Unveiling drivers of sustainability in Chinese transport: an approach based on principal component analysis and neural networks-Reference-Cited by-同舟云学术

Unveiling drivers of sustainability in Chinese transport: an approach based on principal component analysis and neural networks

Published:2023-04-08 Issue:5 Volume:46 Page:573-598
ISSN:0308-1060
Container-title:Transportation Planning and Technology
language:en
Short-container-title:Transportation Planning and Technology

Author:

Wanke Peter Fernandes¹,Yazdi Amir Karbassi²,Hanne Thomas³,Tan Yong⁴

Affiliation:

1. Center for Logistics Studies, COPPEAD – The Graduate School of Business Administration, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

2. School of Engineering, Universidad Católica del Norte, Coquimbo, Chile

3. Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Windisch, Switzerland

4. School of Management, University of Bradford, Bradford, West Yorkshire, UK

Publisher

Informa UK Limited

Subject

Transportation,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081060.2023.2198517

Reference61 articles.

1. Principal component analysis

2. Trading volume and volatility in the shipping forward freight market

3. Impact of R&D and innovation in Chinese road transportation sustainability performance: A novel trigonometric envelopment analysis for ideal solutions (TEA-IS)

4. Relevance of airport accessibility and airport competition

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