## 3 Bibliometric Analysis
### Keyword Co-Occurrence  
Recent research on urban HErC has shown multidimensional hotspots and trends. Through keyword contribution analysis in VOSviewer, a keyword co-occurrence network was generated, as shown in Figure 4. The research in this field primarily focuses on energy, socio-economic, and policy factors. \begin{table}
\begin{tabular}{c c c c c c} \hline
**No.** & **Journal** & **TP** & **TC** & **AC** & **APY** & **IF** \\ \hline
1 & Journal of cleaner production & 15 & 548 & 36.5 & 2019.9 & 9.8 \\
2 & Energy & 9 & 225 & 25.0 & 2021.1 & 9.0 \\
3 & Sustainability & 6 & 122 & 20.3 & 2018.3 & 3.3 \\
4 & Energy policy & 5 & 355 & 71.0 & 2019.2 & 9.3 \\
5 & Energy and buildings & 5 & 266 & 53.2 & 2014.4 & 6.6 \\
6 & Journal of environmental management & 5 & 108 & 21.6 & 2022.6 & 8.0 \\
7 & Applied energy & 4 & 366 & 91.5 & 2017.3 & 10.1 \\
8 & Environmental science and pollution research & 3 & 39 & 13.0 & 2020.3 & - \\
9 & Energy economics & 2 & 134 & 67.0 & 2022.5 & 13.6 \\
10 & Atmospheric pollution research & 2 & 80 & 40.0 & 2017.5 & 3.9 \\ \hline \end{tabular} Note: TP: Total publications, TC: Total citations, AC: Average citations, APY: Average publish year.  
\end{table} 
Table 1: The performance of the journals. Figure 4: Co-occurrence map of keywords. Energy factors are central to the research. High-frequency core keywords such as \"carbon emission\", \"energy consumption\" and \"energy efficiency\" indicate the critical role of household energy use in carbon emissions. Studies not only address energy consumption but also focus on the potential for carbon emission reductions through improved energy efficiency and the application of renewable energy, highlighting the importance of transitioning to low-carbon energy systems. Socio-economic factors have gained increasing attention in relation to household energy consumption and carbon emissions. Keywords like \"income\", \"inequality\" and \"lifestyle\" suggest that income levels, social inequality, and household characteristics are significant influencing variables. Policies are essential external conditions driving household carbon reductions. Keywords such as \"economic-growth\", \"urbanization\" and \"climate change\" reveal the significant role of climate action, carbon police, and sustainable development in regulating household energy use and carbon emissions. The interaction of these factors provides a multi-level analytical framework for understanding urban HErC. Research methods have become a significant focus in the literature, highlighting the widely adopted techniques and analytical frameworks in the field. Keywords such as \"empirical analysis\", \"STIRPAT model\", and \"decomposition analysis\" frequently appear, indicating their central role in the research. Empirical analysis, as a foundational method, uses statistical models and data to validate the relationship between energy consumption behaviors and carbon emission patterns, providing solid support for theoretical and policy studies. The STIRPAT model, a core tool for examining the drivers of carbon emissions, is particularly effective in analyzing the combined effects of population, economic growth, and technological advancement on carbon emissions. Decomposition analysis is commonly used to break down carbon emissions into their various sources and drivers, offering a clear quantitative basis for evaluating policy impacts and technological progress. The frequent co-occurrence of these methodological keywords in the literature underscores their key role in advancing research in this field and provides important technical references for future studies. The study also highlights several key trends and emerging directions.