A Decision Support System for Allocation of Mountain Forest Roads Based on Ground Stability

Babapour, Razieh; Naghdi, Ramin; Salehi, Ali; Ghajar, Ismael

doi:10.1007/s13369-013-0833-5

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…Analytical hierarchy process (AHP) is a math-based GIS-compatible and multidisciplinary decision method utilized in various fields and also in the planning of routes, construction, and maintenance of roads and railways and subways [48][49][50][51][52]. At the same time, AHP is also preferred and used in forestry studies [53][54][55][56][57][58]. In the AHP method, analysis can be subjective inasmuch as the factors are limited through user-specified constraints [46].…”

Section: Methodsmentioning

confidence: 99%

Utilizing a Fuzzy Inference System (FIS) and Modified Analytical Hierarchical Analysis for Forest Road Network Planning in Afforested Lands

Buğday¹,

Özel²

2019

Pol. J. Environ. Stud.

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Afforestation activity needs serious feasibility in as much as it is a work of establishing a new facility. Moreover, the process of selecting the land to be afforested; determining site conditions; selecting suitable tree species, provenance, and clones; the planting or sowing techniques; and planning of the environmental transport network are all costly. Determining suitable areas for environmental road network installation, which has an important place in afforestation areas, is discussed in this study. In this context, characteristics of an afforestated area have been evaluated by virtue of the fuzzy inference system (FIS) and modified analytical hierarchical analysis (M-AHP) methods on a sample area established as an afforestation area. The main objective of this study is planning in a way that is sensitive to nature and strives for ecological balance on environmental forest road networks for forested and afforested areas by utilizing multiple decision support methods with a view to realizing maintenance on afforestation areas in short-and long-term processes. A total of eight factors were determined in the study. The best twelve models, obtained as a result of analyses carried out with these factors, are presented. The success of the models was evaluated with receiver operating characteristic (ROC) analysis and the best model was obtained by M-AHP, which was Model 4 M-AHP with 71.2% area under curve (AUC) value. We observed that the model obtained through the M-AHP method is more successful in on-site road network planning during the phase of creating the afforestation projects.

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Section: Methodsmentioning

confidence: 99%

Utilizing a Fuzzy Inference System (FIS) and Modified Analytical Hierarchical Analysis for Forest Road Network Planning in Afforested Lands

Buğday¹,

Özel²

2019

Pol. J. Environ. Stud.

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“…The map layers such as slope, aspect, hydrology, landslide susceptibility, etc., have been created and the AHP used to determine the weights. As illustrated in Figure 10, the weighted graph was stacked in GIS to create maps of forest potential for road construction (FPRC) [59]. In this process, the different scenarios of the road network could be obtained by evaluating its technical, environmental, and social aspects.…”

Section: Use Of Decision Assessment Tools For Forest Road Projectsmentioning

confidence: 99%

Application of Geoinformatics in Forest Planning and Management

Xing,

Sun,

Huang

et al. 2024

Forests

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Rational forest planning and management is the key to a forest’s systematic construction. It is beneficial to many aspects, such as the cultivation and preservation of a forest’s ecological resources, sustainability, forest fire prevention, and others. In recent years, some effective strategies and tactics for the planning and management of forests’ systematic construction have been established. Among them, the application of geoinformatics in forest planning and management (AGFPM) is one of the most effective and promising strategies. Therefore, it is necessary to conduct a comprehensive summary and analysis of the current situation. AGFPM has effectively applied in logging operations, forest road development, forest material transport, and forest fire prevention. An analysis of the research results in the past 20 years showed that decision support tools are the most used solutions to problems related to forest planning and management, especially the analytic hierarchy process (AHP). Light detection and ranging (LiDAR) is the second most popular method. With the development of geoinformatics, it will play an increasingly important role in forest planning and management in the future.

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“…Recently, multi-criteria decision-making (MCDM) methods such as Analytical Hierarchy Process (AHP) and Analytic Network Processes (ANP) have been an active research for solving real-world decision problems [61][62][63][64][65][66][67][68]. ANP which is a special case of AHP [69] was developed by Saaty [70].…”

Section: Analytic Network Processes (Anp)mentioning

confidence: 99%

MCPCM: A DEMATEL-ANP-Based Multi-criteria Decision-Making Approach to Evaluate the Critical Success Factors in Construction Projects

et al. 2014

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Project success is a fundamental issue for any planning, design and construction development. Thus, it effects the stakeholders which involve government, developer, constructor and communities as the end users. Critical success factors (CSFs) have been key aspects of a construction project which are considered to be a means to improve the effectiveness of project. CSF literature has been widely addressed, and many researchers evaluated the gaps in CSFs for construction projects' success. However, this paper highlights the importance levels of interdependency among the CSFs which has rarely been explored in the prior studies. In this study, most influential factors in successfully completing construction projects are used to develop a new integrated model, multi-criteria construction projects CSF model. A novel hybrid multi-criteria decision-making (MCDM) model is used to address the dependence relationships of factors with the aid of grey relational analysis, analytical network process (ANP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL). The initial model of the study is designed by considering five main criteria with 43 sub-criteria. DEMATEL is applied to construct interrelations among criteria and sub-criteria in the integrated model. By using this approach, the interdepen-M. Nilashi (B) · R. Zakaria (B) · M. Z. Abd. Majid · R. M. Zin dencies strength among the criteria and sub-criteria is tested. The ANP method is then adopted in order to determine the relative importance of the CSFs, and used to identify how the CSFs are weighted and prioritized by the construction professionals, who are all working in different areas of the construction industry. The development of this MCDM model helps project parties in Malaysia in identifying the key elements and factors that need to be thoroughly considered and managed for construction project success. The results of this study can also be a guide for the construction organizations to allocate their resources such as financial and time for the construction projects according to the importance level of construction project success factors.

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A Decision Support System for Allocation of Mountain Forest Roads Based on Ground Stability

Cited by 9 publications

References 12 publications

Utilizing a Fuzzy Inference System (FIS) and Modified Analytical Hierarchical Analysis for Forest Road Network Planning in Afforested Lands

Utilizing a Fuzzy Inference System (FIS) and Modified Analytical Hierarchical Analysis for Forest Road Network Planning in Afforested Lands

Application of Geoinformatics in Forest Planning and Management

MCPCM: A DEMATEL-ANP-Based Multi-criteria Decision-Making Approach to Evaluate the Critical Success Factors in Construction Projects

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