How much data is enough to track tourists? The tradeoff between data granularity and storage costs

Detalhes bibliográficos
Autor(a) principal: Pereira, Inês Correia
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/106282
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling How much data is enough to track tourists? The tradeoff between data granularity and storage costsTourism MobilityTrajectory ReconstructionCall Detail RecordsSignaling DataData SparsityDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceIn the increasingly technology-dependent world, data is one of the key strategic resources for organizations. Often, the challenge that many decision-makers face is to determine which data and how much to collect, and what needs to be kept in their data storage. The challenge is to preserve enough information to inform decisions but doing so without overly high costs of storage and data processing cost. In this thesis, this challenge is studied in the context of a collection of mobile signaling data for studying tourists’ behavioral patterns. Given the number of mobile phones in use, and frequency of their interaction with network infrastructure and location reporting, mobile data sets represent a rich source of information for mobility studies. The objective of this research is to analyze to what extent can individual trajectories be reconstructed if only a fraction of the original location data is preserved, providing insights about the tradeoff between the volume of data available and the accuracy of reconstructed paths. To achieve this, a signaling data of 277,093 anonymized foreign travelers is sampled with different sampling rates, and the full trajectories are reconstructed, using the last seen, linear, and cubic interpolations completion methods. The results of the comparison are discussed from the perspective of data management and implications on the research, especially the results of research with lower time-density mobile phone data.Zejnilović, LeidVanneschi, LeonardoRUNPereira, Inês Correia2020-10-28T14:45:03Z2020-01-072020-01-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/106282TID:202530027enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:51:20Zoai:run.unl.pt:10362/106282Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:41.361179Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv How much data is enough to track tourists? The tradeoff between data granularity and storage costs
title How much data is enough to track tourists? The tradeoff between data granularity and storage costs
spellingShingle How much data is enough to track tourists? The tradeoff between data granularity and storage costs
Pereira, Inês Correia
Tourism Mobility
Trajectory Reconstruction
Call Detail Records
Signaling Data
Data Sparsity
title_short How much data is enough to track tourists? The tradeoff between data granularity and storage costs
title_full How much data is enough to track tourists? The tradeoff between data granularity and storage costs
title_fullStr How much data is enough to track tourists? The tradeoff between data granularity and storage costs
title_full_unstemmed How much data is enough to track tourists? The tradeoff between data granularity and storage costs
title_sort How much data is enough to track tourists? The tradeoff between data granularity and storage costs
author Pereira, Inês Correia
author_facet Pereira, Inês Correia
author_role author
dc.contributor.none.fl_str_mv Zejnilović, Leid
Vanneschi, Leonardo
RUN
dc.contributor.author.fl_str_mv Pereira, Inês Correia
dc.subject.por.fl_str_mv Tourism Mobility
Trajectory Reconstruction
Call Detail Records
Signaling Data
Data Sparsity
topic Tourism Mobility
Trajectory Reconstruction
Call Detail Records
Signaling Data
Data Sparsity
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2020
dc.date.none.fl_str_mv 2020-10-28T14:45:03Z
2020-01-07
2020-01-07T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/106282
TID:202530027
url http://hdl.handle.net/10362/106282
identifier_str_mv TID:202530027
dc.language.iso.fl_str_mv eng
language eng
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