Measuring Accessibility: A Big Data Perspective on Uber Service Waiting Times

Insardi, André; Lorenzo, Rodolfo Oliveira

doi:10.1590/s0034-759020190606

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…Previous research has analyzed the wait times of passengers from TNCs as a surrogate to access to ride-hailing services (Hughes & MacKenzie, 2016;Insardi et al, 2019;Shokoohyar et al, 2020;Wang & Mu, 2018;. However, these studies provide only a limited account of accessibility, because they overlook travel time and land use patterns.…”

Section: Literature Reviewmentioning

confidence: 99%

Ride-hailing and transit accessibility considering the trade-off between time and money

Pereira¹,

Herszenhut²,

Saraiva³

et al. 2023

Preprint

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Ride-hailing services have the potential to expand access to opportunities, but out-of-pocket costs may limit the benefits of ride-hail for low-income individuals. This paper examines how ride-hailing services can shape spatial and socioeconomic differences in access to opportunities while accounting for the trade-off between travel time and monetary costs. Using one year of aggregate Uber trip data for Rio de Janeiro in 2019 and a new multi-objective optimization routing method, we analyze the potential for ride-hailing services to improve employment accessibility when used as a standalone transportation mode and in conjunction with transit as a first-mile feeder service. We compare the accessibility Pareto frontiers of these transport mode alternatives with cumulative opportunity measures considering multiple combinations of travel time and monetary cost thresholds. We find that, compared to transit, ride-hailing can significantly expand accessibility as a standalone transport mode for relatively short trips (between 10 and 40 minutes), and as a first-mile feeder to transit in trips longer than 30 minutes. In both cases, the accessibility advantages of ride-hailing are mostly limited by relatively higher out-of-pocket costs. When we account for different affordability thresholds, the accessibility benefits of ride-hailing services accrue mostly to high-income groups. These findings suggest that policy efforts to integrate rideshare with transit are likely not going to benefit low-income communities without some form of subsidized fare discounts to alleviate affordability barriers. The paper also highlights how accounting for trade-offs between travel-time and monetary costs can importantly influence the results of transportation accessibility and equity studies, suggesting that this issue should be addressed in future research.

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Section: Literature Reviewmentioning

confidence: 99%

Ride-hailing and transit accessibility considering the trade-off between time and money

Pereira¹,

Herszenhut²,

Saraiva³

et al. 2023

Preprint

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“…Finally, as an application of Big Data, Insardi and Lorenzo (2019) in "Measuring accessibility: A Big Data perspective on Uber service waiting times", used some basic Big Data techniques to study mobility access in a large urban setting using estimated waiting times of all Uber products in the city of Sao Paulo. Their major finding is that the estimated waiting times are highly related to socio-economic variables of the neighborhoods (districts).…”

Section: Accepted Articlesmentioning

confidence: 99%

Beyond Technology: Management Challenges in the Big Data Era

et al. 2019

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“…In Brazil, efforts to investigate the relationship between technology and organizations are mostly advancing in the sociology of work (Abilio, 2020;Filgueiras & Antunes, 2020;Grohmann & Qiu, n.d.), and communication (Bruno et al, 2018;Silva & Birhane, 2020). In the area of administration, some recent studies have been limited to addressing the phenomenon of uberization (Insardi & Lorenzo, 2019;Kalil & Lopes, 2018;Serrano & Baldanza, 2017;Valente et al, 2019;Vianna et al, 2018), with a few adopting critical perspectives (Lage & Rodrigues, 2020;André et al, 2019;Franco & Ferraz, 2019;Guimarães Pinho, 2009;Antonio & Caetano, 2006;Fernandes & Raduenz, 2020;Oliveira Abensur, 2007;Vianna & Meneghetti, 2020).…”

Section: Introductionmentioning

confidence: 99%

Algocracia: Uma análise crítica sobre a gestão mediada por algoritmos

Neves¹,

Vianna²,

Sutil³

2021

Contextus

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O objetivo desse artigo teórico é apresentar a temática da algocracia e seus contornos sobuma lente crítica, especialmente no que tange a utilização dos algoritmos pelasorganizações, especialmente na mediação da gestão do trabalho. Esse sistema é pautadona busca por eficiência, e legitimado pelas novas tecnologias de informação e comunicação,afetando relações de trabalho e estruturas organizacionais, seus aspectos culturais,econômicos, sociais e políticos. Para tanto, observamos esse modelo de gestão poralgoritmos pela lente dos estudos críticos de gestão. Argumentamos que o contextoneoliberal camufla as disparidades entre organizações e trabalhadores, ao legitimar aideologia da flexibilidade, e usando os algoritmos para capturar dados, processá-los e, emseguida, decidir sobre as atividades e avaliações dos trabalhadores.

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Measuring Accessibility: A Big Data Perspective on Uber Service Waiting Times

Cited by 8 publications

References 26 publications

Ride-hailing and transit accessibility considering the trade-off between time and money

Ride-hailing and transit accessibility considering the trade-off between time and money

Beyond Technology: Management Challenges in the Big Data Era

Algocracia: Uma análise crítica sobre a gestão mediada por algoritmos

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