scholarly journals The Impact of the Freight Transport Modal Shift Policy on China’s Carbon Emissions Reduction

2020 ◽  
Vol 12 (2) ◽  
pp. 583 ◽  
Author(s):  
Shuling Chen ◽  
Jianhong Wu ◽  
Yueqi Zong

How to reduce the negative transport externalities, especially its carbon emissions, without having significant negative influence on economic and social development is the key for sustainable development in China. This paper explores the impacts of China’s recent modal shift policy on carbon emissions, summaries experience from China, and points out future development directions. The paper first compares the different energy consumption and carbon emissions between the road freight transport and the railways in China, and then has a scenarios analysis on China’s energy consumption and carbon emissions of the transport sector in 2025. The latest progress and major problems of modal shift policy in China are presented, and a methodology to address this problem is also proposed. Based on the methodology, we compare the benefits and costs brought by modal shift policy in the case of Ordos, Inner Mongolia. Based on the results, principles and suggestions on how to design and implement more efficient modal shift policy are proposed. We find that road transport is the most polluting mode among various modes of transport, and the railway transport has the least carbon emissions. Furthermore, the modal shift policy plays a positive role in carbon emissions, but the costs caused by the policy are higher than the benefits at some circumstances. Moreover, to achieve the sustainable modal shift policy by relying on the feasible market mechanism, together with scientific and effective regulation, instead of “one size for all” administrative policy, are likely the way forward.

2021 ◽  
Vol 7 (1) ◽  
pp. 285-292
Author(s):  
Viktoriia Harkava ◽  
Olena Pylypenko ◽  
Oleksandr Haisha ◽  
Armen Aramyan ◽  
Volodymyr Kairov

The purpose of the research is as follows: analysis of the current state of functioning of the road transport sector in Eastern Europe and identification of key problems and trends in its development. Research methods: Methods of grouping, comparison and generalization, сorrelation analysis have been used to identify the dynamics of the main indicators of road transport in Eastern Europe. The method of correlation-regression analysis has been applied to determine the impact of increasing the length of roads on the turnover of the road freight transport and the number of employed population in this area. Results. It has been found that the increase in the employed population by 96% and increase in revenues from transportation and storage of goods, postal and courier services (turnover of the road freight transport - in the original language) in the field of road transport by 82% is explained by the change in transport infrastructure capacity by increasing length of highways.    


Author(s):  
Urszula Motowidlak

With quantitative and qualitative data, and knowing, at a glance, goal, it was an attempt to examine the relationship between the development of road transport and the efficiency of resource use. The analysis has shown that road transport now gained a special status in people’s daily lives. The increased mobility of European citizens caused the greatest responsibility for the transport of energy. This spite of improving the efficiency of these cars and freight transport growth. The projected continued growth of freight transport will contribute to the further changes in the structure of energy consumption by road transport. Despite the high growth rate of energy efficiency improvement of truck drives, the share of demand for fuel by those vehicles will increase in total fuel demand for road transport sector. At the same time the energy consumption of cars will reduce its share in total fuel needs transport. Improvmrnt of energy efficiency of passenger and truck will not offset the increase in demand for energy in road transport. The above regularities define a key challenge facing the transport system – meeting the ever growing demand for energy.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.


Author(s):  
Sebastjan Škerlič ◽  
Vanja Erčulj

The goal of the research is to determine how compensation affects the safety behavior of truck drivers and consequently the frequency of traffic accidents. For this purpose, a survey was conducted on a sample of 220 truck drivers in international road transport in the EU, where the results of the Structural Equation Model (SEM) show that in the current state of the transport sector, financial and non-financial incentives have a positive impact on the work and safety behavior of drivers. Financial incentives also have an impact on drivers’ increased perception of their driving ability, while moving violations continue to have a major impact on the number of accidents. The proposed improvements enable decision-makers at the highest level to adopt legal solutions to help manage the issues that have been affecting the industry from a work, social and safety point of view for the past several years. The results of the research therefore represent an important guideline for improvements to the legislature as well as in the systematization of truck driver compensation within companies.


Author(s):  
Dmitriy Ya. Rozhko

In urban areas, the transport sector is one of the main sources of significant energy consumption and carbon emissions. Although diesel and gasoline are still the main sources of energy used in urban transport, more and more attention is now being paid to alternative and transitional sources of energy, as they are renewable and have less negative impact on the environment. However, the successful use of alternative energy sources can be hindered by various technical, economic and political factors. This article discusses the latest literature on alternative and transitional energy sources in order to understand the possibility of their use in urban transport at present, as well as the possibility of introducing these sources in the future


2018 ◽  
Vol 7 (4.35) ◽  
pp. 823 ◽  
Author(s):  
Mustapa S.I ◽  
Bekhet H.A

The rapid urbanisation and economic growth has led to unprecedented increase in CO2 emissions, which led to a vital global issue due partly to the rise in demand from the transport sector. In the years ahead, the transport services demand is likely to increase further, which lead to intensification in CO2 emissions as well. The transportation sector in Malaysia contributes for about 28% of total CO2 emissions, of which 85% of it goes to road transportation mode. This has led to a great interest in how the CO2 emissions in this sector can effectively be reduced. Using a multiple regression model and datasets from 1990 to 2015, this study aimed to examine factors that influence the CO2 emissions in Malaysia. Key factors of CO2 emissions, i.e., fuel consumption (FC), distance travel (DT), fuel efficiency (FE), and fuel price (FP) were investigated for the road transport sector. The findings demonstrated that the impact of factors on CO2 emissions were varies in each technology vehicles. These findings not only contributes to enhancing the current literature, but also provide insights for policy maker in Malaysia to design policy instruments for road transport sector.


2018 ◽  
Vol 10 (9) ◽  
pp. 3025 ◽  
Author(s):  
Ján Ližbetin ◽  
Martina Hlatká ◽  
Ladislav Bartuška

The paper deals with the issue of greenhouse gas emissions that are produced by the road freight transport sector. These emissions affect the structure of the ozone layer and contribute to the greenhouse effect that causes global warming-issues that are closely associated with changing weather patterns and extreme weather events. Attention is drawn to the contradictions linked to FAME (Fatty Acid Methyl Esters) biofuels, namely the fact that although their use generates almost zero greenhouse gas emissions, their production requires high levels of energy consumption. The first part of the paper deals with the theoretical basis of the negative impacts of transport on the environment and the subsequent measurement of the extent of the harmful emissions generated by the road freight transport sector. In the methodical part of the paper, the calculation procedures and declared energy consumption and greenhouse gas emissions generated by transport services are analyzed according to the EN 16258 standard. The experimental part of the paper focuses on the application of the methodology to a specific shipment on a specified transport route, where the total energy consumption and production of greenhouse gas emissions is determined. These calculations are based on comprehensive studies carried out for a particular transport company that assigned the authors the task of determining to what extent the declared energy consumption and greenhouse gas emissions change when the type of fuel used is changed.


2017 ◽  
Vol 17 (6) ◽  
pp. 4131-4145 ◽  
Author(s):  
Guannan Geng ◽  
Qiang Zhang ◽  
Randall V. Martin ◽  
Jintai Lin ◽  
Hong Huo ◽  
...  

Abstract. Spatial proxies used in bottom-up emission inventories to derive the spatial distributions of emissions are usually empirical and involve additional levels of uncertainty. Although uncertainties in current emission inventories have been discussed extensively, uncertainties resulting from improper spatial proxies have rarely been evaluated. In this work, we investigate the impact of spatial proxies on the representation of gridded emissions by comparing six gridded NOx emission datasets over China developed from the same magnitude of emissions and different spatial proxies. GEOS-Chem-modeled tropospheric NO2 vertical columns simulated from different gridded emission inventories are compared with satellite-based columns. The results show that differences between modeled and satellite-based NO2 vertical columns are sensitive to the spatial proxies used in the gridded emission inventories. The total population density is less suitable for allocating NOx emissions than nighttime light data because population density tends to allocate more emissions to rural areas. Determining the exact locations of large emission sources could significantly strengthen the correlation between modeled and observed NO2 vertical columns. Using vehicle population and an updated road network for the on-road transport sector could substantially enhance urban emissions and improve the model performance. When further applying industrial gross domestic product (IGDP) values for the industrial sector, modeled NO2 vertical columns could better capture pollution hotspots in urban areas and exhibit the best performance of the six cases compared to satellite-based NO2 vertical columns (slope  =  1.01 and R2 = 0. 85). This analysis provides a framework for information from satellite observations to inform bottom-up inventory development. In the future, more effort should be devoted to the representation of spatial proxies to improve spatial patterns in bottom-up emission inventories.


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