Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities
The growing demand for urban mobility highlights the need for relevant and sustainable solutions in cities worldwide. Thus, we develop and implement a framework to analyze the systemic impacts of future urban mobility trends and policies. We build on prior work in classifying the world's cities...
| Main Authors: | , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Elsevier BV
2021
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| Online Access: | https://hdl.handle.net/1721.1/132689 |
| _version_ | 1811069073898864640 |
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| author | Oke, Jimi B Akkinepally, Arun Prakash Chen, Siyu Xie, Yifei Aboutaleb, Youssef M Azevedo, Carlos Lima Zegras, P Christopher Ferreira, Joseph Ben-Akiva, Moshe |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Oke, Jimi B Akkinepally, Arun Prakash Chen, Siyu Xie, Yifei Aboutaleb, Youssef M Azevedo, Carlos Lima Zegras, P Christopher Ferreira, Joseph Ben-Akiva, Moshe |
| author_sort | Oke, Jimi B |
| collection | MIT |
| description | The growing demand for urban mobility highlights the need for relevant and sustainable solutions in cities worldwide. Thus, we develop and implement a framework to analyze the systemic impacts of future urban mobility trends and policies. We build on prior work in classifying the world's cities into 12 urban typologies that represent distinct land-use and behavioral characteristics by introducing a generalized approach for creating a detailed, simulatable prototype city that is representative of a given typology. We then generate and simulate two auto-dependent (largely US-specific) prototype cities via a state-of-the-art agent-based platform, SimMobility, for integrated demand microsimulation and supply mesoscopic simulation. We demonstrate the framework by analyzing the impacts of automated mobility on-demand (AMoD) implementation strategies in the cities based on demand, congestion, energy consumption and emissions outcomes. Our results show that the introduction of AMoD cannibalizes mass transit while increasing vehicle kilometers traveled (VKT) and congestion. In sprawling auto-dependent cities with low transit penetration, the congestion and energy consumption effects under best-case assumptions are similar regardless of whether AMoD competes with or complements mass transit. In dense auto-dependent cities with moderate transit modeshare, the integration of AMoD with transit yields better outcomes in terms of VKT and congestion. Such cities cannot afford to disinvest in mass transit, as this would result in unsustainable outcomes. Overall, this framework can provide insights into how AMoD can be sustainably harnessed not only in low-density and high-density auto-dependent cities, but also in other typologies. |
| first_indexed | 2024-09-23T08:05:17Z |
| format | Article |
| id | mit-1721.1/132689 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:05:17Z |
| publishDate | 2021 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1326892024-05-21T18:57:11Z Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities Oke, Jimi B Akkinepally, Arun Prakash Chen, Siyu Xie, Yifei Aboutaleb, Youssef M Azevedo, Carlos Lima Zegras, P Christopher Ferreira, Joseph Ben-Akiva, Moshe Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Department of Urban Studies and Planning The growing demand for urban mobility highlights the need for relevant and sustainable solutions in cities worldwide. Thus, we develop and implement a framework to analyze the systemic impacts of future urban mobility trends and policies. We build on prior work in classifying the world's cities into 12 urban typologies that represent distinct land-use and behavioral characteristics by introducing a generalized approach for creating a detailed, simulatable prototype city that is representative of a given typology. We then generate and simulate two auto-dependent (largely US-specific) prototype cities via a state-of-the-art agent-based platform, SimMobility, for integrated demand microsimulation and supply mesoscopic simulation. We demonstrate the framework by analyzing the impacts of automated mobility on-demand (AMoD) implementation strategies in the cities based on demand, congestion, energy consumption and emissions outcomes. Our results show that the introduction of AMoD cannibalizes mass transit while increasing vehicle kilometers traveled (VKT) and congestion. In sprawling auto-dependent cities with low transit penetration, the congestion and energy consumption effects under best-case assumptions are similar regardless of whether AMoD competes with or complements mass transit. In dense auto-dependent cities with moderate transit modeshare, the integration of AMoD with transit yields better outcomes in terms of VKT and congestion. Such cities cannot afford to disinvest in mass transit, as this would result in unsustainable outcomes. Overall, this framework can provide insights into how AMoD can be sustainably harnessed not only in low-density and high-density auto-dependent cities, but also in other typologies. 2021-10-01T19:51:57Z 2021-10-01T19:51:57Z 2020-10 2020-06 2021-10-01T16:30:05Z Article http://purl.org/eprint/type/JournalArticle 0965-8564 https://hdl.handle.net/1721.1/132689 Jimi B. Oke, Arun Prakash Akkinepally, Siyu Chen, Yifei Xie, Youssef M. Aboutaleb, Carlos Lima Azevedo, P. Christopher Zegras, Joseph Ferreira, Moshe Ben-Akiva, Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities, Transportation Research Part A: Policy and Practice, Volume 140, 2020, Pages 98-126 © 2020 Elsevier Ltd en 10.1016/J.TRA.2020.06.013 Transportation Research Part A: Policy and Practice Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Other repository |
| spellingShingle | Oke, Jimi B Akkinepally, Arun Prakash Chen, Siyu Xie, Yifei Aboutaleb, Youssef M Azevedo, Carlos Lima Zegras, P Christopher Ferreira, Joseph Ben-Akiva, Moshe Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities |
| title | Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities |
| title_full | Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities |
| title_fullStr | Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities |
| title_full_unstemmed | Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities |
| title_short | Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities |
| title_sort | evaluating the systemic effects of automated mobility on demand services via large scale agent based simulation of auto dependent prototype cities |
| url | https://hdl.handle.net/1721.1/132689 |
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