Industrial-Energy ESTP Siting in a Buenos Aires Micro-Region Using Fuzzy-AHP and TOPSIS: A Decision-Support Framework

Industrial-Energy ESTP Siting in a Buenos Aires Micro-Region Using Fuzzy-AHP and TOPSIS: A Decision-Support Framework | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Industrial-Energy ESTP Siting in a Buenos Aires Micro-Region Using Fuzzy-AHP and TOPSIS: A Decision-Support Framework Federico Del Giorgio Solfa This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9370024/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Environmental Science and Technology Parks (ESTPs) can be powerful platforms for driving sustainable industrial transformation, particularly when the focus is on decarbonization and energy resilience. Yet, many ESTP initiatives fall short because site selection often relies on fragmented criteria, inconsistent comparisons across regions, and a weak handling of uncertainty in both expert judgment and environmental constraints. This chapter introduces a hybrid soft-computing framework to prioritize locations for an industrial-energy ESTP in a micro-region of Buenos Aires Province, Argentina. Six municipalities are evaluated using a mission-driven criteria system that balances industrial capacity, logistics, energy transition potential, and environmental governance. The approach combines Fuzzy-AHP for weighting criteria under uncertainty with TOPSIS for ranking alternatives, supported by scenario-based sensitivity analysis to test ranking stability. Results reveal a robust top-ranked hub across scenarios, with mid-ranked options varying according to environmental and logistics priorities. The framework offers a transparent, replicable tool for aligning sustainability policy with practical siting decisions in emerging-economy contexts. Environmental Economics Soft computing Fuzzy-AHP TOPSIS Industrial decarbonization Technology parks Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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