Modeling and analysis of inland waterways connectivity using complex network analysis: A case study of Bangladesh
| bracu.type.group | Student Works | |
| dc.contributor.advisor | Zaber, Dr. Moinul Islam | |
| dc.contributor.advisor | Abdullah, Dr. Matin Saad | |
| dc.contributor.author | Tabassum, Firoza | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2025-05-22T07:59:31Z | |
| dc.date.available | 2025-05-22T07:59:31Z | |
| dc.date.copyright | 2024 | |
| dc.date.issued | 2024-12 | |
| dc.description | Cataloged from PDF version of internship report. | |
| dc.description | Includes bibliographical references (pages 33-35). | |
| dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2024. | en_US |
| dc.description.abstract | The Bengal Delta is considered as world’s largest delta with three largest rivers flowing across Bangladesh, namely the Ganges, Brahmaputra, and Meghna. Bangladesh has thousands of rivers and hundreds of ports. As a heavily populated, riverine developing nation, Bangladesh has historically been the hub of social and economic activity thanks to its eleven major inland ports, twenty-three coastal island ports, and hundreds of inland waterway ports. Inland waterway vehicles are the most economical and crucial mode of transportation for connecting ecosystems, making them the most economically significant for both people and goods. To provide a more comprehensive picture of the state of Bangladesh’s inland waterways, this study provides the first-ever data analysis of ports and the frequency of vessels using a special dataset. Complex network analysis has shown to be a useful tool for comprehending the inland waterways structure, enabling the identification of crucial ports, clusters, bottlenecks, and port connectivity. The paper offers valuable insights for policymaking, infrastructure development, port connectivity enhancement, identifying weak points, ensuring network resilience, and developing backup plans for inland water transportation disruptions. This opens the door for datafication and digitization, paving the way for a smart Bangladesh. | en_US |
| dc.description.degree | Master of Science in Computer Science and Engineering | |
| dc.description.statementofresponsibility | Firoza Tabassum | |
| dc.format.extent | 31 pages | |
| dc.identifier.other | ID: 18366004 | |
| dc.identifier.uri | http://hdl.handle.net/10361/25981 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Complex network analysis | en_US |
| dc.subject | Inland waterways | en_US |
| dc.subject | Models of complex networks | en_US |
| dc.subject | Vessel augmentation | en_US |
| dc.subject.lcsh | Network analysis (Planning)--Computer programs. | |
| dc.title | Modeling and analysis of inland waterways connectivity using complex network analysis: A case study of Bangladesh | en_US |
| dc.type | Thesis | en_US |