Carbon Lock-In Mechanisms in Transport Infrastructure and Temporal Spatial Dynamics
The persistent carbon lock-in in transport infrastructure hinders low-carbon transition and sustainable urban development. This study, situated within the context of building energy and systems environments, examines the spatial and temporal dynamics of carbon lock-in across Chinese provinces over the past decade. A composite indicator system is constructed to quantify path dependence in transport-related carbon emissions. Additionally, a quantile regression model is applied to analyze the heterogeneous effects of influencing factors across varying levels of lock-in. The findings offer insights into developing region-specific decarbonization strategies and enhancing the sustainability of infrastructure systems. The key findings are as follows: (1) temporally, the composite path dependence index (PDI) increased from 0.13 to 0.24, with an average annual growth rate of 5.7%, although the growth trend exhibited noticeable fluctuations. (2) Spatially, a clear “East-High–West-Low, South-High–North-Low” pattern is observed, with the eastern region exhibiting a PDI approximately 29% higher than that of the northeastern region—mainly due to differences in economic vitality and the degree of policy intervention. (3) Threshold nonlinearity is evident: the influence of key factors on carbon path dependence varies across quantiles, and a critical threshold appears at the 0.9 quantile. Notably, the mitigating effect of low-carbon technological innovation on path dependence weakens beyond this threshold, suggesting diminishing marginal returns and the necessity for complementary governance strategies. This study deepens the understanding of transport carbon lock-in and provides guidance for region-specific strategies to enhance energy efficiency and sustainability in integrated building infrastructure systems.
Authors
- Yong Wu (ORCID: https://orcid.org/0000-0002-3667-8716)
- Yunmin Chen (ORCID: https://orcid.org/0000-0003-3847-2284)
- Yinghui Zhang (ORCID: https://orcid.org/0009-0009-0047-9588)
- Chongsen Ma (ORCID: https://orcid.org/0000-0001-9990-2300)
- Kai Li (ORCID: https://orcid.org/0000-0001-5862-4770)
Institutions
- Central South University (CN)
- Changsha University of Science and Technology (CN)
Publication Details
- Journal
- Buildings
- Published
- 2025-05-19
- DOI
- https://doi.org/10.3390/buildings15101714
- Citations
- 3
- Primary Topic
- Transportation Planning and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 6.53
Funders
- National Natural Science Foundation of China