to estimate such areas ignore complex interactions among multimodal supply chains and can be improved by examining the multimodal trips made to and from the facility. While travel demand models estimate multimodal trips, they may not contain robust depictions of water and rail, and do not provide direct observation. Project-specific data including local traffic counts and surveys can be expensive and subjective. This work develops a systematic, objective methodology to identify multimodal “freight-shed” (or “catchment” areas) for a facility from vehicle tracking data and demonstrates application with a case study involving diverse freight port terminals. Observed truck Global Positioning System and maritime Automatic Identification System data are subjected to robust pre-processing algorithms to handle noise, cluster stops, assign data points to the network (map-matching), and address spatial and temporal conflation. The method is applied to 43 port terminals on the Arkansas River to estimate vehicle miles and hours travelled, origin, destination, and pass-through zones, and areas of modal overlap within the catchment areas. Case studies show that the state-of-the-practice 100-mile diameter influence areas include between 15 and 34% of the multimodal freight-shed areas mined from vehicle tracking data, demonstrating that adoption of an arbitrary radial area for different ports would lead to inaccurate estimates of project benefits.

Suggested Citation

  • Magdalena I. Asborno & Sarah Hernandez & Manzi Yves, 2021. "GIS-based identification and visualization of multimodal freight transportation catchment areas," Transportation, Springer, vol. 48(6), pages 2939-2968, December.
  • Handle: RePEc:kap:transp:v:48:y:2021:i:6:d:10.1007_s11116-020-10155-3
    DOI: 10.1007/s11116-020-10155-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-020-10155-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11116-020-10155-3?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. Johan Joubert & Kay Axhausen, 2013. "A complex network approach to understand commercial vehicle movement," Transportation, Springer, vol. 40(3), pages 729-750, May.
    2. Ciscal-Terry, Wilner & Dell'Amico, Mauro & Hadjidimitriou, Natalia Selini & Iori, Manuel, 2016. "An analysis of drivers route choice behaviour using GPS data and optimal alternatives," Journal of Transport Geography, Elsevier, vol. 51(C), pages 119-129.
    3. Laranjeiro, Patrícia F. & Merchán, Daniel & Godoy, Leonardo A. & Giannotti, Mariana & Yoshizaki, Hugo T.Y. & Winkenbach, Matthias & Cunha, Claudio B., 2019. "Using GPS data to explore speed patterns and temporal fluctuations in urban logistics: The case of São Paulo, Brazil," Journal of Transport Geography, Elsevier, vol. 76(C), pages 114-129.
    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. Stephen Okyere & Jiaqi Yang & Charles Anum Adams, 2022. "Optimizing the Sustainable Multimodal Freight Transport and Logistics System Based on the Genetic Algorithm," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    2. Magdalena Osińska & Wojciech Zalewski, 2023. "Vulnerability and resilience of the road transport industry in Poland to the COVID-19 pandemic crisis," Transportation, Springer, vol. 50(1), pages 331-354, February.

    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. Juan Guillermo Urzúa-Morales & Juan Pedro Sepulveda-Rojas & Miguel Alfaro & Guillermo Fuertes & Rodrigo Ternero & Manuel Vargas, 2020. "Logistic Modeling of the Last Mile: Case Study Santiago, Chile," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    2. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
    3. Trent, Nadia M. & Joubert, Johan W., 2022. "Logistics sprawl and the change in freight transport activity: A comparison of three measurement methodologies," Journal of Transport Geography, Elsevier, vol. 101(C).
    4. Ling Zhang & Jingjing Hao & Xiaofeng Ji & Lan Liu, 2019. "Research on the Complex Characteristics of Freight Transportation from a Multiscale Perspective Using Freight Vehicle Trip Data," Sustainability, MDPI, vol. 11(7), pages 1-20, March.
    5. Mariska van Essen & Tom Thomas & Eric van Berkum & Caspar Chorus, 2020. "Travelers’ compliance with social routing advice: evidence from SP and RP experiments," Transportation, Springer, vol. 47(3), pages 1047-1070, June.
    6. Yang, Wenyue & Chen, Huiling & Wang, Wulin, 2020. "The path and time efficiency of residents' trips of different purposes with different travel modes: An empirical study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 88(C).
    7. Huertas, José I. & Serrano-Guevara, Oscar & Díaz-Ramírez, Jenny & Prato, Daniel & Tabares, Lina, 2022. "Real vehicle fuel consumption in logistic corridors," Applied Energy, Elsevier, vol. 314(C).
    8. Rhandal Masteguim & Claudio B. Cunha, 2022. "An Optimization-Based Approach to Evaluate the Operational and Environmental Impacts of Pick-Up Points on E-Commerce Urban Last-Mile Distribution: A Case Study in São Paulo, Brazil," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    9. Büyüközkan, Gülçin & Ilıcak, Öykü, 2022. "Smart urban logistics: Literature review and future directions," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    10. Manley, Ed & Cheng, Tao, 2018. "Exploring the role of spatial cognition in predicting urban traffic flow through agent-based modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 14-23.
    11. Nadia M. Viljoen & Johan W. Joubert, 2018. "The Road most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability," Networks and Spatial Economics, Springer, vol. 18(1), pages 85-113, March.
    12. Pegado-Bardayo, Ana & Lorenzo-Espejo, Antonio & Muñuzuri, Jesús & Aparicio-Ruiz, Pablo, 2023. "A data-driven decision support system for service completion prediction in last mile logistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    13. Demissie, Merkebe Getachew & Kattan, Lina, 2022. "Estimation of truck origin-destination flows using GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    14. Johan Joubert & Sumarie Meintjes, 2015. "Computational considerations in building inter-firm networks," Transportation, Springer, vol. 42(5), pages 857-878, September.
    15. Adam, Arnaud & Finance, Olivier & Thomas, Isabelle, 2021. "Monitoring trucks to reveal Belgian geographical structures and dynamics: From GPS traces to spatial interactions," Journal of Transport Geography, Elsevier, vol. 91(C).
    16. Viljoen, Nadia M. & Joubert, Johan W., 2019. "Supply chain micro-communities in urban areas," Journal of Transport Geography, Elsevier, vol. 74(C), pages 211-222.
    17. Joseph, Lucy & Neven, An & Martens, Karel & Kweka, Opportuna & Wets, Geert & Janssens, Davy, 2020. "Measuring individuals' travel behaviour by use of a GPS-based smartphone application in Dar es Salaam, Tanzania," Journal of Transport Geography, Elsevier, vol. 88(C).
    18. Juan Garcia-Pajoy & Nelson Paz Ruiz & Mario Chong & Ana Luna, 2023. "Utilising PLS-SEM and Km 2 Methodology in Urban Logistics Analysis: A Case Study on Popayan, Colombia," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    19. Ibrahim Savadogo & Adrien Beziat, 2021. "Evaluating the potential environmental impacts of a large scale shift to off-hour deliveries," Post-Print halshs-03045859, HAL.
    20. Basso, Franco & Núñez, Matías & Paredes-Belmar, German & Pezoa, Raúl & Varas, Mauricio, 2024. "Estimation of stops of last-mile delivery vehicles: An application in the food industry in the city of Santiago de Chile," Journal of Transport Geography, Elsevier, vol. 116(C).

    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:kap:transp:v:48:y:2021:i:6:d:10.1007_s11116-020-10155-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.