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The purpose of this paper is to explore and identify the potential outer space technologies that can be used in the construction industry to enhance sustainability in buildings.

Outer space technologies developed by the National Aeronautics and Space Administration (NASA) in the USA are explored for possible use in sustainable construction within the context of the Green Mark scoring system implemented by the Building and Construction Authority (BCA) in Singapore. NASA's voltage controller and self‐illuminating materials are identified and mapped with the energy efficiency criteria of the Green Mark Scheme. The mapping exercise suggests that Green Mark points can be enhanced through appropriate adoption of these technologies.

The Green Mark points that are re‐computed can show significant enhancements when the two potential outer space technologies are to be used in the building.

National security and patent issues as well as related cost implications associated with the use of outer space technologies are not considered in the study. This may be a limitation because developers often deem costs to be an important consideration.

Appropriate outer space technologies do appear to enhance the assessment criteria in the Green Mark Scheme.

This exploratory study provides a bridge between outer space technologies and sustainable buildings. The study is original in that the bridge is the first ever attempt to further enhance the sustainability agenda, through additional Green Mark points, using potential outer space technologies developed by NASA.

This study aims to identify the key factors that influence household pro-environmental behaviors (HPEBs) and explore the differences caused by the same influencing factors between household waste management behavior (HWM) and household energy-saving behavior (HES).

A meta-analysis was conducted on 90 articles about HPEBs published between 2009 and 2023 to find the key factors. HPEBs were further categorized into HWM and HES to investigate the difference influenced by the above factors on two behaviors. The correlation coefficient was used as the unified effect size, and the random-effect model was adopted to conduct both main effect and moderating effect tests.

The results showed that attitude, subjective norms, and perceived behavioral control all positively influenced intention and HPEBs, but their effects were stronger on intention than on HPEBs. Intention was found to be the strongest predictor of HPEBs. Subjective norms were found to have a more positive effect on HES compared to HWM, while habits had a more positive effect on HWM. Furthermore, household size was negatively correlated with HWM but positively correlated with HES.

The same variables have different influences on HWM and HES. These results can help develop targeted incentives to increase the adoption of HPEBs, ultimately reducing household energy consumption and greenhouse gas emissions and contributing to the mitigation of global warming.