Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/24529
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dc.contributor.authorMaruthasalam, Arulanantha Prabu Ponnachiyur
dc.contributor.authorRoy, Debjit
dc.contributor.authorVenkateshan, Prahalad
dc.date.accessioned2021-11-01T09:54:16Z
dc.date.available2021-11-01T09:54:16Z
dc.date.issued2021-10-26
dc.identifier.citationMaruthasalam, A. P. P., Roy, D., & Venkateshan, P. (2021). Modelling driver's reactive strategies in e-hailing platforms: an agent-based simulation model and an approximate analytical model. International Journal of Production Research, 1-19.en_US
dc.identifier.urihttps://doi.org/10.1080/00207543.2021.1987554
dc.identifier.urihttp://hdl.handle.net/11718/24529
dc.description.abstractFor an e-hailing taxi operation, we analyse a driver's profit-maximising reactive strategy (to either accept or refuse a ride request) in response to the ride request broadcast by the platform. We analyse four operating modes, each of which is a combination of either of two reactive strategies: no refusal and refusal based on proximity, and either of two broadcasting methods. In an operating mode, our objective is to evaluate the expected total profit in a shift. We adopt a two-stage methodology to answer the research questions. In the first stage, we develop an agent-based simulation model to capture the effect of multiple taxis on driver's reactive strategy. Using real trip data, we find that a driver could follow a strategy of refusal based on proximity and earn approximately 25% more than the baseline no refusal strategy. In the second stage, we develop an approximate analytical model for a single taxi operation and compare the performance against the agent-based simulation model. We develop closed-form expressions of the expected total profit for each operating mode and topology of the service region. We find that our approximate analytical model provides an upper bound, and the profit deviation lies within 20% of the agent-based simulation model.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofInternational Journal of Production Researchen_US
dc.subjectAgent-based simulationen_US
dc.subjectApplied probabilityen_US
dc.subjectTransportationen_US
dc.titleModelling driver's reactive strategies in e-hailing platforms: an agent-based simulation model and an approximate analytical modelen_US
dc.typeArticleen_US
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