In order to improve the adaptability of urban low-carbon transportation policies, integrated weight method with the combination of grey relational analysis and principal component analysis was used to select the indicators of low-carbon transportation policies, simulated 4 policy scenarios, and the effect of each scenario by Long-range Energy Alternatives Planning (LEAP) system was evaluated. The results indicate that public transport priority policy and new energy priority policy have the most significant influence on urban transportation carbon emission; low-carbon transportation policies can reduce carbon emission effectively, and in terms of policy effect, collaborative development of public transport and new energy is the best, and new energy priority policy is a little better than public transport priority policy; the evaluation results of carbon emission, carbon intensity and carbon reduction contribution rate have high consistence, and the method proposed in the paper is feasible and effective, which can provide objective, quantitative and practical reference for middle-long term urban low-carbon transportation policy choice.
Key words
traffic engineering /
urban low-carbon transportation /
LEAP system /
policy choice /
principal component analysis /
grey relational grade
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