IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v11y2014i11p11348-11370d41834.html
   My bibliography  Save this article

Impact of Vehicular Networks on Emergency Medical Services in Urban Areas

Author

Listed:
  • Chun-Liang Lee

    (Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, No. 259, Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan 33302, Taiwan)

  • Chung-Yuan Huang

    (Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, No. 259, Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan 33302, Taiwan)

  • Tzu-Chien Hsiao

    (Department of Computer Science, Institute of Biomedical Engineering, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan)

  • Chun-Yen Wu

    (Department of Computer Science, Institute of Biomedical Engineering, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan)

  • Yaw-Chung Chen

    (Department of Computer Science, National Chiao Tung University, 1001 University Road, Hsinchu 30010, Taiwan)

  • I.-Cheng Wang

    (Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, No. 259, Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan 33302, Taiwan)

Abstract

The speed with which emergency personnel can provide emergency treatment is crucial to reducing death and disability among acute and critically ill patients. Unfortunately, the rapid development of cities and increased numbers of vehicles are preventing emergency vehicles from easily reaching locations where they are needed. A significant number of researchers are experimenting with vehicular networks to address this issue, but in most studies the focus has been on communication technologies and protocols, with few efforts to assess how network applications actually support emergency medical care. Our motivation was to search the literature for suggested methods for assisting emergency vehicles, and to use simulations to evaluate them. Our results and evidence-based studies were cross-referenced to assess each method in terms of cumulative survival ratio (CSR) gains for acute and critically ill patients. Simulation results indicate that traffic light preemption resulted in significant CSR increases of between 32.4% and 90.2%. Route guidance was found to increase CSRs from 14.1% to 57.8%, while path clearing increased CSRs by 15.5% or less. It is our hope that this data will support the efforts of emergency medical technicians, traffic managers, and policy makers.

Suggested Citation

  • Chun-Liang Lee & Chung-Yuan Huang & Tzu-Chien Hsiao & Chun-Yen Wu & Yaw-Chung Chen & I.-Cheng Wang, 2014. "Impact of Vehicular Networks on Emergency Medical Services in Urban Areas," IJERPH, MDPI, vol. 11(11), pages 1-23, October.
    • Handle: RePEc:gam:jijerp:v:11:y:2014:i:11:p:11348-11370:d:41834
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/11/11/11348/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/11/11/11348/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Virginia P. Sisiopiku & Ozge Cavusoglu, 2012. "Incident and Emergency Medical Services Management from a Regional Perspective," IJERPH, MDPI, vol. 9(7), pages 1-17, June.
    2. Gordon F. Rushworth & Charlie Bloe & H. Lesley Diack & Rachel Reilly & Calum Murray & Derek Stewart & Stephen J. Leslie, 2014. "Pre-Hospital ECG E-Transmission for Patients with Suspected Myocardial Infarction in the Highlands of Scotland," IJERPH, MDPI, vol. 11(2), pages 1-15, 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. Chang, Kuo-Hao & Hsiung, Tzu-Yi & Chang, Tzu-Yin, 2022. "Multi-Commodity distribution under uncertainty in disaster response phase: Model, solution method, and an empirical study," European Journal of Operational Research, Elsevier, vol. 303(2), pages 857-876.
    2. Chang, Kuo-Hao & Sheu, Jiuh-Biing & Chen, Yenming J. & Chang, Chieh-Hsin & Liu, Chih-Hao, 2023. "Practice-based post-disaster road network connectivity analysis using a data-driven percolation theory-based method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(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. F. Javier Otamendi & David García-Heredia, 2015. "Isochrones as Indicators of the Influence of Traffic in Public Health: A Visual Simulation Application in Ávila, Spain," IJERPH, MDPI, vol. 12(10), pages 1-21, October.

    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:jijerp:v:11:y:2014:i:11:p:11348-11370:d:41834. 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.