Objective: This study forges an integrated methodology for gauging the economic attractiveness of such projects by distilling evidence from the fragmented logistics literature. Methods: A PRISMA-guided sweep of Scopus, Web of Science, and IEEE Xplore (2014-2025) surfaced 412 records; fifteen empirical articles cleared inclusion filters. Quantitative indicators—NPV, payback, logistics-cost ratio, route-connectivity index, and embedded carbon—were normalised, pooled with random-effects meta-analysis, then injected into a three-layer framework: Cost-Benefit Analysis, Analytic Hierarchy Process weighting, and TOPSIS ranking. A stylised tri-site case validated computational stability. Results: Meta-synthesis (n = 143 site observations) indicates transport accessibility carries the highest priority weight (0.32), followed by capital outlay (0.24) and incentive tariffs (0.17). The composite score lifts decision accuracy by 12 percentage points versus baseline CBA alone; scenario perturbations ±10% leave site order intact. Heterogeneity remains moderate (I2 = 41%), bootstrap checks affirm robustness. Conclusions: Folding classical finance with multi-criteria logic produces a lean, spreadsheet-ready tool that investors can deploy before commissioning costly field surveys. Scholars should plug ESG and resilience metrics into the scaffold to future-proof regional storage planning and track long-term project outcomes more effectively globally.
References
[1]
Antún, J. P., & Alarcón, R. (2014). Bases for Feasibility Analysis of Logistics Platforms at Borders. Procedia—Social and Behavioral Sciences, 162, 6-14. https://doi.org/10.1016/j.sbspro.2014.12.180
[2]
Benaglia, M. F., Chen, M.-H., Lu, S.-H., Tsai, K.-M., & Hung, S.-H. (2024). Improving the Picking Efficiency of a Cold Warehouse to Avoid Temperature Abuse. TheInternationalJournalofLogisticsManagement,35, 1434-1464. https://doi.org/10.1108/ijlm-01-2023-0044
[3]
Carrasco Heine, O. F., Demleitner, A., & Matuschke, J. (2023). Bifactor Approximation for Location Routing with Vehicle and Facility Capacities. EuropeanJournalofOperationalResearch,304, 429-442. https://doi.org/10.1016/j.ejor.2022.04.028
[4]
Cepolina, E. M., & Aquaro, D. (2021). RFID and Logistics: A Cost-Benefit Analysis to Design the Most Cost-Effective RFID Set-Up for an Air Cargo Handler’s Warehouse. In Proceedings of the 20th International Conference on Modeling & Applied Simulation (pp. 220-227). CAL-TEK srl. https://doi.org/10.46354/i3m.2021.mas.029
[5]
Chen, N., Liu, Q., Stevi？, ？., Andreji？, M., & Paji？, V. (2024). An Integrated Cost Based Approach for Warehouse Performance Evaluation: A New Multiphase Model. Alexandria Engineering Journal, 101, 62-77. https://doi.org/10.1016/j.aej.2024.05.063
[6]
Din？el, S. (2023). Strategy and Solution Suggestions in the Investment Process in Establishing a Logistics Center. Journal of Current Researches on Social Sciences, 13, 549-558.
[7]
Huang, Y., Wang, X., & Chen, H. (2022). Location Selection for Regional Logistics Center Based on Particle Swarm Optimization. Sustainability,14, Article No. 16409. https://doi.org/10.3390/su142416409
[8]
Jiang, J., Zhang, D., & Meng, Q. (2021). Impact Analysis of Investment Coordination Mechanisms in Regional Low-Carbon Logistics Network Design. TransportationResearchPartD:TransportandEnvironment,92, Article ID: 102735. https://doi.org/10.1016/j.trd.2021.102735
[9]
Liu, Q., Hu, W., Dong, J., Yang, K., Ren, R., & Chen, Z. (2025). Cost-Benefit Analysis of Road-Underground Co-Modality Strategies for Sustainable City Logistics. TransportationResearchPartD:TransportandEnvironment,139, Article ID: 104585. https://doi.org/10.1016/j.trd.2024.104585
[10]
Ma, Z., Zheng, X., Liang, H., & Luo, P. (2024). Logistics Center Selection and Logistics Network Construction from the Perspective of Urban Geographic Information Fusion. Sensors,24, Article No. 1878. https://doi.org/10.3390/s24061878
[11]
Muromets, N. E., Paleev, A. V., & Charaeva, M. V. (2023). Logistic Support to Ensure the Investment Attractiveness of the Regions of the Russian Federation. E3SWebofConferences,403, Article No. 07024. https://doi.org/10.1051/e3sconf/202340307024
[12]
？nden, ？., & Eldemir, F. (2022). A Multi-Criteria Spatial Approach for Determination of the Logistics Center Locations in Metropolitan Areas. ResearchinTransportationBusiness&Management,44, Article ID: 100734. https://doi.org/10.1016/j.rtbm.2021.100734
[13]
Schiffmann, O., Hicks, B., Nassehi, A., Gopsill, J., & Valero, M. (2023). A Cost-Benefit Analysis Simulation for the Digitalisation of Cold Supply Chains. Sensors,23, Article No. 4147. https://doi.org/10.3390/s23084147
[14]
Wang, G., & Chen, M. (2025). Performance Evaluation and Strategic Analysis of Logistics Development for China Railway Express: A Spatial Connectivity Perspective. Systems,13, Article No. 166. https://doi.org/10.3390/systems13030166
[15]
Ximenes Naves, A., Tulus, V., Garrido Vazquez, E., Jiménez Esteller, L., Naked Haddad, A., & Boer, D. (2019). Economic Optimization of the Energy Supply for a Logistics Center Considering Variable-Rate Energy Tariffs and Integration of Photovoltaics. AppliedSciences,9, Article No. 4711. https://doi.org/10.3390/app9214711
