Analysis of Low-Carbon, Energy-Saving, and Emission Reduction Models Based on Rail Transit

Analysis of Low-Carbon, Energy-Saving, and Emission Reduction Models Based on Rail Transit

Jiaqi Sun, Van Vang Le
Copyright: © 2024 |Pages: 13
DOI: 10.4018/IJISMD.355708
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Abstract

It is difficult to define scientific applicability conditions when dealing with different evaluation objects and scope. This article is based on multi-source big data such as the Automatic Fare Collection System (AFC) of urban rail transit, comprehensively considering the multidimensional impact of urban rail transit on the urban transportation system, and conducting a quantitative analysis of the energy-saving and emission reduction effects of urban rail transit. This study adopts a traffic emission model based on specific driving forces and a traffic demand prediction model, coupling the model and data to establish an urban rail transit energy conservation and emission reduction evaluation model suitable for different urban rail transit setting scenarios. Finally, this study selected six districts in Beijing as model application cases and used a combination of RP (display preference) survey and SP (state preference) survey to complete model parameter calibration for application cases.
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Literature Review

At this stage, the developers of energy-saving and emission reduction assessment models for urban rail transit with a wide range of applications at home and abroad have adopted similar modeling ideas; that is, these developers are establishing urban transportation system scenarios with or without rails, comparing rail transit and rail transit alternative transportation modes, finding the difference in emissions between the two, and then drawing the conclusion of rail transit energy saving and emission reduction (Poulsen et al., 2023). Therefore, the key to the energy-saving and emission reduction assessment model of urban rail transit lies in two points (Cobanoglu et al., 2023): One is how to determine the alternative transportation mode of rail transit, and the other is how to compare the emission differences between different modes of transportation (Aggoune-Mtalaa & Laib, 2023). Wang, P. et al.(2023) believe that the essential reason for the energy saving and emission reduction of urban rail is that the large-capacity passenger transportation tool has natural environmental advantages, effectively reducing the per capita emission intensity to achieve the purpose of energy saving and emission reduction (Hirsch et al., 2023). Therefore, early urban rail transit energy-saving and emission reduction models often draw conclusions only by comparing the emission differences of different modes of transportation (Vasiutina et al., 2023) . For example, Wang, Y. et al. (2023)compared the per capita CO2 emission factors of transportation vehicles, such as buses, subways, and private cars. The results show that the unit emission factor of a car is about three times that of a bus and four times that of an urban rail transit (Hussain et al., 2023).

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