Talk Description
Institution: Monash University - VIC, Australia
Results from the 2010 General Social Survey, published by the Australian Bureau of Statistics, reported that only 48% of adults feel either safe, or very safe, walking alone in their local area at night. Moreover, men are more likely to feel safe or very safe than women (i.e., 68% compared to 29%). While there exist a number of inventions intended to protect female pedestrians from harassment or harm inflicted by miscreants while out walking, many of these aids are reactive. In an ideal world, such incidents would be entirely prevented from occurring, rather than reacted to once the harm has been done. In our research, we have therefore sought to develop a preventive approach toward the safety of pedestrians when walking at night. Our resulting application is called, “Herd Routes”. Herd Routes is voluntary to use, takes inspiration from distributed ledger technology and the Internet-of-Things, and seeks to incentivise trusted system users to utilise predetermined walking routes through a city. Trusted system users walking predetermined routes, as opposed to their original paths, has the potential to create a 'safety in numbers' effect, and thus disincentivise opportunistic miscreants from attempting to harass or cause harm. We suggest that incentivisation to utilise predetermined routes could be offered in the form of tokens, to spent on coffee vouchers, or free parking, for instance. It is anticipated that tokens could be funded by local councils and/or businesses. Our preliminary simulation results demonstrate the efficacy of Herd Routes.