IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v110y2021icp402-414.html
   My bibliography  Save this article

The impact of strategic transport policies on future urban traffic management systems

Author

Listed:
  • Grote, Matt
  • Waterson, Ben
  • Rudolph, Felix

Abstract

Urban traffic management and traffic signal control systems, denoted as Urban Traffic Control (UTC) systems, are used extensively worldwide by Local Government Authorities (LGAs) when implementing strategic transport policies. However, it is not clear how well the requirements imposed by LGA policy implementation will be met by UTC systems being developed for the future. Therefore, research was undertaken to analyse how delivery of urban transport policies over the next 5–10 years would shape LGAs' requirements for the next generation of UTC systems, and thereby to identify Key Performance Indicators (KPIs) to provide user-led guidance for future system development. A two-stage survey of LGA policy makers and implementers from around the world was conducted. The results produced consensus among the group of participants (n = 16) on 17 KPIs, representing a synthesis of expert opinions on the desired features of future UTC systems from a policy implementation perspective. The research makes an important contribution in eliciting the wide-ranging breadth of issues associated with delivering strategic transport policies and understanding how these issues affect the requirements LGAs have for future UTC systems. Aligning future UTC system capabilities with LGAs’ requirements will enable more effective implementation of strategic urban transport policies worldwide and allow the benefits to society associated with those policies to be realised.

Suggested Citation

  • Grote, Matt & Waterson, Ben & Rudolph, Felix, 2021. "The impact of strategic transport policies on future urban traffic management systems," Transport Policy, Elsevier, vol. 110(C), pages 402-414.
  • Handle: RePEc:eee:trapol:v:110:y:2021:i:c:p:402-414
    DOI: 10.1016/j.tranpol.2021.06.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X21001980
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2021.06.017?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. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    2. Andrew Hamilton & Ben Waterson & Tom Cherrett & Andrew Robinson & Ian Snell, 2013. "The evolution of urban traffic control: changing policy and technology," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(1), pages 24-43, February.
    3. Xu Zhang & Thomas Riedel, 2017. "Urban traffic control: present and the future," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(0), pages 87-100, August.
    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. Grote, Matt & Pilko, Aliaksei & Scanlan, James & Cherrett, Tom & Dickinson, Janet & Smith, Angela & Oakey, Andrew & Marsden, Greg, 2022. "Sharing airspace with Uncrewed Aerial Vehicles (UAVs): Views of the General Aviation (GA) community," Journal of Air Transport Management, Elsevier, vol. 102(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. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Xuedong Hua & YinHai Wang & Weijie Yu & Wenbo Zhu & Wei Wang, 2019. "Control Strategy Optimization for Two-Lane Highway Lane-Closure Work Zones," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
    3. Lin, Tun & De Guzman, Franklin, 2007. "Tourism for pro-poor and sustainable growth: economic analysis of tourism projects," MPRA Paper 24994, University Library of Munich, Germany.
    4. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    6. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    7. Ngoy Kabemba S. & Mwiya Balimu & Mwanaumo Erastus & Chisumbe Sampa & Petere Gaida, 2023. "Factors Influencing Professional Indemnity Insurance Use in Construction Risk Management," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 11(1), pages 199-220, January.
    8. van Asselt, E.D. & Meuwissen, M.P.M. & van Asseldonk, M.A.P.M. & Sterrenburg, P. & Mengelers, M.J.B. & van der Fels-Klerx, H.J., 2011. "Approach for a pro-active emerging risk system on biofuel by-products in feed," Food Policy, Elsevier, vol. 36(3), pages 421-429, June.
    9. Daniel Reißmann & Daniela Thrän & Alberto Bezama, 2018. "Key Development Factors of Hydrothermal Processes in Germany by 2030: A Fuzzy Logic Analysis," Energies, MDPI, vol. 11(12), pages 1-20, December.
    10. Myeonggil Choi & Changhan Lee, 2015. "Information Security Management as a Bridge in Cloud Systems from Private to Public Organizations," Sustainability, MDPI, vol. 7(9), pages 1-20, August.
    11. Odysseus Manoliadis & Ioannis Tsolas & Alexandra Nakou, 2006. "Sustainable construction and drivers of change in Greece: a Delphi study," Construction Management and Economics, Taylor & Francis Journals, vol. 24(2), pages 113-120.
    12. Haarhaus, Tim & Liening, Andreas, 2020. "Building dynamic capabilities to cope with environmental uncertainty: The role of strategic foresight," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    13. Julia A. Minson & Jennifer S. Mueller & Richard P. Larrick, 2018. "The Contingent Wisdom of Dyads: When Discussion Enhances vs. Undermines the Accuracy of Collaborative Judgments," Management Science, INFORMS, vol. 64(9), pages 4177-4192, September.
    14. Ribeiro, Barbara E. & Quintanilla, Miguel A., 2015. "Transitions in biofuel technologies: An appraisal of the social impacts of cellulosic ethanol using the Delphi method," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 53-68.
    15. Makkonen, Marika & Hujala, Teppo & Uusivuori, Jussi, 2016. "Policy experts' propensity to change their opinion along Delphi rounds," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 61-68.
    16. D F Andersen & J A M Vennix & G P Richardson & E A J A Rouwette, 2007. "Group model building: problem structuring, policy simulation and decision support," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(5), pages 691-694, May.
    17. Wilson, Kevin J., 2017. "An investigation of dependence in expert judgement studies with multiple experts," International Journal of Forecasting, Elsevier, vol. 33(1), pages 325-336.
    18. Chun-Chieh Tseng & Jun-Yi Zeng & Min-Liang Hsieh & Chih-Hung Hsu, 2022. "Analysis of Innovation Drivers of New and Old Kinetic Energy Conversion Using a Hybrid Multiple-Criteria Decision-Making Model in the Post-COVID-19 Era: A Chinese Case," Mathematics, MDPI, vol. 10(20), pages 1-25, October.
    19. Yeh, Duen-Yian & Cheng, Ching-Hsue, 2015. "Recommendation system for popular tourist attractions in Taiwan using Delphi panel and repertory grid techniques," Tourism Management, Elsevier, vol. 46(C), pages 164-176.
    20. Mohammed, Sayeed & Desha, Cheryl & Goonetilleke, Ashantha, 2022. "Investigating low-carbon pathways for hydrocarbon-dependent rentier states: Economic transition in Qatar," Technological Forecasting and Social Change, Elsevier, vol. 185(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:eee:trapol:v:110:y:2021:i:c:p:402-414. 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.