AV-Ridesourcing & Carsharing
Rapid advancements in vehicle automation and a shift towards collaborative consumption trends will disrupt future urban mobility systems. With a synergistic relationship, shared mobility-on-demand services have the potential to enhance the economic feasibility of automated vehicle (AV) system deployment, whereas, AV driving systems in turn can expand the deployment of and eliminate the immanent barriers in existing ride sourcing, ridesharing, and carsharing services.
Within the overall theme of CASE vehicle technology, this project focuses on jointly analyzing consumers’ interest in fully automated SAVs with two distinct yet related configurations: (1) AV carsharing and (2) AV ride sourcing services. Besides travel behavior and social cohesion factors, we will focus on the role of built environment mechanisms in facilitating (or impeding) the adoption of AV carsharing and AV ride sourcing services.
To this end, the project will fuse stated preference behavioral data with comprehensive and high-resolution (neighborhood-level) measures of the built environment fabric including density and diversity measures (such as residential denseness and land-use), design measures (street connectivity), and proximity to transit stops (transit accessibility).
Methodologically, a novel and comprehensive behavioral model will be specified to jointly model consumers’ affinity in AV carsharing and ride sourcing programs. To capture complex layers of systematic and random heterogeneity in a dynamic joint discrete choice framework, we will integrate heterogeneous generalized geo-additive behavioral model with a multi-spectral survival copula-based framework.
Besides direct correlations, the proposed approach will enable an understanding of how the stochastic (non-linear) dependence in users’ acceptance of the two emerging technologies vary
across sociodemographic, and more importantly, built environment fabric.
Publications:
Wali, B., Khattak, A. (2021). A Joint Behavioral Model for Adoption of Automated Vehicle Ride Sourcing and Carsharing Technologies. (Under-review).
Major Contributors:
Asad J. Khattak, Ph.D., Beaman Distinguished Professor, University of Tennessee, Knoxville.