A computational framework for location analysis

John A. Keane; Timothy A. Ward

doi:10.1109/TSMCA.2002.804819

A computational framework for location analysis

Research output: Contribution to journal › Article › peer-review

Abstract

Location analysis decisions are interrelated and should be made within a single decision-making framework. A framework within which a number of location strategies can be placed is presented. Location-allocation models are improved in two ways: 1) the allocation rule is developed to more accurately reflect customer choice processe; and 2) the objective function is developed to incorporate future changes. Computational support for this framework is described.

Original language	English
Pages (from-to)	574-581
Number of pages	7
Journal	IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems & Humans
Volume	32
Issue number	5
DOIs	https://doi.org/10.1109/TSMCA.2002.804819
Publication status	Published - Sept 2002

Keywords

Decision support systems
Geographic information systems
Management information systems
Planning

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10.1109/TSMCA.2002.804819

Cite this

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title = "A computational framework for location analysis",

abstract = "Location analysis decisions are interrelated and should be made within a single decision-making framework. A framework within which a number of location strategies can be placed is presented. Location-allocation models are improved in two ways: 1) the allocation rule is developed to more accurately reflect customer choice processe; and 2) the objective function is developed to incorporate future changes. Computational support for this framework is described.",

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AU - Ward, Timothy A.

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AB - Location analysis decisions are interrelated and should be made within a single decision-making framework. A framework within which a number of location strategies can be placed is presented. Location-allocation models are improved in two ways: 1) the allocation rule is developed to more accurately reflect customer choice processe; and 2) the objective function is developed to incorporate future changes. Computational support for this framework is described.

KW - Decision support systems

KW - Geographic information systems

KW - Management information systems

KW - Planning

U2 - 10.1109/TSMCA.2002.804819

DO - 10.1109/TSMCA.2002.804819

M3 - Article

SN - 1083-4427

VL - 32

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EP - 581

JO - IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems & Humans

JF - IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems & Humans

IS - 5

ER -

A computational framework for location analysis

Abstract

Keywords

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