Abstract
A recent application of the spatial transferability approach is to assess the potential impacts of the emerging connected automated mobility technology on people’s travel behavior at the national level. While there are a few transportation simulation frameworks which can account for potential impacts of this technology in a simulated geographical context, there is yet to be any literature documenting disaggregated estimates of large-scale impacts of connected automated vehicles (CAVs) on travel behavior at the national level. Therefore, in order to provide a platform to assess national-level impacts of CAVs, this study develops a methodological framework based on transferability techniques, which uses data and models from a smaller geographical area—the POLARIS simulation results for the CAVs scenario in the Chicago metropolitan area—to generate disaggregate travel data at the national level. Comparison of the distributions of the transferred variables at the regional and the national contexts indicates that the platform is capable of transferring travel behavior indices to the national level with high level of accuracy.
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Acknowledgments
The authors gratefully acknowledge the sponsorship of the Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Laboratory Consortium, an initiative of the Energy Efficient Mobility Systems (EEMS) Program, managed by David Anderson of the Vehicle Technologies Office of the U.S. Department of Energy. This study was conducted under Contract No. DE-AC02-06CH11357 to Argonne National Laboratory, a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC. The authors are solely responsible for the findings of this research which do not necessarily represent the views of the U.S. Department of Energy or the United States Government.
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Shabanpour, R., Golshani, N., Stephens, T.S., Auld, J., Mohammadian, A. (2019). Developing a Spatial Transferability Platform to Analyze National-Level Impacts of Connected Automated Vehicles. In: Briassoulis, H., Kavroudakis, D., Soulakellis, N. (eds) The Practice of Spatial Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-89806-3_12
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