Consumer behavior and its models in modern socio-economic relations

Recently, Uber has emerged as a leader in the "sharing economy".Uber is a "ride sharing" service that matches willing drivers with customers looking for rides.However, unlike other open marketplaces (e.g., AirBnB), Uber is a black-box: they do not provide data about supply or demand, and prices are set dynamically by an opaque "surge pricing" algorithm.The lack of transparency has led to concerns about whether Uber artificially manipulate prices, and whether dynamic prices are fair to customers and drivers.In order to understand the impact of surge pricing on passengers and drivers, we present the first in-depth investigation of Uber.We gathered four weeks of data from Uber by emulating 43 copies of the Uber smartphone app and distributing them throughout downtown San Francisco (SF) and midtown Manhattan.Using our dataset, we are able to characterize the dynamics of Uber in SF and Manhattan, as well as identify key implementation details of Uber's surge price algorithm.Our observations about Uber's surge price algorithm raise important questions about the fairness and transparency of this system.

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Publication Details

Journal
Alma mater Vestnik Vysshey Shkoly
Published
2025-01-01
DOI
https://doi.org/10.20339/am.05-25.074
Primary Topic
Cultural, Linguistic, Economic Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Consumer behavior and its models in modern socio-economic relations

Надежда Анатольевна Четверикова, Marina Alexandrovna Kolmykova
Alma mater Vestnik Vysshey Shkoly
Cultural, Linguistic, Economic Studies
article

Consumer behavior and its models in modern socio-economic relations

Надежда Анатольевна Четверикова, Marina Alexandrovna Kolmykova
article en

Abstract

Recently, Uber has emerged as a leader in the "sharing economy".Uber is a "ride sharing" service that matches willing drivers with customers looking for rides.However, unlike other open marketplaces (e.g., AirBnB), Uber is a black-box: they do not provide data about supply or demand, and prices are set dynamically by an opaque "surge pricing" algorithm.The lack of transparency has led to concerns about whether Uber artificially manipulate prices, and whether dynamic prices are fair to customers and drivers.In order to understand the impact of surge pricing on passengers and drivers, we present the first in-depth investigation of Uber.We gathered four weeks of data from Uber by emulating 43 copies of the Uber smartphone app and distributing them throughout downtown San Francisco (SF) and midtown Manhattan.Using our dataset, we are able to characterize the dynamics of Uber in SF and Manhattan, as well as identify key implementation details of Uber's surge price algorithm.Our observations about Uber's surge price algorithm raise important questions about the fairness and transparency of this system.

Alma mater Vestnik Vysshey Shkoly(5)
National Science Foundation
Openalex Percentile: Top 85%
Cultural, Linguistic, Economic Studies
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