Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation
Urban freight transport is primarily fulfilled by commercial road vehicles. Within cities, overnight parking is a critical element influencing commercial vehicle operations, particularly for heavy vehicles with limited parking options. Providing adequate overnight parking spaces for commercial vehic...
| Main Authors: | , , , , , |
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | https://hdl.handle.net/1721.1/125075 |
| _version_ | 1826201985130430464 |
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| author | Gopalakrishnan, Raja Alho, André Romano Sakai, Takanori Hara, Yusuke Cheah, Lynette Ben-Akiva, Moshe E. |
| author2 | Singapore-MIT Alliance in Research and Technology (SMART) |
| author_facet | Singapore-MIT Alliance in Research and Technology (SMART) Gopalakrishnan, Raja Alho, André Romano Sakai, Takanori Hara, Yusuke Cheah, Lynette Ben-Akiva, Moshe E. |
| author_sort | Gopalakrishnan, Raja |
| collection | MIT |
| description | Urban freight transport is primarily fulfilled by commercial road vehicles. Within cities, overnight parking is a critical element influencing commercial vehicle operations, particularly for heavy vehicles with limited parking options. Providing adequate overnight parking spaces for commercial vehicles tends to be a challenge for urban planners. Inadequate parking supply can result in illegal parking and additional vehicle kilometers traveled, contributing to traffic congestion and air pollution. The lack of tools for evaluating the impacts of changing parking supply is an impediment in developing parking-related solutions that aim to minimize the negative externalities. In this study, we develop an overnight parking choice model for heavy commercial vehicles and integrate it with SimMobility, an agent-based urban simulation platform, demonstrating the potential of this tool for policy evaluation. Using simulations applied to a case study in Singapore, we compare two parking supply scenarios in terms of vehicle kilometers traveled due to changes in the first and last trips of vehicle tours, as well as resulting impacts in traffic flows. ©2020 Keywords: urban freight; freight parking; city logistics; parking choice; SimMobility |
| first_indexed | 2024-09-23T12:00:05Z |
| format | Article |
| id | mit-1721.1/125075 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T12:00:05Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1250752022-09-27T23:24:26Z Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation Gopalakrishnan, Raja Alho, André Romano Sakai, Takanori Hara, Yusuke Cheah, Lynette Ben-Akiva, Moshe E. Singapore-MIT Alliance in Research and Technology (SMART) Massachusetts Institute of Technology. Intelligent Transportation Systems Laboratory Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Urban freight transport is primarily fulfilled by commercial road vehicles. Within cities, overnight parking is a critical element influencing commercial vehicle operations, particularly for heavy vehicles with limited parking options. Providing adequate overnight parking spaces for commercial vehicles tends to be a challenge for urban planners. Inadequate parking supply can result in illegal parking and additional vehicle kilometers traveled, contributing to traffic congestion and air pollution. The lack of tools for evaluating the impacts of changing parking supply is an impediment in developing parking-related solutions that aim to minimize the negative externalities. In this study, we develop an overnight parking choice model for heavy commercial vehicles and integrate it with SimMobility, an agent-based urban simulation platform, demonstrating the potential of this tool for policy evaluation. Using simulations applied to a case study in Singapore, we compare two parking supply scenarios in terms of vehicle kilometers traveled due to changes in the first and last trips of vehicle tours, as well as resulting impacts in traffic flows. ©2020 Keywords: urban freight; freight parking; city logistics; parking choice; SimMobility 2020-05-06T19:18:54Z 2020-05-06T19:18:54Z 2020-03-28 2020-02 2020-04-15T13:20:42Z Article http://purl.org/eprint/type/JournalArticle 2071-1050 https://hdl.handle.net/1721.1/125075 Gopalakrishnan, Raja, et al., "Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation." Sustainability 12, 7 (Mar. 2020): no. 2673 doi 10.3390/su12072673 ©2020 Author(s) 10.3390/su12072673 Sustainability Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Gopalakrishnan, Raja Alho, André Romano Sakai, Takanori Hara, Yusuke Cheah, Lynette Ben-Akiva, Moshe E. Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation |
| title | Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation |
| title_full | Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation |
| title_fullStr | Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation |
| title_full_unstemmed | Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation |
| title_short | Assessing overnight parking infrastructure policies for commercial vehicles in cities using agent-based simulation |
| title_sort | assessing overnight parking infrastructure policies for commercial vehicles in cities using agent based simulation |
| url | https://hdl.handle.net/1721.1/125075 |
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