2018
DOI: 10.2139/ssrn.3258234
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Dynamic Pricing and Matching in Ride-Hailing Platforms

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Cited by 33 publications
(29 citation statements)
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References 12 publications
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“…Özkan and Ward (2020) propose a dynamic matching policy to maximize the number of matched customers with drivers and prove its optimality in a large market asymptotic regime. Especially, Korolko et al (2018) provide a review about the pricing and matching in ride-sharing. Moreover, they consider both, dynamic pricing and dynamic waiting in a carpooling system.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Özkan and Ward (2020) propose a dynamic matching policy to maximize the number of matched customers with drivers and prove its optimality in a large market asymptotic regime. Especially, Korolko et al (2018) provide a review about the pricing and matching in ride-sharing. Moreover, they consider both, dynamic pricing and dynamic waiting in a carpooling system.…”
Section: Literature Reviewmentioning
confidence: 99%
“…We will also provide a spatial-temporal analysis of the dispatch result. In work by Korolko et al [9], they also took the waiting time of passengers into consideration. us, in this study, we will also consider the waiting time of passengers and the cancelation rate of orders.…”
Section: Methodsmentioning
confidence: 99%
“…However, the efficiency of real-time scheduling should be further considered in practical application. Korolko et al [9] indicated that bipartite matching with time window batching and dynamic pricing can lower waiting time for both riders and drivers as well as capacity utilization, trip throughput, and total welfare. However, they only consider the dispatching in the real-time time window and did not consider the travel demand in the future.…”
Section: Introductionmentioning
confidence: 99%
“…Implementing an appropriate pricing strategy has a key impact on the success of transportation platforms that has been the motivation for several studies on optimal pricing in taxi hailing [3], [4], and [5], crowdsourced delivery [6] and [7], ride sourcing [8], and on-demand service [9] and [10] platforms.…”
Section: A Platform-based Collaborative Transportationmentioning
confidence: 99%
“…There exist 17 companies in Heijplaat among which six companies receive relatively considerable numbers of import containers from the Port of Rotterdam. We assume that three carriers serve these companies and have 12, 10 and 13 vehicles (of two modes) to fully meet the demands which are (5,6,5,7,8,4) (AVs) within the zone. It should be noted that these speeds are experimental choices regarding our case and can vary for different problem settings.…”
Section: A Experiments Settingmentioning
confidence: 99%