Designing robust coverage systems : a maximal covering model with geographically varying failure probabilities

Auteur(s) et Affiliation(s)



Description :
This article proposes a covering model that maximizes the expected coverage of demand by considering the possibility of facility failures in Dublin, Ohio. The proposed model can account for spatially varying failure probabilities and describes better the underlying geographic processes that cause facility failures. It is posed as a spatial optimization problem using integer linear programming. This article compares two different formulations of the covering model and discuss their properties. The proposed model formulations have been tested computationally using a warning sirens data set that has been widely used in assessing covering models. It concludes with a summary of findings as well as possible directions of future research.


Type de document :
Article de périodique

Source :
Annals of the Association of American Geographers, issn : 0004-5608, 2014, vol. 104, n°. 5, p. 922-938, nombre de pages : 17, Références bibliographiques : 2 p.

Date :
2014

Editeur :
Pays édition : Etats-Unis, Washington, DC, Association of American Geographers