Document Type
Article
Publication Date
2013
Publication Title
Advances in Fuzzy Systems
Volume
2013
First page number:
1
Last page number:
13
Abstract
In the context of sustainable transportation systems, previous studies have either focused only on the transportation system or have not used a methodology that enables the treatment of incomplete, vague, and qualitative information associated with the available data. This study proposes a system of systems (SOS) and a fuzzy logic modeling approach. The SOS includes the Transportation, Activity, and Environment systems. The fuzzy logic modeling approach enables the treatment of the vagueness associated with some of the relevant data. Performance Indices (PIs) are computed for each system using a number of performance measures. The PIs illustrate the aggregated performance of each system as well as the interactions among them. The proposed methodology also enables the estimation of a Composite Sustainability Index to summarize the aggregated performance of the overall SOS. Existing data was used to analyze sustainability in the entire United States. The results showed that the Transportation and Activity systems follow a positive trend, with similar periods of growth and contractions; in contrast, the environmental system follows a reverse pattern. The results are intuitive and are associated with a series of historic events, such as depressions in the economy as well as policy changes and regulations.
Keywords
Fuzzy logic; Sustainable development; Sustainability; Transportation
Disciplines
Civil and Environmental Engineering | Civil Engineering | Electrical and Computer Engineering | Environmental Engineering | Environmental Policy | Environmental Sciences | Physical Sciences and Mathematics | Sustainability | Transportation
Language
English
Permissions
Copyright Hindawi Publishing. Used with permission.
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Repository Citation
Paz, A.,
Maheshwari, P.,
Kachroo, P.,
Ahmad, S.
(2013).
Estimation of Performance Indices for the Planning of Sustainable Transportation Systems.
Advances in Fuzzy Systems, 2013
1-13.
http://dx.doi.org/10.1155/2013/601469
Included in
Civil Engineering Commons, Electrical and Computer Engineering Commons, Environmental Engineering Commons, Environmental Policy Commons, Sustainability Commons, Transportation Commons