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Does Crime Activity Report Reveal Regional Characteristics?

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Book cover Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019 (IMCOM 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 935))

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Abstract

Crime is one of the most important social problems for administrative region. Ascertaining the detailed characteristics of crime and preparing countermeasures are important to keep community life safe and secure. A lot of studies using crime data and geographical data have been carried out with a view to crime prevention. These studies include analyzing geographical features of crime, mapping crime-related information and crime hotspots on the map, predicting crime rate and so on. In addition, police stations have recently begun emailing notifications regarding crime to citizens to help them avoid crime. The e-mail messages include rich information about regional crime; they are actively used by services providing guidance to people in how to avoid crime. These services map the messages onto regional maps using the location information in the messages and show the relations between the locations and crime on the map. In addition, some services send alarms to their users when the GPS information of the users indicates that they are passing by the places where crime has occurred. However, these services only use the location and crime information extracted from the messages. Thus, we cannot say the messages have been fully used to clarify characteristics of regional crime. Therefore, in this paper, we investigate whether or not the crime messages sent by e-mail can be further exploited as a valid source for analyzing the criminal characteristics of a region, i.e., whether or not they include the characteristics of regional crime. To this end, in this research, we conducted experiments to make clear whether or not the crime messages sent by e-mail can help to distinguish regions. Experimental results illustrate that the contents of e-mail crime messages helped to distinguish regions having greater than or equal to 100 reports, with an average F-measure of about 90.3%, while only using the names of the areas where crime has occurred cannot match that F-measure.

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Notes

  1. 1.

    https://ja.foursquare.com/dev/overview/venues.

  2. 2.

    http://ascii.jp/elem/000/001/493/1493358/.

  3. 3.

    http://www.appbank.net/2016/03/05/iphone-application/1175390.php.

  4. 4.

    http://www.police.pref.fukuoka.jp/fukkei-mail/mailmg.html.

  5. 5.

    https://ckan.open-governmentdata.org/dataset/fukkeimail (As of Jun 21, 2018).

  6. 6.

    http://taku910.github.io/mecab/.

  7. 7.

    http://www.cs.cornell.edu/people/tj/svm_light/svm_perf.html.

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Acknowledgement

This work was partially supported by JSPS KAKENHI Grant No. JP15H05708, JP16H02926, JP17H01843, and JP18K18656.

Author information

Authors and Affiliations

  1. Department of Advanced Information Technology, Faculty of Information Systems and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan

    Tsunenori Mine

  2. Research Institute for Information Technology, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan

    Sachio Hirokawa & Takahiko Suzuki

Authors
  1. Tsunenori Mine
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  2. Sachio Hirokawa
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  3. Takahiko Suzuki
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Corresponding author

Correspondence to Tsunenori Mine .

Editor information

Editors and Affiliations

  1. Intelligent Systems Research Institute, Sungkyunkwan University, Suwon, Korea (Republic of)

    Sukhan Lee

  2. Software Engineering, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia

    Roslan Ismail

  3. College of Software, Sungkyunkwan University, Suwon, Korea (Republic of)

    Hyunseung Choo

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Mine, T., Hirokawa, S., Suzuki, T. (2019). Does Crime Activity Report Reveal Regional Characteristics?. In: Lee, S., Ismail, R., Choo, H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-19063-7_46

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