RT info:eu-repo/semantics/conferenceObject
T1 New unconventional sources of information for transport analysis. The case of a model for public transport services in Majorca
A1 Martínez-Alvaro, Oscar
A1 Hernández Santana, Iván
K1 Modelización
K1 Modelling
K1 Simulación
K1 Simulation
K1 Transporte público
K1 Public transport
K1 Ingeniería civil
K1 Civil engineering
K1 Transportes
K1 Transportation
AB Most transport modeling requires the use of data available in official sources pluscomplementary information that helps to fill gaps. This later information is mostly obtainedwith the help of private data and field data collection. But sometimes this field data collectionis not possible for several reasons. On the other hand, there are more and more sources ofinformation readily available, which may provide indirect clues about users’ behavior.Within the framework of a bidding process, a modelling of Majorca’s public transport wascarried out in order to ascertain elasticities of demand to several parameters of supply thatwere expected to change. For that purpose, there appeared a need of getting detailedinformation 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 onan aggregated basis.Some indirect sources of information were analyzed. The easiest and most useful ones wereTripAdvisor and Booking. The former is sort of a macro-survey of popularity and it seemslogical that those nuclei with more opinions are those most visited, thus acting as an indicatorof attraction. The latter provides information on location of accommodation offered, thusproviding 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 assetsfor 51 Municipalities from Booking were used. With this information it was possible tocalibrate different models for the whole Island, this opening the door to further analyses inthe field of transportation and mobility.The Transport Consortium of Majorca (CTM), entity in charge of planning and managementof scheduled public transport services on that island, published in March 2019 the call fortenders for all intercity public passenger transport services by bus. It opened a scenario ofimportant changes (CTM 2017a and 2017b) that sought to increase the total demand of theintercity bus network by 25% between 2015 and 2028, by means of a substantial variationin 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 faresystem was introduced, with a very complex structure that imposed a heavy surcharge whenpurchasing the ticket on the bus. However, no technical study with more information on theexpected demand figures was released.Under these circumstances, any projection of the historical data was irrelevant and one ofthe bidding companies, which also operated a good part of the existing services, felt the needof calculating the expected demand with scientific tools.The analysis of the problem in question faced, fundamentally, an important lack of detail ofthe available information: As for transport supply or demand, the official information was limited to totalfigures 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, withoutdealing with other issues analyzed at the time, such as the new lines to the airport and thetime-series modeling.
PB 1222
SN 978-84-18465-12-3
YR 2021
FD 2021-07
LK http://hdl.handle.net/10259/6919
UL http://hdl.handle.net/10259/6919
LA eng
NO 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
DS Repositorio Institucional de la Universidad de Burgos
RD 04-dic-2024