Finding optimal routes for networks of harvest site access roads using GIS-based techniques

Dean, Denis J.

doi:10.1139/cjfr-27-1-11

Cited by 23 publications

(43 citation statements)

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“…On the other hand, a good model for road planning and choosing between alternative routes should incorporate the knowledge of the road engineer and be simple and easy to understand and use. Dean (1997), Huang et al (2003 and Murthy (2003) used the Least Cost Path model for route selection. Although the path tool minimized the cost, it could not restrict passing through infeasible gradients.…”

Section: Resultsmentioning

confidence: 99%

“…The viability and profitability of operational forest management plans is very much influenced by road costs as well as road network structure (Kirby et al 1986). Given the importance of these costs, finding cost effective paths for new road networks is highly desirable (Dean 1997). Road networks are often developed by engineers using contour and thematic maps (Liu, Sessions 1993;Rogers 2005;Picard et al 2006).…”

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confidence: 99%

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A GIS-MCE based model for forest road planning

Abdi¹,

Majnounian²,

Darvishsefat³

et al. 2009

J. For. Sci.

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ABSTRACT:One of the cost factors in forest management is the development of road infrastructure. The objective of study was to develop a method using GIS and Multi-criteria Evaluation (MCE) to design a forest road network with the lowest construction cost while maintaining other technical requirements. Six road alternatives meeting technical requirements were developed using PEGGER. Then MCE was used to evaluate the construction costs of the candidate networks. The decision making group identified six factors as being relevant to the costs of forest roads. Then factors were compared in a pair-wise comparison, in the context of the Analytic Hierarchy Process to develop weights of map layers. Then weights and factors were entered into the MCE module to create a final suitability map. The total cost of each alternative was extracted from the suitability map and the unit cost of each alternative was calculated. The results showed that alternatives one and two had the highest and lowest unit costs, respectively. The results illustrated the utility of using GIS and MCE to improve the planning process.

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Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

A GIS-MCE based model for forest road planning

Abdi¹,

Majnounian²,

Darvishsefat³

et al. 2009

J. For. Sci.

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show abstract

“…A cost surface map created (cost) values assigned as resistance in order to determine the environmentally sound of the forest road route in each pixel (Figure 4). Forest road route with the lowest total construction costs is not always the best solution from an environmental point of view (Liu and Sessions 1993;Dean 1997;Chung and Sessions 2001;Aruga 2005;Akay 2006;Hayati et al 2013).…”

Section: Rezultati I Raspravamentioning

confidence: 99%

Planning of environmentally sound forest road route using GIS & S-MCDM

Çalışkan

2017

Šumar. list (Online)

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SummaryForest roads are basic precondition for the sustainable management of forest resources. These roads entail a complex engineering effort because they can cause substantial environmental damage to forests and include a highcost construction. Therefore, the design of forest road routes should have taken into account in terms of environmental impacts. In order to do this, the Geographical Information System (GIS) with Spatial Multi Criteria Decision Making (S-MCDM) techniques is a useful tool for creating a model. One such S-MCDM is the Spatialintegrated Technique for Order Preference by Similarity to Ideal Solution (S-TOPSIS). In this study, S-TOPSIS was applied to integrate environmental impacts into the design of a forest road route. Using the current forest road route (CFOR) and the GIS-based S-TOPSIS method, an environmentally sound forest road route (ESFOR) was determined according to environmental criteria. Five environmental criteria (avalanche, river, soil, geology and slope) were used for analysis to compare with. The results obtained from the analyses, are compared to the current forest road route. The CFOR 15.385 km in length, while the ESFOR found by S-TOPSIS was 14.385 km. If the differences in length between two roads multiplied by the width of the road (1km X 5m), the result would be 0.5 ha. The results showed that this methodology can provide environmentally sound road network also help to design quickly and less costly. These results suggest that spatial multi criteria decision making method can be more accurate in terms of environmentally sensitive forest road designing in mountainous area.

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“…Several well-known network flow problems that use graph representations include the shortest path, maximum flow, minimum cost flow, and multicommodity flow problems [1]. Graph representations of roads have been used in GIS-based routing for a variety of applications, including choosing optimal roads to reach timber stands in forests and routing the collection of solid waste in India by Ghose et al [6], [18]. Extensions and manipulations to the traditional road graph model have been made in GIS applications in order to capture road topology.…”

Section: Road Network Representationmentioning

confidence: 99%