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Residential Location Choice in the Era of Shared Autonomous Vehicles
This study examines the potential changes in residential location choice in a scenario where shared autonomous vehicles (SAVs) are a popular mode of travel in the Atlanta metropolitan area. This hypothetical study is based on an agent-based simulation approach, which integrates residential location choice models with a SAV simulation model. The coupled model simulates future home location choices given current home location preferences and real estate development patterns. The results indicate that commuters may relocate to neighborhoods with better public schools and more amenities due to reductions in commute costs.
Results show that elder generations are more likely to live closer to the CBD to avoid wait times.
Younger generations more likely to live further from the CBD but still within a 25 mi. radius of a city's core.
Policy makers should find ways to make SAVs in the core more attractive and PAVs less desirable.
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