A Mobile Information System Based on Crowd-Sensed and Official Crime Data for Finding Safe Routes: A Case Study of Mexico City

Joint Authors

Mata, Félix
Torres-Ruiz, Miguel
Guzmán, Giovanni
Quintero, Rolando
Zagal-Flores, Roberto
Moreno-Ibarra, Marco
Loza, Eduardo

Source

Mobile Information Systems

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-03-16

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Telecommunications Engineering

Abstract EN

Mobile information systems agendas are increasingly becoming an essential part of human life and they play an important role in several daily activities.

These have been developed for different contexts such as public facilities in smart cities, health care, traffic congestions, e-commerce, financial security, user-generated content, and crowdsourcing.

In GIScience, problems related to routing systems have been deeply explored by using several techniques, but they are not focused on security or crime rates.

In this paper, an approach to provide estimations defined by crime rates for generating safe routes in mobile devices is proposed.

It consists of integrating crowd-sensed and official crime data with a mobile application.

Thus, data are semantically processed by an ontology and classified by the Bayes algorithm.

A geospatial repository was used to store tweets related to crime events of Mexico City and official reports that were geocoded for obtaining safe routes.

A forecast related to crime events that can occur in a certain place with the collected information was performed.

The novelty is a hybrid approach based on semantic processing to retrieve relevant data from unstructured data sources and a classifier algorithm to collect relevant crime data from official government reports with a mobile application.

American Psychological Association (APA)

Mata, Félix& Torres-Ruiz, Miguel& Guzmán, Giovanni& Quintero, Rolando& Zagal-Flores, Roberto& Moreno-Ibarra, Marco…[et al.]. 2016. A Mobile Information System Based on Crowd-Sensed and Official Crime Data for Finding Safe Routes: A Case Study of Mexico City. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1111611

Modern Language Association (MLA)

Mata, Félix…[et al.]. A Mobile Information System Based on Crowd-Sensed and Official Crime Data for Finding Safe Routes: A Case Study of Mexico City. Mobile Information Systems No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1111611

American Medical Association (AMA)

Mata, Félix& Torres-Ruiz, Miguel& Guzmán, Giovanni& Quintero, Rolando& Zagal-Flores, Roberto& Moreno-Ibarra, Marco…[et al.]. A Mobile Information System Based on Crowd-Sensed and Official Crime Data for Finding Safe Routes: A Case Study of Mexico City. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1111611

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1111611