Academic journal article E+M Ekonomie a Management

Forest Roads Locating Based on AHP and COPRAS-G Methods: An Empirical Study Based on Iran

Academic journal article E+M Ekonomie a Management

Forest Roads Locating Based on AHP and COPRAS-G Methods: An Empirical Study Based on Iran

Article excerpt

Introduction

Land managers of different countries are often faced with how to optimize road networks in order to maintain all roads, trails and paths for the different purposes and reducing negative impacts on environment. Johnson et al. (2011) developed a spatial MCDM (Multiple criteria decision making) system to obtain weights of factors that had significant impacts on both economic and environment, combine GIS (Geographic information system) data layers, and derive a priority map of all the roads for being closed. Stakeholders aiming to survive the competition battle have to rethink the process of development and reconstruction of supply chains, and the process which may feature peculiarities, depending on the branch of industry. Jakimavicius and Burinskiene (2007) discussed problem o road network density assessment in regions and proposed GIS decision support system based on two calculation methods: TOPSIS (Technique for Order Preference by Similarity to Ideal Point) and SAW (Simple Additive Weighting). Strategy shaping of distribution network requires evaluation of number criteria, which influence the distribution system (Vasiliauskas et al. 2010). To increase the transportation effectiveness and quality, the interested parties (groups of people) should to coordinate their actions, cooperate with each other in solving the problems and exchange relevant information. Therefore, AHP (Analytic hierarchy process) methodology, based on pair wise comparisons of criteria, is relevant technique to determine criteria weights (significances) considering the data obtained from the respondents and experts (Sivilevicius 2011). The problem of selecting the most effective road investment projects is becoming more and more acute. Road investment project alternatives have to be apprised in an integer manner using mathematical models in addition to economic, social and environment criteria (Rudzianskaite-Kvaraciejiene et al. 2010).

It should be noted that these aspects are interrelated and complementary, and therefore influence the appraisal of road investment projects. Rudzianskaite-Kvaraciejiene et al. (2010) for this purpose used expert and TOPSIS appraisal methods.

The Caspian Forest is located in the north of Iran. It covers the north facing slopes of the Alborz Mountain ranges and is classified as a temperate mountain forest. The majority of this forest is managed as an uneven aged forest (Naghdi et al. 2008). Forest roads are the most important infrastructural facilities to exploit forests that are renewable natural resources. Vehicles release large amount of heavy metals to environment (Mikalajune, Jakucionyte 2011).

Forest roads are generally planned and constructed by considering physical, economical, and environmental requirements (Naghdi, Mohammadi Limaei 2009). Tampcre et al. (2009) presented modelling exercise aimed at ascertaining the effects of road pricing on a large road network. The main objective of this research is the maximization of social welfare gain. A road network that leads us to our goals needs to be established in order to plan forestry activities sustainably. In addition to forestry services, forest roads provide economic benefit for rural population by enabling them to market their products and help them meet their healthcare, education and other social needs. Valente and Vettorazzi (2008) presented model based on ordered weighting averaging method, integrated to a geographic information systems, in the definition of priority areas for forest conservation, also analytic hierarchy process (AHP) is used. Forest roads interact with many technical, economic, environmental and social factors to render these services. It is highly important to describe the capabilities of existing forest roads in terms o all functions assigned to them in line with forestry objectives and to define their conditions of utilization in future (Gumus 2009). At present, forests administrators are concerned with these issues and try to find suitable approaches to reduce the costs and increase the efficiency. …

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