IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i5p2915-d762635.html
   My bibliography  Save this article

Managed Lane as Strategy for Traffic Flow and Safety: A Case Study of Catania Ring Road

Author

Listed:
  • Salvatore Cafiso

    (Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy)

  • Alessandro Di Graziano

    (Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy)

  • Tullio Giuffrè

    (Faculty of Engineering and Architecture, University of Enna Kore, Viale delle Olimpiadi, 94100 Enna, Italy)

  • Giuseppina Pappalardo

    (Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy)

  • Alessandro Severino

    (Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy)

Abstract

According to international traffic statistics, the quantity of daily traveling vehicles amounts to one billion, and it is estimated that in 2050 that amount will reach four billion. Urban population is growing especially in large metropolitan areas. This increase has different outgrowths concerning regular circulation, safety, and climatic perspectives. Therefore, the present and further increase of traffic flow is affecting the operational and safety performance of several roadway categories. Urban ring roads belong to a roadway category that is particularly subjected to congestion phenomena, but in many cases, public administrations are unable to afford required expenses to upgrade or build new roadways. Therefore, an intervention is needed that increases the capacity of existing infrastructures with limited cost results to be fundamental. In such a framework, the dynamic use of hard shoulder running (HSR) would represent a valid solution that both exploits existing infrastructures and facilitates traffic outflow by implementation of smart digital roads, with limited interventions on the physical infrastructure. Despite the expected improvements in traffic capacity, the HSR poses safety issues particularly in specific locations (e.g., interchanges) and for the operation of the transition phase for opening and closing the HSR. In this paper, the applicability and usefulness of microsimulation were tested with the Catania (Italy) ring road, as a case study, through the application of VISSIM traffic microsimulation software and SSAM traffic conflict tool, implementing different scenarios for the activation of the HSR.

Suggested Citation

  • Salvatore Cafiso & Alessandro Di Graziano & Tullio Giuffrè & Giuseppina Pappalardo & Alessandro Severino, 2022. "Managed Lane as Strategy for Traffic Flow and Safety: A Case Study of Catania Ring Road," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2915-:d:762635
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/5/2915/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/5/2915/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sunil Patil & Mark Burris & W. Douglass Shaw & Sisinnio Concas, 2011. "Variation in the value of travel time savings and its impact on the benefits of managed lanes," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(6), pages 547-567, June.
    2. Meyer, Michael D., 1999. "Demand management as an element of transportation policy: using carrots and sticks to influence travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 575-599.
    3. Lisa L. Green & Mark W. Burris & David Florence & Winfred Arthur, 2021. "Psychological items: a useful addition in modeling travel behavior on managed lanes," Transportation, Springer, vol. 48(1), pages 215-237, February.
    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. Suzana Tajnik & Blaž Luin, 2022. "Impact of Driver, Vehicle, and Environment on Rural Road Crash Rate," Sustainability, MDPI, vol. 14(23), pages 1-18, November.

    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. Jun Guan Neoh & Maxwell Chipulu & Alasdair Marshall, 2017. "What encourages people to carpool? An evaluation of factors with meta-analysis," Transportation, Springer, vol. 44(2), pages 423-447, March.
    2. Hossan, Md Sakoat & Asgari, Hamidreza & Jin, Xia, 2016. "Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 638-649.
    3. Apostolos Giantsidis, 2014. "Mobility Management in small and medium cities: The case of Serres," ERSA conference papers ersa14p390, European Regional Science Association.
    4. Goulden, Murray & Ryley, Tim & Dingwall, Robert, 2014. "Beyond ‘predict and provide’: UK transport, the growth paradigm and climate change," Transport Policy, Elsevier, vol. 32(C), pages 139-147.
    5. Casady, Carter B. & Gómez-Ibáñez, José A. & Schwimmer, Emily, 2020. "Toll-managed lanes: A simplified benefit-cost analysis of seven US projects," Transport Policy, Elsevier, vol. 89(C), pages 38-53.
    6. Rybarczyk, Greg & Gallagher, Laura, 2014. "Measuring the potential for bicycling and walking at a metropolitan commuter university," Journal of Transport Geography, Elsevier, vol. 39(C), pages 1-10.
    7. Rotaris, Lucia & Danielis, Romeo, 2015. "Commuting to college: The effectiveness and social efficiency of transportation demand management policies," Transport Policy, Elsevier, vol. 44(C), pages 158-168.
    8. Lindsey, Robin, 2005. "Recent developments and current policy issues in road pricing in the US and Canada," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 31, pages 46-66.
    9. Chu, Singfat, 2015. "Car restraint policies and mileage in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 404-412.
    10. Kuldeep Kavta & Arkopal K. Goswami, 2021. "A methodological framework for a priori selection of travel demand management package using fuzzy MCDM methods," Transportation, Springer, vol. 48(6), pages 3059-3084, December.
    11. Zhao, Zhan & Koutsopoulos, Haris N. & Zhao, Jinhua, 2018. "Detecting pattern changes in individual travel behavior: A Bayesian approach," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 73-88.
    12. Guo, Zhan, 2013. "Does residential parking supply affect household car ownership? The case of New York City," Journal of Transport Geography, Elsevier, vol. 26(C), pages 18-28.
    13. Habibian, Meeghat & Kermanshah, Mohammad, 2013. "Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters," Transport Policy, Elsevier, vol. 30(C), pages 229-237.
    14. Tao, Sui & Cheng, Long & He, Sylvia & Witlox, Frank, 2023. "Examining the non-linear effects of transit accessibility on daily trip duration: A focus on the low-income population," Journal of Transport Geography, Elsevier, vol. 109(C).
    15. Chidambaram, Bhuvanachithra & Janssen, Marco A. & Rommel, Jens & Zikos, Dimitrios, 2014. "Commuters’ mode choice as a coordination problem: A framed field experiment on traffic policy in Hyderabad, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 9-22.
    16. Bae, Sang Hoo & Sarkis, Joseph & Yoo, Chung Sik, 2011. "Greening transportation fleets: Insights from a two-stage game theoretic model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 793-807.
    17. Griffin, Greg Phillip, 2018. "Co-producing Mobility: Lessons from Ridesharing for a More Just and Sustainable Autonomous Future," SocArXiv xqmhr, Center for Open Science.
    18. Tal, Gil & Cohen-Blankshtain, Galit, 2011. "Understanding the role of the forecast-maker in overestimation forecasts of policy impacts: The case of Travel Demand Management policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 389-400, June.
    19. Kavta, Kuldeep & Goswami, Arkopal K., 2022. "Estimating mode choice of motorized two-wheeler commuters under the influence of combined travel demand management measures: An ICLV modeling approach," Transport Policy, Elsevier, vol. 126(C), pages 327-335.
    20. Karishma Asarpota & Vincent Nadin, 2020. "Energy Strategies, the Urban Dimension, and Spatial Planning," Energies, MDPI, vol. 13(14), pages 1-25, 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:gam:jsusta:v:14:y:2022:i:5:p:2915-:d:762635. 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.