Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Ayuso, Mercedes
Guillln, Montserrat
and
Nielsen, Jens Perch
2016.
Improving Automobile Insurance Ratemaking Using Telematics: Incorporating Mileage and Driver Behaviour Data.
SSRN Electronic Journal ,
Roel, Verbelen
and
Antonio, Katrien
2016.
Unraveling the Predictive Power of Telematics Data in Car Insurance Pricing.
SSRN Electronic Journal ,
Lemaire, Jean
Park, Sojung C.
and
Wang, Kili
2016.
Further comments on the paper “Setting a bonus–malus scale in the presence of other rating factors” by Taylor.
European Actuarial Journal,
Vol. 6,
Issue. 2,
p.
495.
Baecke, Philippe
and
Bocca, Lorenzo
2017.
The value of vehicle telematics data in insurance risk selection processes.
Decision Support Systems,
Vol. 98,
Issue. ,
p.
69.
Boucher, Jean-Philippe
Côté, Steven
and
Guillen, Montserrat
2017.
Exposure as Duration and Distance in Telematics Motor Insurance Using Generalized Additive Models.
Risks,
Vol. 5,
Issue. 4,
p.
54.
Sahebi, Sina
and
Nassiri, Habibollah
2017.
Assessing Public Acceptance of Connected Vehicle Systems in a New Scheme of Usage-Based Insurance.
Transportation Research Record: Journal of the Transportation Research Board,
Vol. 2625,
Issue. 1,
p.
62.
Sheehan, Barry
Murphy, Finbarr
Ryan, Cian
Mullins, Martin
and
Liu, Hai Yue
2017.
Semi-autonomous vehicle motor insurance: A Bayesian Network risk transfer approach.
Transportation Research Part C: Emerging Technologies,
Vol. 82,
Issue. ,
p.
124.
Jin, Wen
Deng, Yinglu
Jiang, Hai
Xie, Qianyan
Shen, Wei
and
Han, Weijian
2018.
Latent class analysis of accident risks in usage-based insurance: Evidence from Beijing.
Accident Analysis & Prevention,
Vol. 115,
Issue. ,
p.
79.
Li, Siyao
Liu, Nanhua
Zhang, Hui
and
Wu, Chaozhong
2019.
Mileage Traveled, Driving Time, and Speeding Behavior as Predictors for Hazmat Transportation Risk Assessment Using Naturalistic Driving Data.
p.
705.
Qazvini, Marjan
2019.
On the Validation of Claims with Excess Zeros in Liability Insurance: A Comparative Study.
Risks,
Vol. 7,
Issue. 3,
p.
71.
Pérez-Marín, Ana M.
and
Guillen, Montserrat
2019.
Semi-autonomous vehicles: Usage-based data evidences of what could be expected from eliminating speed limit violations.
Accident Analysis & Prevention,
Vol. 123,
Issue. ,
p.
99.
Ryan, Cian
Murphy, Finbarr
and
Mullins, Martin
2019.
Semiautonomous Vehicle Risk Analysis: A Telematics‐Based Anomaly Detection Approach.
Risk Analysis,
Vol. 39,
Issue. 5,
p.
1125.
Samaranayake, P.
Nagalingam, S.
and
Laosirihongthong, T.
2019.
Supplier Selection and Ranking Towards Sustainable Procurement with Multiple Decision Makers.
p.
906.
Gao, Guangyuan
and
Wüthrich, Mario V.
2019.
Convolutional Neural Network Classification of Telematics Car Driving Data.
Risks,
Vol. 7,
Issue. 1,
p.
6.
Ayuso, Mercedes
Guillen, Montserrat
and
Nielsen, Jens Perch
2019.
Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data.
Transportation,
Vol. 46,
Issue. 3,
p.
735.
Huang, Yifan
and
Meng, Shengwang
2019.
Automobile insurance classification ratemaking based on telematics driving data.
Decision Support Systems,
Vol. 127,
Issue. ,
p.
113156.
Guillen, Montserrat
Nielsen, Jens Perch
Ayuso, Mercedes
and
Pérez‐Marín, Ana M.
2019.
The Use of Telematics Devices to Improve Automobile Insurance Rates.
Risk Analysis,
Vol. 39,
Issue. 3,
p.
662.
Tzougas, G.
Hoon, W. L.
and
Lim, J. M.
2019.
The negative binomial-inverse Gaussian regression model with an application to insurance ratemaking.
European Actuarial Journal,
Vol. 9,
Issue. 1,
p.
323.
Blesa, Angel
Íñiguez, David
Moreno, Rubén
and
Ruiz, Gonzalo
2020.
Use of open data to improve automobile insurance premium rating.
International Journal of Market Research,
Vol. 62,
Issue. 1,
p.
58.
Eling, Martin
and
Kraft, Mirko
2020.
The impact of telematics on the insurability of risks.
The Journal of Risk Finance,
Vol. 21,
Issue. 2,
p.
77.