Performance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertainty
The study introduces a novel framework to enhance public transportation performance in uncertain situations, incorporating multi-aspiration-level goal programming and Monte Carlo simulation to manage uncertainty. The process involves creating a public transport criteria matrix using an analytic hier...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2023
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| Online Access: | http://hdl.handle.net/20.500.11937/95039 |
| _version_ | 1848765961939714048 |
|---|---|
| author | Lin, Gang |
| author_facet | Lin, Gang |
| author_sort | Lin, Gang |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The study introduces a novel framework to enhance public transportation performance in uncertain situations, incorporating multi-aspiration-level goal programming and Monte Carlo simulation to manage uncertainty. The process involves creating a public transport criteria matrix using an analytic hierarchy process and optimizing the network based on weight results. Three Australian case studies are used to validate the proposed methodology. |
| first_indexed | 2025-11-14T11:43:34Z |
| format | Thesis |
| id | curtin-20.500.11937-95039 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:43:34Z |
| publishDate | 2023 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-950392024-05-15T07:14:13Z Performance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertainty Lin, Gang The study introduces a novel framework to enhance public transportation performance in uncertain situations, incorporating multi-aspiration-level goal programming and Monte Carlo simulation to manage uncertainty. The process involves creating a public transport criteria matrix using an analytic hierarchy process and optimizing the network based on weight results. Three Australian case studies are used to validate the proposed methodology. 2023 Thesis http://hdl.handle.net/20.500.11937/95039 Curtin University fulltext |
| spellingShingle | Lin, Gang Performance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertainty |
| title | Performance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertainty |
| title_full | Performance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertainty |
| title_fullStr | Performance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertainty |
| title_full_unstemmed | Performance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertainty |
| title_short | Performance Evaluation of Public Transport Networks and Its Optimal Strategies Under Uncertainty |
| title_sort | performance evaluation of public transport networks and its optimal strategies under uncertainty |
| url | http://hdl.handle.net/20.500.11937/95039 |