Designing a mobile system for public safety using open crime data and crowdsourcing

Yun Huang, Yang Wang, Corey White

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With more cities opening up crime data and the proliferation of participatory sensing, we explore ways to improve public safety of a local community by using open crime data and crowdsourcing. We first conducted an online survey to better understand the public safety needs of the Syracuse University (SU) community. Inspired by the survey results, we developed and deployed an Android mobile app in collaboration with the Department of Public Safety (DPS) at SU; the app integrates published safety incidents on a Google Map and SU campus alerts. We present our experience of co-designing this system with the DPS, challenges and experience of our initial app release. To design effective crowdsourcing of public safety information, we conducted a lab experiment to investigate what factors affect people's sharing decisions. The results suggest that both time of day and type of location significantly affect people's sharing decisions. These insights inform a re-design of our system to "nudge" people to report safety related information timely.

Original languageEnglish (US)
Title of host publicationUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages67-70
Number of pages4
ISBN (Print)9781450330473
DOIs
StatePublished - 2014
Event2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
Duration: Sep 13 2014Sep 17 2014

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
CountryUnited States
CitySeattle
Period9/13/149/17/14

Fingerprint

Crime
Application programs

Keywords

  • Crowdsourcing
  • Mobile app
  • Public safety

ASJC Scopus subject areas

  • Software

Cite this

Huang, Y., Wang, Y., & White, C. (2014). Designing a mobile system for public safety using open crime data and crowdsourcing. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 67-70). Association for Computing Machinery, Inc. https://doi.org/10.1145/2638728.2638762

Designing a mobile system for public safety using open crime data and crowdsourcing. / Huang, Yun; Wang, Yang; White, Corey.

UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. p. 67-70.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Huang, Y, Wang, Y & White, C 2014, Designing a mobile system for public safety using open crime data and crowdsourcing. in UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, pp. 67-70, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014, Seattle, United States, 9/13/14. https://doi.org/10.1145/2638728.2638762
Huang Y, Wang Y, White C. Designing a mobile system for public safety using open crime data and crowdsourcing. In UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc. 2014. p. 67-70 https://doi.org/10.1145/2638728.2638762
Huang, Yun ; Wang, Yang ; White, Corey. / Designing a mobile system for public safety using open crime data and crowdsourcing. UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. pp. 67-70
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