Optimization path design for urban travel system based on CO2-congestion-satisfaction multi-objective synergy: Case study in Suzhou, China

Tian, Shu; Wang, Qingsong; Zhang, Yujie; Yuan, Xueliang; Ma, Qiao; Ma, Haichao; Liu, Chengqing

doi:10.1016/j.scs.2022.103863

Cited by 6 publications

(1 citation statement)

References 31 publications

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“…On the other hand, state variables represent significant stock variables, like GDP, average annual population, and carbon emissions. Ultimately, governments can simulate energy-saving and emission-reduction pathways in the transportation sector and predict pollution emission outcomes under current scenarios by combining local environmental protection and green industrial development policies, utilizing parameter setting results [168][169][170]. effectiveness of green development strategies implemented in the transportation sector [160][161][162].…”

Section: Prediction Methodologymentioning

confidence: 99%

A Review of Research on the Impact Mechanisms of Green Development in the Transportation Industry

Mao,

2023

Sustainability

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Green development in the transportation industry is a new type of development. As the huge energy consumption and carbon emissions generated by the transportation industry have caused many environmental problems, the healthy and environmentally friendly mode of industrial development has received more and more attention. However, the quantification of green development in the transportation industry varies in terms of boundaries, scope, and methods. Due to digital empowerment, the degree of influence and direction of the factors affecting the green development are not fixed. The prediction of future development prospects is relatively single-minded, lacking a comprehensive simulation scenario setting from multiple perspectives. This paper systematically reviews the research progress of green development of the transportation industry from three aspects: development performance assessment, influence mechanism analysis, and development path exploration. After a critical analysis, this study concludes that (1) a clear methodology is needed to assess the direct and indirect non-desired output results of the transportation industry; (2) considering the endogenization of the level of technology, the influence of the interaction between the influencing factors, etc., on the degree and direction of the role of the factors, a more scientific econometric model should be established for in-depth discussion; (3) resident travel options are an important factor affecting environmental issues in transportation. Carbon emission projections and analyses of emission reduction scenarios should integrate the multiple possibilities of residential preferences and policy incentives. The findings of this paper provide valuable references to the energy saving and emission reduction goals of the transportation industry, and the coordinated development of the industry and the economy.

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Section: Prediction Methodologymentioning

confidence: 99%

A Review of Research on the Impact Mechanisms of Green Development in the Transportation Industry

Mao,

2023

Sustainability

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Analysis of factors influencing carbon emissions of urban households: A case study of old urban community in northern China

Xu,

Wang,

Tian

et al. 2023

Sustainable Development

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CO2 emissions reduction of urban residents is one of the main ways to mitigate climate change. Clarifying the key factors of carbon emissions can provide a reference basis for the government to formulate carbon reduction policies. The old urban community that widely exist in most cities in northern China is taken as the research object. Based on the fuzzy interpretive structural model and structural equation model, a new method is proposed to explore the influencing factors of household carbon emissions (HCEs). It is found that behavior change attitude and low‐carbon personal cognition are the two most important factors affecting HCE. Elderly families, high‐income families, and low‐education families are the groups with higher per capita HCE. Different suggestions were proposed to promote HCE reduction for the high‐income young tenants and low‐income elderly local residents in the community. In addition, by introducing multi‐agent judgment, the coupling model proposed in this study reduces the subjectivity caused by excessive reliance on single agent judgment in previous studies. It enhances the credibility of research conclusions and provides a good methodological reference for research in similar fields.

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A multi-objective optimization model of urban passenger transportation structure under low-carbon orientation considering participating subjects

Li,

Zhan,

Pan

et al. 2023

Environ Sci Pollut Res

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Optimization path design for urban travel system based on CO2-congestion-satisfaction multi-objective synergy: Case study in Suzhou, China

Cited by 6 publications

References 31 publications

A Review of Research on the Impact Mechanisms of Green Development in the Transportation Industry

A Review of Research on the Impact Mechanisms of Green Development in the Transportation Industry

Analysis of factors influencing carbon emissions of urban households: A case study of old urban community in northern China

A multi-objective optimization model of urban passenger transportation structure under low-carbon orientation considering participating subjects

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