2021
DOI: 10.1007/s11116-021-10180-w
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Exploring ride-hailing fares: an empirical analysis of the case of Madrid

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Cited by 16 publications
(12 citation statements)
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“…On the other hand, drivers working on weekends as well as Fridays are inclined to wait around their location. This might stem from the relatively higher demand on these days of the week (Rangel et al 2021). Therefore, drivers can receive more requests with less driving effort (operational costs).…”
Section: Model Estimation Resultsmentioning
confidence: 99%
“…On the other hand, drivers working on weekends as well as Fridays are inclined to wait around their location. This might stem from the relatively higher demand on these days of the week (Rangel et al 2021). Therefore, drivers can receive more requests with less driving effort (operational costs).…”
Section: Model Estimation Resultsmentioning
confidence: 99%
“…In the blue circle, the variables of a technological nature are observed, indicating that they belong to the 3 dimensions. The impact and importance of the technological characteristics of the offer and its ordering form are corroborated by Rangel et al, 2021;Shi et al, 2021. In turn, the reduced price and the expectation of benefits (red circle) indicate the utilitarian and individual character of the use, that is, the personal advantages associated with the cost are important drivers of use, which is corroborated by Moody et al, 2021;Violin, 2021a. Such elements distinguish this offer of public transportation modes, which has in its characterization price, time, boarding place and other passengers as variables that cannot be defined by consumers. This inference is echoed in studies such as those developed by the Fia Foundation; CAF, 2017 and Costa et al, 2021 and appear as relevant among the four use motivators listed above.…”
Section: Commonalitiesmentioning
confidence: 87%
“…Considering the above, the hypothesis is pointed out that female consumption is determined by variables similar to those of the general public -such as cost, interests in use (expectation of benefits) and technology-based facilitators (time, boarding) - (Rangel et al, 2021;Agarwal et al, 2022) added with elements aimed at self-preservation, such as forms of harassment and risk of life (Colodetti; Melo, 2020; Shi et al, 2021;Bezerra, 2021) impacted by the reason for use (Soto Villagrán, 2019) and the periods of the day when users use the service (Violin, 2021a).…”
Section: Women Yesmentioning
confidence: 99%
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“…Banergee et al [13] use queuing theory model to simulate the flow of drivers and passengers in online ride-hailing market for the first time and study the volume and revenue of online ride-hailing platform by static pricing and dynamic pricing. In addition, a series of literature studies [14][15][16] show the pricing strategy of online ride-hailing platform to explore how pricing can balance the relationship between passengers, drivers, and the platform, to maximize the benefits.…”
Section: Literature Reviewmentioning
confidence: 99%