<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-07-30T22:54:37Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/6896" metadataPrefix="marc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/6896</identifier><datestamp>2024-05-17T10:24:35Z</datestamp><setSpec>com_10259.4_104</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_6848</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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<subfield code="a">Rangel, Thais</subfield>
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<subfield code="a">Gonzalez, Juan Nicolas</subfield>
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<subfield code="a">Gomez, Juan</subfield>
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<subfield code="a">Vasallo, Jose Manuel</subfield>
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<subfield code="a">Romero, Fernando</subfield>
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<subfield code="c">2021-07</subfield>
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<subfield code="a">Ride-hailing is an emerging service that is transforming door to door mobility in urban&#xd;
areas. Users can easily request a ride through a smartphone app that informs them of the&#xd;
pickup time, the location of the vehicle, and the fare that they will pay in advance. Even&#xd;
though it is well know that Uber implements a dynamic pricing approach depending&#xd;
mostly on supply, demand and competition with other services, there is still little empirical&#xd;
evidence on the main drivers explaining the fare strategy of the company. Using 10-month&#xd;
data from the Uber’s Application Programming Interface (API) in the city of Madrid, this&#xd;
research studies the evolution and trends experienced by Uber fares in terms of several&#xd;
explanatory variables. It also explores the main differences between Uber and taxi fares.&#xd;
The results indicate that trip distance, day of the week, origin and destination of the trip,&#xd;
and rain precipitation have a statistically significant impact on Uber fares. The findings&#xd;
also show that on average, Uber fares are lower than taxi fares, with the exception of&#xd;
particular hours of the day. The analysis also demonstrates that Uber fares slightly&#xd;
decreased during taxi strikes.</subfield>
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<subfield code="a">978-84-18465-12-3</subfield>
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<subfield code="a">http://hdl.handle.net/10259/6896</subfield>
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<subfield code="a">10.36443/10259/6896</subfield>
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<subfield code="a">ITS, operación y gestión</subfield>
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<subfield code="a">ITS, operation and management</subfield>
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<subfield code="a">An empirical analysis of Uber fares: Evidence from Madrid</subfield>
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