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Selecting Suitable, Green Port Crane Equipment for International Commercial Ports
| Content Provider | MDPI |
|---|---|
| Author | Gan, Guo-Ya Lee, Hsuan-Shih Tao, Yu-Jwo Tu, Chang-Shu |
| Copyright Year | 2021 |
| Description | Responding to the increasing global need for environmental protection, a green port balances economic vibrancy with environmental protection. However, because exhaust emissions (e.g., $CO_{2}$ or sulfide) are difficult to monitor around ports, data on such emissions are often incomplete, which hinders research on this topic. The present study aimed to fill this gap in this topic. To remedy this problem, this study formulated a new data envelopment analysis (DEA) method for collecting $CO_{2}$ emissions data at their source. This method was applied to collect real-world operating data from a large container-handling company in Taiwan. Specifically, we provide a real example using a novel green energy index to account for undesirable outputs. Our main objective was to formulate two methods that combine: (1) data envelopment analysis based on a modified slack-based measure, and (2) a multi-choice goal programming approach. The contributions of this paper included the finding that rubber-tired gantry cranes are the greenest and should be used in ports. Finally, our findings aid port managers in selecting port equipment that provides the best balance between environmental protection and profitability. |
| Starting Page | 6801 |
| e-ISSN | 20711050 |
| DOI | 10.3390/su13126801 |
| Journal | Sustainability |
| Issue Number | 12 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-06-16 |
| Access Restriction | Open |
| Subject Keyword | Sustainability Transportation Science and Technology Green Performance Sustainable Development Port Equipment Co2 Emission Data Envelopment Analysis (dea) Multichoice Goal Programming |
| Content Type | Text |
| Resource Type | Article |
