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The main objective of the study is to present a systematic process that can assess, compare and benchmark different geographical levels environmental impacts of using sustainable materials at construction stage.

Current study presents a methodological framework to evaluate environmental impacts at the construction stage of using sustainable materials through a cradle-to-gate process based quantitative LCA study. Scenario analyses and an optimisation analysis using Monte-Carlo simulation are conducted to investigate the influence of external factors on environmental impacts at different geographical regions.

Materials account for 98% of greenhouse gas (GHG) emissions. Carbon monoxide (CO) and non-methane volatile organic compounds (NMVOC) record significant non-GHG emissions. Particulate matter (PM₁₀) emissions are significant from transportation and equipment. High significance of global warming potential (GWP) (38.98%) and photochemical oxidation formation potential (POFP) (34.49%) at global level and eutrophication potential (EP) (52.83%) and human toxicity potential (HTP) (25.30%) impacts at local level were observed. Shortest transportation distance reduces 14.91% PM₁₀ and 4.69% nitrous oxide (NO_x) emissions. Inventory variations have major influence on POFP impact at global level. Local level impacts are not significantly affected by inventory variations. Optimisation analysis indicated, high fly ash in concrete increase local level carbon emissions, if OPC concrete transportation distance is less than 23.7 km.

Use of case-specific information for validation may lack generalisation. However, methodology can be used for future sustainable decision making over using sustainable materials in construction.

The study estimate environmental impacts at different geographical levels when sustainable materials are used for construction.

This research aims to analyse the influence of multidimensional factors on customer purchasing intentions of compressed stabilised earth blocks (CSEBs), providing relevant authorities with systematic insights to promote CSEBs.

A cross-sectional field survey with 222 respondents, preceded by a pilot survey with 30 respondents, was conducted in the Eastern and Northern provinces of Sri Lanka. Descriptive statistics, correlation analysis and multiple linear regression were used to analyse the significance of personal, social, psychological and cultural factors on customer purchase intentions of CSEBs.

Beyond the direct influence of product pricing, factors of lifestyle, social norms/values, perception and social differences significantly shape customer purchasing intentions within the personal, social, psychological and cultural dimensions, respectively. Correlation and multiple linear regression analyses further indicated that personal, social and psychological dimensions substantially influence customer purchasing intentions of CSEBs, while the cultural dimension had negligible influence.

By identifying key factors shaping customer purchasing intentions, this research lays the groundwork for initiatives aimed at promoting CSEBs. These insights can also inform marketing strategies, educational/awareness programmes and regulatory measures to promote CSEBs effectively.

This research addresses a critical gap in behavioural research on sustainable building materials, focusing on the influence of personal, social, psychological and cultural factors on the customer purchasing intentions of CSEBs. The findings enrich the existing knowledge base and offer novel insights for evidence-based decision-making to promote CSEBs and future behavioural research.