Rethinking the carbon dioxide emissions of road sector: Integrating advanced vehicle technologies and construction supply chains mitigation options under decarbonization plans

Liu, Yuanyuan; Wang, Yuanqing; Lyu, Pu; Hu, Sangen; Yang, Liu; Gao, Gang

doi:10.1016/j.jclepro.2021.128769

Cited by 26 publications

(7 citation statements)

References 45 publications

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“…Further studies can extend the concept of mobile carbon sources to include mobile equipment for transportation infrastructure construction and other transportation modes, such as ships and airplanes. In this study, however, the classification of vehicles as various mobile carbon sources assisted the differentiation of the carbon emission characteristics depending on their respective mechanical structures, technical specifications, and fuel consumption (Mingolla and Lu, 2021;Wang et al, 2022;Liu et al, 2021). Emission reduction measures must be optimized based on these parameters.…”

Section: Discussionmentioning

confidence: 99%

Mapping Highway Mobile Carbon Source Emissions Using Traffic Flow Big Data: A Case Study of Guangdong Province, China

Zhang

et al. 2022

Front. Energy Res.

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The continuously growing transportation sector has become the second largest, yet increasing, industrial emissions source of CO2, posing serious challenges to global environmental security. Among the various transport modes, road transportation yields the highest cumulative level of CO2 emissions. However, these emissions have not been sufficiently investigated in previous studies, especially with respect to analyses from the perspective of vehicle emission sources. This can make source management and emissions reduction difficult. To address these methodological issues, this study aims to build a highway traffic carbon emissions monitoring and spatial analysis system, employing the mobile carbon sources concept, and establish a carbon emissions model encompassing all types of passenger and freight vehicles based on interstation O-D traffic flow data recorded by the toll collection network, to calculate vehicle carbon emissions and create a mobile carbon source emissions map. Empirical analyses in Guangdong Province revealed that, compared with conventional studies, the mobile carbon source emission mapping approach can accurately identify vehicle types with higher emissions while assisting with source management. Of the average total daily carbon emissions from all types of vehicles that use highways (15,311 t), 57.10% originated from freight vehicles (8,743 t) while passenger vehicles contributed 42.90%. By specific vehicle type, emissions mainly originated from small and medium-sized vehicles, including Class I passenger vehicles (i.e., cars) and Class I and III freight vehicles. Further, the proposed method could locate road sections characterized by high carbon emissions. High-emission sections in Guangdong Province were mainly spatially autocorrelated, with peak aggregations on national highways; near economically developed and densely populated areas; and adjacent to surrounding airports, ports, and overpass roads. This study improves the scientific and spatial analytical accuracy for carbon emissions measurements of highway vehicles, thus informing source management and sustainable development, as well as providing technical support for attaining carbon neutrality in China.

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Section: Discussionmentioning

confidence: 99%

Mapping Highway Mobile Carbon Source Emissions Using Traffic Flow Big Data: A Case Study of Guangdong Province, China

Zhang

et al. 2022

Front. Energy Res.

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“…It was claimed that the results of this research could be used to reduce the amount of undistributed energy in the network and subsequently increase subscriber satisfaction. Liu et al [19] investigated carbon emissions in construction supply chains. In this research, the asphalt supply chain in China was considered, and a scenario-based sensitivity analysis on diferent parameters with various increasing degrees of abatement levels was implemented.…”

Section: Research Backgroundmentioning

confidence: 99%

“…Te shortage level is obtained from the sum of the three levels and is calculated based on equations ( 17)- (19).…”

Section: As Followsmentioning

confidence: 99%

A New Mathematical Model for Economic Ordering with Preventive Maintenance and Reworking in a Supply Chain

Ding

Kaliyaperumal

Wang

2023

Discrete Dynamics in Nature and Society

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Cost reduction in production systems is one of the main concerns of most manufacturing industries. Achieving this goal requires the effective use of resources. Nowadays, due to the competitiveness of production and the need to reduce costs and deliver goods on time, equipment availability and prevention of unexpected stops are particularly important in industrial units. In recent years, equipment, machinery, and human resources have been the foundations of any organization. On the other hand, to increase the productivity and efficiency of providing services and achieve global standards, special attention should be paid to increase the efficiency of machinery and reducing downtime costs. This research conducted a mathematical formulation to find the best possible solution for the economic production quantity and inventory ordering by considering preventive maintenance. In this model, the success of organizations in providing services and increasing the quality depends on various reasons, such as maintenance and repair systems. In the proposed model, the defective items are considered, and the goal is to achieve an optimal amount of production in such a way that the costs of the entire system, including production cost, setup, maintenance, inspection, and rework costs, are minimized during a period per unit of time. The numerical results show that increasing the preventive maintenance periods leads to an upward trend in the total cost of the supply chain. Moreover, the sensitivity analysis shows that the longer the preventive maintenance on the machine, the higher reliability of the system as well as total costs will be achieved.

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“…Chatziioannou et al revealed the interrelationship between traffic negative externalities, which can be solved through reasonable organization of sustainable transportation and public policies [34]. Liu et al proposed a decarbonization measure combining advanced vehicle technology with the building supply chain, which can reduce the total life cycle carbon emissions of roads [35]. Wu et al believe that comprehensive emission control policies and measures can effectively reduce automobile carbon emissions [36].…”

Section: Emission Reduction Pathmentioning

confidence: 99%

Calculation of Carbon Emissions and Study of the Emission Reduction Path of Conventional Public Transportation in Harbin City

Zhang,

Zhou,

Song

et al. 2023

Sustainability

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As the northernmost megacity in China, the long winters, large population size, and unsustainable transport structure in Harbin determine that the city will produce relatively large carbon emissions. The transportation industry is one of the three greenhouse gas emission sources; therefore, the development of low-carbon transportation is imperative. This work compares commonly used carbon emission measurement methods and chooses a mileage method to classify the carbon emissions of conventional buses of different energy types used in Harbin in 2020. A multi-factor grey prediction model was constructed to predict the population size of Harbin and the number of conventional buses. After that, a scenario analysis method was used to analyze the fuel structure of buses in Harbin from three perspectives: a pessimistic scenario, a baseline scenario, and an optimistic scenario. The carbon emissions of conventional buses were calculated for Harbin from 2023 to 2030. Finally, by combining the prediction results and factors influencing carbon emission, a regular bus path to minimize carbon emissions is proposed. The outcome of this study shows that the carbon emission environment in Harbin will be improved by reducing vehicle energy consumption, optimizing energy structure, standardizing driving behavior, building intelligent transportation, giving priority to public transportation, and improving the road network structure.

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Rethinking the carbon dioxide emissions of road sector: Integrating advanced vehicle technologies and construction supply chains mitigation options under decarbonization plans

Cited by 26 publications

References 45 publications

Mapping Highway Mobile Carbon Source Emissions Using Traffic Flow Big Data: A Case Study of Guangdong Province, China

Mapping Highway Mobile Carbon Source Emissions Using Traffic Flow Big Data: A Case Study of Guangdong Province, China

A New Mathematical Model for Economic Ordering with Preventive Maintenance and Reworking in a Supply Chain

Calculation of Carbon Emissions and Study of the Emission Reduction Path of Conventional Public Transportation in Harbin City

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