Comparison of the cost-effectiveness of eliminating high-polluting old vehicles and imposing driving restrictions to reduce vehicle emissions in Beijing

Xiao, Cuicui; Miao, Chang; Guo, Peikun; Chen, Qing; Tian, Xin

doi:10.1016/j.trd.2018.10.006

Cited by 35 publications

(12 citation statements)

References 13 publications

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“… Sources: Authors’ compilation of values from literature (F. Chen, Yamashita, Kurokawa and Klimont, 2015 ; Chiesa et al., 2014 ; Fowlie et al., 2012 ; Guo et al., 2018 ; Hasanbeigi et al., 2013 ; Howard et al., 2019 ; Lai et al., 2020 ; N. N. Li et al., 2019 ; H. Liu, Meng, et al., 2018 ; Mardones and Cabello, 2019 ; McDonald-Buller et al., 2016 ; Miranda et al., 2016 ; Peng et al., 2019 ; Pinchasik et al., 2020 ; Raff and Walter, 2019 ; Relvas and Miranda, 2018 ; Rodgers et al., 2019 ; Sanderson et al., 2013 ; Shih and Tseng, 2014 ; L. Sun et al., 2012 ; Taksibi et al., 2020 ; K. Wang et al., 2020 ; L. Wang et al., 2016 ; Sheng Wang, Qing, Wang and Li, 2018 ; Shijie Wang et al., 2019 ; Xiao et al., 2019 ; Xu et al., 2021 ; Zhou et al., 2019 ) . Note: CO = carbon monoxide; NOx = oxides of nitrogen; PM = particulate matter; SO 2 = sulfur dioxide; VOCs = volatile organic compounds; HC = hydrocarbons.…”

Section: Resultsmentioning

confidence: 99%

Effective options for addressing air quality– related environmental public health burdens in Saudi Arabia

Woollacott

Alsufyani²,

Beach

et al. 2022

Heliyon

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Section: Resultsmentioning

confidence: 99%

Effective options for addressing air quality– related environmental public health burdens in Saudi Arabia

Woollacott

Alsufyani²,

Beach

et al. 2022

Heliyon

View full text Add to dashboard Cite

“…In terms of administrative measures for controlling haze, some studies have examined implementing traffic restrictions to reduce congestion and control emissions (Xiao et al 2019). While such policies can have positive shortterm effects, problems can arise in the long term, such as increased tension over parking spaces.…”

Section: Graphic Abstractmentioning

confidence: 99%

Effect of combined strategy on mitigating air pollution in China

Jia

2021

Clean Techn Environ Policy

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Air pollution has worsened as a result of increased traffic congestion in cities. Using air pollution caused by motor vehicle emissions (mainly by carbon monoxide, hydrocarbon, nitrogen oxide, and particulate matter) as an example, in this study, we applied an integrated algorithm comprising system dynamics, entropy weight method, and gray system theory to establish a weighted logic function. A vehicle pollutant control model (including the transport, health, and environmental subsystems) was established by VENSIM software. The medium-and long-term key variable analysis showed that the integrated algorithm, fully reflecting the advantages of system dynamics and gray system theory, more accurately described air pollution caused by vehicle emissions. Our research results also revealed that the combined strategy of penalties and air pollution charging fee had a threefold effect: reduced congestion and emissions, improved health impact index, and reduced number of illegal trips. Specifically, the degree of traffic congestion, number of illegal trips, and the degree of air pollution decreased by approximately 82.40%, 69.35%, and 68.91%, respectively, whereas the health impact index increased by about 279.03%. This finding provides guidance for improving policy and optimizing management and control modes.

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“…As China's urbanization levels continue to rise, traffic congestion and its induced air pollution are becoming increasingly serious (Wu et al 2017;Hubbell et al 2018). Although government departments have adopted various policies to alleviate traffic congestion (e.g., traffic-restriction policy, different working hour measures), the effects have been very limited (Xiao et al 2019;Liu et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Can driving-restriction policies alleviate traffic congestion? A case study in Beijing, China

Jia

Fang

2022

Clean Techn Environ Policy

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With ongoing urbanization, traffic congestion and the air pollution it induces are worsening. Using a system dynamics approach, this study constructed a driving-restriction policy model to explore the effects of different stages of policy implementation on variables such as traffic congestion, emissions, and parking demand. Medium-and long-term dynamic simulation showed that the effect of the policy was obvious in the initial stage but gradually weakened in the medium term, leading to a "fading" effect on emission reduction and traffic-congestion alleviation; a "rebound" effect was even observed at the end of the simulation. Thus, the policy will not effectively reduce traffic congestion in the long term and will induce a new demand for car purchases, resulting in paradoxical effects, which will aggravate parking demand, congestion, and pollution. Yet, it was also found that introducing penalty policies and an air pollution charging fee could weaken the paradoxical effects and compensate for some defects of the policy. Such strategies could help reduce emissions, traffic congestion, parking demand, the number of illegal trips, and the overall number of vehicle trips. These findings can provide not only a theoretical basis for further research but also practical guidance for policy improvement.

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Comparison of the cost-effectiveness of eliminating high-polluting old vehicles and imposing driving restrictions to reduce vehicle emissions in Beijing

Cited by 35 publications

References 13 publications

Effective options for addressing air quality– related environmental public health burdens in Saudi Arabia

Effective options for addressing air quality– related environmental public health burdens in Saudi Arabia

Effect of combined strategy on mitigating air pollution in China

Can driving-restriction policies alleviate traffic congestion? A case study in Beijing, China

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