@inproceedings{MTMT:36452711,
	title = {Testing the Detection of Road Surface Defects Using Machine Learning Methods},
	url = {https://m2.mtmt.hu/api/publication/36452711},
	author = {Einger, Gergő and Böröcz, Balázs and Katona, János and Pődör, Andrea},
	booktitle = {IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI 2025) : Proceedings},
	doi = {10.1109/CINTI67731.2025.11311798},
	unique-id = {36452711},
	year = {2025},
	pages = {173-177},
	orcid-numbers = {Katona, János/0000-0002-0948-7017; Pődör, Andrea/0000-0002-8534-9361}
}

@article{MTMT:36273236,
	title = {Time's Effect on Crime Prediction Precision and Accuracy},
	url = {https://m2.mtmt.hu/api/publication/36273236},
	author = {Harmati, Barbara and Pődör, Andrea and Tick, Andrea},
	doi = {10.12700/APH.22.8.2025.8.10},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {22},
	unique-id = {36273236},
	issn = {1785-8860},
	abstract = {Crime detection with high prediction and accuracy has become a focused issue in
		the process of crime investigation and prevention. The higher the accuracy or precision of a
		crime detection model the more efficient crime investigation and prevention becomes.
		The present research aims to examine the possible precision and accuracy differences of
		using two different test datasets (TD) to calculate the predictive accuracy index (PAI), and
		the recapture rate index (RRI) for kernel density estimation (KDE), risk terrain modeling
		(RTM) and the combined RTM–KDE model. The present study focuses on theft and robbery
		cases of between 1 December 2015 and 30 November 2018 in Budapest, Hungary.
		The novelty of the research lies in its first-time usage in Budapest, in a Central European
		evolutionary urban structure. The results show that there are differences in prediction
		performance and in each model using a Test Dataset (TD) more distant in time from the
		initial dataset resulted in a more accurate prediction. The research proved that datasets with
		different time distances can have an impact on the predictive accuracy and precision of crime
		detection.},
	keywords = {Geoinformatics; Kernel Density Estimation; Evolutionary urban structure; Predictive accuracy index; Recapture rate index},
	year = {2025},
	eissn = {1785-8860},
	pages = {157-177},
	orcid-numbers = {Pődör, Andrea/0000-0002-8534-9361; Tick, Andrea/0000-0002-3139-6509}
}

@article{MTMT:36384884,
	title = {Are Places Where People Feel Safe or Unsafe Similar to Spatial Crime Patterns? Extracting the Collective Truth of the Spatial Crime Perception Gap Using Digital Sketch Maps},
	url = {https://m2.mtmt.hu/api/publication/36384884},
	author = {Kounadi, Ourania and Vallejo-Velázquez, Mariana and Huang, Qilei and Pődör, Andrea},
	doi = {10.3390/urbansci9100397},
	journal-iso = {URBAN SCI},
	journal = {URBAN SCIENCE},
	volume = {9},
	unique-id = {36384884},
	abstract = {This study examines the spatial crime perception gap (SCPG), the mismatch between perceived and actual crime, which can lead to unnecessary avoidance behaviors, anxiety, or lack of vigilance. While few studies have explored this phenomenon from a spatial perspective, this research analyses the collective spatial perception of safety and unsafety in Vienna and Budapest and compares them with recorded crime patterns. Using a digital sketch map survey tool, 656 participants identified safe and unsafe areas as well as their daily routes. The responses were analyzed using spatial analytical and statistical methods to delineate the perception gaps in space, which were also diversified by crime type aggregations, including all crimes, violent crimes, property crimes, and visible crimes. Distance-based analyses were also conducted to examine the “spatial diffusion” and “spatial endowment” effects. The results show that many areas that are perceived as unsafe are not statistical crime hotspots. Perception aligns more closely with violent crime patterns than with property or visible crimes. The spatial diffusion effect illustrates that crime hotspots may influence and expand the perception of unsafety in adjacent and nearby areas. The spatial endowment effect suggests that people are more likely to perceive an area as unsafe if it is further away from their activity spaces, while overlooking crime hotspots that may intersect with it. These patterns were consistent across both cities, although the perception gap was larger in Budapest, while the endowment effect was more pronounced in Vienna. By highlighting where and how perception diverges from reality, this study provides insights that can inform strategies to reduce unfounded fear and strengthen the perceived safety and psychological resilience of urban populations.},
	year = {2025},
	eissn = {2413-8851},
	orcid-numbers = {Kounadi, Ourania/0000-0002-5998-7343; Pődör, Andrea/0000-0002-8534-9361}
}

@article{MTMT:36361181,
	title = {Surveillance and Subjectivity: A GIS-Based Study of Fear of Crime and CCTV Distribution},
	url = {https://m2.mtmt.hu/api/publication/36361181},
	author = {Pődör, Andrea and Tick, Andrea},
	doi = {10.12700/APH.22.12.2025.12.14},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {22},
	unique-id = {36361181},
	issn = {1785-8860},
	year = {2025},
	eissn = {1785-8860},
	pages = {197-214},
	orcid-numbers = {Pődör, Andrea/0000-0002-8534-9361; Tick, Andrea/0000-0002-3139-6509}
}

@inproceedings{MTMT:36384889,
	title = {A városi bűncselekményi gócpontok felszámolásának hatása a bűnözéstől való félelem térbeli mintázatára},
	url = {https://m2.mtmt.hu/api/publication/36384889},
	author = {Pődör, Andrea and Ourania, Kounadi and Mariana, Vallejo Velázquez},
	booktitle = {Az elmélet és a gyakorlat találkozása a térinformatikában XVI.},
	unique-id = {36384889},
	year = {2025},
	pages = {&},
	orcid-numbers = {Pődör, Andrea/0000-0002-8534-9361}
}

@inproceedings{MTMT:36452951,
	title = {Integrating Human Perception and AI: A Random Forest Approach to Urban Safety},
	url = {https://m2.mtmt.hu/api/publication/36452951},
	author = {Pődör, Andrea and Ourania, Kounadi and Mariana, Vallejo Velázquez and Böröcz, Balázs and Molnár, Gábor},
	booktitle = {IEEE 25th International Symposium on Computational Intelligence and Informatics (CINTI 2025) : Proceedings},
	unique-id = {36452951},
	year = {2025},
	pages = {259-263},
	orcid-numbers = {Pődör, Andrea/0000-0002-8534-9361; Molnár, Gábor/0000-0001-9309-3418}
}

@article{MTMT:36849709,
	title = {Assessing the Usability and Suitability of Area Mapping Tools for Capturing Spatial Perception and Knowledge},
	url = {https://m2.mtmt.hu/api/publication/36849709},
	author = {Vallejo-Velazquez, Mariana and Kounadi, Ourania and Pődör, Andrea},
	doi = {10.1080/00087041.2025.2592376},
	journal-iso = {CARTOGR J},
	journal = {CARTOGRAPHIC JOURNAL},
	unique-id = {36849709},
	issn = {0008-7041},
	keywords = {Usability test; participatory mapping; Human sensing; mapping tools; Geo-questionnaires; SoftGIS},
	year = {2025},
	eissn = {1743-2774},
	orcid-numbers = {Pődör, Andrea/0000-0002-8534-9361}
}

@inproceedings{MTMT:35168238,
	title = {Communicating crimes with maps to citizens},
	url = {https://m2.mtmt.hu/api/publication/35168238},
	author = {Bói, László and Pődör, Andrea and Mátyás, Szabolcs and Kis, Balint},
	booktitle = {Proceedings of the Central and Eastern European eDem and eGov Days 2024},
	doi = {10.1145/3670243.3673860},
	unique-id = {35168238},
	abstract = {The scholarly investigation delves into a subject that has garnered limited attention: the dissemination of criminal activities through cartographic representations. Despite the ubiquitous presence of maps in various media outlets such as crime reports, newspapers, television, and online platforms, scholarly inquiry into this matter remains scant. Maps have long served as a conventional method of visual display within the field of criminal sciences, yet divergent viewpoints persist regarding their dissemination. While proponents advocate for the publication of crime maps, contending that they facilitate public awareness, others caution against their dissemination, citing potential misinterpretations. The primary objective of the study is to elucidate strategies for effectively presenting and communicating crime-related information to the general populace. Furthermore, the investigation endeavors to delineate the advantages and drawbacks associated with the publication of crime maps},
	keywords = {communication; criminal geography; crime mapping},
	year = {2024},
	pages = {187-194},
	orcid-numbers = {Bói, László/0000-0001-7784-3215; Pődör, Andrea/0000-0002-8534-9361; Mátyás, Szabolcs/0000-0001-9529-7596; Kis, Balint/0009-0005-5171-3494}
}

@inproceedings{MTMT:35577650,
	title = {AI-supported Visual Lisp Programming in Geoinformatics},
	url = {https://m2.mtmt.hu/api/publication/35577650},
	author = {Katona, János and Pődör, Andrea},
	booktitle = {AIS 2024 - 19th International Symposium on Applied Informatics and Related Areas - Proceedings},
	unique-id = {35577650},
	year = {2024},
	pages = {71-74},
	orcid-numbers = {Katona, János/0000-0002-0948-7017; Pődör, Andrea/0000-0002-8534-9361}
}

@inproceedings{MTMT:35392064,
	title = {Advanced Visualization of Seismic Activity in the Vértes Mountain Region Post-M4.5 Mainshock},
	url = {https://m2.mtmt.hu/api/publication/35392064},
	author = {Kiszely, Márta and Pődör, Andrea},
	booktitle = {IEEE 22nd International Symposium on Intelligent Systems and Informatics (SISY 2024)},
	doi = {10.1109/SISY62279.2024.10737552},
	unique-id = {35392064},
	year = {2024},
	pages = {527-532},
	orcid-numbers = {Pődör, Andrea/0000-0002-8534-9361}
}