Contemporary Issues in the Ethics of Data Analytics in Ride-Hailing Service

Victor Chang; Yujie Shi; Xuemin Li

doi:10.4018/IJoSE.2019070105

Contemporary Issues in the Ethics of Data Analytics in Ride-Hailing Service

Victor Chang, Yujie Shi, Xuemin Li

Centre for Digital Innovation

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Abstract

Big data technology has brought about the establishment of transportation network companies (TNCs), such as Uber in the USA, and Didi in China, who provide the ride hailing services (RHS's) which allows the individuals to act as independent contractors serving customers via a smartphone app. The RHS system installed gigantic databases which can store enormous data and its equipment can collect various kinds of data at any time. Additionally, data analysis technologies in TNCs such as behavioral analysis, heatmap optimization surge pricing and the automatic order assignment mechanisms, can make the RHS more efficient. However, along with achievements big data technology offers, we are struggling towards the ethical problems, including privacy, inequity and safety.

Original language	English
Pages (from-to)	44-57
Journal	International Journal of Strategic Engineering
Volume	2
Issue number	2
DOIs	https://doi.org/10.4018/IJoSE.2019070105
Publication status	Published - 1 Jul 2019

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Open access statement https://www.igi-global.com/about/rights-permissions/content-reuse/
Accessed 9/3/2020

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Contemporary Issues in the Ethics of Data Analytics in Ride-Hailing Service

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