A volunteered geographic information system for monitoring and managing urban crimes
A case study of Tehran, Iran
Bibliographic Data
| ID | 21177933 |
|---|---|
| Authors | Mohammadreza Jelokhani-Niaraki (University of Tehran), Mohammadreza Jelokhani‐Niaraki (0000-0001-7448-7833, University of Tehran), Ramin Bastami Mofrad (Islamic Azad University, Science and Research Branch), Qiuomars Yazdanpanah Dero (University of Tehran, corresponding author), Fakhreddin Hajiloo (University of Tehran), Abolghasem Sadeghi-Niaraki (Geoinformation Technology Center of Excellence, Faculty of Geodesy & Geomatics, K.N.Toosi University of Technology, Tehran, Iran), Abolghasem Sadeghi‐Niaraki (0000-0002-0048-8216, K.N.Toosi University of Technology) |
| Year | 2020 |
| Volume | 21 |
| Issue | 6 |
| Pages | 547-561 |
| Publication date | 2020-11-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Police Practice and Research (JOURNAL) |
| Journal identifiers | ISSN: 1561-4263 • E-ISSN: 1477-271X |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/15614263.2019.1644175 |
| OpenAlex | W2963979422 |
| Language | EN |
| Citations received | 5 |
| References cited | 26 |
Crime occurrence is an ever-increasing social problem of Tehran city. Crime management for this city requires social action, public participation or community-oriented policing. In this regard, Volunteered Geographic Information (VGI) systems can be of great support to community policing efforts. By employing such systems, members of the society can act as active, intelligent, responsible, location-aware, mobile, and distributed sensors in order to monitor and report local crimes and generate crime data. Analysis of such data can be substantially helpful in crime management within Tehran. Therefore, the objective of this study is to develop a VGI-based system as a means for crime management in District # 22 of Tehran. Using this system, citizens and police departments can accurately report and analyze various information such as precise location, type, photo, date and time. Citizens’ feedbacks indicate that the system is easy-to-use (highly 55%, very highly 31%), suitable for reporting and presenting crime data (highly 90%) and reducing crime rates (highly 40%, very highly 35%), all the while providing an attractive user interface (highly 25%, moderately 45%). However, most citizens stated that the system is highly dependent in its need for prior knowledge (highly 75%). On the other hand, evaluation results by police departments show that the system facilitates the entire crime management process
Business · Community policing · Computer security · Data science · Geographic information system · Geography · Internet privacy · Management system · Operations management · Political science · Public relations · Volunteered Geographic Information · Computer Science · Data Management and Algorithms · Engineering · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis
A GIS-based decision support system for facilitating participatory urban renewal process
A Web-based Public Participation GIS for assessing the age-friendliness of cities
Addressing new challenges in smart urban planning using Information and Communication Technologies
Three Decades of GIS Application in Spatial Crime Analysis
Simultaneous Causality and the Spatial Dynamics of Violent Crimes as a Factor in and Response to Police Patrolling
Assuring the quality of volunteered geographic information
Exploring officer views of community policing in counterterrorism
The Hotspot Matrix
Predictive crime mapping
Can community policing increase residents’ informal social control? Testing the impact of the Chicago Alternative Policing Strategy
The effect of community policing on fear and crime reduction, police legitimacy and job satisfaction
GIS and Crime Mapping
A Beast in the Field
Damned If You Don't, Damned If You Do
Spatiotemporal crime analysis in U.S. law enforcement agencies
Citizens as sensors
Researching Volunteered Geographic Information
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,71 |
| Citation span | 2019 - 2024 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |