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An Optimal Allocation Model of Public Transit Mode Proportion for the Low-Carbon Transportation
Joint Authors
Wang, Chen
Lu, Linjun
Bing, Xue
Lu, Linjun
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Public transit has been widely recognized as a potential way to develop low-carbon transportation.
In this paper, an optimal allocation model of public transit mode proportion (MPMP) has been built to achieve the low-carbon public transit.
Optimal ratios of passenger traffic for rail, bus, and taxi are derived by running the model using typical data.
With different values of traffic demand, construction cost, travel time, and accessibilities, MPMP can generate corresponding optimal ratios, benefiting decision impacts analysis and decision makers.
Instead of considering public transit as a united system, it is separated into units in this paper.
And Shanghai is used to test model validity and practicality.
American Psychological Association (APA)
Lu, Linjun& Wang, Chen& Lu, Linjun& Bing, Xue. 2015. An Optimal Allocation Model of Public Transit Mode Proportion for the Low-Carbon Transportation. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073719
Modern Language Association (MLA)
Lu, Linjun…[et al.]. An Optimal Allocation Model of Public Transit Mode Proportion for the Low-Carbon Transportation. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073719
American Medical Association (AMA)
Lu, Linjun& Wang, Chen& Lu, Linjun& Bing, Xue. An Optimal Allocation Model of Public Transit Mode Proportion for the Low-Carbon Transportation. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073719
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073719