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Which battery-charging technology and insurance contract is preferred in the electric vehicle sharing business?

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  • Wu, Peng

Abstract

The adoption of electric vehicles (EVs) is emerging in the car-sharing business due to the high potential of reducing operational costs as well as greenhouse gas emissions. In this early stage of the EV-sharing business, it is still unclear which battery-charging technology and insurance contract would be more competitive for EV-sharing operators in the context of future business. We have developed a stylized model with which to analyze the impact of different charging technologies, insurance contracts and other related factors on the EV-sharing operator’s profit. The operator’s demand is derived from customers’ utility of driving under a membership scheme. Various operational costs such as electricity and parking place costs are considered. Different battery-charging technologies and insurance contracts are incorporated into the model and then compared. The results show that membership and driving time are strategic complements, and that the operator’s profit is sensitive to policy interventions. Fixed-premium insurance leads to lower prices for the EV-sharing service than per-hour-premium insurance. The per-hour premium fees decrease more significantly than the fixed premium fees as autonomous vehicles reduce accident costs. The conditions for different battery-charging technologies to be price competitive are identified and meaningful policy implications are derived.

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  • Wu, Peng, 2019. "Which battery-charging technology and insurance contract is preferred in the electric vehicle sharing business?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 537-548.
    • Handle: RePEc:eee:transa:v:124:y:2019:i:c:p:537-548
    DOI: 10.1016/j.tra.2018.04.010
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    1. Kaspi, Mor & Raviv, Tal & Tzur, Michal & Galili, Hila, 2016. "Regulating vehicle sharing systems through parking reservation policies: Analysis and performance bounds," European Journal of Operational Research, Elsevier, vol. 251(3), pages 969-987.
    2. Ioannis Bellos & Mark Ferguson & L. Beril Toktay, 2017. "The Car Sharing Economy: Interaction of Business Model Choice and Product Line Design," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 185-201, May.
    3. Desyllas, Panos & Sako, Mari, 2013. "Profiting from business model innovation: Evidence from Pay-As-You-Drive auto insurance," Research Policy, Elsevier, vol. 42(1), pages 101-116.
    4. Ian W. H. Parry, 2005. "Is Pay-as-You-Drive Insurance a Better Way to Reduce Gasoline than Gasoline Taxes?," American Economic Review, American Economic Association, vol. 95(2), pages 288-293, May.
    5. Jeroen Struben & John D Sterman, 2008. "Transition Challenges for Alternative Fuel Vehicle and Transportation Systems," Environment and Planning B, , vol. 35(6), pages 1070-1097, December.
    6. Firnkorn, Jörg & Müller, Martin, 2011. "What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm," Ecological Economics, Elsevier, vol. 70(8), pages 1519-1528, June.
    7. Nourinejad, Mehdi & Zhu, Sirui & Bahrami, Sina & Roorda, Matthew J., 2015. "Vehicle relocation and staff rebalancing in one-way carsharing systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 98-113.
    8. Long He & Ho-Yin Mak & Ying Rong & Zuo-Jun Max Shen, 2017. "Service Region Design for Urban Electric Vehicle Sharing Systems," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 309-327, May.
    9. David G. Victor & Charles F. Kennel, 2014. "Climate policy: Ditch the 2 °C warming goal," Nature, Nature, vol. 514(7520), pages 30-31, October.
    10. Bian, Yiyang & Yang, Chen & Zhao, J. Leon & Liang, Liang, 2018. "Good drivers pay less: A study of usage-based vehicle insurance models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 20-34.
    11. Jeroen Struben & John D. Sterman, 2008. "Transition Challenges for Alternative Fuel Vehicle and Transportation Systems," Post-Print hal-02312277, HAL.
    12. Correia, Gonçalo Homem de Almeida & Antunes, António Pais, 2012. "Optimization approach to depot location and trip selection in one-way carsharing systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 233-247.
    13. Jaap H. Abbring & James J. Heckman & Pierre-André Chiappori & Jean Pinquet, 2003. "Adverse Selection and Moral Hazard In Insurance: Can Dynamic Data Help to Distinguish?," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 512-521, 04/05.
    14. Pierre-Andre Chiappori & Bernard Salanie, 2000. "Testing for Asymmetric Information in Insurance Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
    15. Jaap H. Abbring & Pierre-André Chiappori & Jean Pinquet, 2003. "Moral Hazard and Dynamic Insurance Data," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 767-820, June.
    16. Jaap H. Abbring & Pierre-André Chiappori & Jean Pinquet, 2003. "Moral Hazard and Dynamic Insurance Data," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 767-820, June.
    17. Boyacı, Burak & Zografos, Konstantinos G. & Geroliminis, Nikolas, 2015. "An optimization framework for the development of efficient one-way car-sharing systems," European Journal of Operational Research, Elsevier, vol. 240(3), pages 718-733.
    18. Kek, Alvina G.H. & Cheu, Ruey Long & Meng, Qiang & Fung, Chau Ha, 2009. "A decision support system for vehicle relocation operations in carsharing systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 149-158, January.
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    2. Haider Ali Abbasi & Satirenjit Kaur Johl & Zullina Bt Hussain Shaari & Wajiha Moughal & Muhammad Mazhar & Muhammad Ali Musarat & Waqas Rafiq & Asaad Salam Farooqi & Alexey Borovkov, 2021. "Consumer Motivation by Using Unified Theory of Acceptance and Use of Technology towards Electric Vehicles," Sustainability, MDPI, vol. 13(21), pages 1-22, November.
    3. Nadine Gatzert & Katrin Osterrieder, 2020. "The future of mobility and its impact on the automobile insurance industry," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(1), pages 31-51, March.
    4. Patyal, Vishal Singh & Kumar, Ravi & Kushwah, Shiksha, 2021. "Modeling barriers to the adoption of electric vehicles: An Indian perspective," Energy, Elsevier, vol. 237(C).
    5. Lefeng, Shi & Chunxiu, Liu & Jingrong, Dong & Cipcigan, Liana, 2020. "External benefits calculation of sharing electric vehicles in case of Chongqing China," Utilities Policy, Elsevier, vol. 64(C).
    6. Kumar, Rajeev Ranjan & Chakraborty, Abhishek & Mandal, Prasenjit, 2021. "Promoting electric vehicle adoption: Who should invest in charging infrastructure?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).

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