Estimation of Performance Indices for the Planning of Sustainable Transportation Systems
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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2013/601468 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832566838583623680 |
|---|---|
| author | Alexander Paz Pankaj Maheshwari Pushkin Kachroo Sajjad Ahmad |
| author_facet | Alexander Paz Pankaj Maheshwari Pushkin Kachroo Sajjad Ahmad |
| author_sort | Alexander Paz |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8cd906cd03634bbfa1c8586e5b5a6ed0 |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-8cd906cd03634bbfa1c8586e5b5a6ed02025-02-03T01:03:03ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2013-01-01201310.1155/2013/601468601468Estimation of Performance Indices for the Planning of Sustainable Transportation SystemsAlexander Paz0Pankaj Maheshwari1Pushkin Kachroo2Sajjad Ahmad3Department of Civil and Environmental Engineering, University of Nevada, Las Vegas, NV 89154-4015, USADepartment of Civil and Environmental Engineering, University of Nevada, Las Vegas, NV 89154-4015, USATransportation Research Center, Harry Reid Center for Environmental Studies, University of Nevada, Las Vegas, NV 89154-4007, USADepartment of Civil and Environmental Engineering, University of Nevada, Las Vegas, NV 89154-4015, USAIn 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.http://dx.doi.org/10.1155/2013/601468 |
| spellingShingle | Alexander Paz Pankaj Maheshwari Pushkin Kachroo Sajjad Ahmad Estimation of Performance Indices for the Planning of Sustainable Transportation Systems Advances in Fuzzy Systems |
| title | Estimation of Performance Indices for the Planning of Sustainable Transportation Systems |
| title_full | Estimation of Performance Indices for the Planning of Sustainable Transportation Systems |
| title_fullStr | Estimation of Performance Indices for the Planning of Sustainable Transportation Systems |
| title_full_unstemmed | Estimation of Performance Indices for the Planning of Sustainable Transportation Systems |
| title_short | Estimation of Performance Indices for the Planning of Sustainable Transportation Systems |
| title_sort | estimation of performance indices for the planning of sustainable transportation systems |
| url | http://dx.doi.org/10.1155/2013/601468 |
| work_keys_str_mv | AT alexanderpaz estimationofperformanceindicesfortheplanningofsustainabletransportationsystems AT pankajmaheshwari estimationofperformanceindicesfortheplanningofsustainabletransportationsystems AT pushkinkachroo estimationofperformanceindicesfortheplanningofsustainabletransportationsystems AT sajjadahmad estimationofperformanceindicesfortheplanningofsustainabletransportationsystems |