Research on Multiple Attribute Decision Making of BRT System Considering Low Carbon Factors

Jia-qing Wu (), Rui Song and Li Zheng
Additional contact information
Jia-qing Wu: Beijing Jiaotong University
Rui Song: Beijing Jiaotong University
Li Zheng: Beijing Jiaotong University

Chapter Chapter 34 in LTLGB 2012, 2013, pp 217-224 from Springer

Abstract: Abstract Developing low carbon transportation is the inherent requirement of sustainable development of urban transportation, as well as an effective way to deal with the greenhouse effect. After treating the Bus Rapid Transit (BRT) system as the research object, this paper established an index system of the multiple attribute decision for BRT system by considering low carbon factors, and proposed methods of the BRT system multiple attribute decision making using the fuzzy comprehensive evaluation theory. The case study was conducted on the basis of BRT line 1, line 2 and line 3 in Beijing, which verified the effectiveness of the proposed index system and decision making methods.

Keywords: Low carbon; BRT system; Multiple attribute decision making; Evaluation index system (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-34651-4_34

Ordering information: This item can be ordered from
http://www.springer.com/9783642346514

DOI: 10.1007/978-3-642-34651-4_34

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().