- 收稿日期: 2019-03-30
- 录用日期: 2019-05-15
Low Carbon Travel for the Development of Green Traffic based on Data Envelopment Analysis
- Received Date: 2019-03-30
- Accepted Date: 2019-05-15
Abstract: In order to clear the positive contribution of the low-carbon transportation to urban green traffic development in our country, the main indicators of low carbon policy to green traffic development are extracted from five aspects:the people, vehicles, roads, transportation infrastructure and transportation environment. Then the equivalent transformation model of linear programming model of C2R is used in data envelopment analysis. Take Guangzhou city as the example to collect the relevant index data from 2005 to 2012, using SPSS and DEAP as the analysis tools to deal with the input and output of low-carbon transportation statistics data. The results of contribution rate show that, with the increase of energy tension and private motor vehicles, the development of public transport enterprise has become the first thing to the urban green traffic development.