Networks and Spatial Economics

Networks and Spatial Economics

Networks and Spatial Economics (NETS) is an international journal 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 an important tradition that has provided great insight into spatial economic phenomena; consequently, the journal welcomes with equal enthusiasm submissions based on continuum models. The current Editor-in-Chief is Prof. Terry L. Friesz at the Pennsylvania State University.

NETS is now abstracted/indexed in ABI inform, CompuMath Citation Index, Current Contents/Engineering, Computing and Technology, Current Index to Statistics, EBSCO, ECONIS, Research Papers in Economics (RePEc), ISI Science Citation Index Expanded, SCOPUS, Zentralblatt Math. The journal was indexed by ISI after only three years because of its consistent on-time publication record and because it has had since inception an Editorial Board that is unusually distinguished for a new journal. The Editorial Board consists of engineers, economists, geographers, applied mathematicians, computer scientists, game theorists, and physicists.

NETS now mainly publishes contributed papers and occasional special issues. The acceptance rate for contributed papers as of May 2008 is about one out of every five papers received.

The following is a sample of key words associated with recent papers that have appeared in NETS: operations research, networks, game theory, dynamic games, congestion pricing, location theory, dynamic traffic assignment, dynamic user equilibrium, Braess paradox, telecommunications, congestion, environmental impacts, agent based simulation, econometrics.


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