A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles
Land use–transportation interaction models can be useful planning support systems to assess the long-term implications of emerging transportation technologies like mobility-on-demand and automated vehicles. We propose an agent-based simulation framework ( SimMobility Long-Term) that uses econometric...
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| Format: | Article |
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SAGE Publications
2020
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| Online Access: | https://hdl.handle.net/1721.1/126102 |
| _version_ | 1826201551894478848 |
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| author | Basu, Rounaq Ferreira Jr, Joseph |
| author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
| author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Basu, Rounaq Ferreira Jr, Joseph |
| author_sort | Basu, Rounaq |
| collection | MIT |
| description | Land use–transportation interaction models can be useful planning support systems to assess the long-term implications of emerging transportation technologies like mobility-on-demand and automated vehicles. We propose an agent-based simulation framework ( SimMobility Long-Term) that uses econometrically robust behavioral models to model the potential impacts of accessibility changes in “car-lite” communities on the choice of housing-mobility bundles. Residential relocation and private mobility holding decisions are jointly considered in a sequential simulation modeling approach. Different types of market responses to the car-lite pilot are modeled through various scenarios via assumptions of changes in model parameters, and compared to a baseline where the car-lite pilot is never implemented. A comparatively vehicle-free study area with a low vacancy rate is chosen to obtain conservative estimates of policy impacts. Our findings indicate that initial awareness of the pilot is quite effective in making the study area more vehicle-free relative to the baseline. However, as market effects start impacting housing prices and bidding results, the vehicle-free gains are significantly reduced due to neighborhood gentrification. In conclusion, we highlight how land use–transportation interaction models can be used to explore market dynamics to see where market pressures matter, along with the need to align car-lite policies with market conditions regarding vacancy and car ownership rates. |
| first_indexed | 2024-09-23T11:53:13Z |
| format | Article |
| id | mit-1721.1/126102 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:53:13Z |
| publishDate | 2020 |
| publisher | SAGE Publications |
| record_format | dspace |
| spelling | mit-1721.1/1261022022-10-01T06:43:21Z A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles Basu, Rounaq Ferreira Jr, Joseph Massachusetts Institute of Technology. Department of Urban Studies and Planning Land use–transportation interaction models can be useful planning support systems to assess the long-term implications of emerging transportation technologies like mobility-on-demand and automated vehicles. We propose an agent-based simulation framework ( SimMobility Long-Term) that uses econometrically robust behavioral models to model the potential impacts of accessibility changes in “car-lite” communities on the choice of housing-mobility bundles. Residential relocation and private mobility holding decisions are jointly considered in a sequential simulation modeling approach. Different types of market responses to the car-lite pilot are modeled through various scenarios via assumptions of changes in model parameters, and compared to a baseline where the car-lite pilot is never implemented. A comparatively vehicle-free study area with a low vacancy rate is chosen to obtain conservative estimates of policy impacts. Our findings indicate that initial awareness of the pilot is quite effective in making the study area more vehicle-free relative to the baseline. However, as market effects start impacting housing prices and bidding results, the vehicle-free gains are significantly reduced due to neighborhood gentrification. In conclusion, we highlight how land use–transportation interaction models can be used to explore market dynamics to see where market pressures matter, along with the need to align car-lite policies with market conditions regarding vacancy and car ownership rates. 2020-07-08T20:07:57Z 2020-07-08T20:07:57Z 2020-05 Article http://purl.org/eprint/type/JournalArticle 2399-8083 2399-8091 https://hdl.handle.net/1721.1/126102 Basu, Rounaq and Joseph Ferreira. "A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles." Environment and Planning B: Urban Analytics and City Science (May 2020) © SAGE Publications http://dx.doi.org/10.1177/2399808320925278 Environment and Planning B: Urban Analytics and City Science Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf SAGE Publications Prof. Ferreira |
| spellingShingle | Basu, Rounaq Ferreira Jr, Joseph A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles |
| title | A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles |
| title_full | A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles |
| title_fullStr | A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles |
| title_full_unstemmed | A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles |
| title_short | A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles |
| title_sort | luti microsimulation framework to evaluate long term impacts of automated mobility on the choice of housing mobility bundles |
| url | https://hdl.handle.net/1721.1/126102 |
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