IDEAS home Printed from https://ideas.repec.org/a/pio/envirb/v38y2011i3p520-538.html
   My bibliography  Save this article

Multiobjective network design for emission and travel-time trade-off for a sustainable large urban transportation network

Author

Listed:
  • Sushant Sharma
  • Tom V Mathew

Abstract

Existing optimal road-network capacity-expansion models are based on minimizing travel time and rarely consider environmental factors such as vehicular emissions. In this study we attempt to solve such a transportation network design problem when the planner is environment conscious and thereby tries to minimize health-damage cost due to vehicular emissions along with total system travel time while performing optimal capacity expansion. This problem can be formulated as a multiobjective optimization model which minimizes emissions in addition to travel time, and under budget constraints. A prerequisite for this model is an accurate estimation of vehicle emissions due to changes in link capacities. Since the current practice of estimation of vehicular emissions by aggregate emission factors does not account for the improved speeds resulting from capacity improvements, speed-dependent emission functions for various transport modes and pollutants are used in this study. These functions help in calculating emission factors for use in the proposed model. The model uses a nondominated sorting genetic algorithm as the optimization tool to solve the network design problem. The model is tested on a small hypothetical network and solved for a real large-sized network in India taking into account three pollutants and five transport modes. The Pareto-optimal solutions generated can act as trade-offs between total emissions and total system travel time to account for the planner’s desired objectives. Also, reduction in travel time as well as in emissions supports the present model compared with the single-objective model.

Suggested Citation

  • Sushant Sharma & Tom V Mathew, 2011. "Multiobjective network design for emission and travel-time trade-off for a sustainable large urban transportation network," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 38(3), pages 520-538, May.
  • Handle: RePEc:pio:envirb:v:38:y:2011:i:3:p:520-538
    as

    Download full text from publisher

    File URL: http://www.envplan.com/abstract.cgi?id=b37018
    File Function: abstract
    Download Restriction: Fulltext access restricted to subscribers, see http://www.envplan.co.uk/B.html for details

    File URL: http://www.envplan.com/epb/fulltext/b38/b37018.pdf
    File Function: main text
    Download Restriction: Fulltext access restricted to subscribers, see http://www.envplan.co.uk/B.html for details

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chung, Jin-Hyuk & Bae, Yun Kyung & Kim, Jinhee, 2016. "Optimal sustainable road plans using multi-objective optimization approach," Transport Policy, Elsevier, vol. 49(C), pages 105-113.
    2. W. Szeto & Y. Jiang & D. Wang & A. Sumalee, 2015. "A Sustainable Road Network Design Problem with Land Use Transportation Interaction over Time," Networks and Spatial Economics, Springer, vol. 15(3), pages 791-822, September.

    More about this item

    Statistics

    Access and download statistics

    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:pio:envirb:v:38:y:2011:i:3:p:520-538. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Neil Hammond). General contact details of provider: http://www.pion.co.uk .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.