CO2 emission of urban passenger transportation in China from 2000 to 2014

Yuan, Rong; Tao, Xin; Yang, Xianfeng

doi:10.1016/j.accre.2019.03.005

Cited by 34 publications

(12 citation statements)

References 24 publications

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“…e transportation energy consumption in east China, central China, and west China (the detailed information of the three areas is shown in Section 3) occupied about 49% (197 million tons), 32% (127 million tons), and 19% (78 million tons) of the total energy consumption, respectively. In China, the transportation sector contributes about 18% of the total carbon emissions [9]. Hence, it is necessary to research the energy and carbon emission efficiency (ECEE) of the transportation sector in China.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

Ren

Gao

Zhang

et al. 2020

Mathematical Problems in Engineering

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In China, the transportation sector contributes about 18% of the total carbon emissions. This research contributes to measuring the energy and carbon emission efficiency (ECEE) of regional transportation systems (RTS) in China considering uncertain carbon emissions. A radial chance-constrained data envelopment analysis (DEA) model is developed to estimate the overall efficiency, and a nonradial chance-constrained DEA model is presented to evaluate the pure energy efficiency (PEE) and the pure carbon emission efficiency (PCEE). We prove that the proposed chance-constrained DEA models can effectively address the uncertain carbon emissions when measuring efficiency. We find that most of China’s RTS have low ECEE and the inefficiencies are mainly due to the lower gasoline utilization efficiency and the lower kerosene utilization efficiency. In addition, east China performs better than central China, and central China performs better than west China. In China, the unbalanced regional development of the ECEE in transportation corresponds with the unbalanced regional economic development. We provide some valuable suggestions based on the evaluation of the potential cuts in each kind of energy and the potential decreases in carbon emissions.

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Section: Introductionmentioning

confidence: 99%

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

Ren

Gao

Zhang

et al. 2020

Mathematical Problems in Engineering

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“…A reduction rate could be, also, attributed to the PI involvement in shared freight-PT versus conventional freight transportation. Following previous studies [ [155] , [156] , [157] , [158] , [159] , [160] , [161] , [162] , [163] , [164] , [165] , [166] , [167] , [168] , [169] , [170] , [171] , [172] , [173] , [174] , [175] , [176] , [177] , [178] , [179] , [180] , [181] , [182] , [183] , [184] , [185] , [186] , [187] , [188] , [189] ], the GHG emissions are significantly lowered by 10% in the PI scenarios thanks to increasing the occupancy rates by 70% to 75.5%. In addition, it is stated that a 6% CO2 reduction is possible when the key principles of the PI are applied.…”

Section: Benefits Discussionmentioning

confidence: 99%

“…The proportions of emissions from buses and taxi systems are continuously reduced to less than 20%, for example, according to an example from China [ 186 ]. If analyzed in the context of shared freight-PT based on diesel buses, the rate of reduction of polluting emissions might increase depending on the residual capacity exploited in freight transport.…”

Section: Benefits Discussionmentioning

confidence: 99%

Shared public transport within a physical internet framework: Reviews, conceptualization and expected challenges under COVID-19 pandemic

Ouadi¹,

Malhéné²,

Benhadou³

et al. 2021

IATSS Research

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Traffic congestion, dominated by private mobility, reveals not only negative impacts on road safety and the environment, but also on community cohesion. With the global COVID-19/SARS-CoV-2COVID-19 (COVID-19) epidemic, there is an urgent need for social isolation and the use of individual private transport as per the approved health guidelines. Urban transport, especially public transportation (PT), is among the primary sectors affected due to the COVID-19 pandemic. Thus, novel alternatives for competitive PT services still have to be provided to remain meeting the socio-economic and ecological PT challenges. In this respect, sharing PT vehicles carrying passengers (shared freight-PT) could exploit a significant residual capacity as absorptive capacity is actually reduced. However, such use is based on a large-scale mutualization. The idea of integrating freight in passenger transit networks could be efficient within a Physical Internet (PI or π) framework for improving system monitoring, operational performance and, user comfort. This paper explores the major trends in the theory and practice of shared transport systems, in terms of passengers and freight, and suggests a PI conceptual framework to check if we could promote such logistics. In exploring the PI approach, a number of proposals appear providing answers and advance researches towards shared freight-PT.

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“…Second, the demographic, geographical, and socioeconomic determinants of transport emissions have usually been discussed separately [27][28][29][30][31], with no comprehensive synthesis to understand their different effects on private vehicles emissions. Third, the past studies have largely ignored emission seasonality, again due to the lack of datasets with appropriate temporal resolution [32,33].…”

Section: Introductionmentioning

confidence: 99%

Spatial-temporal variation of CO₂emissions from private vehicle use in Japan

Long

Yoshida

et al. 2022

Environ. Res. Lett.

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The transport sector is a major contributor to anthropogenic climate change through the emissions of large amounts of greenhouse gases (GHGs) from fossil fuel combustion. Private vehicles account for almost half of the transport energy demand, and are thus a major target of climate change mitigation efforts. However, emissions from private vehicles can have large variability due to various geographic, demographic and socioeconomic factors. This study aims to understand how such factors affect private vehicle emissions in Japan using a nationally representative survey of household energy consumption (n=7,370) for 2017. The results indicate a large temporal and spatial variability in private vehicle emissions. Annual emissions show three peaks associated with major holiday seasons in winter and summer. Some of the more noteworthy spatial patterns are the higher emissions in prefectures characterized by low population density and mountainous terrain. Income, city size and the fuel-saving driving behavior all have a significant effect on emissions. The results indicate the need for sub-regional and socioeconomically-sensitive mitigation efforts that reflect the very different emission patterns, and the factors affecting them. The strong effect of city size, which is often much more clear-cut than between prefectures, suggests that it is more appropriate to approach transport decarbonization in Japan at the city level.

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CO2 emission of urban passenger transportation in China from 2000 to 2014

Cited by 34 publications

References 24 publications

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

Shared public transport within a physical internet framework: Reviews, conceptualization and expected challenges under COVID-19 pandemic

Spatial-temporal variation of CO₂emissions from private vehicle use in Japan

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CO2 emission of urban passenger transportation in China from 2000 to 2014

Cited by 34 publications

References 24 publications

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

Measuring the Energy and Carbon Emission Efficiency of Regional Transportation Systems in China: Chance-Constrained DEA Models

Shared public transport within a physical internet framework: Reviews, conceptualization and expected challenges under COVID-19 pandemic

Spatial-temporal variation of CO2emissions from private vehicle use in Japan

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Spatial-temporal variation of CO₂emissions from private vehicle use in Japan