Intercity ridesharing to the rescue: Capacity flexibility and price stability of BlaBlaCar during the 2018 French railway strike

Yeung, Timothy Yu-Cheong; Zhu, Dianzhuo

doi:10.1016/j.tra.2022.08.015

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…Such a data feed can help a platform establish whether the platform's profit and welfare can be maximized simultaneously. To implement DSD decisions, a platform will have to track and collect data on demand, along with price, customer wait times (and cancellations), and driver relocation in real time, and then estimate the instantaneous demand curve and impute α and γ (Lam et al, 2021; Yeung & Zhu, 2022). It's noteworthy that these estimates can be aggregated in zones or localized in sub‐zones.…”

Section: Discussionmentioning

confidence: 99%

Distributed service with proximal capacity and pricing on a two‐sided sharing economy platform

Lee

Bellamy

Joglekar

2022

J of Ops Management

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In this article, we characterize the relationship between spatial pricing and capacity based on distributed service design (DSD) decisions in a two‐sided sharing economy platform. We leverage theoretical tenets on two‐sided markets and on spatial pricing and capacity management in the sharing economy to inform a set of empirical and simulation models. Empirically, we use data on 156,520 observations of dynamic pricing and capacity distribution within Uber's San Francisco region. Estimation of a spatial econometric model reveals that the number of active drivers in neighboring zones negatively impacts the price in focal zones. Simultaneously, we find that spatial proximity is a significant factor in determining the distribution of prices when service demand levels are sufficiently high. We leverage this simultaneity finding to advance the literature on the sharing economy by incorporating operational considerations such as distributed capacity into service design. We link these econometric results with profit and welfare using a simulation that tests a variety of DSD pricing strategies under varying elasticity and revenue‐sharing conditions. Our findings offer guidance to firms managing two‐sided sharing economy platforms on tracking demand‐ and supply side price elasticity levels as well as revenue sharing spread when seeking to maximize profit, welfare, or both.

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Section: Discussionmentioning

confidence: 99%

Distributed service with proximal capacity and pricing on a two‐sided sharing economy platform

Lee

Bellamy

Joglekar

2022

J of Ops Management

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“…Flexibility is a concept derived from the need to reduce adverse effects on the supply chain [ 90 ], which is identified as the capability of a supply chain to be resilient and to react and change in order to meet changes in market demand [ 91 ]. Demanders and suppliers are important components of the supply chain, so the flexibility of suppliers in terms of batches [ 10 ], time [ 92 ], and categories has a significant impact on the demand side [ 93 ].…”

Section: Evaluation Criteria Of Emergency Medical Suppliersmentioning

confidence: 99%

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Liu

Zhu

Yang

et al. 2023

Entropy

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How to ensure the normal production of industries in an uncertain emergency environment has aroused a lot of concern in society. Selecting the best emergency material suppliers using the multicriteria group decision making (MCGDM) method will ensure the normal production of industries in this environment. However, there are few studies in emergency environments that consider the impact of the decision order of decision makers (DMs) on the decision results. Therefore, in order to fill the research gap, we propose an extended MCGDM method, whose main steps include the following: Firstly, the DMs give their assessment of all alternatives. Secondly, we take the AHP method and entropy weight method to weight the criteria and the DMs. Thirdly, we take the intuitionistic fuzzy hybrid priority weight average (IFHPWA) operator we proposed to aggregate evaluation information and take the TOPSIS method to rank all the alternatives. Finally, the proposed method is applied in a case to prove its practicability and effectiveness. The proposed method considers the influence of the decision order of the DMs on the decision results, which improves the accuracy and efficiency of decision-making results.

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“…These studies focus on urban transport and commuter mode choice and mostly investigate contemporary effects. One of the few studies investigating intercity travel is Yeung and Zhu (2022). The authors show that the number of booked seats with BlaBlaCar -an intercity ride-sharing app -increased by 33% during a railway strike in France.…”

Section: Introductionmentioning

confidence: 99%

Striking Evidence: The Impact of Railway Strikes on Competition from Intercity Bus Services in Germany

2023

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Intercity ridesharing to the rescue: Capacity flexibility and price stability of BlaBlaCar during the 2018 French railway strike

Cited by 4 publications

References 20 publications

Distributed service with proximal capacity and pricing on a two‐sided sharing economy platform

Distributed service with proximal capacity and pricing on a two‐sided sharing economy platform

Extended Multicriteria Group Decision Making with a Novel Aggregation Operator for Emergency Material Supplier Selection

Striking Evidence: The Impact of Railway Strikes on Competition from Intercity Bus Services in Germany

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