EVALUATION AND VISUALISATION OF CRIME INDICATORS IN UKRAINE
Abstract
The article is devoted to the problems of estimating the crime rates of Ukraine in different periods of time, in particular during COVID 19, before and after russia's full-scale invasion of Ukraine. Тhe special attention is focused on the visualisation of crime indicators, such as the number of crimes by severity, the number of mercenary crimes, the number of crimes against property, against life and health, etc. The article assesses the geography of crime intensity in different regions of Ukraine in 2020. The reasons for the increase in the number of criminal groups are also analysed. It describes the increased attention to persons who cooperate with the enemy in the interests of the aggressor state and the investigation of collaboration. It also describes the transfer to law enforcement agencies and referral to the court of criminal proceedings on collaborative activities, on the initiated pre-trial investigations in almost 68 thousand criminal proceedings for committing property crimes under martial law, in particular theft and robbery. The research also considered the reasons for the increase in crime. Obviously, russia's full-scale invasion of Ukraine affects. The article also describes a significant increase in the number of weapons and ammunition among the civilian population of the country, the destruction of critical infrastructure, primarily energy, the blocking of logistics channels, the destruction of the housing stock of settlements and industrial facilities, the increase in spending on military and recovery needs, the mass displacement of refugees, the increase in unemployment, as a result of the deterioration of the financial and economic well-being of the population of Ukraine. It is mentioned that investigators of the National police launched more than 56.1 thousand criminal proceedings on the facts of crimes committed in the country by servicemen of the armed forces of the russian federation, the Republic of Belarus and their accomplices. The value of the study is in the analysis of crime indicators in the context of the regions of Ukraine, as well as the visualisation of indicators that characterise different types of crimes.
References
Фіалка М. І. Показники злочинності. Вісник Асоціації кримінального права України. 2016. № 2 (7). С. 361¬367.
Свірін М. О. Злочинність та її негативні наслідки. Наука і правоохорона. 2017. 1. С.182¬189.
Вдовин М. Л., Іванчишин А. А. Кількісна характеристика злочинності та нормативно-правове регулювання боротьби з нею в Україні. Актуальні питання в сучасній науці. 2022. №1(1)22. С. 133¬144. DOI: https://doi.org/10.52058/2786-6300-2022-1(1)-133-144
Ларченко М. О. Моделювання кількісних показників злочинності за допомогою алгоритмів кластерного та канонічного аналізу. Соціологія права 2020. 1(32). С. 39¬47. DOI: https://doi.org/10.37687/2413- 6433.2020-1.7
Шевчук О. Ф. Статистичний аналіз динаміки кількості вчинених злочинів на території України у 1990-2020 роках. Актуальні питання у сучасній науці. 2023. № 2 (8). С. 268¬279. DOI:https://doi.org/10.52058/2786-6300-2023-2(8)-268-279
Шевчук О. Ф. Регресійна модель рівня злочинності на основі головного індикатора економічного розвитку України. Форум Права. 2023. № 74 (1). С. 33¬44. DOI: http://doi.org/10.5281/zenodo.7016661
Shah, N.; Bhagat, N.; Shah, M. Crime Forecasting: A Machine Learning and Computer Vision Approach to Crime Prediction and Prevention. Vis. Comput. Ind. Biomed. Art. 2021. 4, 9.
Safat, W.; Asghar, S.; Gillani, S.A. Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques. IEEE Access. 2021. 9. 70080–70094.
S. F. Tekin and S. S. Kozat. Crime prediction with graph neural networks and multivariate normal distributions. Signal Image and Video Processing. 2023. vol. 17, no. 4, pp. 1053¬1059.
G. Hajela, M. Chawla and A. Rasool. A multi-dimensional crime spatial pattern analysis and prediction model based on classification. ETRI Journal. 2021. vol. 43, no. 2, pp. 272¬287.
P. William, G. R. Lanke, D. Bordoloi, A. Shrivastava, A. P. Srivastavaa and S. V. Deshmukh, "Assessment of Human Activity Recognition based on Impact of Feature Extraction Prediction Accuracy," 2023 4th International Conference on Intelligent Engineering and Management (ICIEM), London, United Kingdom. 2023. pp. 1-6, DOI: 10.1109/ICIEM59379.2023.10166247.
Голіна В. В., Шрамко С. С. Стратегія зменшення можливостей вчинення злочинів: напрям мінімізації умов злочинних проявів. Питання боротьби зі злочинністю. 2019. Вип. 37. С.9¬21.
Вдовин М. Л. Методи статистичного моделювання економічних процесів: критичний огляд. Східна Європа: економіка, бізнес та управління. 2023. Вип. 1 (38). С. 79¬84.
Niaz, S., Jabeen, D. F., Salam, D., & Nazir, D. S. Statistical Methods in Computer Science: A Comparative Review of Inductive and Deductive Approaches. VAWKUM Transactions on Computer Sciences. 2023. 11(1), 204–216. DOI: https://doi.org/10.21015/vtcs.v11i1.1407
Офіс генерального прокурора України. Офіційна сторінка. URL: https://www.gp.gov.ua/(дата звернення: 08.12.2023)
Державна служба статистики України: веб-сайт. URL: http://www.ukrstat.gov.ua/ (дата звернення: 27.12.2023)
Стан та структура злочинності в Україні. Офіційний сайт Міністерства внутрішніх справ України. URL: http://www.mvs.gov.ua/mvs/control/main/uk/index
Міністерство соціальної політики України. URL: https://www.msp.gov.ua/(дата звернення: 01.05.2023)
Zomchak L., Drobotii Y. Regional competitiveness: clustering regions of Ukraine. Modern technologies in the development of economy and human well-being: monograph. Publishing House of University of Technology, Katowice, 2020. Р. 20¬27.
Fialka M. I. (2016) Pokaznyky zlochynnosti [Crime rates]. Visnyk Asotsiatsii kryminalnoho prava Ukrainy. vol. 2 (7). pp. 361¬367.
Svirin M. O. (2017) Zlochynnist ta yii nehatyvni naslidky [Criminality and its negative consequences]. Nauka i pravookhorona -Science and law enforcement, vol.1, pp. 182¬189 [in Ukrainian].
Vdovyn M. L., Ivanchyshyn A. A. (2022) Kilkisna kharakterystyka zlochynnosti ta normatyvno-pravove rehuliuvannia borotby z neiu v Ukraini [Quantitative characteristics of criminality and regulatory regulation of combating it in Ukraine]. Aktualni pytannia v suchasnii nautsi. vol. 1(1)22. pp. 133¬144. DOI: https://doi.org/10.52058/2786-6300-2022-1(1)-133-144
Larchenko, M. O. (2020) Modelyuvannya kilkisnykh pokaznykiv zlochynnosti za dopomohoyu alhorytmiv klasternoho ta kanonichnoho analizu [Modeling of quantitative indicators of crime using algorithms of cluster and canonical analysis]. Sotsiolohiya prava, vol. 1(32), pp. 39¬47. DOI: https://doi.org/10.37687/2413- 6433.2020-1.7
Shevchuk, O. F. (2023) Statystychnyy analiz dynamiky kilkosti vchynenykh zlochyniv na terytoriyi Ukrayiny u 1990-2020 rokakh [Statistical analysis of the dynamics of the number of crimes committed ISSN 1995-6134 44 Forum Prava, 2023. vol. 74(1). pp. 33–44 (Research Article) on the territory of Ukraine in 1990-2020]. Aktualni pytannya u suchasniy nautsi, vol. 2(8), pp. 268¬279. DOI:https://doi.org/10.52058/2786-6300-2023-2(8)-268-279
Shevchuk O. F. (2023) Rehresiina model rivnia zlochynnosti na osnovi holovnoho indykatora ekonomichnoho rozvytku Ukrainy [Crime level regression model based on the main indicator of economic development of Ukraine]. Forum Prava. vol. 74 (1). Pp. 33¬44. DOI: http://doi.org/10.5281/zenodo.7016661
Shah, N.; Bhagat, N.; Shah, M. (2021) Crime Forecasting: A Machine Learning and Computer Vision Approach to Crime Prediction and Prevention. Vis. Comput. Ind. Biomed. Art , 4, 9.
Safat, W.; Asghar, S.; Gillani, S.A. (2021) Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques. IEEE Access, 9, 70080–70094.
S. F. Tekin and S. S. Kozat (2023) Crime prediction with graph neural networks and multivariate normal distributions. Signal Image and Video Processing, vol. 17, no. 4, pp. 1053¬1059.
G. Hajela, M. Chawla and A. Rasool (2021). A multi-dimensional crime spatial pattern analysis and prediction model based on classification. ETRI Journal, vol. 43, no. 2, pp. 272¬287.
P. William, G. R. Lanke, D. Bordoloi, A. Shrivastava, A. P. Srivastavaa and S. V. Deshmukh (2023). Assessment of Human Activity Recognition based on Impact of Feature Extraction Prediction Accuracy," 2023 4th International Conference on Intelligent Engineering and Management (ICIEM), London, United Kingdom. pp. 1¬6, DOI: 10.1109/ICIEM59379.2023.10166247.
Holina V. V. & Shramko S.S. (2019). Stratehiia zmenshennia mozhlyvostei vchynennia zlochyniv: napriam minimizatsii umov zlochynnykh proiaviv [Strategy to reduce the possibility of committing crimes: the direction of minimizing the conditions of criminal acts.Pytannia borotby zi zlochynnistiu- The fight against crime, vol. 37, pp. 9¬21 [in Ukrainian].
Vdovyn, M. (2023) Metody statystychnoho modeliuvannia ekonomichnykh protsesiv: krytychnyi ohliad [Methods of statistical modeling of economic processes: a critical overview]. Skhidna Yevropa: ekonomika, biznes ta upravlinnia – Eastern Europe: economy, business and management. vol. 1 (38). pp. 79–84.
Niaz, S., Jabeen, D. F., Salam, D., & Nazir, D. S. (2023) Statistical Methods in Computer Science: A Comparative Review of Inductive and Deductive Approaches. VAWKUM Transactions on Computer Sciences. 11(1), 204–216. DOI:https: //doi.org/10.21015/vtcs.v11i1.1407
Office of the Prosecutor General of Ukraine. Official website. URL: https://www.gp.gov.ua/ (accessed:08.12.2023)
Official website. State Statistics Service of Ukraine. Available at: https://www.ukrstat.gov.ua/(accessed:27.12.2023)
The state and structure of crime in Ukraine. Official website of the Ministry of Internal Affairs of Ukraine. URL: http://www.mvs.gov.ua/mvs/control/main/uk/index
Official website. Ministry of social policy of Ukraine. URL: https://www.msp.gov.ua/(accessed: 01.05.2023)
Zomchak L., Drobotii Y. (2020) Regional competitiveness: clustering regions of Ukraine. Modern technologies in the development of economy and human well-being:monograph. Publishing House of University of Technology, Katowice. Р. 20¬27.
