<?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>2026-06-07T02:30:18Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/6919" metadataPrefix="marc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/6919</identifier><datestamp>2024-05-20T07:46:26Z</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">dc</subfield>
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<subfield code="a">Martínez-Alvaro, Oscar</subfield>
<subfield code="e">author</subfield>
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<subfield code="a">Hernández Santana, Iván</subfield>
<subfield code="e">author</subfield>
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<subfield code="c">2021-07</subfield>
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<subfield code="a">Most transport modeling requires the use of data available in official sources plus&#xd;
complementary information that helps to fill gaps. This later information is mostly obtained&#xd;
with the help of private data and field data collection. But sometimes this field data collection&#xd;
is not possible for several reasons. On the other hand, there are more and more sources of&#xd;
information readily available, which may provide indirect clues about users’ behavior.&#xd;
Within the framework of a bidding process, a modelling of Majorca’s public transport was&#xd;
carried out in order to ascertain elasticities of demand to several parameters of supply that&#xd;
were expected to change. For that purpose, there appeared a need of getting detailed&#xd;
information on tourist activities, which are a huge share of total mobility in summertime.&#xd;
Official information on population is rather detailed, but tourism data are available only on&#xd;
an aggregated basis.&#xd;
Some indirect sources of information were analyzed. The easiest and most useful ones were&#xd;
TripAdvisor and Booking. The former is sort of a macro-survey of popularity and it seems&#xd;
logical that those nuclei with more opinions are those most visited, thus acting as an indicator&#xd;
of attraction. The latter provides information on location of accommodation offered, thus&#xd;
providing a tool for the geographical distribution of trip generation on a very detailed basis.&#xd;
In total, 933,934 opinions for 198 nuclei from TripAdvisor, and 2,114 accommodation assets&#xd;
for 51 Municipalities from Booking were used. With this information it was possible to&#xd;
calibrate different models for the whole Island, this opening the door to further analyses in&#xd;
the field of transportation and mobility.&#xd;
The Transport Consortium of Majorca (CTM), entity in charge of planning and management&#xd;
of scheduled public transport services on that island, published in March 2019 the call for&#xd;
tenders for all intercity public passenger transport services by bus. It opened a scenario of&#xd;
important changes (CTM 2017a and 2017b) that sought to increase the total demand of the&#xd;
intercity bus network by 25% between 2015 and 2028, by means of a substantial variation&#xd;
in the supply side (travel times, timetables, connectivity between lines, etc.). For example,&#xd;
an increase in supply between 35.8% and 73.1% of vehicle-km was planned, with different figures for each of the three packs into which the tender was divided. In addition, a new fare&#xd;
system was introduced, with a very complex structure that imposed a heavy surcharge when&#xd;
purchasing the ticket on the bus. However, no technical study with more information on the&#xd;
expected demand figures was released.&#xd;
Under these circumstances, any projection of the historical data was irrelevant and one of&#xd;
the bidding companies, which also operated a good part of the existing services, felt the need&#xd;
of calculating the expected demand with scientific tools.&#xd;
The analysis of the problem in question faced, fundamentally, an important lack of detail of&#xd;
the available information:&#xd;
 As for transport supply or demand, the official information was limited to total&#xd;
figures by line (CTM, 2017 and “Open Data” site).&#xd;
 In terms of demand factors, the greatest disaggregation available in official sources&#xd;
(ibestat) was at municipal level.&#xd;
The following sections focus on the cross-section analysis of the general services, without&#xd;
dealing with other issues analyzed at the time, such as the new lines to the airport and the&#xd;
time-series modeling.</subfield>
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<datafield tag="024" ind2=" " ind1="8">
<subfield code="a">978-84-18465-12-3</subfield>
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<subfield code="a">http://hdl.handle.net/10259/6919</subfield>
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<datafield tag="024" ind2=" " ind1="8">
<subfield code="a">10.36443/10259/6919</subfield>
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<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Modelización</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Simulación</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Transporte público</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Modelling</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Simulation</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Public transport</subfield>
</datafield>
<datafield tag="245" ind1="0" ind2="0">
<subfield code="a">New unconventional sources of information for transport analysis. The case of a model for public transport services in Majorca</subfield>
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