A Community-Based Approach for Hub Placements
Advanced Air Mobility (AAM) is a rapidly emerging sector in the aerospace industry that seeks to revolutionize transportation by integrating highly automated aircraft into the airspace. As AAM technology matures, establishing a network framework and strategic hub locations becomes crucial for transi...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/155480 |
| _version_ | 1811080805050482688 |
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| author | Chavalithumrong, Alissa |
| author2 | Balakrishnan, Hamsa |
| author_facet | Balakrishnan, Hamsa Chavalithumrong, Alissa |
| author_sort | Chavalithumrong, Alissa |
| collection | MIT |
| description | Advanced Air Mobility (AAM) is a rapidly emerging sector in the aerospace industry that seeks to revolutionize transportation by integrating highly automated aircraft into the airspace. As AAM technology matures, establishing a network framework and strategic hub locations becomes crucial for transitioning from theoretical models to practical applications in transportation systems. This thesis investigates community-based strategies for hub placement within the AAM infrastructure. More specifically, it utilizes network segmentation to decompose a network into communities to simplify the hub selection process into more manageable sub-problems. Our first contribution is the development of a specialized community detection methodology called Directed Flow Communities (DFC), which is designed to accommodate the attributes of transportation networks. Next, we conduct a case study using the Freight Analysis Framework (FAF) dataset as a proxy for AAM demand. The empirical investigation focuses on three key sectors: pharmaceuticals, electronics, and comprehensive freight flows, each presenting distinct challenges and insights into the network’s structure. The findings show the effectiveness of the community detection-based methods in unveiling cost-efficient hub locations. |
| first_indexed | 2024-09-23T11:37:09Z |
| format | Thesis |
| id | mit-1721.1/155480 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:37:09Z |
| publishDate | 2024 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1554802024-07-09T03:38:09Z A Community-Based Approach for Hub Placements Chavalithumrong, Alissa Balakrishnan, Hamsa Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Advanced Air Mobility (AAM) is a rapidly emerging sector in the aerospace industry that seeks to revolutionize transportation by integrating highly automated aircraft into the airspace. As AAM technology matures, establishing a network framework and strategic hub locations becomes crucial for transitioning from theoretical models to practical applications in transportation systems. This thesis investigates community-based strategies for hub placement within the AAM infrastructure. More specifically, it utilizes network segmentation to decompose a network into communities to simplify the hub selection process into more manageable sub-problems. Our first contribution is the development of a specialized community detection methodology called Directed Flow Communities (DFC), which is designed to accommodate the attributes of transportation networks. Next, we conduct a case study using the Freight Analysis Framework (FAF) dataset as a proxy for AAM demand. The empirical investigation focuses on three key sectors: pharmaceuticals, electronics, and comprehensive freight flows, each presenting distinct challenges and insights into the network’s structure. The findings show the effectiveness of the community detection-based methods in unveiling cost-efficient hub locations. S.M. 2024-07-08T18:54:04Z 2024-07-08T18:54:04Z 2024-05 2024-05-28T19:37:41.484Z Thesis https://hdl.handle.net/1721.1/155480 Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Copyright retained by author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Chavalithumrong, Alissa A Community-Based Approach for Hub Placements |
| title | A Community-Based Approach for Hub Placements |
| title_full | A Community-Based Approach for Hub Placements |
| title_fullStr | A Community-Based Approach for Hub Placements |
| title_full_unstemmed | A Community-Based Approach for Hub Placements |
| title_short | A Community-Based Approach for Hub Placements |
| title_sort | community based approach for hub placements |
| url | https://hdl.handle.net/1721.1/155480 |
| work_keys_str_mv | AT chavalithumrongalissa acommunitybasedapproachforhubplacements AT chavalithumrongalissa communitybasedapproachforhubplacements |