journal article Nov 01, 2022

Is it all about you or your driving? Designing IoT‐enabled risk assessments

View at Publisher Save 10.1111/poms.13816
Abstract
Technological applications disrupt the way to assess risks in the auto‐insurance business. Contrasted with the common practice based on static demographics, usage‐based insurance predicts risks using driving data collected from Internet‐of‐things–enabled telematics. This study proposes a novel solution leveraging the synergy between big data and hierarchical modeling. We specifically consider two aspects of mobility, namely,
trait
and
trajectory
, monitored by global positioning system (GPS), on‐board diagnostics, and in‐vehicle cameras in real time.
Traits
here refer to drivers’ distinctive driving behaviors (styles), whereas
trajectories
consist of the vehicle motion sequences and the contextual factors on trips. We operationalize semantic features of the two to assess risks at both trip and driver levels. Using fine‐granular driving data and crash reports, we find that behavioral traits play a significant role in predicting crashes, given individual heterogeneity and temporal dynamics. In a series of empirical validations, the proposed solution outperforms the current practice and alternative predictive models considered by prior literature. We show that the mobility‐based models are superior to the demographic‐based ones. Moreover, our model achieves the comparable performance of neural networks, improving the recall of class‐weighted logistic regression, nested support vector machine, and cost‐sensitive random forests by 44.23%, 29.18%, and 24.59%, respectively. Last, our approach is robust, data independent, and computationally efficient for skewed and small samples. This study provides several managerial implications and a blueprint for the auto‐insurance industry to operationalize IoT‐enabled risk assessments in the era of 5G communication.
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Metrics
9
Citations
71
References
Details
Published
Nov 01, 2022
Vol/Issue
31(11)
Pages
4205-4222
License
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Cite This Article
Yi‐Jen (Ian) Ho, Jingchuan Pu, Dian Zhang (2022). Is it all about you or your driving? Designing IoT‐enabled risk assessments. Production and Operations Management, 31(11), 4205-4222. https://doi.org/10.1111/poms.13816
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