Environmental efficiency assessment of U.S. transport sector: A slack-based data envelopment analysis approach

Sustainable transportation in the U.S. is essential for long-term economic growth and mobility, and environmental preservation. Using a non-radial slack-based measurement data envelopment analysis (SBM-DEA) model and state-level data, this study assesses the environmental efficiency of the transportation sector in the U.S. from years 2004 to 2012. In addition to environmental efficiency, carbon efficiency and potential carbon reduction were estimated for the 50 U.S. states. The findings of this study reveal that U.S. transportation sector was environmentally inefficient; U.S. states had an average transportation environmental efficiency score below 0.64. Therefore the states could substantially reduce carbon emissions to improve the environmental efficiency of their transportation sectors.

• Record URL:
  https://doi.org/10.1016/j.trd.2016.09.009
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920915301139
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Park, Yong Shin
  • Lim, Siew Hoon
  • Egilmez, Gokhan
  • Szmerekovsky, Joseph
• Publication Date: 2018-6

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 152-164
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 61
  • Issue Number: Part A
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Environmental impacts; Greenhouse gases; Nonparametric analysis; Pollutants; Sustainable transportation; Transportation
• Uncontrolled Terms: Data envelopment analysis
• Geographic Terms: United States
• Subject Areas: Environment; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01671716
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 4 2018 4:53PM