Accordingly the main objective of this study is to examine the effect of resilient landscape design on users’ energy efficiency behavior, considering the mediating role of perceived resilience in Tabriz Science and Technology Park. This study is applied in terms of purpose and follows a descriptive–correlational research design based on structural equation modeling. Data were collected using a questionnaire and analyzed through the Partial Least Squares (PLS) approach. To evaluate the reliability and validity of the measurement instrument, Cronbach’s alpha, composite reliability, and average variance extracted (AVE) were employed, and the relationships among variables were examined through the structural model. The findings indicate that resilient landscape design has a positive and significant effect on users’ perceived resilience (β 0.64, t 11.45). Perceived resilience also has a significant positive effect on energy efficiency behavior (β 0.48, t 8.23). In addition, resilient landscape design directly influences energy efficiency behavior (β 0.35, t 5.72). Furthermore, the indirect effect of resilient landscape design on energy efficiency behavior through perceived resilience is 0.31, while the total effect is 0.66, indicating the mediating role of perceived resilience in this relationship. Overall, the results demonstrate that resilient landscape design can function as an effective tool for enhancing users’ environmental perceptions and promoting energy efficient behaviors in science and technology parks. Paying greater attention to environmental design quality alongside technological solutions can therefore contribute to the sustainable development of such innovation environments.