Decision-analytics-based Sustainable Location Problem - Neutrosophic CRITIC-COPRAS Assessment Model
DOI:
https://doi.org/10.31181/msa2120257Keywords:
School site selection, Educational institute, Neutrosophic set, CRITIC, COPRASAbstract
School is the place where students get the opportunity to accrue knowledge and quality education. Choosing a suitable location for establishing a new school is dependent on various factors like population density, socio-economic situation, environment of that place, land availability, accessibility, infrastructure etc. In this paper, our aim is to identify the optimal site for establishing a new school in Paschim Bardhaman district using Multi Criteria Decision Making (MCDM) method. Here, two MCDM method namely Criteria Importance Through Intercriteria Correlation (CRITIC) method is used for evaluating criteria weight and further the Complex Proportional Assessment (COPRAS) method is applied for ranking the sites chosen as alternatives. We consider Intuitionistic fuzzy number to incorporate uncertainty in data set. Further sensitivity and comparative analysis are performed to verify the accuracy and stability of the result. Thus we obtain a framework which will be very helpful for urban planners and government policy makers to make informed decisions for educational development.
Downloads
References
Ye, Z., Chen, Y., Jiang, X., Song, G., Yang, B., & Fan, S. (2022). Improving sample efficiency in multi-agent actor-critic methods. Applied Intelligence, 1–14. https://doi.org/10.1007/s10489-021-02554-5
Zhong, S., Chen, Y., & Miao, Y. (2023). Using improved critic method to evaluate thermal coal suppliers. Scientific reports, 13(1), 195. https://doi.org/10.1038/s41598-023-27495-6
Lu, J., Zhang, S., Wu, J., & Wei, Y. (2021). COPRAS method for multiple attribute group decision making under picture fuzzy environment and their application to green supplier selection. Technological and economic development of economy, 27(2), 369–385. https://doi.org/10.3846/tede.2021.14211
Kundakcı, N., & Isık, A. (2016). Integration of MACBETH and COPRAS methods to select air com- pressor for a textile company. Decision Science Letters, 5(3), 381–394. https://doi.org/10.5267/j.dsl.2016.2.003
De Gennaro, G., Farella, G., Marzocca, A., Mazzone, A., & Tutino, M. (2013). Indoor and outdoor monitoring of volatile organic compounds in school buildings: Indicators based on health risk assessment to single out critical issues. International journal of environmental research and public health, 10(12), 6273–6291. https://doi.org/10.3390/ijerph10126273
Mukherjee, M. (2012). Do better roads increase school enrollment? evidence from a unique road policy in India. Evidence from a Unique Road Policy in India (August 28, 2012). https://doi.org/10.2139/ssrn.2207761
Bowers, A. J. (2015). Site selection in school district research: A measure of effectiveness using hierarchical longitudinal growth models of performance. School Leadership & Management, 35(1), 39–61. https://doi.org/10.1080/13632434.2014.962500
Talam, P. K., & Ngigi, M. M. (2015). Integration of GIS and multicriteria evaluation for school site selection a case study of belgut constituency.
Jamal, I. (2016). Multi-criteria gis analysis for school site selection in Gorno Badakhshan autonomous oblast, Tajikistan. Master Thesis in Geographical Information Science.
Panahi, M., Yekrangnia, M., Bagheri, Z., Pourghasemi, H. R., Rezaie, F., Aghdam, I. N., & Dama- vandi, A. A. (2019). GIS-based SWARA and its ensemble by RBF and ICA data-mining techniques for determining suitability of existing schools and site selection of new school buildings. In Spatial modeling in GIS and r for earth and environmental sciences (pp. 161–188). Elsevier. https://doi.org/10.1016/B978-0-12-815226-3.00007-7
Baser, V. (2020). Effectiveness of school site decisions on land use policy in the planning pro- cess. ISPRS International Journal of Geo-Information, 9(11), 662. https://doi.org/10.3390/ijgi9110662
Palm, M., & Farber, S. (2020). The role of public transit in school choice and after-school activity participation among toronto high school students. Travel behaviour and society, 19, 219–230. https://doi.org/10.1016/j.tbs.2020.01.007
Zaheer, N., Hassan, S.-U., Ali, M., & Shabbir, M. (2022). Optimal school site selection in urban areas using deep neural networks. Journal of Ambient Intelligence and Humanized Computing, 1–15. https://doi.org/10.1007/s12652-021-02903-9
Gonza´ lez-Espejo, F., Astroza, S., & Hurtubia, R. (2022). On the relation between school and residential location choice: Evidence of heterogeneous strategies from Santiago de Chile. Journal of transport geography, 102, 103359. https://doi.org/10.1016/j.jtrangeo.2022.103359
Alamin, A., Gazi, K. H., & Mondal, S. P. (2024). Solution of second order linear homogeneous fuzzy difference equation with constant coefficients by geometric approach. Journal of Decision Analytics and Intelligent Computing, 4(1), 241–252. https://doi.org/10.31181/jdaic10021122024a
Mishra, A. R., Liu, P., & Rani, P. (2022). COPRAS method based on interval-valued hesitant fermatean fuzzy sets and its application in selecting desalination technology. Applied soft computing, 119, 108570. https://doi.org/10.1016/j.asoc.2022.108570
Rahaman, M., Chalishajar, D., Gazi, K. H., Alam, S., Salahshour, S., & Mondal, S. P. (2025). Fractional calculus for type 2 interval-valued functions. Fractal Fract, 9(2), 102. https://doi.org/10.3390/fractalfract9020102
Kumari, R., & Mishra, A. R. (2020). Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: Application of green supplier selection. Iranian journal of science and technology, Transactions of Electrical Engineering, 44(4), 1645–1662. https://doi.org/10.1007/s40998-020-00312-w
Alamin, A., Biswas, A., Gazi, K. H., & Mondal, S. P. (2024). Modelling with neutrosophic fuzzy sets for financial applications in discrete system. Spectrum of Engineering and Management Sciences, 2(1), 263–280. https://doi.org/10.31181/sems21202433a
Deli, I., & Subas, Y. (2017). A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems. International Journal of Machine Learning and Cybernetics, 8, 1309–1322. https://doi.org/10.1007/s13042-016-0505-3
Abdel-Basset, M., Mohamed, M., & Sangaiah, A. K. (2017). Neutrosophic AHP-Delphi group decision making model based on trapezoidal neutrosophic numbers. Journal of Ambient Intelligence and Humanized Computing, 9, 1427–1443. https://doi.org/10.1007/s12652-017-0548-7
Garg, H., & Nancy. (2018). New logarithmic operational laws and their applications to multiattribute decision making for single-valued neutrosophic numbers. Cognitive Systems Research, 52, 931–946. https://doi.org/10.1016/j.cogsys.2018.09.001
Nabeeh, N. A., Smarandache, F., Abdel-Basset, M., El-Ghareeb, H. A., & Aboelfetouh, A. (2019). An integrated neutrosophic-TOPSIS approach and its application to personnel selection: A new trend in brain processing and analysis. Journals & Magazines, 7, 29734–29744. https://doi.org/10.1109/ACCESS.2019.2899841
Fan, C., Feng, S., & Hu, K. (2019). Linguistic neutrosophic numbers Einstein operator and its application in decision making. Mathematics, 7(5), 389. https://doi.org/10.3390/math7050389
Muhamediyeva, D., & Egamberdiyev, N. (2021). An application of gauss neutrosophic numbers in medical diagnosis. 2021 International Conference on Information Science and Communications Technologies (ICISCT), 1–4. https://doi.org/10.1109/ICISCT52966.2021.9670195
Das, S. K., & Edalatpanah, S. (2020). A new ranking function of triangular neutrosophic number and its application in integer programming. International Journal of Neutrosophic Science (IJNS), 4(2), 82–92. https://doi.org/10.5281/zenodo.3767107
Biswas, A., Gazi, K. H., Bhaduri, P., & Mondal, S. P. (2024). Neutrosophic fuzzy decision-making framework for site selection. Journal of Decision Analytics and Intelligent Computing, 4(1), 187–215. https://doi.org/10.31181/jdaic10004122024b
Rahaman, M., Mondal, S. P., Ahmad, S., Gazi, K. H., & Ghosh, A. (2025). Study of the system of uncertain linear differential equations under neutrosophic sense of uncertainty. Spectrum of Engineering and Management Sciences, 3(1), 93–109. https://doi.org/10.31181/sems31202536r
Biswas, A., Gazi, K. H., Bhaduri, P., & Mondal, S. P. (2025). Site selection for girls hostel in a university campus by MCDM based strategy. Spectrum of Decision Making and Applications, 2(1), 68–93. https://doi.org/10.31181/sdmap21202511
Momena, A. F., Gazi, K. H., Rahaman, M., Sobczak, A., Salahshour, S., Mondal, S. P., & Ghosh, A. (2024). Ranking and challenges of supply chain companies using MCDM methodology. Logistics, 8(3), 87. https://doi.org/10.3390/logistics8030087
Adhikari, D., Gazi, K. H., Sobczak, A., Giri, B. C., Salahshour, S., & Mondal, S. P. (2024). Ranking of different states in india based on sustainable women empowerment using MCDM methodology under uncertain environment. Journal of Uncertain Systems, 17(4), 1–52. https://doi.org/10.1142/S1752890924500107
Wu, H.-W., Zhen, J., & Zhang, J. (2020). Urban rail transit operation safety evaluation based on an improved CRITIC method and cloud model. Journal of Rail Transport Planning & Management, 16, 100206. https://doi.org/10.1016/j.jrtpm.2020.100206
Krishnan, A. R., Kasim, M. M., Hamid, R., & Ghazali, M. F. (2021). A modified critic method to estimate the objective weights of decision criteria. Symmetry, 13(6), 973. https://doi.org/10.3390/sym13060973
Pamucar, D., Zizovic, M., & Duricić, D. (2022). Modification of the critic method using fuzzy rough numbers. Decision Making: Applications in Management and Engineering, 5(2), 362–371. https://doi.org/10.31181/dmame0316102022p
Haktanır, E., & Kahraman, C. (2022). A novel picture fuzzy CRITIC & regime methodology: Wearable health technology application. Engineering Applications of Artificial Intelligence, 113, 104942. https://doi.org/10.1016/j.engappai.2022.104942
Puska, A., Nedeljkovic, M., Prodanovic, R., Vladisavljevic, R., & Suzic, R. (2022). Market assessment of pear varieties in Serbia using fuzzy CRADIS and critic methods. Agriculture, 12(2), 139. https://doi.org/10.3390/agriculture12020139
Sharkasi, N., & Rezakhah, S. (2022). A modified critic with a reference point based on fuzzy logic and hamming distance. Knowledge-Based Systems, 255, 109768. https://doi.org/10.1016/j.knosys.2022.109768
Kahraman, C., Onar, S. C., & Oztays¸i, B. (2022). A novel spherical fuzzy critic method and its application to prioritization of supplier selection criteria. Journal of Intelligent & Fuzzy Systems, 42(1), 29–36. https://doi.org/10.3233/JIFS-219172
Mishra, A. R., Chen, S.-M., & Rani, P. (2023). Multicriteria decision making based on novel score function of Fermatean fuzzy numbers, the critic method, and the GLDS method. Information Sciences, 623, 915–931. https://doi.org/10.1016/j.ins.2022.12.031
Turanoglu Bekar, E., Cakmakci, M., & Kahraman, C. (2016). Fuzzy copras method for perfor- mance measurement in total productive maintenance: A comparative analysis. Journal of Business Economics and Management, 17(5), 663–684. https://doi.org/10.3846/16111699.2016.1202314
Kamali Saraji, M., Streimikiene, D., & Kyriakopoulos, G. L. (2021). Fermatean fuzzy CRITIC-COPRAS method for evaluating the challenges to industry 4.0 adoption for a sustainable digital trans- formation. Sustainability, 13(17), 9577. https://doi.org/10.3390/su13179577
Fan, J., Han, D., & Wu, M. (2022). T-spherical fuzzy COPRAS method for multi-criteria decision-making problem. Journal of Intelligent & Fuzzy Systems, 43(3), 2789–2801. https://doi.org/10.3233/JIFS-213227
Naz, S., Akram, M., Al-Shamiri, M. M. A., & Saeed, M. R. (2022). Evaluation of network security service provider using 2-tuple linguistic complex q-rung orthopair fuzzy COPRAS method. Complexity, 2022(1), 4523287. https://doi.org/10.1155/2022/4523287
Naz, S., Akram, M., & Muzammal, M. (2023). Group decision-making based on 2-tuple linguistic t-spherical fuzzy COPRAS method. Soft Computing, 27(6), 2873–2902. https://doi.org/10.1007/s00500-022-07644-1
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Gazi, K. H., Biswas, A., Singh, P., Rahaman, M., Maity, S., Mahata, A., & Mondal, S. P. (2024). A comprehensive literature review of fuzzy differential equations with applications. Journal of Fuzzy Extension and Applications, 1–28. https://doi.org/10.22105/jfea.2024.449970.1426
Singh, P., Gazi, K. H., Rahaman, M., Basuri, T., & Mondal, S. P. (2024). Solution strategy and associated results for fuzzy mellin transformation. Franklin Open, 7, 100112. https://doi.org/10.1016/j.fraope.2024.100112
Singh, P., Gazi, K. H., Rahaman, M., Salahshour, S., & Mondal, S. P. (2024). A fuzzy fractional power series approximation and Taylor expansion for solving fuzzy fractional differential equation. Decision Analytics Journal, 10(100402). https://doi.org/10.1016/j.dajour.2024.100402
Ponnivalavan, K., & Pathinathan, T. (2015). Intuitionistic pentagonal fuzzy number. ARPN Jour- nal of Engineering and Applied Sciences, 10(12), 5446–5450.
Chakraborty, A., Banik, B., Mondal, S. P., & Alam, S. (2020). Arithmetic and geometric operators of pentagonal neutrosophic number and its application in mobile communication service based mcgdm problem. Neutrosophic Sets and Systems, 32, 61–79.
Senapathi, T., & Yager, R. R. (2019). Some new operations over fermatean fuzzynumbers and application of Fermatean fuzzy wpm in multiple criteria decision making. Informatica, 30(2), 391–412.
Gundogdu, F. K., & Kahraman, C. (2019). Spherical fuzzy sets and spherical fuzzy TOPSIS method. Journal of Intelligent and Fuzzy Systems, 36(1), 337–352. https://doi.org/10.3233/JIFS-181401
Gazi, K. H., Momena, A. F., Salahshour, S., Mondal, S. P., & Ghosh, A. (2024). Synergistic strategy of sustainable hospital site selection in Saudi Arabia using spherical fuzzy MCDM methodology. Journal of Uncertain Systems, (2450004). https://doi.org/10.1142/S1752890924500041
Diakoulaki, D., Mavrota, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 763–770. https://doi.org/10.1016/0305-0548(94)00059-H
Al Awadh, M., & Mallick, J. (2024). A decision-making framework for landfill site selection in Saudi Arabia using explainable artificial intelligence and multi-criteria analysis. Environmental Technology & Innovation, 33, 103464. https://doi.org/10.1016/j.eti.2023.103464
Alavi, S. M. S., Maleki, A., Noroozian, A., & Khaleghi, A. (2024). Simultaneous optimal site selection and sizing of a grid-independent hybrid wind/hydrogen system using a hybrid optimization method based on ELECTRE: A case study in Iran. International Journal of Hydrogen Energy, 55, 970–983. https://doi.org/10.1016/j.ijhydene.2023.11.110
Dehghani, A., & Soltani, A. (2024). Site selection of car parking with the GIS-based fuzzy multi- criteria decision making. International Journal of Information Technology & Decision Making, 23(02), 715–740. https://doi.org/10.1142/S0219622023500293
Valant, J., & Lincove, J. A. (2023). Transportation inequities and school choice: How car, public transit, and school bus access affect families’ options. Educational Researcher, 52(9), 535–543. https://doi.org/10.3102/0013189X231189465
Saini, P., & Pandit, D. (2024). Factors influencing residential location choice: Learnings from the indian context. Open House International, 49(3), 514–530. https://doi.org /10.1108/OHI- 02-2023-0027
Moussa, M., & Mostafaand Ahmed Abou Elwafa, Y. (2017). School site selection process. Procedia Environmental Sciences, 37, 282–293. https://doi.org/10.1016/j.proenv.2017.03.059
Zubaidah, B., Ahmad Rodzi, M., & Noordin, A. (2012). Spatial multi-criteria decision analysis for safe school site selection. Jurnal Pengurusan dan Kepimpinan Pendidikan, 24(02), 91–108.
Woehr, W. S. (1973). A study of the factors and procedures used for school site selection, site development, and site utilization.
Osborne, S., Uche, O., Mitsakou, C., Exley, K., & Dimitroulopoulou, S. (2021). Air quality around schools: Part I - A comprehensive literature review across high-income countries. Environmental research, 196, 110817. https://doi.org/10.1016/j.envres.2021.110817
Zagatti, E., Russo, M., & Pietrogrande, M. C. (2020). On-site monitoring indoor air quality in schools: A real-world investigation to engage high school science students. Journal of Chemical Education, 97(11), 4069–4072. https://doi.org/10.1021/acs.jchemed.0c00065
Savelieva, K., Marttila, T., Lampi, J., Ung-Lanki, S., Elovainio, M., & Pekkanen, J. (2019). Associations between indoor environmental quality in schools and symptom reporting in pupil- administered questionnaires. Environmental Health, 18, 1–12. https://doi.org/10.1186/s12940-019-0555-6
Dobhal, R., Jeelani, N., Uniyal, D., Khandka, S., & Shrivastava, N. (2012). Water quality analysis of selected schools of kumaonregion, uttarakhand, india. Environment Conservation Journal, 13(1&2), 161–167. https://doi.org/10.36953/ECJ.2012.131231
Spellerberg, I., Ward, J., & Smith, F. (2004). A water quality monitoring programme for schools and communities. Journal of Biological Education, 38(4), 163–166. https://doi.org/10.1080/00219266.2004.9655935
Islam, M. O., & Ghorai, M. (2024). The impact of water quality on children’s education: Evidence from 39 districts in the Ganges basin of India. Environment and Development Economics, 1–20. https://doi.org/10.1017/S1355770X24000123
Shimamura, Y., Shimizutani, S., Taguchi, S., & Yamada, H. (2022). The impact of better access to improved water sources on health, schooling, and water collection of girls and boys in rural Zambia. The Journal of Development Studies, 58(9), 1750–1771. https://doi.org/10.1080/00220388.2022.2048650
Ahmed, S., Rifaat, S. M., Ahmad, M. Z., & Uddin, M. S. S. (2021). A study on comparison of noise level at educational institutions adjacent to highways connecting with Dhaka city. TECHNOLOGY, 6, 7.
Wiater, J., & G Ladyszewska-Fiedoruk, K. (2024). Analysis of noise in education buildings. Journal of Ecological Engineering, 25(2). https://doi.org/10.12911/22998993/176142
Vincent, J. M. (2006). Public schools as public infrastructure: Roles for planning researchers. Journal of Planning Education and Research, 25(4), 433–437. https://doi.org/10.1177/0739456X06288092
Kouri, C. (1999). Wait for the bus: How low country school site selection and design deter walking to school and contribute to urban sprawl.
El-Nwsany, R. I., Maarouf, I., & Abdel-Aal, W. (2019). Water management as a vital factor for a sustainable school. Alexandria Engineering Journal, 58(1), 303–313. https://doi.org/10.1016/j.aej.2018.12.012
Kumambala, P. G., & Ervine, A. (2009). Site selection for combine hydro, irrigation and water supply in Malawi: Assessment of water resource availability. Desalination, 248(1-3), 537–545. https://doi.org/10.1016/j.desal.2008.05.099
Koima, J. (2024). School electrification and academic outcomes in rural Kenya. Journal of Development Economics, 166, 103178. https://doi.org/10.1016/j.jdeveco.2023.103178
Welland, A. (2017). Education and the electrification of rural schools. Smart Villages Partner- ship, Cambridge.
Kwak, C. (2022). Applicability analysis of trunk drainage sewer system for reduction of inundation in urban dense areas. Water, 14(21), 3399. https://doi.org/10.3390/w14213399
Ouattara, Z. A., Kabo-Bah, A. T., Dongo, K., & Akpoti, K. (2023). A review of sewerage and drainage systems typologies with case study in Abidjan, cote d’ivoire: Failures, policy and management techniques perspectives. Cogent Engineering, 10(1), 2178125. https://doi.org/10.1080/23311916.2023.2178125
Saadat Foomani, M., & Malekmohammadi, B. (2020). Site selection of sustainable urban drainage systems using fuzzy logic and multi-criteria decision-making. Water and Environment Journal, 34(4), 584–599. https://doi.org/10.1111/wej.12487
Ghashim, I. A., & Arshad, M. (2023). Internet of things (IoT)-based teaching and learning: Modern trends and open challenges. Sustainability, 15(21), 15656. https://doi.org/10.3390/su152115656
Dogruer, N., Eyyam, R., & Menevis, I. (2011). The use of the internet for educational purposes. Procedia-Social and Behavioral Sciences, 28, 606–611. https://doi.org/10.1016/j.sbspro.2011.11.115
Gu, L. (2017). Using school websites for home–school communication and parental involvement? Nordic Journal of Studies in Educational Policy, 3(2), 133–143. https://doi.org/10.1080/20020317.2017.1338498
Saxena, R., & Kamal, M. A. (2018). The impact of built environment on crime prevention and safety in schools: An environmental-behavior design guidelines approach. American Journal of Civil Engineering and Architecture, 6(6), 260–270. https://doi.org/10.12691/ajcea-6-6-5
Timm, P. (2021). School security: How to build and strengthen a school safety program. Butterworth- Heinemann.
Seraji, H. (2006). Safety measures for terrain classification and safest site selection. Autonomous Robots, 21(3), 211–225. https://doi.org/10.1007/s10514-006-9716-x
Mubita, K. (2021). Understanding school safety and security: Conceptualization and definitions. Journal of Lexicography and Terminology (Online ISSN 2664-0899. Print ISSN 2517-9306)., 5(1), 76–86.
Perumean-Chaney, S. E., & Sutton, L. M. (2013). Students and perceived school safety: The impact of school security measures. American Journal of Criminal Justice, 38, 570–588. https://doi.org/10.1007/s12103-012-9182-2
Astor, R. A., Meyer, H. A., Benbenishty, R., Marachi, R., & Rosemond, M. (2005). School safety interventions: Best practices and programs. Children & Schools, 27(1), 17–32. https://doi.org/10.1093/cs/27.1.17
Adiyono, A., Mandasari, K., Laila, N., & Suryani, N. Y. (2024). School facility security: An evaluation of surveillance technologies and efforts to improve physical security. International Education Trend Issues, 2(1), 67–79. https://doi.org/10.56442/ieti.v2i1.430
Habib Ullah, K., Abbas, M., Alruwaili, O., Nazir, S., Siddiqi, M. H., & Alanazi, S. (2024). Selection of a smart and secure education school system based on the internet of things using entropy and TOPSIS approaches. https://doi.org/10.1016/j.chb.2024.108346
Birnhack, M., & Perry-Hazan, L. (2020). School surveillance in context: High school students’ perspectives on cctv, privacy, and security. Youth & Society, 52(7), 1312–1330. https://doi.org/10.1177/0044118X20916617
Hassanain, M. A., Aljuhani, M., Hamida, M. B., & Salaheldin, M. H. (2022). A framework for fire safety management in school facilities. International journal of built environment and sustain- ability, 9(2), 1–9. https://doi.org/10.11113/ijbes.v9.n2.901
Seyedin, H., Dowlati, M., Moslehi, S., & Sakhaei, F. S. (2020). Health, safety, and education measures for fire in schools: A review article. Journal of education and health promotion, 9(1), 121. https://doi.org/10.4103/jehp.jehp66519
Nadzim, N., & Taib, M. (2014). Appraisal of fire safety management systems at educational buildings. SHS Web of Conferences, 11, 01005. https://doi.org/10.1051/shsconf/20141101005
Fermanich, M., Odden, A., & Archibald, S. (2000). A case study of district decentralization and site-based budgeting: Cordell place school district.
Peternick, L., & Sherman, J. (1998). Site-based budgeting in fort worth, Texas. Journal of Education Finance, 23(4), 532–556.
Conley, S. C., & Bacharach, S. B. (1990). From school-site management to participatory school- site management. The Phi Delta Kappan, 71(7), 539–544.
Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014). Effectiveness of virtual reality-based instruction on students’ learning outcomes in k-12 and higher education: A meta-analysis. Computers & education, 70, 29–40. https://doi.org/10.1016/j.compedu.2013.07.033
Proctor, A. M. (1950). Site selection and development for a secondary school plant. The High
School Journal, 33(2), 49–55.
Miller, M. A. (2008). Planning for enrollment growth: Using land use data to determine future school sites. Transportation Research Record, 2074(1), 12–20. https://doi.org/10.3141/2074-02
Kazar, G., Yig˘it, U., & Boyabatlı, K. E. (2024). Predicting maintenance cost overruns in public school buildings using a rough topological approach. Automation in Construction, 168, 105810. https://doi.org/10.1016/j.autcon.2024.105810
Obradovic, D., Bris Alic, M., & Culo, K. (2024). The issue of estimating the maintenance and operation costs of buildings: A case study of a school. Eng, 5(3), 1209–1231. https://doi.org/10.3390/eng5030066
Ropi, R. M., & Tabassi, A. (2014). Study on maintenance practices for school buildings in Terengganu and Kedah, Malaysia. MATEC Web of Conferences, 10, 03003. https://doi.org/10.1051/matecconf/20141003003
Tijanic Strok, K., Marenjak, S., & Car-Pusic, D. (2022). Analysis of the current maintenance man-agement process in school buildings: Study area of primorje-gorski Kotar county, Republic of Croatia. Frontiers in built environment, 8, 912326. https://doi.org/10.3389/fbuil.2022.912326
Onyinkwa, J. (2014). Factors influencing compliance to procurement regulations in public sec- ondary schools in Kenya: A case of Namche district, Kisii county. Doctoral dissertation.
Chogo, K. C. (2018). Factors affecting procurement law compliance in public secondary schools in kenya (a case study of public secondary schools in Kwale county). Doctoral dissertation.
Muthiani, R. M. (2016). Factors influencing schools compliance to safety standards guidelines in public secondary schools in Kitui central sub county, Kitui county. Doctoral dissertation.
Hammad, A. W., Akbarnezhad, A., Haddad, A., & Vazquez, E. G. (2019). Sustainable zoning, land-use allocation and facility location optimisation in smart cities. Energies, 12(7), 1318. https://doi.org/10.3390/en12071318
Bhadhane, P., Jain, R., Joshi, D. A., & Menon, R. (2020). Zoning strategies for urban land use planning. International Journal of Engineering and Advanced Technology, 9(3), 4187–4190. https://doi.org/10.35940/ijeat.C5257.029320
Siegel-Hawley, G. (2024). The potential for land use and housing reform to address school segregation and educational opportunity.
Pat Wardlaw, H. (1952). State approval and accrediting standards for secondary schools. The bulletin of the National Association of Secondary School Principals, 36(186), 198–201. https://doi.org/10.1177/019263655203618636
Ennis, J. R. (1973). Effects of approval and disapproval by the Illinois school building commission on school districts. Illinois State University.
Lowrey, B. (1989). School site selection and approval guide.
De Armas, J., Ramalhinho, H., & Reynal-Querol, M. (2022). Improving the accessibility to public schools in urban areas of developing countries through a location model and an analytical framework. Plos one, 17(1), e0262520. https://doi.org/10.1371/journal.pone.0262520
Khan, S., & Kotharkar, R. (2012). Performance evaluation of school environs: Evolving an ap- propriate methodology building. Procedia-Social and Behavioral Sciences, 50, 479–491. https://doi.org/10.1016/j.sbspro.2012.08.052
Juan, Y.-K., Hsu, Y.-C., & Chang, Y.-P. (2021). Site selection assessment of vacant campus space transforming into daily care centers for the aged. International Journal of Strategic Property Management, 25(1), 34–49. https://doi.org/10.3846/ijspm.2020.13800
Downloads
Published
Issue
Section
How to Cite
