IDEAS home Printed from https://ideas.repec.org/h/spr/ihichp/978-3-662-46816-6_14.html
   My bibliography  Save this book chapter

A Multicriteria Spatial Decision Support System for Hazardous Material Transport

In: Evaluation and Decision Models with Multiple Criteria

Author

Listed:
  • A. Luè

    (Poliedra
    Politecnico di Milano)

  • A. Colorni

    (Politecnico di Milano)

Abstract

The local public administrations of the Italian cities are responsible for the hazardous material transport within the municipality boundaries. The city of Milan is interested in implementing a system to support the municipal transport department in planning the shipments and control their positions. The paper presents an ongoing project to design and develop a spatial multicriteria decision support system (DSS) based on a Geographical Information System for hazardous material transport in the city of Milan. The DSS considers both the problems of routing and scheduling the shipments in urban and suburban road networks, taking into account the viewpoints of the interested parties (e.g. population, shipping company, vehicle driver, environment agency). We use a risk assessment model that considers the consequences of an accident for each road segment on population, territorial infrastructures, natural elements, critical areas (e.g. areas which may be a target for a terrorist attack). The DSS is in a prototype phase and has been tested on Niguarda, an area of the city of Milan characterized by the presence of an important hospital. The prototype considers the position and time of activities of schools, railways, park and agricultural areas, and hospital buildings that are located in the area. The DSS has been applied to an exemplificative shipment in the area, and the results are presented.

Suggested Citation

  • A. Luè & A. Colorni, 2015. "A Multicriteria Spatial Decision Support System for Hazardous Material Transport," International Handbooks on Information Systems, in: Raymond Bisdorff & Luis C. Dias & Patrick Meyer & Vincent Mousseau & Marc Pirlot (ed.), Evaluation and Decision Models with Multiple Criteria, edition 127, chapter 0, pages 429-452, Springer.
    • Handle: RePEc:spr:ihichp:978-3-662-46816-6_14
    DOI: 10.1007/978-3-662-46816-6_14
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:ihichp:978-3-662-46816-6_14. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.