skip to main content
10.1145/2757384.2757387acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
research-article

Crime Risk Evaluation in Individual's Local Community

Published:21 June 2015Publication History

ABSTRACT

Our everyday lives involve navigating in the public space. If the public space is not safe it will reduce our freedom of movement and ability to participate in school, work and public life. Awareness on the level of security and danger in our public space can help us prepare and secure the area around us. But the lack of boundaries of public space makes it difficult to assess the level of safety and designing of security. The theory suggest (Creating Defensible Space by Oscar Newman, 1976) that the more personal and individualize the space we have, the more control and influence we have of defending it. Based on this theory, we are proposing a new sociological term called "Individual's Local Community (ILC)", which addresses on the unique environment of each individual navigating the public space. ILC is designed as the smallest measurable unit crossover local communities. ILC will personalize each individual's navigation to the public space. To measure the level of danger and safety in ILC we developed an android-based mobile application that estimate the risk of being victimize of crime in specified space and time-period. To extend the concept, one resident's risk to become victim or perpetrators of crime incidents is evaluated by estimated values based on "stable" ILC and historical crime records. The evaluation system is developed as a mobile app, named as "Are You Safe". The application contains local crime maps and a GPS tracking component. Mathematical formulas are developed to evaluate the potential risk. Furthermore, a re-routing function is provided for "safer" ILC. The prototype of "Are You Safe" app is implemented and tested in the city of northwestern Pennsylvania, United States. We believe the ILC concept will enrich the study of Personal Big Data and enable us to study social science in a different level. Also the app will help residents to have a better understanding on the safety and security of their environment.

References

  1. Beck, U. 1992. Risk Society: Towards a New Modernity. London: Sage.Google ScholarGoogle Scholar
  2. Chavis DM, Wandersman A. 1990. Sense of community in the urban environment: A catalyst for participation and community development. Am J Community Psychol, 18--55.Google ScholarGoogle Scholar
  3. Sustaining Community-Based Programs for Families: Conceptualization and Measurement Jay A. Mancini, Lydia I. Marek. Family Relations, Vol. 53, No. 4 (Jul., 2004), pp. 339--419.Google ScholarGoogle Scholar
  4. Dodge, M. and Kitchin, R. 2007. Outlines of a world coming into existence: Pervasive computing and the ethics of forgetting. Environment and Planning B, 34(3):431--445.Google ScholarGoogle ScholarCross RefCross Ref
  5. Gurrin, C., Alan F. S., and Aiden R. D. 2014. Lifelogging: Personal big data. Foundations and Trends in Information Retrieval 8.1, 1--125. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Executive Office of the President. Big Data and Privacy: A Technological Perspective. (May 2014) www.whitehouse.gov.Google ScholarGoogle Scholar
  7. Bellavista, P., Kupper, A., & Helal, S. 2008. Location-based services: Back to the future. Pervasive Computing, IEEE, 7(2), 85. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Hoog, A. 2011. Android forensics: investigation, analysis and mobile security for Google Android. Elsevier. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Grover, J. 2013. Android forensics: Automated data collection and reporting from a mobile device. Digital Investigation, 10, S12-S20. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Kushwaha, A., and Kushwaha, V. 2011. Location based services using android mobile operating system. International Journal of Advances in Engineering & Technology, 1(1), 14--20.Google ScholarGoogle Scholar
  11. Shah, Sumit, et al. 2011. "Crowdsafe: crowd sourcing of crime incidents and safe routing on mobile devices." Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Crime Risk Evaluation in Individual's Local Community

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        Mobidata '15: Proceedings of the 2015 Workshop on Mobile Big Data
        June 2015
        84 pages
        ISBN:9781450335249
        DOI:10.1145/2757384
        • Program Chairs:
        • Qun Li,
        • Dong Xuan

        Copyright © 2015 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 21 June 2015

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Upcoming Conference

        MOBISYS '24
      • Article Metrics

        • Downloads (Last 12 months)5
        • Downloads (Last 6 weeks)1

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader