Please use this identifier to cite or link to this item: http://hdl.handle.net/10362/111113
Title: Community Safety Well-Being and Touristic Spots
Author: Assis, Dineu
Neto, Miguel de Castro
Motta, Marcel
Keywords: community safety
data mining
smart cities
tourism
urban analytics
well-being
Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Waste Management and Disposal
Water Science and Technology
SDG 11 - Sustainable Cities and Communities
SDG 7 - Affordable and Clean Energy
Issue Date: 18-Aug-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract: When 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.
Description: 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/ICSGSC50906.2020.9248556
Peer review: yes
URI: http://hdl.handle.net/10362/111113
DOI: https://doi.org/10.1109/ICSGSC50906.2020.9248556
ISBN: 9781728194042
Appears in Collections:NIMS: MagIC - Documentos de conferências internacionais

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