The Frontiers of Society, Science and Technology, 2023, 5(11); doi: 10.25236/FSST.2023.051120.
Yueming Peng1, Wentao Qiao2, Yang Yang3, Xuechun Wang4, Xiangyu Ji5
1Hebei Construction Research & Energy-Saving Equipment Co., Ltd, Shijiazhuang, China
2School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, China
3School of Transportation Science and Engineering, Beihang University, Beijing, China
4School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
5China Academy of Railway Sciences Co., Ltd, Beijing, China
With the aim of effectively promoting the development of carbon trading markets and sustainable urban development, a reasonable quantification of the energy savings and emissions reduction effects of urban rail transit is of great practical importance. In this paper, we establish the carbon emissions model of urban rail transit baselines and project activities, which are based on life-cycle assessment theory (LCA) and account for differences in passenger travel mode choices before and after the construction of urban rail transit. In this model, urban rail transit data collection was accomplished in the baselines, project construction, and project activities. Metrics for each model component were calibrated against the data. The results of the metrics derived in this paper will be of use in the calculation of carbon emission models for urban rail transit systems.
Urban rail transit, Carbon emission, LCA, Measurement Index System
Yueming Peng, Wentao Qiao, Yang Yang, Xuechun Wang, Xiangyu Ji. Study on Measurement Index System of Carbon Emission Reduction Effect for Urban Rail Transit Based on LCA. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 11: 130-134. https://doi.org/10.25236/FSST.2023.051120.
[1] Gao Q L, Li Q Q, Zhuang Y, et al. (2019) Urban commuting dynamics in response to public transit upgrades. A big data approach. PLOS ONE, 14.
[2] Han X Y, Xu Y Q, Kumar A, et al. (2018) Decoupling analysis of transportation carbon emissions and economic growth in China. Environmental Progress & Sustainable Energy, 37(5): 1-9.
[3] Wallace H W, Jobson M H, et al. (2012) Comparison of wintertime CO to NO x ratios to MOVES and MOBILE6.2 on-road emissions inventories. Atmospheric Environment, 63.
[4] National Bureau of Statistics. (2020) A set of statistical survey system for highway and waterway transportation enterprises [EB/OL].
[5] Yang Y, Yuan Z, Chen J, et al. (2017) Assessment of osculating value method based on entropy weight to transportation energy conservation and emission reduction. Environmental Engineering & Management Journal. 16(10): 2413-2424.
[6] Yang Y, Yuan Z Z, Chen J J, et al. (2021) The Energy Consumption Conservation and Carbon Emission Reduction Evaluation for High-speed Railway based on LCA. Journal of Transportation Engineering. 21(04): 89-96.