Methodological approaches in prioritizing municipal projects: A case study of the municipality of the holy capital (Makkah)
Vol 8, Issue 15, 2024
VIEWS - 12 (Abstract) 9 (PDF)
Abstract
This study aims to develop a robust prioritization model for municipal projects in the Holy Metropolitan Municipality (Makkah) to address the challenges of aligning short-term and long-term objectives. The research explores How multi-criteria decision-making (MCDM) techniques can prioritize municipal projects effectively while ensuring alignment with strategic goals and local needs. The methodology employs the analytic hierarchy process (AHP) and exploratory factor analysis (EFA) to ensure methodological rigor and data adequacy. Data were collected from key stakeholders, including municipal planners and community representatives, to enhance transparency and reliability. The model’s validity was assessed through latent factor analysis, confirming the relevance of identified criteria and factors. Results indicate that flood prevention projects are the highest priority (0.4246), followed by road projects (0.3532), park construction (0.1026), utility projects (0.0776), and digital transformation (0.0416). The study highlights that certain factors are critical for evaluating and prioritizing municipal projects. “Capacity and Demand” emerged as the most influential factor (0.5643), followed by “Strategic Alignment” (0.2013), “Project Interdependence” (0.1088), “Increasing Investment” (0.0950), and “Risk” (0.0306). These findings are significant as they offer a structured, data-driven approach to decision-making aligned with Saudi Vision 2030. The proposed model optimizes resource allocation and project selection, representing a pioneering effort to develop the first prioritization framework specifically tailored to Makkah’s unique municipal needs. Notably, this is the first study to establish a prioritization method specifically for Makkah’s municipal projects, providing valuable contributions to the field.
Keywords
Full Text:
PDFReferences
Alipour Vaezi, M., & Tavakkoli-Moghaddam, R. (2020). A new methodology for COVID-19 preparedness centers based on a location-allocation platform. Journal of Industrial Systems Engineering, 13(1), 35–41.
Alipour-Vaezi, M., Aghsami, A., & Rabbani, M. (2022). Introducing a novel revenue-sharing contract in media supply chain management using data mining and multi-criteria decision-making methods. Soft Computing, 1–18.
Alpaugh, A. D. (2008). A systematic approach to project portfolio selection for municipal economic development: A case study in Vienna, Missouri.
Al-Sobai, K. M., Pokharel, S., & Abdella, G. M. (2024). A framework for prioritization and selection of strategic projects. IEEE Transactions on Engineering Management, 71, 2310-2323. https://doi.org/10.1109/TEM.2022.3177364
Baysal, M., Kaya, İ., Kahraman, C., Sarucan, A., & Engin, O. (2015). A two-phased fuzzy methodology for selection among municipal projects. Technological and Economic Development of Economy, 21(3), 405-422. https://doi.org/10.3846/20294913.2014.909902
Benjamin, C. O. (1985). A linear goal-programming model for public-sector project selection. Journal of the Operational Research Society, 36(1), 13–23. https://doi.org/10.1057/jors.1985.3
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98.
Dutra, C. C., Ribeiro, J. D., & Carvalho, M. M. (2014). An economic-probabilistic model for project selection and prioritization. *International Journal of Project Management, 32(6), 1042–1055.
Ehsanifar, M. (2013). The development of the UTASTAR method in a fuzzy environment for supplier selection. *European Journal of Scientific Research, 108*(3), 317–326.
Elbok, G., & Berrado, A. (2020). Project prioritization for portfolio selection using MCDA. In Proceedings of the International Conference on Industrial Engineering and Operations Management (pp. 2317-2326).
Elsaman, H. A., El-Bayaa, N., & Kousihan, S. (2022). Measuring and validating the factors influencing SME business growth in Germany—Descriptive analysis and construct validation. Data, 7(11), 158. https://doi.org/10.3390/data7110158
Erzin, Y., & Tuskan, Y. (2017). Prediction of standard penetration test (SPT) value in Izmir, Turkey using radial basis neural network. Celal Bayar University Journal of Science, 13(2), 433-439.
Erzin, Y., & Tuskan, Y. (2019). The use of neural networks for predicting the factor of safety of soil against liquefaction. Scientia Iranica, 26(5), 2615-2623.
Gao, Z., Liang, R. Y., & Xuan, T. (2019). VIKOR method for ranking concrete bridge repair projects with target-based criteria. *Results in Engineering, 3, 100018.
Golden, B. L., & Wang, Q. (1990). An alternative measure of consistency. In B. L. Golden, A. Wasil, & P. T. Harker (Eds.), Analytic hierarchy process: Applications and studies (pp. 68-81). Springer Verlag.
Hair, J., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Educational International.
Iamratanakul, S., Patanakul, P., & Milosevic, D. (2008). Project portfolio selection: From past to present. In *4th IEEE International Conference on Management of Innovation and Technology (pp. 287-292).
Lei, M., & Lomax, R. G. (2005). The effect of varying degrees of nonnormality in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 12(1), 1–27.
Marcelo, D., Mandri-Perrott, C., House, S., & Schwartz, J. Z. (2016). An alternative approach to project selection: The infrastructure prioritization framework. World Bank.
Mohagheghi, V., Mousavi, S. M., & Mojtahedi, M. (2020). Project portfolio selection problems: Two decades review from 1999 to 2019. *Journal of Decision Analytics, 1(1), 1675–1689.
Mohammad Nazari, Z., & Ghannadpour, S. F. (2018). Employment of multi-criteria decision-making techniques and mathematical formulation for constructing the sustainable hospital. *International Journal of Hospital Research, 7(2), 112–127.
Mohammad Nazari, Z., Mousapour Mamoudan, M., Alipour-Vaezi, M., Aghsami, A., Jolai, F., & Yazdani, M. (2022). Prioritizing post-disaster reconstruction projects using an integrated multi-criteria decision-making approach: A case study. Buildings, 12(2), 136. https://doi.org/10.3390/buildings12020136
Pakdil, F. (2021). Six Sigma project prioritization and selection methods: A systematic literature review. International Journal of Lean Six Sigma, 13(2), 382-407.
Parchami Jalal, M., Zebardast, E., & Fasihi, H. (2018). Identifying and rating indexes and sub-indexes in urban projects portfolio management and presenting a conceptual model for defining urban projects portfolio. Journal of Fine Arts: Architecture & Urban Planning, 22(4), 57-70. https://doi.org/10.22059/jfaup.2018.65697
Parchami Jalal, M., Zebardast, E., & Fasihi, H. (2019). Application of relative value models in urban project selection and prioritization through portfolio management approach: A case study of Tehran Municipality’s Department of Planning and Architecture. *Journal of Architecture and Urban Planning, 11(21), 101-122. https://sid.ir/paper/215900/en.
Petro, Y., & Gardiner, P. (2015). An investigation of the influence of organizational design on project portfolio success, effectiveness, and business efficiency for project-based organizations. International Journal of Project Management, 33(7), 1717–1729.
Pujadas, P., Pardo-Bosch, F., Aguado-Renter, A., & Aguado, A. (2017). MIVES multi-criteria approach for evaluating, prioritizing, and selecting public investment projects: A case study in Barcelona. Land Use Policy, 64, 29-37. https://doi.org/10.1016/j.landusepol.2017.02.014
Rasa, E. (2012). Multi-criteria decision-based evaluation of municipal infrastructure projects [Master’s thesis, University of British Columbia]. Open Library. https://open.library.ubc.ca/collections/ubctheses/24/items/1.0073205
Rodrigues da Silva, R., Santos, G. D., & Setti, D. (2022). A multi-criteria approach for urban mobility project selection in medium-sized cities. Sustainable Cities and Society, 86, 104096. https://doi.org/10.1016/j.scs.2022.104096
Simplício, R., Gomes, J., & Romão, M. (2017). Projects selection and prioritization: A Portuguese Navy pilot model. Procedia Computer Science, 121, 72-79. https://doi.org/10.1016/j.procs.2017.11.011
Sözen, E., & Guven, U. (2019). The effect of online assessments on students’ attitudes towards undergraduate-level geography courses. International Education Studies, 12(1), 1-10. https://doi.org/10.5539/ies.v12n10p1
Streiner, D. L. (1994). Figuring out factors: The use and misuse of factor analysis. Canadian Journal of Psychiatry, 39(3), 135–140.
Tavakkoli-Moghaddam, R., Alipour-Vaezi, M., & Mohammad-Nazari, Z. (2020). A new application of coordination contracts for supplier selection in a cloud environment. In Proceedings of the IFIP International Conference on Advances in Production Management Systems, Nantes, France, 5–9 September 2020 (pp. 197–205).
Tuskan, Y., & Basari, E. (2023). Evaluation of sustainable slope stability with anti-slide piles using an integrated AHP-VIKOR methodology. Sustainability, 15(15), 12075.
Tuskan, Y., & Erzin, Y. (2024). Application of Monte Carlo Simulation Technique for Slopes Stabilized with Piles. Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, 24(1), 117-125.
Tuskan, Y., & Uncu, D. Y. (2024). Shear Capacity Prediction of Extremely-Loaded Box Culvert on Elastic Soil Using Artificial Neural Network. Sakarya University Journal of Science, 28(5), 1103-1114.
Ziara, M., Nigim, K., Enshassi, A., & Ayyub, B. M. (2002). Strategic Implementation of Infrastructure Priority Projects: Case Study in Palestine. Journal of Infrastructure Systems, 8(1), 2–11. doi:10.1061/(asce)
DOI: https://doi.org/10.24294/jipd9664
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Bandar Aljabri, Hani M. Aburas, Mohammed Alkahtani, Abdulmajeed Almalki, Abdullah Alharthy
License URL: https://creativecommons.org/licenses/by/4.0/
This site is licensed under a Creative Commons Attribution 4.0 International License.