Community Safety Well-Being and Touristic Spots: A Model Proposal to Correlate Safe Places and Touristic Spots Based in Open Data

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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.

Original languageEnglish
Title of host publication2020 4th International Conference on Smart Grid and Smart Cities (ICSGSC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages136-144
Number of pages9
ISBN (Electronic)9781728194042
DOIs
Publication statusPublished - 18 Aug 2020
Event4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020 - Osaka, Japan
Duration: 18 Aug 202021 Aug 2020

Publication series

Name4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020

Conference

Conference4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020
Country/TerritoryJapan
CityOsaka
Period18/08/2021/08/20

Keywords

  • community safety
  • data mining
  • smart cities
  • tourism
  • urban analytics
  • well-being

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