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.
@inproceedings{DBLP:conf/istas/HamiltonSCC11,
author = {Margaret Hamilton and
Flora Dilys Salim and
Eva Cheng and
Sue Lynn Choy},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/istas/HamiltonSCC11.bib},
booktitle = {2011 IEEE International Symposium on Technology and Society, ISTAS
2011, Chicago, IL, USA, May 23-25, 2011},
doi = {10.1109/ISTAS.2011.7160600},
pages = {1--6},
publisher = {IEEE},
timestamp = {Wed, 16 Oct 2019 14:14:53 +0200},
title = {Transafe: a crowdsourced mobile platform for crime and safety perception
management},
url = {https://doi.org/10.1109/ISTAS.2011.7160600},
year = {2011}
}
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