Local Resilience in Climate Adaptation Pilots: Lifecycle Assessment of Applied Science Partnerships

Authors

  • Benjamin Hung Department of Biology, Faculty of Science, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, China Author

Keywords:

Local Resilience, Lifecycle Assessment, Climate Adaptation, Applied Science Partnerships, Applied Engineering

Abstract

The escalating frequency and severity of climate-induced disruptions necessitate robust local resilience strategies. This paper investigates the efficacy of applied science partnerships in enhancing municipal climate adaptation pilots, utilizing Lifecycle Assessment as the primary evaluative framework. Local adaptation initiatives often suffer from a disconnect between academic research and practical implementation. By fostering collaborative models where scientific institutions and local governments co-design pilot projects, communities can theoretically optimize resource allocation and environmental outcomes. This study systematically analyzes empirical evidence from multiple adaptation pilots, applying comprehensive lifecycle metrics to gauge both short-term infrastructural sustainability and long-term socio-ecological resilience. The methodology integrates quantitative environmental impact data with qualitative evaluations of partnership dynamics, revealing that applied science collaborations significantly reduce the carbon footprint of adaptation infrastructure while simultaneously building institutional capacity. Furthermore, the Lifecycle Assessment approach exposes previously hidden ecological tradeoffs in traditional flood management and heat mitigation strategies. The findings suggest that embedding lifecycle thinking into localized applied science partnerships not only bridges the science-policy divide but also accelerates the transition from experimental pilots to scalable, resilient urban frameworks. This research provides a critical foundation for policymakers and academic institutions aiming to collaboratively navigate the complexities of localized climate resilience.

References

1. Sales, J.R.; Ellis, T.J.; Gillard, J.; Liu, Q.; Chen, J.C.; Ham, B.; Mayberry, J.C. Biomechanical Testing of a Novel, Minimally Invasive Rib Fracture Plating System. J. Trauma 2008, 64, 1270–1274.

2. EN 1992-1-1:2015; Eurocode 2: Design of Concrete Structures—Part 1-1: General Rules and Rules for Buildings, Bridges and Civil Engineering Structures. European Committee for Standardization (CEN): Brussels, Belgium, 2015.

3. Yang, Z.; Wang, K.; Fu, P.; Peng, L.; Hu, B.; Liu, M.; Sachdev, A.K. Influence of Alloying Elements on Hot Tearing Susceptibility of Mg-Zn Alloys Based on Thermodynamic Calculation and Experimental. J. Magnes. Alloys 2018, 6, 44–51.

4. Vispoel, W. P., Hong, H., Lee, H., & Jorgensen, T. D. (2023). Analyzing complete generalizability theory designs using structural equation models. Applied Measurement in Education, 36(4), 372–393.

5. Goodwin, L. D. (2001). Interrater agreement and reliability. Measurement in Physical Education and Exercise Science, 5(1), 13–34.

6. Vispoel, W. P., Lee, H., Xu, G., & Hong, H. (2022). Expanding bifactor models of psychological traits to account for multiple sources of measurement error. Psychological Assessment, 32(12), 1093–1111.

7. Vořechovský, M.; Novák, D. Stochastic Fracture Mechanics and Size Effect: A Dissertation Submitted in Partial Fulfilment of Doctor of Philosophy in Theory of Structures; Brno University of Technology, Faculty of Civil Engineering, Institute of Structural Mechanics: Brno, Czechia, 2004.

8. Novák, D.; Rusina, R.; Vořechovský, M. FREeT: Feasible Reliability Engineering Tool, Version 1.7 2024; Červenka Consulting: Prague, Czechia, 2024. Available online: http://www.freet.cz (accessed on 25 March 2026).

9. De La Santa Barajas, P.M.; Polo Otero, M.D.; Sánchez-Gracián, C.D.; Gómez, M.L.; Novella, A.T.; Del Prado, J.C.M.; Ruiloba, S.L.; Choren Durán, M.L. Surgical Fixation of Rib Fractures with Clips and Titanium Bars (STRATOS System). Preliminary Experience. Cir. Esp. (Engl. Ed.) 2010, 88, 180–186.

10. Mohd Salaha, Z.F.; Abdullah, N.N.A.A.; Chan, K.F.; Gan, H.-S.; Mohd Yusop, M.Z.; Ramlee, M.H. Biodegradable Orthopaedic Implants: A Systematic Review of in vitro and in vivo Evaluations of Magnesium, Iron, and Zinc Alloys. Results Eng. 2025, 27, 105746.

11. Song, J.; Yan, T.; Wang, T.; Ma, S.; Wang, K.; Wang, J.; He, W.; Bai, J.; Jin, L. Internal Fixation of Claw-Type Rib Bone Plates on Multiple Fractured Ribs. Int. J. Clin. Exp. Med. 2017, 10, 6934–6941.

12. Choi, J., & Wilson, M. R. (2018). Modeling rater effects using a combination of generalizability theory and IRT. Psychological Test and Assessment Modeling, 60(1), 53–80.

13. Finch, W. H., & French, B. F. (2018). A Simulation investigation of the performance of invariance assessment using equivalence testing procedures. Structural Equation Modeling, 25(5), 673–686.

14. Strauss, A.; Frangopol, D.M.; Bergmeister, K. Assessment of existing structures based on identification. J. Struct. Eng. 2010, 136, 86–97.

15. Kindermann, H. (2023). The reliability of parametric methods in the case of rating scales: A simulation study. Applied Research, 3(3), e202300054.

16. Liu, Z., Rattan, A., & Savani, K. (2023). Reducing gender bias in the evaluation and selection of future leaders: The role of decision-makers’ mindsets about the universality of leadership potential. Journal of Applied Psychology, 108(12), 1924.

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Published

2026-01-30

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