A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles
Name
EPB_2020_Preprint.pdf
Size
5.66 MB
Format
Adobe PDF
Checksum (MD5)
9c23d9d7312be9c027c31a8c99d12c36
Author(s)
Basu, Rounaq
Ferreira Jr, Joseph
Date Issued
May 2020
Journal
Environment and Planning B: Urban Analytics and City Science
Publisher
SAGE Publications
Citation
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
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1177/2399808320925278
