Integrated reward scheme and surge pricing in a ridesourcing market

Yang, Hai; Shao, Chaoyi; Hai, Wang; Ye, Jieping

doi:10.1016/j.trb.2020.01.008

Cited by 94 publications

(24 citation statements)

References 22 publications

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“…Our study generates several key contributions. First, we extend the prior literature on surge pricing [6,7] to stochastic demand and uncertain supply with network effects, which naturally existed between demand side and supply of crowd logistics platforms. Second, departing from the existing literature applying probability density function to represent stochastic demand and uncertain supply, we use optimal control theory in order to precisely describe the dynamic trajectory of crowd logistics prices.…”

Section: Introductionmentioning

confidence: 93%

Coordinating Demand and Supply for Crowd Logistics Platforms with Network Effect

Wang

Xie

2021

Mathematical Problems in Engineering

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The crowd logistics platforms connect stochastic demand with uncertain delivery supply which is provided by independent service providers. Considering direct-network effects and cross-network effects between the demand and supply side, a dynamic surge pricing model for crowd logistics platforms is built. The pricing strategy is derived to coordinate the supply with demand to equilibrium. Furthermore, the pricing strategy minimizing cumulative delivery orders is analyzed. The numerical simulation results show that the dynamic surge pricing strategies can stimulate the uncertain delivery supply for maximizing platforms’ revenue. And, direct-network effects pose a positive impact on the dynamic surge pricing strategy. In contrast, the cross-network effects have a negative impact on the pricing strategy. However, direct-network effects and cross-network effects negatively influence platforms’ revenue.

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Section: Introductionmentioning

confidence: 93%

Coordinating Demand and Supply for Crowd Logistics Platforms with Network Effect

Wang

Xie

2021

Mathematical Problems in Engineering

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“…While DP can be seen beneficial for ride-sharing platforms, drivers and customers, also drawbacks have been identified. DP encourages both drivers and customers to act strategically, which in turn harms ride-sharing platforms' long-term success [22]. From the customer's perspective, problems arise when DP leads to heavy price increases at the worst time [22,23].…”

Section: Dynamic Pricing In the Taxi Industrymentioning

confidence: 99%

“…DP encourages both drivers and customers to act strategically, which in turn harms ride-sharing platforms' long-term success [22]. From the customer's perspective, problems arise when DP leads to heavy price increases at the worst time [22,23]. As the DP algorithms have not been made public by ride-sharing platforms, it is impossible for third parties to predict future prices and demand patterns, and to be sure that ride-sharing platforms are not manipulating prices [21,24].…”

Section: Dynamic Pricing In the Taxi Industrymentioning

confidence: 99%

Non-Adoption of Dynamic Pricing in Traditional Taxi Dispatch Organizations

Tervo¹,

Väyrynen²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Dynamic pricing (DP) was introduced into the taxi industry through ride-sharing platforms such as Uber. Prior research has identified benefits of DP for ridesharing organizations, drivers and consumers. A legal reform in Finland in July 2018 made DP of taxi rides legally possible. However, even though traditional Finnish dispatch organizations have adopted different technology (e.g., ride-hailing apps), they have not adopted DP. To find out the reasons for the non-adoption, we conducted a qualitative case study among Finnish dispatch organizations. Utilizing IT artifact as an analytical lens, we identified ten aspects related to the technology, the structure and the context within which DP is embedded that help explain why it has not been adopted. We propose that DP in the taxi industry should be seen more broadly than just as "Uber-type" realtime DP, as it has been viewed in previous literature. Our findings have implications for research and practice.

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“…Subsequently, through scale measurements, the data are quantified and used to form a pair wise comparison matrix at each level. The eigen values are obtained after calculation and each eigenvalue is used to assess the strength of each pairwise comparison matrix, which serves a reference when making decisions [20].…”

Section: The Analytic Hierarchy Processmentioning

confidence: 99%

Sustainable Shopping Mall Rehabilitation

2020

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In the era of globalization, increasing the nation’s industrial competitiveness, production value, and competitiveness is a challenge for every country. Therefore, Taiwan must strive for innovation, increase the added value of its products, and enhance industrial competitiveness. This promotes Taiwan’s survival under competition engendered by globalization. The study identified public places that influence consumer opinions of shopping malls to examine the intentionality of the relationship between people and shopping malls. Taiwan has many historical cultural parks that have been reduced to idle spaces. This research will enable historical creative parks. Through DAHP’s research methods, this research will determine the key factors in the public space of cultural shopping centers. Moreover, the study examined key factors that create a sense of culture in public space design. The relationship between the general public and shopping malls has various internationalities.

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Integrated reward scheme and surge pricing in a ridesourcing market

Cited by 94 publications

References 22 publications

Coordinating Demand and Supply for Crowd Logistics Platforms with Network Effect

Coordinating Demand and Supply for Crowd Logistics Platforms with Network Effect

Non-Adoption of Dynamic Pricing in Traditional Taxi Dispatch Organizations

Sustainable Shopping Mall Rehabilitation

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