The interaction between land use and transportation in the era of shared autonomous vehicles: a simulation model
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The promising Shared Autonomous Vehicle (SAV) system will inevitably lead to changes in urban land use. Despite recent proliferating studies regarding SAVs, it remains unclear how this affordable and environmentally friendly travel mode will influence residential and commercial location choices and potentially transform urban form. This dissertation develops a discrete event based SAV simulation and implements the model using the transportation network, travel demand, and land use data from Atlanta Metropolitan area. The model is then integrated with residential and employment (re)location choice models to explore how the SAV system will affect urban parking, residential land use, as well as employment agglomeration patterns. The results suggest SAV can significantly reduce parking demand by over 90%. Additionally, the simulation results also indicate the system will not induce residential sprawl into rural areas. Finally, it appears that SAV will accelerate the existing deindustrialization process in cities. The results of this study can provide implications for devising more sustainable land use policies in the era of SAVs.