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A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods

Year 2024, Volume: 8 Issue: 1, 33 - 48, 30.06.2024
https://doi.org/10.47897/bilmes.1473073

Abstract

This study investigated the importance levels of criteria effective in forest road network planning using Geopraphic Information System (GIS)- based Multi- Criteria Evaluation (MCE) method. It is crucial to determine the criteria to be considered in forest road construction and planning for a standardized application nationwide. The research was conducted within the boundaries of the Yaylacık Forest Management Directorate (YFMD) under the Tokat Forest Management. Firstly, the existing road network was identified in the research. After the identification of the existing road network, a GIS database was created. In this study, criteria to be used, in Forest Road Network Planning (terrain slope, aspect, road density, distance to road, land use, distance to main stream) were determined. Each criterion was classified and scored internally. Information from road and road network planning studies and previous works were utilized in determining the criteria to be used in Forest Road Network Planning. Five different degrees and suitability values are defined for the determined criteria. In this context, it was created to reach 5 fundamental road network planning functions to determine their positional statuses as Absence (Ab), Very Suitable Areas for road planning (VS), Suitable Areas for road planning (S), Less Suitable Areas for road planning (LS), and Very Less Suitable Areas for road planning (VLS). As a result, Terrain Slope and Road Density were determined as the most effective criteria in Road Network Planning, while Distance to Main Stream was identified as the least effective criterion. As a result of the study, a flow chart was created to determine the criteria and impact values that are effective in forest road network planning in order to ensure integrity and convenience in application throughout the country.

References

  • [1] Çevre ve Orman Bakanlığı Orman Genel Müdürlüğü İnşaat ve İkmal Dairesi Başkanlığı, "Orman Yolları Planlaması, Yapımı ve Bakımı Tebliği No:292," OGM, Ankara, 2008.
  • [2] B. Arıcak, "Orman Yolu İnşaatında Dolgu ve İnşaat Etki Alanlarının Uzaktan Algılama Verileri ile Belirlenmesi Üzerine Bir Araştırma," Ph.D. Thesis, K.T.Ü. Fen Bilimleri Enstitüsü, Trabzon, 2008.
  • [3] M. Hasdemir ve M. Demir, "Türkiye’de Orman Yollarını Karayolundan Ayıran Özellikler ve Bu Yolların Sınıflandırılması," İstanbul Üniversitesi Orman Fakültesi Dergisi, vol. 50, no. 2, pp. 85-96, 2000.
  • [4] E. Görcelioğlu, Orman Yolları-Erozyon İlişkisi. İ.Ü. Orman Fakültesi Yayınları, No:4460/476, 184 s., İstanbul, 2004.
  • [5] M. Demir, "Impacts, Management and Functional Planning Criterion of Forest Road Network System in Turkey," Transport Research Part-A, vol. 41, pp. 56-68, 2007.
  • [6] O. Erdaş, Orman Yolları. Karadeniz Teknik Üniversitesi, Orman Fakültesi Yayın No: 188/26, 744 sayfa, Karadeniz Teknik Üniversitesi Basımevi, Trabzon, 1997.
  • [7] Ormancılık Özel İhtisas Komisyonu Raporu, "VIII. Beş Yıllık Kalkınma Planı," Yayın No. DPT:2531-OİK:547, Ankara, 2001.
  • [8] E. Hayati, B. Majnounian, E. Abdi, J. Sessions, and M. Makhdoum, “An expert-based approach to forest road network planning by combining Delphi and spatial multi-criteria evaluation,” Environmental Monitoring and Assessment, vol. 185, no. 2, pp. 1767–1776, May 2012, doi: 10.1007/s10661-012-2666-1.
  • [9] S. Gülci, "'Orman İçi ve Kenarı Yol Ağlarında Ekolojik Sanat Yapıları Üzerine Araştırmalar," Ph.D. Thesis, Kahramanmaraş Sütçü İmam Üniversitesi, Fen Bilimleri Enstitüsü, Kahramanmaraş, 2014.
  • [10] A. Guisan, T. C. Edwards, and T. Hastie, “Generalized linear and generalized additive models in studies of species distributions: setting the scene,” Ecological Modelling, vol. 157, no. 2–3, pp. 89–100, Nov. 2002, doi: 10.1016/s0304-3800(02)00204-1.
  • [11] E. Göçmen Polat, “An Analysis for Pasture Improvement: Provincial Example,” International Scientific and Vocational Studies Journal, Jun. 2022, doi: 10.47897/bilmes.1070773.
  • [12] F. Sari, “Forest fire susceptibility mapping via multi-criteria decision analysis techniques for Mugla, Turkey: A comparative analysis of VIKOR and TOPSIS,” Forest Ecology and Management, vol. 480, p. 118644, Jan. 2021, doi: 10.1016/j.foreco.2020.118644.
  • [13] E. D. Urmak, Y. Çatal ve M. Karaatlı, "İllerin ormancılık faaliyetlerinin AHP temelli MAUT ve SAW yöntemleri ile değerlendirilmesi," Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol. 22, no. 2, pp. 301-325, 2017.
  • [14] M. Dedeoğlu ve O. Dengiz, "Coğrafi bilgi sistemleri ile entegre edilen çok kriterli karar destek analiz yaklaşımı kullanılarak arazi uygunluk sınıflarının belirlenmesi," Ziraat Fakültesi Dergisi, vol. 13, no. 2, pp. 60-72, 2018.
  • [15] J. R. Eastman, W. Jin, P. A. K. Kyem ve J. Toledano, "Raster Procedures for Multi-Criteria/Multi-Objective Decisions," Photogrammetric Engineering & Remote Sensing, vol. 61, no. 5, pp. 539-547, 1995.
  • [16] W. Kainz, M. J. Egenhofer ve I. Greasly, "Modelling Spatially Relations and Operations with Partially Ordered Sets," Int. J. Geographical Information Systems, vol. 7, no. 3, pp. 215-229, 1993.
  • [17] J. Malczewski, “GIS‐based multicriteria decision analysis: a survey of the literature,” International Journal of Geographical Information Science, vol. 20, no. 7, pp. 703–726, Aug. 2006, doi: 10.1080/13658810600661508.
  • [18] R. W. Saaty, “The Analytic Hierarchy Process—what It Is and How It Is Used,” Mathematical Modelling, vol. 9, no. 3–5, pp. 161–176, 1987, doi: 10.1016/0270-0255(87)90473-8.
  • [19] J. Malczewski, “On the Use of Weighted Linear Combination Method in GIS: Common and Best Practice Approaches,” Transactions in GIS, vol. 4, no. 1, pp. 5–22, Jan. 2000, doi: 10.1111/1467-9671.00035.
  • [20] K. Chang, GIS Models and Modelling. Introduction to Geographic Information Systems, Chapter Fourteen, McGraw Hill, New York, p. 400, 2004.
  • [21] S. J. Carver, “Integrating multi-criteria evaluation with geographical information systems,” International journal of geographical information systems, vol. 5, no. 3, pp. 321–339, Jan. 1991, doi: 10.1080/02693799108927858.
  • [22] H. Jiang and J. R. Eastman, “Application of fuzzy measures in multi-criteria evaluation in GIS,” International Journal of Geographical Information Science, vol. 14, no. 2, pp. 173–184, Mar. 2000, doi: 10.1080/136588100240903.
  • [23] E. Çalışkan, "Planning of Forest Road Network and Analysis in Mountainous Area," J. Agr. Sci. Tech., vol. 15, pp. 781-792, 2013.
  • [24] D. Öztürk ve F. Batuk, "Implementation of GIS-Based Multicriteria Decision Analysis with VB in ArcGIS," International Journal of Information Technology & Decision Making, vol. 10, no. 6, pp. 1023-1042, 2011.
  • [25] F. Zimmermann, "Conservation of the Eurasian Lynx (Lynx lynx) in a Fragmented Landscape - habitat Models, Dispersal and Potential Distribution," Ph.D. Thesis, Faculté de biologie et de médecine de l’Université de Lausanne, Switzerland, pp. 1-193, 2004.
  • [26] Esri, "Using ArcView GIS: User Manual," Redlands, California: Environmental Systems Research Institute, 1996.

A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods

Year 2024, Volume: 8 Issue: 1, 33 - 48, 30.06.2024
https://doi.org/10.47897/bilmes.1473073

Abstract

This study investigated the importance levels of criteria effective in forest road network planning using Geopraphic Information System (GIS)- based Multi- Criteria Evaluation (MCE) method. It is crucial to determine the criteria to be considered in forest road construction and planning for a standardized application nationwide. The research was conducted within the boundaries of the Yaylacık Forest Management Directorate (YFMD) under the Tokat Forest Management. Firstly, the existing road network was identified in the research. After the identification of the existing road network, a GIS database was created. In this study, criteria to be used, in Forest Road Network Planning (terrain slope, aspect, road density, distance to road, land use, distance to main stream) were determined. Each criterion was classified and scored internally. Information from road and road network planning studies and previous works were utilized in determining the criteria to be used in Forest Road Network Planning. Five different degrees and suitability values are defined for the determined criteria. In this context, it was created to reach 5 fundamental road network planning functions to determine their positional statuses as Absence (Ab), Very Suitable Areas for road planning (VS), Suitable Areas for road planning (S), Less Suitable Areas for road planning (LS), and Very Less Suitable Areas for road planning (VLS). As a result, Terrain Slope and Road Density were determined as the most effective criteria in Road Network Planning, while Distance to Main Stream was identified as the least effective criterion. As a result of the study, a flow chart was created to determine the criteria and impact values that are effective in forest road network planning in order to ensure integrity and convenience in application throughout the country.

References

  • [1] Çevre ve Orman Bakanlığı Orman Genel Müdürlüğü İnşaat ve İkmal Dairesi Başkanlığı, "Orman Yolları Planlaması, Yapımı ve Bakımı Tebliği No:292," OGM, Ankara, 2008.
  • [2] B. Arıcak, "Orman Yolu İnşaatında Dolgu ve İnşaat Etki Alanlarının Uzaktan Algılama Verileri ile Belirlenmesi Üzerine Bir Araştırma," Ph.D. Thesis, K.T.Ü. Fen Bilimleri Enstitüsü, Trabzon, 2008.
  • [3] M. Hasdemir ve M. Demir, "Türkiye’de Orman Yollarını Karayolundan Ayıran Özellikler ve Bu Yolların Sınıflandırılması," İstanbul Üniversitesi Orman Fakültesi Dergisi, vol. 50, no. 2, pp. 85-96, 2000.
  • [4] E. Görcelioğlu, Orman Yolları-Erozyon İlişkisi. İ.Ü. Orman Fakültesi Yayınları, No:4460/476, 184 s., İstanbul, 2004.
  • [5] M. Demir, "Impacts, Management and Functional Planning Criterion of Forest Road Network System in Turkey," Transport Research Part-A, vol. 41, pp. 56-68, 2007.
  • [6] O. Erdaş, Orman Yolları. Karadeniz Teknik Üniversitesi, Orman Fakültesi Yayın No: 188/26, 744 sayfa, Karadeniz Teknik Üniversitesi Basımevi, Trabzon, 1997.
  • [7] Ormancılık Özel İhtisas Komisyonu Raporu, "VIII. Beş Yıllık Kalkınma Planı," Yayın No. DPT:2531-OİK:547, Ankara, 2001.
  • [8] E. Hayati, B. Majnounian, E. Abdi, J. Sessions, and M. Makhdoum, “An expert-based approach to forest road network planning by combining Delphi and spatial multi-criteria evaluation,” Environmental Monitoring and Assessment, vol. 185, no. 2, pp. 1767–1776, May 2012, doi: 10.1007/s10661-012-2666-1.
  • [9] S. Gülci, "'Orman İçi ve Kenarı Yol Ağlarında Ekolojik Sanat Yapıları Üzerine Araştırmalar," Ph.D. Thesis, Kahramanmaraş Sütçü İmam Üniversitesi, Fen Bilimleri Enstitüsü, Kahramanmaraş, 2014.
  • [10] A. Guisan, T. C. Edwards, and T. Hastie, “Generalized linear and generalized additive models in studies of species distributions: setting the scene,” Ecological Modelling, vol. 157, no. 2–3, pp. 89–100, Nov. 2002, doi: 10.1016/s0304-3800(02)00204-1.
  • [11] E. Göçmen Polat, “An Analysis for Pasture Improvement: Provincial Example,” International Scientific and Vocational Studies Journal, Jun. 2022, doi: 10.47897/bilmes.1070773.
  • [12] F. Sari, “Forest fire susceptibility mapping via multi-criteria decision analysis techniques for Mugla, Turkey: A comparative analysis of VIKOR and TOPSIS,” Forest Ecology and Management, vol. 480, p. 118644, Jan. 2021, doi: 10.1016/j.foreco.2020.118644.
  • [13] E. D. Urmak, Y. Çatal ve M. Karaatlı, "İllerin ormancılık faaliyetlerinin AHP temelli MAUT ve SAW yöntemleri ile değerlendirilmesi," Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol. 22, no. 2, pp. 301-325, 2017.
  • [14] M. Dedeoğlu ve O. Dengiz, "Coğrafi bilgi sistemleri ile entegre edilen çok kriterli karar destek analiz yaklaşımı kullanılarak arazi uygunluk sınıflarının belirlenmesi," Ziraat Fakültesi Dergisi, vol. 13, no. 2, pp. 60-72, 2018.
  • [15] J. R. Eastman, W. Jin, P. A. K. Kyem ve J. Toledano, "Raster Procedures for Multi-Criteria/Multi-Objective Decisions," Photogrammetric Engineering & Remote Sensing, vol. 61, no. 5, pp. 539-547, 1995.
  • [16] W. Kainz, M. J. Egenhofer ve I. Greasly, "Modelling Spatially Relations and Operations with Partially Ordered Sets," Int. J. Geographical Information Systems, vol. 7, no. 3, pp. 215-229, 1993.
  • [17] J. Malczewski, “GIS‐based multicriteria decision analysis: a survey of the literature,” International Journal of Geographical Information Science, vol. 20, no. 7, pp. 703–726, Aug. 2006, doi: 10.1080/13658810600661508.
  • [18] R. W. Saaty, “The Analytic Hierarchy Process—what It Is and How It Is Used,” Mathematical Modelling, vol. 9, no. 3–5, pp. 161–176, 1987, doi: 10.1016/0270-0255(87)90473-8.
  • [19] J. Malczewski, “On the Use of Weighted Linear Combination Method in GIS: Common and Best Practice Approaches,” Transactions in GIS, vol. 4, no. 1, pp. 5–22, Jan. 2000, doi: 10.1111/1467-9671.00035.
  • [20] K. Chang, GIS Models and Modelling. Introduction to Geographic Information Systems, Chapter Fourteen, McGraw Hill, New York, p. 400, 2004.
  • [21] S. J. Carver, “Integrating multi-criteria evaluation with geographical information systems,” International journal of geographical information systems, vol. 5, no. 3, pp. 321–339, Jan. 1991, doi: 10.1080/02693799108927858.
  • [22] H. Jiang and J. R. Eastman, “Application of fuzzy measures in multi-criteria evaluation in GIS,” International Journal of Geographical Information Science, vol. 14, no. 2, pp. 173–184, Mar. 2000, doi: 10.1080/136588100240903.
  • [23] E. Çalışkan, "Planning of Forest Road Network and Analysis in Mountainous Area," J. Agr. Sci. Tech., vol. 15, pp. 781-792, 2013.
  • [24] D. Öztürk ve F. Batuk, "Implementation of GIS-Based Multicriteria Decision Analysis with VB in ArcGIS," International Journal of Information Technology & Decision Making, vol. 10, no. 6, pp. 1023-1042, 2011.
  • [25] F. Zimmermann, "Conservation of the Eurasian Lynx (Lynx lynx) in a Fragmented Landscape - habitat Models, Dispersal and Potential Distribution," Ph.D. Thesis, Faculté de biologie et de médecine de l’Université de Lausanne, Switzerland, pp. 1-193, 2004.
  • [26] Esri, "Using ArcView GIS: User Manual," Redlands, California: Environmental Systems Research Institute, 1996.
There are 26 citations in total.

Details

Primary Language Turkish
Subjects Forest Industry Engineering (Other)
Journal Section Articles
Authors

Ersin Dursun 0000-0003-1672-8103

Publication Date June 30, 2024
Submission Date April 24, 2024
Acceptance Date May 12, 2024
Published in Issue Year 2024 Volume: 8 Issue: 1

Cite

APA Dursun, E. (2024). A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods. International Scientific and Vocational Studies Journal, 8(1), 33-48. https://doi.org/10.47897/bilmes.1473073
AMA Dursun E. A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods. ISVOS. June 2024;8(1):33-48. doi:10.47897/bilmes.1473073
Chicago Dursun, Ersin. “A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods”. International Scientific and Vocational Studies Journal 8, no. 1 (June 2024): 33-48. https://doi.org/10.47897/bilmes.1473073.
EndNote Dursun E (June 1, 2024) A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods. International Scientific and Vocational Studies Journal 8 1 33–48.
IEEE E. Dursun, “A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods”, ISVOS, vol. 8, no. 1, pp. 33–48, 2024, doi: 10.47897/bilmes.1473073.
ISNAD Dursun, Ersin. “A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods”. International Scientific and Vocational Studies Journal 8/1 (June 2024), 33-48. https://doi.org/10.47897/bilmes.1473073.
JAMA Dursun E. A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods. ISVOS. 2024;8:33–48.
MLA Dursun, Ersin. “A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods”. International Scientific and Vocational Studies Journal, vol. 8, no. 1, 2024, pp. 33-48, doi:10.47897/bilmes.1473073.
Vancouver Dursun E. A Research on Determining the Importance Levels of Criteria Effective in Forest Road Network Planning through GIS-Based Methods. ISVOS. 2024;8(1):33-48.


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