CROWDSAFE: Crowd sourcing of crime incidents and safe routing on mobile devices

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2011, Pages 521-524

  Shah, Sumit ^a   Bao, Fenye ^a   Lu, Chang Tien ^a   Chen, Ing Ray ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

crime analysis; mobile interface; spatio temporal search engine

Indexed keywords

CRIME DATA; CRIME INFORMATIONS; INFORMATION NEED; LARGE GROUPS; LOCATION BASED; MOBILE APPLICATIONS; MOBILE INTERFACE; PLUG-INS; REAL TIME; SMALL GROUPS; SMART DEVICES; SPATIO-TEMPORAL; TRAFFIC PROBLEMS; USER COMMUNITIES; VALUE ADDED; WASHINGTON;

CRIME; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; MOBILE DEVICES; SEARCH ENGINES;

COMPUTER CRIME;

EID: 84856480340     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2093973.2094064     Document Type: Conference Paper

References (5)

1. Jeff Howe, Crowdsourcing: why the power of the crowd is driving the future of business. Crown Business, 2008.
2. Samuel Greengard, Following the Crowd. Communications of the ACM, February 2011: p. 20.
3. Bertrand De Longueville et al, "OMG, from here, I can see the flames!": a use case of mining location based social networks to acquire spatio-temporal data on forest fires. In Proceedings of the 2009 International Workshop on Location based Social Networks. ACM, NY, USA, 2009
4. Washington DC Crime Data. 2010; Available from: http://data.octo.dc.gov/
5. Apache Solr. http://lucene.apache.org/solr/.