TY - GEN
T1 - Community Safety Well-Being and Touristic Spots
T2 - 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020
AU - Assis, Dineu
AU - Neto, Miguel de Castro
AU - Motta, Marcel
N1 - 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
PY - 2020/8/18
Y1 - 2020/8/18
N2 - 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.
AB - 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.
KW - community safety
KW - data mining
KW - smart cities
KW - tourism
KW - urban analytics
KW - well-being
UR - http://www.scopus.com/inward/record.url?scp=85097591792&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000648752100023
U2 - 10.1109/ICSGSC50906.2020.9248556
DO - 10.1109/ICSGSC50906.2020.9248556
M3 - Conference contribution
AN - SCOPUS:85097591792
T3 - 4th International Conference on Smart Grid and Smart Cities, ICSGSC 2020
SP - 136
EP - 144
BT - 2020 4th International Conference on Smart Grid and Smart Cities (ICSGSC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
Y2 - 18 August 2020 through 21 August 2020
ER -