The Shortest Covering Path Problem: An Application of Locational Constraints
Article Abstract:
There are a wealth of classical network problems in operations research. Substantial attention has been given to the Chinese postman problem, the minimum spanning tree, the truck dispatching problem, the traveling salesman problem and the shortest path problem. Facility location analysis and network routing have encouraged the development of many new network design and development models. The formulation of the shortest covering path problem (SCPP) is analyzed. An exact solution method is given for two sample periods. SCPP is applied to a multiobjective setting. The main assumptions of SCPP are given as are graphs of sample networks and tables of internodal distances in miles of SCPP sample. The computational demands of multiobjective analysis are justified by the huge costs of network construction.
Publication Name: Journal of Regional Science
Subject: Social sciences
ISSN: 0022-4146
Year: 1984
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Spillovers and the locational effects of public infrastructure
Article Abstract:
An analysis of public infrastructure spending in California from 1969 to 1988 revealed that such kinds of expenditure has to potential to stimulate the private sector economy localized in the beneficiary area and tends to draw away economic activity from nearby areas. The benefits derived by the beneficiary are accrue from the network spillover effects of such public investments during and after the investment. An appropriate policy approach in such cases would be to limit public infrastructure spending so as to stimulate private participation in such projects.
Publication Name: Journal of Regional Science
Subject: Social sciences
ISSN: 0022-4146
Year: 1998
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A covering tour model for planning mobile health care facilities in Suhum district, Ghana
Article Abstract:
The problem of scheduling the tour of mobile health care facilities in the Suhum district of Ghana was surmounted using a location-allocation model. The location-allocation model was effective in predicting the tour schedule only during optimal travel conditions, but subsequent modeling of travel hindrances such as rainy conditions show that the scheduling of mobile health care facilities can serve only 94% of the target beneficiaries, while serving 99% of beneficiaries during optimal travel conditions.
Publication Name: Journal of Regional Science
Subject: Social sciences
ISSN: 0022-4146
Year: 1998
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