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O turismo inteligente: validação e análise da deslocação de turistas

Authors: Silva, Bruno Henrique Batista Cruz da;

O turismo inteligente: validação e análise da deslocação de turistas

Abstract

No âmbito da tese de Mestrado em Engenharia Informática, foi escrito este relatório final para descrever os principais objetivos do projeto, as tarefas que foram realizadas, o plano de trabalhos que foi cumprido, assim como, uma análise às tarefas que ficaram por cumprir, às limitações encontradas e ao trabalho futuro. Com o crescimento contínuo do turismo, a indústria do turismo procura formas para que o movimento dos turistas numa cidade não fique dependente de atrasos nos transportes, isto para ajudar os turistas a manterem-se em movimento e aumentarem a sua satisfação, sendo esta a principal motivação deste trabalho. O movimento de turistas numa cidade segue padrões determinados pelos pontos de interesse a visitar, ao contrário dos habitantes cujas deslocações são essencialmente determinadas pelo local de trabalho e de residência. Por esta razão, o movimento dos turistas é mais variável e é importante perceber estas alterações em tempo útil. Para cumprir o que se propõe, neste trabalho pretende-se desenvolver um conjunto de otimizações e novas funcionalidades, a integrar numa aplicação móvel responsável pela venda de reservas para transportes turísticos. As reservas passarão a ser validadas com auxílio da tecnologia QR Code, que oferecerá uma maior eficiência e controlo na validação das mesmas. Para além disto será desenvolvida uma aplicação destinada aos turistas, que tira partido da tecnologia GPS e BLE e torna, assim, a utilização dos transportes turísticos mais satisfatória. Com base em inputs operacionais, nomeadamente a localização das vendas das reservas e a localização dos turistas na proximidade das paragens, iremos oferecer uma camada que tenha uma visão global da presença/procura de turistas numa cidade, recorrendo a business intelligence (BI) e multi-sensing.

In the scope of the Master thesis in Informatics Engineering, this final report was written to describe the main objectives of the project, the tasks that were carried out, the work plan that was accomplished, as well as an analysis of the tasks that remained unfulfilled, the limitations encountered and future work. As tourism continues to grow, the tourism industry is looking for ways in which the movement of tourists in a city is not affected by transport delays. The main motivation of this work is to help tourists keep moving and to increase their satisfaction. The movement of tourists in a city follows patterns determined by the points of interest to visit, unlike the inhabitants whose journeys are essentially determined by the place of work and residence. For that reason, the movement of tourists is more variable, and it is important to realize these changes in a timely manner. To fulfil what is proposed, this work intends to develop a set of optimizations and new features, to be integrated in a mobile application responsible for the sale of reservations for tourist transport. Reservations are now validated using the QR Code technology, which offers greater efficiency and control in their validation. In addition, an application for tourists takes advantage of GPS and BLE to ensure movement of tourists is done smoothly and, thus, making tourist transport more satisfying. Based on operational inputs, specifically the location of reservation sales and the presence of tourists near the stops, we offer a layer that has an overall view of tourist presence/demand in a city, using business intelligence and multi-sensing.

Trabalho de projecto de mestrado, Engenharia Informática (Engenharia de Software) Universidade de Lisboa, Faculdade de Ciências, 2019

Country
Portugal
Related Organizations
Keywords

Departamento de Informática, GPS, Multi-sensing, BLE, Trabalhos de projecto - 2019, Turistas, QR Code, Informação de localização, Mobilidade, Business intelligence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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