Share:


The residence plot selection model for family house in Vilnius by neutrosophic WASPAS method

    Romualdas Baušys   Affiliation
    ; Birutė Juodagalvienė Affiliation
    ; Rytė Žiūrienė   Affiliation
    ; Ina Pankrašovaitė   Affiliation
    ; Juozas Kamarauskas Affiliation
    ; Ana Usovaitė Affiliation
    ; Dovydas Gaižauskas   Affiliation

Abstract

Good quality dwelling and the environment are related to the values of citizens’ existence. It can be highlighted as important questions in creating a sustainable living environment. The research and analysis carried out so far include global planning of the plot of a particular country or city according to economic aspects. Meanwhile, our model, which covers the key social aspects of choosing a residential house, will fill this gap. We propose an original problem formulated which includes the planning of the plot of a particular city according to economic, environmental and social aspects. Our work aims to investigate the criteria for the selection of single-family houses and to develop a theoretical evaluation model based on decision-making methods. The presented study deals with the problem of selecting a one-family house plot using the Weighted Aggregate Sum Product Assessment Methods (WASPAS) and the Step-Wise Weight Assessment Ratio Analysis Method (SWARA). During the research, parameters related to plot selection were evaluated: infrastructure, distance, cost, privacy, security and aesthetic view.


First published online 17 March 2020

Keyword : residence plot, infrastructure, MCDM, SWARA, WASPAS, neutrosophic set

How to Cite
Baušys, R., Juodagalvienė, B., Žiūrienė, R., Pankrašovaitė, I., Kamarauskas, J., Usovaitė, A., & Gaižauskas, D. (2020). The residence plot selection model for family house in Vilnius by neutrosophic WASPAS method. International Journal of Strategic Property Management, 24(3), 182-196. https://doi.org/10.3846/ijspm.2020.12107
Published in Issue
Apr 1, 2020
Abstract Views
1417
PDF Downloads
762
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Acheampong, A. (2018). Towards incorporating location choice into integrated land use and transport planning and policy: a multi-scale analysis of residential and job location choice behavior. Land Use Policy, 78, 397−409. https://doi.org/10.1016/j.landusepol.2018.07.007

Aktas, A., & Kabak, M. (2019). A hybrid hesitant fuzzy decisionmaking approach for evaluating solar power plant location sites. Arabian Journal for Science and Engineering, 44(8), 7235−7247. https://doi.org/10.1007/s13369-018-3604-5

Allen, J., Piecyk, M., Piotrowska, M., McLeod, F., Cherrett, T., Ghali, K., Nguyen, T., Bektas, T., Bates, O., Friday, A., Wise, S., & Austwick, M. (2018). Understanding the impact of e-commerce on last-mile light goods vehicle activity in urban areas: the case of London. Transportation Research Part D: Transport and Environment, 61, 325−338. https://doi.org/10.1016/j.trd.2017.07.020

Almumar, M. M. S. (2019). Understanding the environmental performance of the Iraqi traditional courtyard house, Is there an order of façades orientation in randomly oriented land plots? Journal of Building Engineering, 22, 140−146. https://doi.org/10.1016/j.jobe.2018.12.004

Aruodas. (2019). Plots. Vilniaus city granary. https://www.aruodas.lt/sklypai/ (in Lithuanian)

Baušys, R., & Juodagalvienė, B. (2017). Garage location selection for residential house by WASPAS-SVNS method. Journal of Civil Engineering and Management, 23(3), 421–429. https://doi.org/10.3846/13923730.2016.1268645

Bausys, R., Cavallaro, F., & Semenas, R. (2019). Application of sustainability principles for harsh environment exploration by autonomous robot. Sustainability, 11(9), 518. https://doi.org/10.3390/su11092518

Baušys, R., Dundulis, G., Kačianauskas, R., Markauskas, D., Rimkevičius, S., Stupak, E., Stupak, S., & Šliaupa, S. (2008). Sensitivity of dynamic behaviour of the FE model: case study for the Ignalina NPP reactor building. Journal of Civil Engineering and Management, 14(2), 121−129.
https://doi.org/10.3846/1392-3730.2008.14.7

Bórawski, P., Bełdycka-Bórawska, A., Szymańska, E. J., Jankowski, K. J., & Dunn, J. W. (2019). Price volatility of agricultural land in Poland in the context of the European Union. Land Use Policy, 82, 486−496. https://doi.org/10.1016/j.landusepol.2018.11.027

Bradley, Q., & Sparling, W. (2017). The impact of neighbourhood planning and localism on house-building in England. Housing, Theory and Society, 34(1), 106−118. https://doi.org/10.1080/14036096.2016.1197852

Braulio-Gonzalo, M., Ruá, M. J., & Bovea, M. D. (2018). Exploring residential urban form patterns: a Spanish case study. International Planning Studies. https://doi.org/10.1080/13563475.2018.1552124

Bujanda, A., & Fullerton, T. M. (2017). Impacts of transportation infrastructure on single-family property values. Applied Economics, 49(51), 5183−5199. https://doi.org/10.1080/00036846.2017.1302064

Caravaggio, N., Caravella, S., Ishizaka, A., & Resce, G. (2019). Beyond CO2: a multi-criteria analysis of air pollution in Europe. Journal of Cleaner Production, 219, 576−586. https://doi.org/10.1016/j.jclepro.2019.02.115

Cecchini, M., Zambon, I., & Salvati, L. (2019). Housing and the city: a spatial analysis of residential building activity and the socio-demographic background in a Mediterranean city, 1990–2017. Sustainability, 11(2), 375. https://doi.org/10.3390/su11020375

Chalekaee, A., Turskis, Z., Khanzadi, M., Amiri, G. G., & Keršulienė, V. (2019). A new hybrid MCDM model with grey numbers for the construction delay change response problem. Sustainability, 11(3), 776. https://doi.org/10.3390/su11030776

Chen, J., Wang, J., Baležentis, T., Zagurskaitė, F., Streimikiene, D., & Makutėnienė, D. (2018). Multicriteria approach towards the sustainable selection of a teahouse location with sensitivity analysis. Sustainability, 10(8), 2926. https://doi.org/10.3390/su10082926

Chen, W., Panahi, M., Tsangaratos, P., Shahabi, H., Ilia, I., Panahi, S., Li, S., Jaafari, A., & Ahmad, B. B. (2019). Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility. Catena, 172, 212–231. https://doi.org/10.1016/j.catena.2018.08.025

Cheshire, P. (2018). Broken market or broken policy? The unintended consequences of restrictive planning. Journal Indexing and Metrics. https://doi.org/10.1177/002795011824500111

Christiansen, C., Eriksen, J. N., & Møller, S. V. (2019). Negative house price co-movements and US recessions. Regional Science and Urban Economics, 77, 382–394.
https://doi.org/10.1016/j.regsciurbeco.2019.06.007

Construction and Architecture. (2018). The implementation of BREEAM and LEED standards systems and certification requires additional investment. https://sa.lt/zyma/sertifikavimas/ (in Lithuanian)

Construction portal ASA.LT. (2017). Home security systems. http://lt.lt.allconstructions.com/portal/categories/10/1/0/1/article/18328/namu-apsaugos-sistemos (in Lithuanian)

Dahmen, J., Bergmann, J., & Das, M. (2018). Teardown index: impact of property values on carbon dioxide emissions of single family housing in Vancouver. Energy and Buildings, 170, 95−106. https://doi.org/10.1016/j.enbuild.2018.03.012

Di Cesare, S., Silveri, F., Sala, S., & Petti, L. (2016). Positive impacts in social life cycle assessment: state of the art and the way forward. International Journal of Life Cycle Assessment, 23(3), 406−421. https://doi.org/10.1007/s11367-016-1169-7

Džiugaitė-Tumėnienė, R., Motuzienė, V., Šiupšinskas, G., Čiuprinskas, K., & Rogoža, A. (2017). Integrated assessment of energy supply system of an energy-efficient house. Energy and Buildings, 138, 443−454.
https://doi.org/10.1016/j.enbuild.2016.12.058

Erdogan, M., & Kaya, I. (2019). Prioritizing failures by using hybrid multi criteria decision making methodology with a real case application. Sustainable Cities and Society, 45, 117−130. https://doi.org/10.1016/j.scs.2018.10.027

European Environment Agency. (2015). European environment: state and outlook 2015 Luxembourg: Publications Office of the European Union, 2015. https://www.eea.europa.eu/soer-2015/synthesis/europos-aplinka-bukle-ir-raidos (in Lithuanian)

European Union Agency for Fundamental Rights. (2019). EU Charter of Fundamental Rights. Article 7 - Respect for private and family life. https://fra.europa.eu/en/charterpedia/article/7-respect-private-and-family-life

Eurostat. (2019). Eurostat, Statistics Explained. Housing statistics. https://papersowl.com/discover/housing-statistics

Fatmi, M. R., & Habib, M. A. (2018). Microsimulation of lifestage transitions and residential location transitions within a life-oriented integrated urban modeling system. Computers, Environment and Urban Systems, 69, 87−103.
https://doi.org/10.1016/j.compenvurbsys.2018.01.003

Gallent, N., Hamiduddin, I., Stirling, P., & Kelsey, J. (2019). Prioritising local housing needs through land-use planning in rural areas: political theatre or amenity protection? Journal of Rural Studies, 66, 11−20. https://doi.org/10.1016/j.jrurstud.2019.01.028

Glumac, B., Herrera-Gomez, M., & Licheron, J. (2019). A hedonic urban land price index. Land Use Policy, 81, 802−812. https://doi.org/10.1016/j.landusepol.2018.11.032

Gugul, G. N., Koksal, M. A., & Ugursal, V. I. (2018). Technoeconomical analysis of building envelope and renewable energy technology retrofits to single family homes. Energy for Sustainable Development, 45, 159−170.
https://doi.org/10.1016/j.esd.2018.06.006

Guidon, S., Wicki, M., Bernauer, T., & Axhausen, K. (2019). The social aspect of residential location choice: on the trade-off between proximity to social contacts and commuting. Journal of Transport Geography, 74, 333−340. https://doi.org/10.1016/j.jtrangeo.2018.12.008

Hafezalkotob, A., Hami-Dindar, A., Rabie, N., & Hafezalkotob, A. (2018). A decision support system for agricultural machines and equipment selection: a case study on olive harvester machines. Computers and Electronics in Agriculture, 148, 207−216. https://doi.org/10.1016/j.compag.2018.03.012

Hashemkhani Zolfani, S., Maknoon, R., & Zavadskas, E. K. (2015). Multiple Nash equilibriums and evaluation of strategies. New application of MCDM methods. Journal of Business Economics and Management, 16(2), 290−306. https://doi.org/10.3846/16111699.2014.967715

Hidalgo, D., Martín-Marroquín, J. M., Corona, F., & Juaristi, J. L. (2018). Sustainable vacuum waste collection systems in areas of difficult access. Tunnelling and Underground Space Technology, 81, 221−227. https://doi.org/10.1016/j.tust.2018.07.026

Hiller, N., & Lerbs, O. W. (2016). Aging and urban house prices. Regional Science and Urban Economics, 60, 276−291. https://doi.org/10.1016/j.regsciurbeco.2016.07.010

Holmes, M. J., Otero, J., & Panagiotidis, T. (2019). Property heterogeneity and convergence club formation among local house prices. Journal of Housing Economics, 43, 1−13. https://doi.org/10.1016/j.jhe.2018.09.002

Humphreys, J., & Ahern, A. (2017). Is travel based residential self-selection a significant influence in modal choice and household location decisions? Transport Policy, 75, 150−160. https://doi.org/10.1016/j.tranpol.2017.04.002

Hussain, M. R. M., Tukiman, I., Zen, I., & Shahli, F. M. (2014). The impact of landscape design on house prices and values in residential development in urban areas. APCBEE Procedia, 10, 316−320. https://doi.org/10.1016/j.apcbee.2014.10.059

Invidiata, A., Lavagna, M., & Ghisi, E. (2018). Selecting design strategies using multi-criteria decision making to improve the sustainability of buildings. Building and Environment, 139, 58−68. https://doi.org/10.1016/j.buildenv.2018.04.041

Kaklauskas, A., Zavadskas, E. K., Banaitis, A., Meidute-Kavaliauskiene, I., Liberman, A., Dzitac, S., Ubarte, I., Binkyte, A., Cerkauskas, J., Kuzminske, A., & Naumcik, A. (2018a). A neuro-advertising property video recommendation system. Technological Forecasting and Social Change, 131, 78−93. https://doi.org/10.1016/j.techfore.2017.07.011

Kaklauskas, A., Zavadskas, E. K., Radzeviciene, A., Ubarte, I., Podviezko, A., Podvezko, V., Kuzminske, A., Banaitis, A., Binkyte, A., & Bucinskas, V. (2018b). Quality of city life multiple criteria analysis. Cities, 72, 82−93. https://doi.org/10.1016/j.cities.2017.08.002

Kamali, M., & Hewage, K. (2017). Development of performance criteria for sustainability evaluation of modular versus conventional construction methods. Journal of Cleaner Production, 142(4), 3592−3606. https://doi.org/10.1016/j.jclepro.2016.10.108

Kaoula, D., & Bouchair, A. (2020). Identification of the best material-energy-climate compatibility for five ecological houses and the contribution of their impact sources to the overall balance. Sustainable Cities and Society, 52, 101781. https://doi.org/10.1016/j.scs.2019.101781

Karami, S., Karami, E., Buys, L., & Drogemuller, R. (2017). System dynamic simulation: a new method in social impact assessment (SIA). Environmental Impact Assessment Review, 62, 25−34. https://doi.org/10.1016/j.eiar.2016.07.009

Kerimray, A., Suleimenov, B., De Miglio, R., Rojas-Solórzano, L., Torkmahalleh, M. A., & Ó Gallachóir, B. P. (2018). Investigating the energy transition to a coal free residential sector in Kazakhstan using a regionally disaggregated energy systems model. Journal of Cleaner Production, 196, 1532−1548. https://doi.org/10.1016/j.jclepro.2018.06.158

Keršulienė, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new stepwise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243–258. https://doi.org/10.3846/jbem.2010.12

Kokaraki, N., Hopfe, C. J., Robinson, E., & Nikolaidou, E. (2019). Testing the reliability of deterministic multi-criteria decisionmaking methods using building performance simulation. Renewable and Sustainable Energy Reviews, 112, 991−1007. https://doi.org/10.1016/j.rser.2019.06.018

Konstantinos, I., Georgios, T., & Garyfalos, A. (2019). A decision support system methodology for selecting wind farm installation locations using AHP and TOPSIS: case study in Eastern Macedonia and Thrace region, Greece. Energy Policy, 132, 232−246. https://doi.org/10.1016/j.enpol.2019.05.020

Kulakov, K., & Baronin, S. (2017). Methodical modeling of the investment value of land plots for housing development. International Science Conference SPbWOSCE-2016 “SMART City”, 106, 8. https://doi.org/10.1051/matecconf/201710608100

Law on Municipal Infrastructure Development of the Republic of Lithuania. (2018). Draft Law on Municipal Infrastructure Development of the Republic of Lithuania (No. 18-14021).
https://e-seimas.lrs.lt/portal/legalAct/lt/TAP/4b0e8710f4a311e8b5e8d681eb86525b?positionInSearchResults=7&searchModelUUID=0f9d0c98-695e-498a-8049-e58b45341583 (in Lithuanian)

Lithuanian Department of Statistics. (2013). Population and its territorial distribution. Lithuanian population and housing census 2011. Vilnius. https://www.stat.gov.lt/ (in Lithuanian)

Lithuanian Road Administration under the Ministry of Transport and Communications. (2018). Stages of reconstruction of road A14 Vilnius-Utena, 2018. https://lakd.lrv.lt/lt/naujienos/pradedamas-naujas-kelio-a14-vilnius-utena-rekonstravimo-etapas (in Lithuanian)

Luttik, J. (2000). The value of trees, water and open space as reflected by house prices in the Netherlands. Landscape and Urban Planning, 48, 161−167. https://doi.org/10.1016/S0169-2046(00)00039-6

Mardani, A., Jusoh, A., Halicka, K., Ejdys, J., Magruk, A., Norulkamar U., & Ahmad, U. (2018). Determining the utility in management by using multi-criteria decision support tools: a review. Economic Research-Ekonomska Istraživanja, 31(1), 1666−1716. https://doi.org/10.1080/1331677X.2018.1488600

Mardani, A., Nilashi, M., Zakuan, N., Loganathan, N., Soheilirad, S., Saman, M. Z. M., & Ibrahim, O. (2017). A systematic review and meta-analysis of SWARA and WASPAS methods: theory and applications with recent fuzzy developments. Applied Soft Computing, 57, 265−292. https://doi.org/10.1016/j.asoc.2017.03.045

Marques, S. C. R., Ferreira, F. A. F., Meidutė-Kavaliauskienė, I., & Banaitis, A. (2018). Classifying urban residential areas based on their exposure to crime: a constructivist approach. Sustainable Cities and Society, 39, 418−429. https://doi.org/10.1016/j.scs.2018.03.005

Martínez-Bravo, M. M., Martínez-del-Río, J., & Antolín-López, R. (2019). Trade-offs among urban sustainability, pollution and livability in European cities. Journal of Cleaner Production, 224, 651−660. https://doi.org/10.1016/j.jclepro.2019.03.110

Miguel, B. P., Ferreira, F. A. F., Banaitis, A., Banaitienė, N., Meidutė-Kavaliauskienė, I., & Falcão, P. F. (2019). An expanded conceptualization of “smart” cities: adding value with fuzzy cognitive maps. E&M Economics and Management – E&M Ekonomie a Management, 22(1), 4−21. https://doi.org/10.15240/tul/001/2019-1-001

Milić, J., & Zhou, J. (2018). Residential satisfaction among young people in post-socialist countries: the case of Serbia. Journal of Housing and the Built Environment, 33(4), 715−730. https://doi.org/10.1007/s10901-017-9579-9

Mishra, A. R., & Rani, P. (2018). Interval-valued intuitionistic fuzzy WASPAS method: application in reservoir flood control management policy. Group Decision and Negotiation, 27, 1047−1078. https://doi.org/10.1007/s10726-018-9593-7

Mishra, A. R., Rani, P., Pardasani, K. R., & Mardani, A. (2019). A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures. Journal of Cleaner Production, 238, 117901. https://doi.org/10.1016/j.jclepro.2019.117901

Mohammed, A., Harris, I., & Govindan, K. (2019). A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. International Journal of Production Economics, 217, 171−184. https://doi.org/10.1016/j.ijpe.2019.02.003

Motuzienė, V., Rogoža, A., Lapinskienė, V., & Vilutienė, T. (2016). Construction solutions for energy efficient singlefamily house based on its life cycle multi-criteria analysis: a case study. Journal of Cleaner Production, 112, 532−541. https://doi.org/10.1016/j.jclepro.2015.08.103

Nie, R., Wang, J., & Zhang, H. (2017). Solving solar-wind power station location problem using an extended weighted aggregated sum product assessment (WASPAS) technique with interval neutrosophic sets. Symmetry, 9(7), 106. https://doi.org/10.3390/sym9070106

Ober-Haus. (2019). Investment plot: how to choose a plot for successful investment, 2019. https://www.ober-haus.lt/ (in Lithuanian)

Ortiz, J., Fonseca, A., Salom, J., Garrido, N., Fonseca, P., & Russo, V. (2016). Comfort and economic criteria for selecting passive measures for the energy refurbishment of residential buildings in Catalonia, Energy and Buildings, 110, 195−210. https://doi.org/10.1016/j.enbuild.2015.10.022

Pamucar, D., Chatterjee, K., & Zavadskas, E. K. (2019). Assessment of third-party logistics provider using multi-criteria decision making approach based on interval rough numbers. Computers & Industrial Engineering, 127, 383−407. https://doi.org/10.1016/j.cie.2018.10.023

Peng, X., & Dai, J. (2017). Hesitant fuzzy soft decision making methods based on WASPAS, MABAC and COPRAS with combined weights. Journal of Intelligent & Fuzzy Systems, 33(2), 1313−1325. https://doi.org/10.3233/JIFS-17124

Petrovic, B., Myhren, J. A., Zhang, X., Wallhagen, M., & Eriksson, O. (2019). Life cycle assessment of a wooden single-family house in Sweden. Applied Energy, 251, 113253. https://doi.org/10.1016/j.apenergy.2019.05.056

Rokach, L., & Maimon, O. (2005). Clustering methods. In The data mining and knowledge discovery handbook (pp. 321−352). Springer-Verlag. https://doi.org/10.1007/0-387-25465-X_15

Saidi, S., Kattan, L., Jayasinghe, P., Hettiaratchi, P., & Taron, J. (2018). Integrated infrastructure systems – a review. Sustainable Cities and Society, 36, 1−11. https://doi.org/10.1016/j.scs.2017.09.022

Schitea, D., Deveci, M., Iordache, M., Bilgili, K., Akyurt, I. Z., & Iordachea, I. (2019). Hydrogen mobility roll-up site selection using intuitionistic fuzzy sets based WASPAS, COPRAS and EDAS. International Journal of Hydrogen Energy, 44(16), 8585−8600. https://doi.org/10.1016/j.ijhydene.2019.02.011

Si, J., Marjanovic-Halburd, L., Nasiri, F., & Bell, S. (2016). Assessment of building-integrated green technologies: a review and case study on applications of multi-criteria decision making (MCDM) method. Sustainable Cities and Society, 27, 106−115. https://doi.org/10.1016/j.scs.2016.06.013

Sierra, L. A., Yepes, V., & Pellicer, E. (2018). A review of multicriteria assessment of the social sustainability of infrastructures. Journal of Cleaner Production, 187, 496−513. https://doi.org/10.1016/j.jclepro.2018.03.022

Soflaei, F., Shokouhian, M., & Zhu, W. (2017). Socio-environmental sustainability in traditional courtyard houses of Iran and China. Renewable and Sustainable Energy Reviews, 69, 1147−1169. https://doi.org/10.1016/j.rser.2016.09.130

Solecka, I., Sylla, M., & Świąder, M. (2017). Urban sprawl impact on farmland conversion in suburban area of Wroclaw, Poland. IOP Conference Series: Materials Science and Engineering, 245. https://doi.org/10.1088/1757-899X/245/7/072002

Stanujkic, D., Karabasevic, D., Zavadskas, E. K., Smarandache, F., & Cavallaro, F. (2019). An approach to determining customer satisfaction in traditional Serbian restaurants. Entrepreneurship and Sustainability Issues, 6(3), 1127−1138. https://doi.org/10.9770/jesi.2019.6.3(5)

Stević, Ž., Pamučar, D., Subotić, M., Antuchevičiene, J., & Zavadskas, E. K. (2018). The location selection for roundabout construction using rough BWM-Rough WASPAS approach based on a new rough Hamy aggregator. Sustainability, 10(8), 2817. https://doi.org/10.3390/su10082817

Tao, L. W. (2018). Survey of the critical issue of the public housing privacy to influence on residents’ living condition in Hong Kong. HBRC Journal, 14, 288−293. https://doi.org/10.1016/j.hbrcj.2016.11.005

Tennekes, J., Harbers, A., & Buitelaar, E. (2015). Institutional arrangements and the morphology of residential development in the Netherlands, Flanders and North Rhine-Westphalia. European Planning Studies, 23, 2165−2183. https://doi.org/10.1080/09654313.2015.1018437

Turskis, Z., Goranin, N., Nurusheva, A., & Boranbayev, S. (2019b). A fuzzy WASPAS-based approach to determine critical information infrastructures of EU sustainable development. Sustainability, 11(2), 424. https://doi.org/10.3390/su11020424

Turskis, Z., Urbonas, K., & Daniūnas, A. (2019a). A hybrid fuzzy group multi-criteria assessment of structural solutions of the symmetric frame alternatives. Symmetry, 11(2), 1−20. https://doi.org/10.3390/sym11020261

Valdes-Vasquez, R., & Klotz, L. E. (2013). Social sustainability considerations during planning and design: framework of processes for construction projects. Journal of Construction Engineering and Management, 139(1). https://ascelibrary.org/doi/abs/10.1061/(ASCE)CO.1943-7862.0000566

Valipour, A., Yahaya, N., Md Noor, N., Valipour, I., & Tamošaitienė, J. (2019). A SWARA-COPRAS approach to the allocation of risk in water and sewerage public–private partnership projects in Malaysia. International Journal of Strategic Property Management, 23(4), 269−283. https://doi.org/10.3846/ijspm.2019.8066

Van der Duin, P., & Ligtvoet, A. (2019). Lines into the future. Exploring how Dutch infrastructure providers organize and manage their foresight processes. Futures, 105, 187−198. https://doi.org/10.1016/j.futures.2018.10.006

Vanclay, F. (2002). Conceptualising social impacts. Environmental Impact Assessment Review, 22(3), 183−211. https://doi.org/10.1016/S0195-9255(01)00105-6

Vilnius 2030. (2018). Vilnius 2030 – general plan solutions presented to Vilnius residents, 2018. https://vilnius.lt/lt/2018/06/01/vilnius-2030-vilnieciams-pristatyti-bendrojo-plano-sprendiniai/ (in Lithuanian)

Vilnius Plan. (2018). General plan of Vilnius city municipality territory, 2018. Preparing. Vilnius plan. https://vilnius.lt/lt/savivaldybe/miesto-pletra/vilniaus-miesto-bendrasis-planas/ (in Lithuanian)

Wey, W., Zhang, H., & Chang, Y. (2016). Alternative transit-oriented development evaluation in sustainable built environment planning. Habitat International, 55, 109−123.
https://doi.org/10.1016/j.habitatint.2016.03.003

Widjonarko, W. (2018). Spatial modelling of land price in the Semarang city. IOP Conference Series: Earth and Environmental Science, 123. https://doi.org/10.1088/1755-1315/123/1/012029

Yan, C., Rousse, D., & Glaus, M. (2019). Multi-criteria decision analysis ranking alternative heating systems for remote communities in Nunavik. Journal of Cleaner Production, 208, 1488−1497. https://doi.org/10.1016/j.jclepro.2018.10.104

Yap, J. Y. L., Ho, C. C., & Ting, C.-Y. (2019). A systematic review of the applications of multi-criteria decision-making methods in site selection problems. Built Environment Project and Asset Management, 9(4), 548−563. https://doi.org/10.1108/BEPAM-05-2018-0078

Yazdani-Chamzini, A., Zavadskas, E. K., Antucheviciene, J., & Bausys, R. (2017). A model for shovel capital cost estimation, using a hybrid model of multivariate regression and neural networks. Symmetry, 9(12), 1–14. https://doi.org/10.3390/sym9120298

Yimen, N., & Dagbasi, M. (2019). Multi-attribute decisionmaking: applying a modified Brown-Gibson model and RETScreen software to the optimal location process of utilityscale photovoltaic plants. Processes, 7(8), 505. https://doi.org/10.3390/pr7080505

Zamani, Z., Heidari, S., & Hanachi, P. (2018). Reviewing the thermal and microclimatic function of courtyards. Renewable and Sustainable Energy Reviews, 93, 580−595.
https://doi.org/10.1016/j.rser.2018.05.055

Zavadskas, E. K., Bausys, R., & Antucheviciene, J. (2019). Civil engineering and symmetry. Symmetry, 11(4), 1−6. https://doi.org/10.3390/sym11040501

Zavadskas, E. K., Bausys, R., & Mazonaviciute, I. (2019). Safety evaluation methodology of urban public parks by multi-criteria decision making. Landscape and Urban Planning, 189, 372−381. https://doi.org/10.1016/j.landurbplan.2019.05.014

Zavadskas, E. K., Bausys, R., Juodagalviene, B., & Garnyte-Sapranaviciene, I. (2017a). Model for residential house element and material selection by neutrosophic MULTIMOORA method. Engineering Applications of Artificial Intelligence, 64, 315−324. https://doi.org/10.1016/j.engappai.2017.06.020

Zavadskas, E. K., Bausys, R., Kaklauskas, A., Ubarte, I., Kuzminske, A., & Gudiene, N. (2017b). Sustainable market valuation of buildings by the single-valued neutrosophic MAMVA method. Applied Soft Computing, 57, 74−87.
https://doi.org/10.1016/j.asoc.2017.03.040

Zavadskas, E. K., Kaklauskas, A., Kalibatas, D., Turskis, Z., Krutinis, M., & Bartkienė, L. (2018). Applying the TOPSIS-F method to assess air pollution in Vilnius. Environmental Engineering and Management Journal, 17(9), 2041−2050. https://doi.org/10.30638/eemj.2018.203

Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Electronics and Electrical Engineering, 122(6), 3−6. https://doi.org/10.5755/j01.eee.122.6.1810

Zhao, X., Liang, J., & Dang, C. (2019). A stratified sampling based clustering algorithm for large-scale data. KnowledgeBased Systems, 163, 416−428. https://doi.org/10.1016/j.knosys.2018.09.007