2026-06-07T02:29:13Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/69192024-05-20T07:46:26Zcom_10259.4_104com_10259_2604col_10259_6848
Martínez-Alvaro, Oscar
c8848593-1b58-4559-a6ba-28e80ca9ff02
600
Hernández Santana, Iván
fc92a90e-2710-4157-80ab-6312ecf2053a
600
2022-09-19T11:07:18Z
2022-09-19T11:07:18Z
2021-07
978-84-18465-12-3
http://hdl.handle.net/10259/6919
10.36443/10259/6919
Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
Most transport modeling requires the use of data available in official sources plus
complementary information that helps to fill gaps. This later information is mostly obtained
with the help of private data and field data collection. But sometimes this field data collection
is not possible for several reasons. On the other hand, there are more and more sources of
information readily available, which may provide indirect clues about users’ behavior.
Within the framework of a bidding process, a modelling of Majorca’s public transport was
carried out in order to ascertain elasticities of demand to several parameters of supply that
were expected to change. For that purpose, there appeared a need of getting detailed
information on tourist activities, which are a huge share of total mobility in summertime.
Official information on population is rather detailed, but tourism data are available only on
an aggregated basis.
Some indirect sources of information were analyzed. The easiest and most useful ones were
TripAdvisor and Booking. The former is sort of a macro-survey of popularity and it seems
logical that those nuclei with more opinions are those most visited, thus acting as an indicator
of attraction. The latter provides information on location of accommodation offered, thus
providing a tool for the geographical distribution of trip generation on a very detailed basis.
In total, 933,934 opinions for 198 nuclei from TripAdvisor, and 2,114 accommodation assets
for 51 Municipalities from Booking were used. With this information it was possible to
calibrate different models for the whole Island, this opening the door to further analyses in
the field of transportation and mobility.
The Transport Consortium of Majorca (CTM), entity in charge of planning and management
of scheduled public transport services on that island, published in March 2019 the call for
tenders for all intercity public passenger transport services by bus. It opened a scenario of
important changes (CTM 2017a and 2017b) that sought to increase the total demand of the
intercity bus network by 25% between 2015 and 2028, by means of a substantial variation
in the supply side (travel times, timetables, connectivity between lines, etc.). For example,
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
system was introduced, with a very complex structure that imposed a heavy surcharge when
purchasing the ticket on the bus. However, no technical study with more information on the
expected demand figures was released.
Under these circumstances, any projection of the historical data was irrelevant and one of
the bidding companies, which also operated a good part of the existing services, felt the need
of calculating the expected demand with scientific tools.
The analysis of the problem in question faced, fundamentally, an important lack of detail of
the available information:
As for transport supply or demand, the official information was limited to total
figures by line (CTM, 2017 and “Open Data” site).
In terms of demand factors, the greatest disaggregation available in official sources
(ibestat) was at municipal level.
The following sections focus on the cross-section analysis of the general services, without
dealing with other issues analyzed at the time, such as the new lines to the airport and the
time-series modeling.
application/pdf
eng
1222
R-Evolucionando el transporte
http://hdl.handle.net/10259/6490
https://doi.org/10.36443/9788418465123
Modelización
Simulación
Transporte público
Modelling
Simulation
Public transport
Ingeniería civil
Transportes
Civil engineering
Transportation
New unconventional sources of information for transport analysis. The case of a model for public transport services in Majorca
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/openAccess
1213
THUMBNAIL
Martínez_CIT2021_1213-1222.pdf.jpg
Martínez_CIT2021_1213-1222.pdf.jpg
IM Thumbnail
image/jpeg
4149
https://riubu.ubu.es/bitstream/10259/6919/3/Mart%c3%adnez_CIT2021_1213-1222.pdf.jpg
719d7d18f5bc15b229187c139a82d064
MD5
3
LICENSE
license.txt
license.txt
text/plain; charset=utf-8
1362
https://riubu.ubu.es/bitstream/10259/6919/2/license.txt
5d013bfa6e473ff0db22cd82a4d71a70
MD5
2
ORIGINAL
Martínez_CIT2021_1213-1222.pdf
Martínez_CIT2021_1213-1222.pdf
application/pdf
375547
https://riubu.ubu.es/bitstream/10259/6919/1/Mart%c3%adnez_CIT2021_1213-1222.pdf
870eb317145f0af94d400767c6834b41
MD5
1
10259/6919
oai:riubu.ubu.es:10259/6919
2024-05-20 09:46:26.361
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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