Community Safety and Well-being in Touristic Spots Using Open Data

Assis, D., De Castro Neto, M., & Motta, M. (2021). Community Safety and Well-being in Touristic Spots Using Open Data. International Journal of Modeling and Optimization, 11(1), 1-11. https://doi.org/10.7763/IJMO.2021.V11.770There are many different reasons that can lead a tourist to decide which destination will be chosen on his/her next trip. Besides knowing what are the attractions that must be visited, it is also common to look for more information regarding the overall safety and well-being conditions of travel destinations. Usually shared by local authorities, this kind of information can also be found in a less structured form through public sources, such as web sites and social platforms. However, there are a couple of challenges to be considered: the predominance of unstructured data; the lack of a common standard to distinguish safe and unsafe places; the distinct period needed to update the collected data. In this study, the proposed model combines official census data with open data, social platforms and other online sources, allowing the definition of a score for touristic spots in Lisbon. The resulting score should be able to quantify the community safety and well-being, as well as to identify threats and opportunities for the local tourism industry. Furthermore, it would not only help tourists in their traveling decisions but also, allow decision-makers to track socioeconomic issues and to support public management through a data-driven approach.publishersversionpublishe

Índices de segurança comunitária e pontos turísticos: uma proposta de modelo para correlacionar locais seguros e pontos turísticos a partir de dados abertos

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceSão muitas as decisões que auxiliam na escolha de um destino turístico. Geralmente, além de saber quais são os pontos que devem ser visitados, é comum também buscar alguma informação sobre as condições de segurança e acesso do lugar, bairro, cidade ou, em um caso mais específico, do próprio país de destino. Geralmente, esse tipo de informação é encontrado de forma estruturada em fontes oficiais de dados abertos (embora aceitar ou recusar a disponibilização desses dados seja uma decisão dos governos) e de forma menos estruturada por meio da consulta pública de sítios na web. No entanto, a informação existe - mais em uma forma textual - há uma falta de um padrão comum para definir locais seguros e inseguros. Neste documento, o modelo proposto combina dados abertos e outros conteúdos de sites que, após passarem por um processo de classificação, permitirão a definição de uma pontuação. Ao fim, os dados consolidados serão oferecidos também como uma fonte de dados abertos, dando a chance de não apenas ajudar os turistas em suas decisões de viagem, mas também, por outro lado, dar informações suficientes ao governo para lidar melhor com as questões segurança e acessibilidade.There are many decisions in place that can help to choose a tourism destiny. Besides knowing what are the attractions that must be visited, it is also common to look for some information regarding the safety conditions of the supposed place, neighborhood, city or in a more specific case, the destined country itself. This kind of information is usually found in a structured way at official Open Data sources and in a less structured form through the public collection of web sites. Even though the information exists – most in a textual form - there is a lack of a common standard to define safe from unsafe places. In this document, the proposed model combines open data, social networks and other web sites contents that after passing through a classification process will allow the definition of a score. In the end, the consoled will also be offered as an open data resource, allowing tourists to be assisted in their traveling decisions and also the government to evaluate and improve the tourist experience

A Model Proposal to Correlate Safe Places and Touristic Spots Based in Open Data

Assis, D., Castro Neto, M. D., & Motta, M. (2020). Community Safety Well-Being and Touristic Spots: A Model Proposal to Correlate Safe Places and Touristic Spots Based in Open Data. In 2020 4th International Conference on Smart Grid and Smart Cities (ICSGSC) (pp. 136-144). [9248556] (4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSGSC50906.2020.9248556When choosing a tourism destiny, besides knowing what are the attractions that must be visited, it is also common to look for some information regarding the safety conditions of the supposed place, neighborhood, city or in a more specific case, the destined country itself. This kind of information is usually found in a structured way at official Open Data sources (although is a governmentdecision to accept or refuse to offer this data) and in a less structured form through the public collection of web sites. However, the information exists - most in a textual form - there is a lack of a common standard to define safe from unsafe places. In this document, the proposed model combines open data, social networks and other web sites contents that after passing through a classification process will allow the definition of a score. When it becomes ready, the consoled will also be offered as an open source, giving a chance to not only help tourists in their traveling decisions but also, in the other hand, give government enough information to better deal with safety and accessibility issues.authorsversionpublishe