Mathematical formulation and exact solution for landing location problem in tropical forest selective logging, a case study in Southeast Cameroon
Julien Philippart,
Minghe Sun and
Jean-Louis Doucet
Additional contact information
Julien Philippart: University of Liege
Minghe Sun: The University of Texas at San Antonio
Jean-Louis Doucet: University of Liege
No 9, Working Papers from College of Business, University of Texas at San Antonio
Abstract:
In Central Africa, creating forest roads and skid trails is one of the most costly and environmentally damaging operations for the forest’s ecosystem. An optimized road network is essential for reducing construction costs and improving the sustainable management of timber resources. The location of landings is vital in the development of a future forest road network. In this study, a binary integer programming model similar to the uncapacitated facility location problem is formulated to optimize the locations of the landings. The model is applied to selective logging in Central Africa and tested on an annual logging zone in Southeast Cameroon. The results are compared to that of manual road planning, the currently used method.
Keywords: landing location; uncapacitated facility location; Central Africa; road planning (search for similar items in EconPapers)
JEL-codes: C02 C61 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2012-03-19
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:tsa:wpaper:0034mss
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