Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897846864> ?p ?o ?g. }
- W2897846864 endingPage "1032" @default.
- W2897846864 startingPage "1023" @default.
- W2897846864 abstract "Cost-benefit analysis of emission control measures is an important part of the development and refinement of policies in the transportation sector, especially in China. In this paper, a cost-benefit analysis of the measures in place to reduce air pollutants [carbon monoxide (CO), volatile organic compounds (VOCs), nitrogen oxides (NOX), fine particulate matter (PM2.5)] and greenhouse gases (GHGs) [carbon dioxide (CO2)] in the Pearl River Delta (PRD) region by 2020 is conducted. Based on the design of five types of emission reduction scenarios and normalization of the emission reduction effect, the total costs and the cost-benefit of these reduction scenarios in the PRD region by 2020 are evaluated. Results show the scenario, which new cars bought after 2014 are all upgraded from China V emission standard to China VI emission standard and motorcycles are still China III emission standard (UES), has a significant effect with 717,690 tons of the air pollutants equivalent and 38,960 tons of the GHGs equivalent reduction, while the Eliminate Motorcycles (EM) scenario produces the worst emissions reduction result. Therefore the cost-benefit of the UES scenario is extremely high, and the unit cost of air pollutants and GHGs reductions is only 0.003 Renminbi/g (RMB/g), showing a win-win situation of emission reduction and cost savings. Although the total cost of the BPSevere scenario, giving priority to public transportation development to reduce the mobility for private cars and motorcycles, is the highest (197.47 billion RMB), it can effectively reduce 9925 tons of GHGs equivalent and bring significant climate benefits. Moreover, for any reduction scenarios, the cost-benefit cannot be improved by strengthening the control level. And the comparison of the unit reduction costs among four different sectors shows that the cost-benefits of reduction scenarios in the transportation sector are worse and more variable." @default.
- W2897846864 created "2018-10-26" @default.
- W2897846864 creator A5010776421 @default.
- W2897846864 creator A5027271308 @default.
- W2897846864 creator A5027475930 @default.
- W2897846864 creator A5041682448 @default.
- W2897846864 creator A5042895806 @default.
- W2897846864 creator A5065471655 @default.
- W2897846864 date "2019-01-01" @default.
- W2897846864 modified "2023-10-12" @default.
- W2897846864 title "Reduction measures for air pollutants and greenhouse gas in the transportation sector: A cost-benefit analysis" @default.
- W2897846864 cites W1949009805 @default.
- W2897846864 cites W1966866503 @default.
- W2897846864 cites W1967976660 @default.
- W2897846864 cites W1974935918 @default.
- W2897846864 cites W1979317543 @default.
- W2897846864 cites W1980628522 @default.
- W2897846864 cites W1990234277 @default.
- W2897846864 cites W1993600989 @default.
- W2897846864 cites W2041061560 @default.
- W2897846864 cites W2057751469 @default.
- W2897846864 cites W2064151193 @default.
- W2897846864 cites W2066393364 @default.
- W2897846864 cites W2071942861 @default.
- W2897846864 cites W2079071894 @default.
- W2897846864 cites W2081413653 @default.
- W2897846864 cites W2083046987 @default.
- W2897846864 cites W2092707197 @default.
- W2897846864 cites W2134865844 @default.
- W2897846864 cites W2138983389 @default.
- W2897846864 cites W2291252500 @default.
- W2897846864 cites W2346225718 @default.
- W2897846864 cites W2397683451 @default.
- W2897846864 cites W2464628925 @default.
- W2897846864 cites W2523277388 @default.
- W2897846864 cites W2552739025 @default.
- W2897846864 cites W2574929385 @default.
- W2897846864 cites W2588593931 @default.
- W2897846864 doi "https://doi.org/10.1016/j.jclepro.2018.10.094" @default.
- W2897846864 hasPublicationYear "2019" @default.
- W2897846864 type Work @default.
- W2897846864 sameAs 2897846864 @default.
- W2897846864 citedByCount "36" @default.
- W2897846864 countsByYear W28978468642019 @default.
- W2897846864 countsByYear W28978468642020 @default.
- W2897846864 countsByYear W28978468642021 @default.
- W2897846864 countsByYear W28978468642022 @default.
- W2897846864 countsByYear W28978468642023 @default.
- W2897846864 crossrefType "journal-article" @default.
- W2897846864 hasAuthorship W2897846864A5010776421 @default.
- W2897846864 hasAuthorship W2897846864A5027271308 @default.
- W2897846864 hasAuthorship W2897846864A5027475930 @default.
- W2897846864 hasAuthorship W2897846864A5041682448 @default.
- W2897846864 hasAuthorship W2897846864A5042895806 @default.
- W2897846864 hasAuthorship W2897846864A5065471655 @default.
- W2897846864 hasConcept C105923489 @default.
- W2897846864 hasConcept C127413603 @default.
- W2897846864 hasConcept C17744445 @default.
- W2897846864 hasConcept C178790620 @default.
- W2897846864 hasConcept C185592680 @default.
- W2897846864 hasConcept C18903297 @default.
- W2897846864 hasConcept C191935318 @default.
- W2897846864 hasConcept C199539241 @default.
- W2897846864 hasConcept C203032635 @default.
- W2897846864 hasConcept C24245907 @default.
- W2897846864 hasConcept C2776720842 @default.
- W2897846864 hasConcept C39432304 @default.
- W2897846864 hasConcept C47737302 @default.
- W2897846864 hasConcept C548081761 @default.
- W2897846864 hasConcept C559116025 @default.
- W2897846864 hasConcept C82685317 @default.
- W2897846864 hasConcept C86803240 @default.
- W2897846864 hasConcept C87717796 @default.
- W2897846864 hasConcept C9841139 @default.
- W2897846864 hasConceptScore W2897846864C105923489 @default.
- W2897846864 hasConceptScore W2897846864C127413603 @default.
- W2897846864 hasConceptScore W2897846864C17744445 @default.
- W2897846864 hasConceptScore W2897846864C178790620 @default.
- W2897846864 hasConceptScore W2897846864C185592680 @default.
- W2897846864 hasConceptScore W2897846864C18903297 @default.
- W2897846864 hasConceptScore W2897846864C191935318 @default.
- W2897846864 hasConceptScore W2897846864C199539241 @default.
- W2897846864 hasConceptScore W2897846864C203032635 @default.
- W2897846864 hasConceptScore W2897846864C24245907 @default.
- W2897846864 hasConceptScore W2897846864C2776720842 @default.
- W2897846864 hasConceptScore W2897846864C39432304 @default.
- W2897846864 hasConceptScore W2897846864C47737302 @default.
- W2897846864 hasConceptScore W2897846864C548081761 @default.
- W2897846864 hasConceptScore W2897846864C559116025 @default.
- W2897846864 hasConceptScore W2897846864C82685317 @default.
- W2897846864 hasConceptScore W2897846864C86803240 @default.
- W2897846864 hasConceptScore W2897846864C87717796 @default.
- W2897846864 hasConceptScore W2897846864C9841139 @default.
- W2897846864 hasFunder F4320321921 @default.
- W2897846864 hasFunder F4320326683 @default.
- W2897846864 hasLocation W28978468641 @default.
- W2897846864 hasOpenAccess W2897846864 @default.
- W2897846864 hasPrimaryLocation W28978468641 @default.