Index of anthropogenic load on land (ALOL) as decision support method in territorial planning
Abstract
Not all international indexes of sustainability can be easily applied to Lithuanian specialists who organize territorial planning documents. Therefore, the index assessing the anthropogenic impact can be applied in spatial planning documents is required. The proposed method is beneficial in a way that it is based on the available free statistics data. Not only land use changes can be assessed by using presented ALOL index, but also newly presented spatial planning documents. The anthropogenic load on the land index have been calculated and the comparison with another popular multi-criteria decision support methods was conducted in this study. The results showed that the value of the anthropogenic load index is deteriorating in one of the Lithuanian metropolitan areas and the proposed method does not let others down with the precision for other mathematical methods.
Keyword : sustainable development, environmental engineering, decision support system, criteria, index
How to Cite
Gaudėšius, R. . (2020). Index of anthropogenic load on land (ALOL) as decision support method in territorial planning. Journal of Environmental Engineering and Landscape Management, 28(3), 116-124. https://doi.org/10.3846/jeelm.2020.12669
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Cimen, A. (2019). The impact of sustainability index on firm performance: An event study. International Journal of Contemporary Economics and Administrative Sciences, 9, 94–118.
Čiegis, R., Tamošiūnas, T., Ramanauskienė, J., & Navickas, K. (2010). Assessment of sustainable industrial zones (pp. 70– 164). Siauliai University, Vilnius University.
Estrada, M., & Park, D. (2019). The application of the Gross City Development Index (GCD-Index) in Tokyo, Japan. Economic Analysis and Policy, 62, 37–46. https://doi.org/10.1016/j.eap.2018.12.002
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Hallstedt, S. I. (2015). Sustainability criteria and sustainability compliance index for decision support in product development. Journal of Cleaner Production, 30, 1–16. https://doi.org/10.1016/j.jclepro.2015.06.068
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Jiang, W., Wang, M., Deng, X., & Gou, L. (2019). Fault diagnosis based on TOPSIS method with Manhattan distance. Advances in Mechanical Engineering, 11(3), 1–12. https://doi.org/10.1177/1687814019833279
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Karim, R., & Karmaker, C. L. (2016). Machine selection by AHP and TOPSIS methods. American Journal of Industrial Engineering, 4(1), 7–13.
Karlitasari, L., Suhartini, D., & Benny. (2017). Comparison of simple additive weighting (SAW) and composite performance index (CPI) methods in employee remuneration determination. In IOP Conference Series: Materials Science and Engineering, 166, 012020. https://doi.org/10.1088/1757-899X/166/1/012020
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Kitzes, J., Peller, A., Goldfinger, S., & Wackernagel, M. (2007). Current methods for calculating national ecological footprint accounts. Science for Environment and Sustainable Society, 4(1), 1–9.
Markovic, Z. (2010). Modification of TOPSIS method for solving of multicriteria tasks. Yugoslav Journal of Operations Research, 20(1), 117–143. https://doi.org/10.2298/YJOR1001117M
Marrero, M., Puerto, M., Rivero-Camacho, C., Freire-Guerrero, A., & Solís-Guzmán, J. (2017). Assessing the economic impact and ecological footprint of construction and demolition waste during the urbanization of rural land. Resources, Conservation and Recycling, 117, 160–174. https://doi.org/10.1016/j.resconrec.2016.10.020
Memariani, A., Amini, A., & Alireza, A. (2008). Sensitivity analysis of Simple Additive Weighting method (SAW): The results of change in the weight of one attribute on the final ranking of alternatives. Journal of Optimization in Industrial Engineering, 2(4), 13–18.
Mosadeghi, R., Warnken, J., Tomlinson, R., & Mirfenderesk, H. (2015).Comparision of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning. Computers, Environmental and Urban Systems, 49, 54–65. https://doi.org/10.1016/j.compenvurbsys.2014.10.001
Mulliner, E., Malys, N., & Maliene, V. (2016). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59, 146–156. https://doi.org/10.1016/j.omega.2015.05.013
Oktaviana, S., Rozzaaq, A., & Rosatama, D. A. (2019). Comparative analysis using WP and TOPSIS method to find the best mountain for hiking. Journal of Physics, 1193, 012023. https://doi.org/10.1088/1742-6596/1193/1/012023
Oudenhoven, A. P. E. van, Aukes, E., Bontje, L. E., Vikolainen, V., van Bodegom, P. M., & Slinger, J. H. (2019). Mind the Gap between ecosystem services classification and strategic decision making. Ecosystem Services, 33, 77–88. https://doi.org/10.1016/j.ecoser.2018.09.003
Podvezko, V. (2011). The comparative analysis of MCDA methods SAW and COPRAS. Engineering Economics, 22(2), 134–146. https://doi.org/10.5755/j01.ee.22.2.310
Poškas, G., Poškas, P., Sirvydas, A., & Šimonis, A. (2012). Application of multi-critical analysis method in selection of Ignalina AEV1 building equipment disassembly method. Energetics, 58(2), 86–96.
Przemyslaw, L., Wojcik, L. J., & Strek, Z. (2019). Application of TOPSIS method to hierarchization of land consolidation works. World Multidisciplinary Earth Sciences Symposium, 221, 012068. https://doi.org/10.1088/1755-1315/221/1/012068
Pujiati, A., Bowo, P., & Nihayah, D. (2018). The urban sustainability index in urban aglomeration. Journal of Economics and Policy, 11(2), 294–305. https://doi.org/10.15294/jejak.v11i2.16052
Rosa, F. S., Lunkes, R. J., & Brizzolla, M. M. B. (2019). Data on the environmental sustainability index of large Brazilian companies. Data in Brief, 24, 103819. https://doi.org/10.1016/j.jclepro.2018.12.042
Rose, D. C., Sutherland, W. J., Parker, C., Lobley, M., Winter, M., Morris, C., Twining, S., Ffoulkes, C., Amano, T., & Dicks, L. V. (2016). Decision support tools for agriculture: Towards effective design and delivery. Agricultural Systems, 149, 168–174. https://doi.org/10.1016/j.agsy.2016.09.009
Roshanfekr, S., Tawil, N. M., & Goh, N. A. (2016). Investigation of sustainable housing criteria. In MATEC Web of Conferences, 66, 00096. https://doi.org/10.1051/matecconf/20166600096
Rudzkienė, V., & Burinskienė, M. (2007). Information models for evaluation and management of development directions (pp. 160–248). Vilnius Gediminas Technical University.
Said, R., Majid, R. Ab., Alias, A., Adnan, Y. M., & Razali, M. N. (2016). Sustainable housing affordability in Sabah. Journal of the Malaysian Institute of Planners, 5, 65–76. https://doi.org/10.21837/pmjournal.v14.i5.193
Salehi, A., & Izadikhah, M. (2014). A novel method to extend SAW for decision-making problems with interval data. Decision Science Letters, 3, 225–236. https://doi.org/10.5267/j.dsl.2013.11.001
Saraff, A. Z., Mohaghar, A., & Bazargani, H. (2013). Developing TOPSIS method using statistical normalization for selecting knowledge management strategies. Journal of Industrial Engineering and Management, 6(4), 860–875. https://doi.org/10.3926/jiem.573
Shah, S. A. A., Zhou, P., Walasai, G. D., & Mohsin, M. (2019). Energy security and environmental sustainability index of South Asian countries: A composite index approach. Ecological Indicators, 106, 105507. https://doi.org/10.1016/j.ecolind.2019.105507
Soufi, M. D., Ghobadian, B., Najafi, G., Sabzimaleki, M. R., & Yusaf, T. (2015). TOPSIS multicriteria decision modeling approach for biolubricant selection for two stroke petrol engines. Energies, 8, 13960–13970. https://doi.org/10.3390/en81212408
Staniūnas, M., Staniūnas, E., & Burinskienė, M. (2010). Apllication of indices for assessing the ecological potential of urban development. Ekologija, 56(3–4), 79–86. https://doi.org/10.2478/v10055-010-0011-y
Tang, J., Zhu, H.-L., Liu, Z., Jia, F., & Zheng, X.-X. (2019). Urban sustainability evaluation under the Modified TOPSIS based on grey relational analysis. International Journal of Environmental Research and Public Health, 16(2), 256. https://doi.org/10.3390/ijerph16020256
Totha, G., & Szigeti, C. (2016). The historical ecological footprint: From overpopulationto overconsumption. Ecological Indicators, 60, 283–291. https://doi.org/10.1016/j.ecolind.2015.06.040
Velička, R., & Pupalienė, R. (2010). Demographic, climate change and agroecology links (textbook) (pp. 4–80). Department of Agriculture.
Vuuren, D., & Smeets, E. (2000). Ecological footprints of Benin, Bhutan, Costa Rica and the Netherlands. Ecological Economics, 34(1), 115–130. https://doi.org/10.1016/S0921-8009(00)00155-5
Wackernagel, M., Monfreda, C., Schulz, N. B, Erb, K.-H., Haberl, H., & Krausmann, F. (2004). Calculating national and global ecological footprint time series: Resolving conceptual challenges. Land Use Policy, 21(3), 271–278. https://doi.org/10.1016/j.landusepol.2003.10.006
Zhang, Y. J., Li, A., J., & Fung, T. (2012). Using GIS and multicriteria decision analysis for conflict resolution in land use planning. Environmental Science, 13, 2264–2273. https://doi.org/10.1016/j.proenv.2012.01.215
Afshari, A., Mojahed, M., & Yusuff, R. M. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology, 1(5), 511–515.
Ahmadi, H., Rad, M. S., Nilashi, M., Ibrahim, O., & Almaee, A. (2013). Ranking the micro level critical factors of electronic medical records adoption using TOPSIS method. Health Informatics – An International Journal, 2(4), 19–32. https://doi.org/10.5121/hiij.2013.2402
Bunyan, U. F., & Yalpir, S. (2019). Valuations of builindg plots using the AHP method. International Journal of Strategic Property Management, 23(3), 197–212. https://doi.org/10.3846/ijspm.2019.7952
Cai, X., Jiang, Z., Liu, Q., & Shi, H. (2019). Research on frequency hopping synchronization strategies based on TOPSIS method. Journal of Physics, 1187(5). https://doi.org/10.1088/1742-6596/1187/5/052034
Chominčenkaitė, L., & Burškytė, V. (2014). Assessing the ecological footprint of a seaside school community. Retrieved May 21, 2016, from http://journals.ku.lt/index.php/TMD/article/download/234/191
Cimen, A. (2019). The impact of sustainability index on firm performance: An event study. International Journal of Contemporary Economics and Administrative Sciences, 9, 94–118.
Čiegis, R., Tamošiūnas, T., Ramanauskienė, J., & Navickas, K. (2010). Assessment of sustainable industrial zones (pp. 70– 164). Siauliai University, Vilnius University.
Estrada, M., & Park, D. (2019). The application of the Gross City Development Index (GCD-Index) in Tokyo, Japan. Economic Analysis and Policy, 62, 37–46. https://doi.org/10.1016/j.eap.2018.12.002
Gao, J., & Tian, M. (2016). Analysis of over-consumption of natural resources and the ecologicaltrade deficit in China based on ecological footprints. Ecological Indicators, 61, 899–904. https://doi.org/10.1016/j.ecolind.2015.10.044
Del Giudice, V., De Paola, P., Francesca, T., Nijkamp, P. J., & Shapira, A. (2019). Real estate investment choices and decision support systems. Sustainability, 11, 3110. https://doi.org/10.3390/su11113110
Gu, Q., Wang, H., Zheng, Y., Zhu, J., & Li, X. (2015). Ecological foot print analysis for urban agglomeration sustainability in the middle stream of the Yangtze River. Ecological Modelling, 318, 86–99. https://doi.org/10.1016/j.ecolmodel.2015.07.022
Guarini, M. R., & Battisti, F. (2016). Application of a multi-criteria and participated evaluation procedure to select typology of intervention to redevelop degraded urban area. Social and Bechavioral Sciences, 223, 960–967. https://doi.org/10.1016/j.sbspro.2016.05.329
Hallstedt, S. I. (2015). Sustainability criteria and sustainability compliance index for decision support in product development. Journal of Cleaner Production, 30, 1–16. https://doi.org/10.1016/j.jclepro.2015.06.068
Janova, J., Hampel, D., & Nerudová, D. (2019). Design and validation of a tax sustainability index. European Journal of Operational Research, 298, 916–926. https://doi.org/10.1016/j.ejor.2019.05.003
Jiang, W., Wang, M., Deng, X., & Gou, L. (2019). Fault diagnosis based on TOPSIS method with Manhattan distance. Advances in Mechanical Engineering, 11(3), 1–12. https://doi.org/10.1177/1687814019833279
Juščius, V., & Dargienė, D. (2015). Socially responsible consumption in Lithuania: Consumer characteristics. Bridges, 2, 47–65.
Kacprzak, D. (2019). Fyzzy TOPSIS method for group decision making. Multiple Criteria Decision Making, 13, 117–132. https://doi.org/10.22367/mcdm.2018.13.07
Karim, R., & Karmaker, C. L. (2016). Machine selection by AHP and TOPSIS methods. American Journal of Industrial Engineering, 4(1), 7–13.
Karlitasari, L., Suhartini, D., & Benny. (2017). Comparison of simple additive weighting (SAW) and composite performance index (CPI) methods in employee remuneration determination. In IOP Conference Series: Materials Science and Engineering, 166, 012020. https://doi.org/10.1088/1757-899X/166/1/012020
Kitzes, J., Galli, A., Bagliani, M., Barrett, J., Dige, G., Ede, S., Erb, K., Giljum, S., Haberl, H., Hails, C., Jolia-Ferrier, L., Jungwirth, S., Lenzen, M., Lewis, K., Loh, J., Marchettini, N., Messinger, H., Milne, K. et al. (2009). A research agenda for improving national Ecological Footprint accounts. Ecological Economics, 68(7), 1991–2007. https://doi.org/10.1016/j.ecolecon.2008.06.022
Kitzes, J., Peller, A., Goldfinger, S., & Wackernagel, M. (2007). Current methods for calculating national ecological footprint accounts. Science for Environment and Sustainable Society, 4(1), 1–9.
Markovic, Z. (2010). Modification of TOPSIS method for solving of multicriteria tasks. Yugoslav Journal of Operations Research, 20(1), 117–143. https://doi.org/10.2298/YJOR1001117M
Marrero, M., Puerto, M., Rivero-Camacho, C., Freire-Guerrero, A., & Solís-Guzmán, J. (2017). Assessing the economic impact and ecological footprint of construction and demolition waste during the urbanization of rural land. Resources, Conservation and Recycling, 117, 160–174. https://doi.org/10.1016/j.resconrec.2016.10.020
Memariani, A., Amini, A., & Alireza, A. (2008). Sensitivity analysis of Simple Additive Weighting method (SAW): The results of change in the weight of one attribute on the final ranking of alternatives. Journal of Optimization in Industrial Engineering, 2(4), 13–18.
Mosadeghi, R., Warnken, J., Tomlinson, R., & Mirfenderesk, H. (2015).Comparision of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning. Computers, Environmental and Urban Systems, 49, 54–65. https://doi.org/10.1016/j.compenvurbsys.2014.10.001
Mulliner, E., Malys, N., & Maliene, V. (2016). Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59, 146–156. https://doi.org/10.1016/j.omega.2015.05.013
Oktaviana, S., Rozzaaq, A., & Rosatama, D. A. (2019). Comparative analysis using WP and TOPSIS method to find the best mountain for hiking. Journal of Physics, 1193, 012023. https://doi.org/10.1088/1742-6596/1193/1/012023
Oudenhoven, A. P. E. van, Aukes, E., Bontje, L. E., Vikolainen, V., van Bodegom, P. M., & Slinger, J. H. (2019). Mind the Gap between ecosystem services classification and strategic decision making. Ecosystem Services, 33, 77–88. https://doi.org/10.1016/j.ecoser.2018.09.003
Podvezko, V. (2011). The comparative analysis of MCDA methods SAW and COPRAS. Engineering Economics, 22(2), 134–146. https://doi.org/10.5755/j01.ee.22.2.310
Poškas, G., Poškas, P., Sirvydas, A., & Šimonis, A. (2012). Application of multi-critical analysis method in selection of Ignalina AEV1 building equipment disassembly method. Energetics, 58(2), 86–96.
Przemyslaw, L., Wojcik, L. J., & Strek, Z. (2019). Application of TOPSIS method to hierarchization of land consolidation works. World Multidisciplinary Earth Sciences Symposium, 221, 012068. https://doi.org/10.1088/1755-1315/221/1/012068
Pujiati, A., Bowo, P., & Nihayah, D. (2018). The urban sustainability index in urban aglomeration. Journal of Economics and Policy, 11(2), 294–305. https://doi.org/10.15294/jejak.v11i2.16052
Rosa, F. S., Lunkes, R. J., & Brizzolla, M. M. B. (2019). Data on the environmental sustainability index of large Brazilian companies. Data in Brief, 24, 103819. https://doi.org/10.1016/j.jclepro.2018.12.042
Rose, D. C., Sutherland, W. J., Parker, C., Lobley, M., Winter, M., Morris, C., Twining, S., Ffoulkes, C., Amano, T., & Dicks, L. V. (2016). Decision support tools for agriculture: Towards effective design and delivery. Agricultural Systems, 149, 168–174. https://doi.org/10.1016/j.agsy.2016.09.009
Roshanfekr, S., Tawil, N. M., & Goh, N. A. (2016). Investigation of sustainable housing criteria. In MATEC Web of Conferences, 66, 00096. https://doi.org/10.1051/matecconf/20166600096
Rudzkienė, V., & Burinskienė, M. (2007). Information models for evaluation and management of development directions (pp. 160–248). Vilnius Gediminas Technical University.
Said, R., Majid, R. Ab., Alias, A., Adnan, Y. M., & Razali, M. N. (2016). Sustainable housing affordability in Sabah. Journal of the Malaysian Institute of Planners, 5, 65–76. https://doi.org/10.21837/pmjournal.v14.i5.193
Salehi, A., & Izadikhah, M. (2014). A novel method to extend SAW for decision-making problems with interval data. Decision Science Letters, 3, 225–236. https://doi.org/10.5267/j.dsl.2013.11.001
Saraff, A. Z., Mohaghar, A., & Bazargani, H. (2013). Developing TOPSIS method using statistical normalization for selecting knowledge management strategies. Journal of Industrial Engineering and Management, 6(4), 860–875. https://doi.org/10.3926/jiem.573
Shah, S. A. A., Zhou, P., Walasai, G. D., & Mohsin, M. (2019). Energy security and environmental sustainability index of South Asian countries: A composite index approach. Ecological Indicators, 106, 105507. https://doi.org/10.1016/j.ecolind.2019.105507
Soufi, M. D., Ghobadian, B., Najafi, G., Sabzimaleki, M. R., & Yusaf, T. (2015). TOPSIS multicriteria decision modeling approach for biolubricant selection for two stroke petrol engines. Energies, 8, 13960–13970. https://doi.org/10.3390/en81212408
Staniūnas, M., Staniūnas, E., & Burinskienė, M. (2010). Apllication of indices for assessing the ecological potential of urban development. Ekologija, 56(3–4), 79–86. https://doi.org/10.2478/v10055-010-0011-y
Tang, J., Zhu, H.-L., Liu, Z., Jia, F., & Zheng, X.-X. (2019). Urban sustainability evaluation under the Modified TOPSIS based on grey relational analysis. International Journal of Environmental Research and Public Health, 16(2), 256. https://doi.org/10.3390/ijerph16020256
Totha, G., & Szigeti, C. (2016). The historical ecological footprint: From overpopulationto overconsumption. Ecological Indicators, 60, 283–291. https://doi.org/10.1016/j.ecolind.2015.06.040
Velička, R., & Pupalienė, R. (2010). Demographic, climate change and agroecology links (textbook) (pp. 4–80). Department of Agriculture.
Vuuren, D., & Smeets, E. (2000). Ecological footprints of Benin, Bhutan, Costa Rica and the Netherlands. Ecological Economics, 34(1), 115–130. https://doi.org/10.1016/S0921-8009(00)00155-5
Wackernagel, M., Monfreda, C., Schulz, N. B, Erb, K.-H., Haberl, H., & Krausmann, F. (2004). Calculating national and global ecological footprint time series: Resolving conceptual challenges. Land Use Policy, 21(3), 271–278. https://doi.org/10.1016/j.landusepol.2003.10.006
Zhang, Y. J., Li, A., J., & Fung, T. (2012). Using GIS and multicriteria decision analysis for conflict resolution in land use planning. Environmental Science, 13, 2264–2273. https://doi.org/10.1016/j.proenv.2012.01.215