Publications by Ioannis Ioannidis
Peer reviewed
Articles
[1]
V. Ceccato, I. Ioannidis and M. Felson, "Graffiti in pedestrian tunnels : A comparison of police records and crowdsourced data in Stockholm, Sweden," Tunnelling and Underground Space Technology, vol. 159, 2025.
[2]
V. Ceccato, I. Ioannidis and M. Felson, "Tunnels in the urban fabric : balancing connectivity and safety," Urban, Planning and Transport Research, vol. 13, no. 1, 2025.
[3]
I. Ioannidis et al., "Using remote sensing data to derive built-form indexes to analyze the geography of residential burglary and street thefts," Cartography and Geographic Information Science, vol. 52, no. 3, pp. 259-275, 2025.
[4]
V. Ceccato and I. Ioannidis, "Using Remote Sensing Data in Urban Crime Analysis : A Systematic Review of English-Language Literature from 2003 to 2023," International Criminal Justice Review, 2024.
[5]
V. Ceccato, I. Ioannidis and M.-M. Magnusson, "Searching for Situational Patterns in Cannabis Dealing, Possession and Use in a Scandinavian Context," International Criminology, 2023.
Non-peer reviewed
Theses
[6]
I. Ioannidis, "Understanding crime patterns using spatial data analysis : Case studies in Stockholm, Sweden," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-ABE-DLT, 2423, 2024.
Reports
[7]
V. Ceccato and I. Ioannidis, "Brott i tunnlar : Kriminogena egenskaper hos tunnlar i stadsmiljöer," Stockholm : KTH Royal Institute of Technology, TRITA-ABE-RPT, 2419, 2024.
[8]
V. Ceccato, I. Ioannidis and G. Gliori, "Cannabisbruk och langning i Stockholms län : Situationella mönster och samhällskonsekvenser," Stockholm, TRITA-ABE-RPT, 223, 2022.
Other
[9]
I. Ioannidis et al., "Prediction of crimes using environmental features in Stockholm," (Manuscript).
[10]
I. Ioannidis et al., "Using Random Forest classification on remotely sensed data to predict criminogenic environments," (Manuscript).
Latest sync with DiVA:
2025-06-15 00:30:40 UTC