Spatial decision support system for home-delivered services

Wilpen Gorr, Michael Johnson and Stephen Roehrig
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Wilpen Gorr: H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA (e-mail: roehrig@andrew.cmu.edu)
Michael Johnson: H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA (e-mail: roehrig@andrew.cmu.edu)
Stephen Roehrig: H. John Heinz III School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA (e-mail: roehrig@andrew.cmu.edu)

Journal of Geographical Systems, 2001, vol. 3, issue 2, 197 pages

Abstract: Abstract. We present a spatial decision support system for the non-profit sector, designed to assist planning in the area of home-delivered services such as meals on wheels. Using data collected from existing programs, current and forecasted demographic data, and a set of algorithmic tools, we provide a system for evaluating current meals on wheels facilities, and for making incremental facility location decisions that satisfy coverage and equity requirements.

Keywords: Key words: Geographic information system; spatial decision support system; facility location models; spatial forecasting; JEL classification: C53; C61; L31 (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/PL00011474

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