Passenger Trip Planning using Ride-Sharing Services

Svangren, Michael Kvist; Skov, Mikael B.; Kjeldskov, Jesper

doi:10.1145/3173574.3174054

Cited by 10 publications

(18 citation statements)

References 29 publications

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“…Ride-sharing schemes, except when supported by bespoke systems (e.g. those used by Uber, Lyft,Blablacar), they oftentimes operate on top of various ICTs -from phone calls to social media networks; tools which are not designed to support ride-sharing per se [83]. For example, Telegram service, due to the fact that its users do not need to link their accounts to a phone number, has been recently appropriated for 'safe and emergency carpooling' during the Hong Kong protests [36].…”

Section: Ride-sharingmentioning

confidence: 99%

Designing Sharing Economy Platforms through a 'Solidarity HCI' lens

Ntouros

Kouki

Vlachokyriakos

2021

Proc. ACM Hum.-Comput. Interact.

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Despite sharing economy's promise of a novel, inclusive and community building socio-techno-economic system, sharing economy has been indicted, among others for profiteering from previously private and occasionally non-monetized activities, for turning the activity of sharing into an individualistic and impersonal one, for reproducing stereotypes and creating precarious jobs. In the epicenter of such critiques are the 'big' and 'limelight-ed' platform-firms, like AirBnB and Uber and the digital infrastructures they employ. To the best of our knowledge, the majority of related research focuses on SE platforms of this ilk. In response, acknowledging that the problem is not the agency of the digital in the activity of sharing per se, but that the wrong people set the terms, design and benefit from this mediation, we find it timely to explore the existence of community-driven sharing economy initiatives and explore how they use the digital to support their sharing ends. As a result, in this paper we report from our engagement with a ride-sharing initiative, called 'Share the ride ;)' which operates within a Facebook group since 2009 and is the most popular ride-sharing 'platform' in Greece.Extrapolating from our findings and while adopting a 'Solidarity HCI' approach, a call to design for 'human' rather than market needs, we participate in the 'sharing discourse' by providing design implications for the development of sharing economy platforms which can favor community building, participation, self-organization and the nurturing of a generative sharing ideology. To this end, we suggest the development of malleable sharing economy platforms and of mechanisms which can support the development of relational trust(s) and enduring social relations. Finally, we underscore that in order to favor the establishment of such relations, those platforms should employ architectures which esteem pluralism and self-affirmation.CCS Concepts: • Human-centered computing → Collaborative and social computing systems and tools.

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Section: Ride-sharingmentioning

confidence: 99%

Designing Sharing Economy Platforms through a 'Solidarity HCI' lens

Ntouros

Kouki

Vlachokyriakos

2021

Proc. ACM Hum.-Comput. Interact.

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“…This has some interesting behavior, as it varies on the cost-benefit of driving (respectively, ride-hailing) at any given time of day for a driver (respectively, a customer). Southern et al (2017) built a mobile system to estimate and report the total cost of a driving trip that was extended for ride-sharing (Svangren et al, 2018). Understanding pricing and its impact on users is also essential in domains such as crowdsourcing.…”

Section: Literature Reviewmentioning

confidence: 99%

Will You Buy It Now?: Predicting Passengers that Purchase Premium Promotions Using the PAX Model

Emadi¹,

Thirumuruganathan²,

Robillos³

et al. 2021

Journal of Smart Tourism

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Upselling is often a critical factor in revenue generation for businesses in the tourism and travel industry. Utilizing passenger data from a major international airline company, we develop the PAX (Passenger, Airline, eXternal) model to predict passengers that are most likely to accept an upgrade offer from economy to premium. Formulating the problem as an extremely unbalanced, cost-sensitive, supervised binary classification, we predict if a customer will take an upgrade offer. We use a feature vector created from the historical data of 3 million passenger records from 2017 to 2019, in which passengers received approximately 635,000 upgrade offers worth more than $422,000,000 U.S. dollars. The model has an F1-score of 0.75, outperforming the airline's current rule-based approach. Findings have several practical applications, including identifying promising customers for upselling and minimizing the number of indiscriminate emails sent to customers. Accurately identifying the few customers who will react positively to upgrade offers is of paramount importance given the airline 'industry's razor-thin margins. Research results have significant real-world impacts because there is the potential to improve targeted upselling to customers in the airline and related industries.

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“…One suggestion would be to look at other meaningful forms of sustainable mobility, e.g. car or ride-sharing [29,60].…”

Section: Towards Sustainable Desirable Drivingmentioning

confidence: 99%

“…[4,13,26,52]). Towards cars in general, digital ecologies have proven useful to serve a range of novel types of mobility, for example, ride-sharing where digital platforms can support switching between different modes of transportation [60]. Further, it has been indicated that digital ecologies are important means for supporting people interacting with the EV itself as a digital device [59].…”

Section: Supporting Ev Driving Through Digital Ecologiesmentioning

confidence: 99%

Investigating EV Driving as Meaningful Practice

Svangren

Skov

Kjeldskov

2019

Proceedings of the 31st Australian Conference on Human-Computer-Interaction

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Studies show that people find meanings such as freedom and independence in driving. However, the transition towards electric vehicles (EV's) challenges these meanings as they present different driving experiences such as shorter driving range and missing supportive infrastructures. This suggests that people find other meaning in EV driving. This paper presents a qualitative study with 11 Danish participants who reflect on their experiences of driving EV's in everyday life. As driving is embedded in many practices along with being a practice in itself, we draw on social practice theory as a framework to unfold how participants make use of technology to make EV driving a meaningful and desirable practice. We report on how participants facilitate their driving practices using interactive technology and charging infrastructure. We discuss these findings under three headings with ideas to inspire future HCI research and design for meaningful, sustainable EV driving practice. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI.

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Passenger Trip Planning using Ride-Sharing Services

Cited by 10 publications

References 29 publications

Designing Sharing Economy Platforms through a 'Solidarity HCI' lens

Designing Sharing Economy Platforms through a 'Solidarity HCI' lens

Will You Buy It Now?: Predicting Passengers that Purchase Premium Promotions Using the PAX Model

Investigating EV Driving as Meaningful Practice

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