Estimating optimal substitution scale of urban gasoline taxis by electric taxis in the era of green energy: a case study of Zhengzhou City

Zhixiang Fanga State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaCorrespondence[email protected]

https://orcid.org/0000-0003-1651-878X View further author information

Xiaofan Wanga State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaView further author information

Ying Zhuanga State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaView further author information

Xianglong Liub Key Laboratory of Advanced Public Transportation Science, China Academy of Transportation Sciences, Beijing, ChinaView further author information

Citations (1)

Keep up to date with the latest research on this topic with citation updates for this article.

Estimating optimal substitution scale of urban gasoline taxis by electric taxis in the era of green energy: a case study of Zhengzhou City

Articles from other publishers (1)

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Estimating optimal substitution scale of urban gasoline taxis by electric taxis in the era of green energy: a case study of Zhengzhou City

Citations (1)

Articles from other publishers (1)

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date