IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i2p964-d725484.html
   My bibliography  Save this article

Exploratory Spatial Data Analysis of Traffic Forecasting: A Case Study

Author

Listed:
  • Derek Hungness

    (SRF Consulting Group, Middleton, WI 53562, USA)

  • Raj Bridgelall

    (College of Business, North Dakota State University, Fargo, ND 58102, USA)

Abstract

Transportation planning has historically relied on statistical models to analyze travel patterns across space and time. Recently, an urgency has developed in the United States to address outdated policies and approaches to infrastructure planning, design, and construction. Policymakers at the federal, state, and local levels are expressing greater interest in promoting and funding sustainable transportation infrastructure systems to reduce the damaging effects of pollutive emissions. Consequently, there is a growing trend of local agencies transitioning away from the traditional level-of-service measures to vehicle miles of travel (VMT) measures. However, planners are finding it difficult to leverage their investments in their regional travel demand network models and datasets in the transition. This paper evaluates the applicability of VMT forecasting and impact assessment using the current travel demand model for Dane County, Wisconsin. The main finding is that exploratory spatial data analysis of the derived data uncovered statistically significant spatial relationships and interactions that planners cannot sufficiently visualize using other methods. Planners can apply these techniques to identify places where focused VMT remediation measures for sustainable networks and environments can be most cost-effective.

Suggested Citation

  • Derek Hungness & Raj Bridgelall, 2022. "Exploratory Spatial Data Analysis of Traffic Forecasting: A Case Study," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:964-:d:725484
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/2/964/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/2/964/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesco Russo & Antonio Comi, 2020. "Investigating the Effects of City Logistics Measures on the Economy of the City," Sustainability, MDPI, vol. 12(4), pages 1-11, February.
    2. 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.
    3. Holguín-Veras, José & Amaya Leal, Johanna & Sánchez-Diaz, Iván & Browne, Michael & Wojtowicz, Jeffrey, 2020. "State of the art and practice of urban freight management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 360-382.
    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. Antonio A. Barreda-Luna & Juvenal Rodríguez-Reséndiz & Omar Rodríguez-Abreo & José Manuel Álvarez-Alvarado, 2022. "Spatial Models and Neural Network for Identifying Sustainable Transportation Projects with Study Case in Querétaro, an Intermediate Mexican City," Sustainability, MDPI, vol. 14(13), pages 1-16, 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. 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.
    2. Amaya, Johanna & Delgado-Lindeman, Maira & Arellana, Julian & Allen, Jaime, 2021. "Urban freight logistics: What do citizens perceive?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    3. Cesar Eduardo Leite & Sérgio Ronaldo Granemann & Ari Melo Mariano & Leise Kelli de Oliveira, 2022. "Opinion of Residents about the Freight Transport and Its Influence on the Quality of Life: An Analysis for Brasília (Brazil)," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
    4. Narayanan, Santhanakrishnan & Gruber, Johannes & Liedtke, Gernot & Antoniou, Constantinos, 2022. "Purchase intention and actual purchase of cargo cycles: Influencing factors and policy insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 31-45.
    5. Jose Holguin-Veras & Diana Ramirez-Rios & Juvena Ng & Jeffrey Wojtowicz & Daniel Haake & Catherine T. Lawson & Oriana Calderón & Benjamin Caron & Cara Wang, 2021. "Freight-Efficient Land Uses: Methodology, Strategies, and Tools," Sustainability, MDPI, vol. 13(6), pages 1-24, March.
    6. Louis Faugère & Chelsea White & Benoit Montreuil, 2020. "Mobile Access Hub Deployment for Urban Parcel Logistics," Sustainability, MDPI, vol. 12(17), pages 1-22, September.
    7. Filip Škultéty & Dominika Beňová & Jozef Gnap, 2021. "City Logistics as an Imperative Smart City Mechanism: Scrutiny of Clustered EU27 Capitals," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    8. Ewa Hącia & Natalia Wagner & Aleksandra Łapko, 2022. "The Importance of City Logistics for Urban Tourism Development: Searching for a New Research Field," Energies, MDPI, vol. 16(1), pages 1-17, December.
    9. Choudhry, Arnav & Qian, Sean, 2024. "Quantification of truck accessibility in urban last-mile deliveries using GPS probe data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    10. Kim, Woojung & Wang, Xiaokun Cara, 2022. "The adoption of alternative delivery locations in New York City: Who and how far?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 127-140.
    11. Aline Pietrix Seepma & Dirk Pieter van Donk & Carolien de Blok, 2021. "On publicness theory and its implications for supply chain integration: The case of criminal justice supply chains," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(3), pages 72-103, July.
    12. Snežana Tadić & Mladen Krstić & Milovan Kovač, 2023. "Assessment of city logistics initiative categories sustainability: case of Belgrade," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1383-1419, February.
    13. Francesco Russo & Antonio Comi, 2021. "Sustainable Urban Delivery: The Learning Process of Path Costs Enhanced by Information and Communication Technologies," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    14. Marisdea Castiglione & Antonio Comi & Rosita De Vincentis & Andreea Dumitru & Marialisa Nigro, 2022. "Delivering in Urban Areas: A Probabilistic-Behavioral Approach for Forecasting the Use of Electric Micromobility," Sustainability, MDPI, vol. 14(15), pages 1-13, July.
    15. Antonio Comi & Antonio Polimeni, 2020. "Bus Travel Time: Experimental Evidence and Forecasting," Forecasting, MDPI, vol. 2(3), pages 1-14, August.
    16. Piotr Durajczyk & Natalia Drop, 2021. "Possibilities of Using Inland Navigation to Improve Efficiency of Urban and Interurban Freight Transport with the Use of the River Information Services (RIS) System—Case Study," Energies, MDPI, vol. 14(21), pages 1-16, October.
    17. 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.
    18. Hu, Wanjie & Dong, Jianjun & Hwang, Bon-Gang & Ren, Rui & Chen, Zhilong, 2022. "Is mass rapid transit applicable for deep integration of freight-passenger transport? A multi-perspective analysis from urban China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 490-510.
    19. Alexander Rossolov & Halyna Rossolova & José Holguín-Veras, 2021. "Online and in-store purchase behavior: shopping channel choice in a developing economy," Transportation, Springer, vol. 48(6), pages 3143-3179, December.
    20. Roberta Alves & Renato da Silva Lima & Leise Kelli De Oliveira & Alexandre Ferreira de Pinho, 2022. "Conceptual Framework for Evaluating E-Commerce Deliveries Using Agent-Based Modelling and Sensitivity Analysis," Sustainability, MDPI, vol. 14(23), pages 1-18, November.

    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:2:p:964-:d:725484. 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.