Ms. Atut Pindarwati Profile

Atut Pindarwati

at BPS - Statistics Indonesia

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Proceedings Article | 21 November 2019 Open Access

Personalized safety route recommender application using integrated urban crime hotspot data

Atut Pindarwati, Arie Wahyu Wijayanto

Proceedings Volume 11311, 1131105 (2019) https://doi.org/10.1117/12.2547331

KEYWORDS: Safety, Web 2.0 technologies, Roads, Visualization, Databases, Computer programming, System integration, Heart, Information visualization, Algorithm development

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In a modern urban society with a high demand for mobilization, location-based personal navigation service plays a fundamental role in daily activities. With the help of real-time and accessible GPS technology, online navigation service such as Google Map and Street View have become more important and increasingly popular. Being designed for simplicity and scalability, most of these current service will suggest routes based on the fastest travel time or the shortest distance to a destination. However, in developing countries such as Indonesia, which is still struggling with crime rate issue, the requirement for safety become an undoubtedly crucial factor for human mobility. In this paper, we propose an integrated web-based system using the crime hotspot area based on crime history from the local government agency, existing geotagged social media crime news and user reported data. The users could further involve and contribute by reporting their personal safety experience to increase the recommendation accuracy in the future. Build on the free and opensource GraphHopper Routing API, our proposed personalized user feature also include rerouting option and crime contour map. We focus on Jakarta area as our case study, which served as the heart of citizen activity in Indonesia. The key result of the proposed framework is a personal navigation map that recommends the safest route to the user which bypass potential crime-prone areas.

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