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  1. ACM SIGCAS Computers and Society (CSOC)
  2. Volume 41
  3. Volume 41, Issue 2, December 2011
  4. Transafe
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Volume 47
Volume 46
Volume 45
Volume 44
Volume 43
Volume 42
Volume 41
Volume 41, Issue 2, December 2011
Factors influencing college students' confidence in using electronic books as learning tools
What FarmVille can teach us about cooperative workflows and architectures
Transafe
An interdisciplinary approach to address identity theft education
Improving classroom visual accessibility with cooperative smartphone recordings
Volume 41, Issue 1, October 2011
Volume 40
Volume 39
Volume 38
Volume 37
Volume 36
Volume 35
Volume 34
Volume 33
Volume 32
Volume 31
Volume 30
Volume 29
Volume 28
Volume 27
Volume 26
Volume 25
Volume 24
Volume 23
Volume 22
Volume 21
Volume 20
Volume 19
Volume 18
Volume 16-17
Volume 16
Volume 14,15
Volume 15
Volume 13, 14
Volume 13
Volume 12
Volume 11
Volume 10
Volume 9
Volume 8
Volume 7
Volume 6
Volume 5
Volume 4
Volume 3
Volume 1

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Transafe: a crowdsourced mobile platform for crime and safety perception management

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Transafe:a crowdsourced mobile platform for crime and safety perception management

Content Provider ACM Digital Library
Author Cheng, E. Choy, S. L. Salim, F. Hamilton, M.
Abstract An earlier version of this paper was presented at the 2011 IEEE International Symposium on Technology and Society (ISTAS) at Saint Xavier University in Chicago, Illinois (and printed in the 2011 ISTAS proceedings). This paper describes a proposed mobile platform, Transafe, that captures and analyses public perceptions of safety to deliver 'crowdsourced' collective intelligence about places in the City of Melbourne, Australia, and their affective states at various times of the day. Public perceptions of crime on public transport in Melbourne are often mismatched with actual crime statistics and such perceptions thus can act as social barriers to visitors and locals traversing within and through the city. Using interactive mobile applications and social media, the visualization of this crowdsourced safety perception information will increase the commuter's awareness of various situations in the City of Melbourne. In addition, through social behavioral analysis and ethnographic research, the collective public intelligence will also help inform the stakeholders of the city for future policy-making and policing strategies for safety perception management. At the centre of the proposed platform is the design and development of a mobile phone application that can contribute to people feeling safer by supporting users to report crimes and misdemeanors that they witness, and provide information about transportation and emergency services around where the users are located. The proposed application can also act as a crime deterrent with one feature that enables user tracking by up to three nominated friends if the user opts to activate tracking when feeling unsafe while roaming the city.
Starting Page 32
Ending Page 37
Page Count 6
File Format PDF
ISSN 00952737
DOI 10.1145/2095272.2095275
Journal ACM SIGCAS Computers and Society (CSOC)
Volume Number 41
Issue Number 2
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-05-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Crowdsourcing Safety perception Crime perception Mobile application
Content Type Text
Resource Type Article
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