OR/MS Today News


Posted: 6/7/01

Networks and Spatial Economics

Networks and Spatial Economics (NETS) is devoted to the mathematical and numerical study of economic activities facilitated by human infrastructure, broadly defined to include technologies pertinent to information, telecommunications, the Internet, transportation, energy storage and transmission, and water resources. Because the spatial organization of infrastructure most generally takes the form of networks, the journal encourages submissions that employ a network perspective. However, non-network continuum models are also recognized as a tradition that has provided insight into spatial economic phenomena; consequently, the journal welcomes submissions based on continuum models.

The intended readership of and contributors to NETS are spatial economists, geographers, regional scientists, applied mathematicians, operations research analysts, infrastructure engineers and other researchers concerned with the spatial organization and operation of infrastructure in both the public and private sectors

NETS is committed to high standards of originality and creativity for the papers it publishes. At the same time, NETS is committed to a timely review process. All submissions are to be sent initially to Kluwer's Journal Editorial Office from where the editor-in-chief will assign them to relevant area editors following a preliminary evaluation. Editors include: Terry L. Friesz (editor-in-chief), Systems Engineering and Operations Research, George Mason University; James B. Orlin, MIT; Tony E. Smith, Dept. of Systems Engineering, University of Pennsylvania.

The journal welcomes the full spectrum of high-quality work in networks and spatial economics including theoretical studies, case studies and algorithmic investigations, as well as manuscripts that combine these aspects. Although not devoted exclusively to theoretical studies, the journal is "theory-friendly." That is, thought-out theoretical analyses of important network and spatial economic problems will be considered without bias even if they do not include case studies or numerical examples.

For questions related to any aspect of this journal, contact G. Folven (gfolven@wkap.com) at Kluwer Academic Publishers.



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