Exploring Technological Solutions for Reducing Carbon Emissions in Urban Infrastructure

Abstract

Urbanization has accelerated energy consumption and carbon emissions in cities, particularly from buildings, transport, and infrastructure systems.  The research design adopted was a mixed-methods design, which involves the analysis of quantitative panel data and qualitative synthesis. Two-way, fixed-effects panel regression estimated the effects of technological adoption on emissions, which were based on elasticity, with accountability to Gross Domestic Product per capita, population density, and urban nature. Spatial Durbin Models have included both direct and indirect (spillover) effects of interventions. Robustness was ensured through other measures of emission, lagged variables, and random-effects specifications, whereas Variance Inflation Factors ensured that multicollinearity was not an issue. Descriptive statistics showed that there was a significant variability in the emission levels of 4.30 to 46.80 Mt and the level of technology adoption through the Digital Infrastructure Index (0.21 to 0.89) and Smart Transport penetration (8.5 to 68.2%). Fixed-effects regression indicated significant emission reductions from Digital Infrastructure (β = −0.184, p < 0.01), Smart Transportation (β = −0.129, p < 0.01), Energy-Efficient Buildings (β = −0.156, p < 0.01), and Renewable Energy Integration (β = −0.201, p < 0.01). GDP per capita (β = 0.072, p < 0.05) and Population Density (β = 0.046, p < 0.05) increased emissions. The spatial analysis showed that there were significant indirect effects with Renewable Energy generating the highest overall effect (β = -0.273, p < 0.01). The enablers described in the qualitative synthesis include governance and inter-agency coordination. Technological interventions have a great deal to alleviate the emissions of carbon in the cities, and with good governance, there is great potential to ensure that the investments in the infrastructure of low carbon have to be made in a systematic manner.