Articles
Published 2024-01-30
Keywords
- technical equipment, criminal offences, tourism sphere, innovations, digitalization, victimization of tourists.
How to Cite
Vynohradova, A., Kutsenko, V., Tymchyshyn, A., Dunaievska, L., & Olkchova-Marchuk, N. (2024). Investigation of criminal offenses in the field of tourism through technical means. Amazonia Investiga, 13(73), 344–354. https://doi.org/10.34069/AI/2024.73.01.29
Abstract
Tourists are frequent victims of criminal offences, but the investigation of such crimes is usually complicated by several factors, which allow offenders to often stay unpunished. The aim of the research is to study the possibilities of using technical equipment during detection, investigation, and prevention of crimes against tourists. The research employed a doctrinal approach, a statistical method and other methods. The study identified the factors of victimization of tourists and the main scenarios under which crimes are committed. The main areas of application of technical equipment for the detection and investigation of crimes in tourism are established: the use of photo and video recording devices, traceology, weapons examination, handwriting examination, document, examination, identification of a person by appearance, phonoscopy, odourology, research of physical evidence, forensics, forensic profiling, etc. The problems of using technical equipment to detect and investigate crimes in the tourism sector are identified using the example of Ukraine, particularly the impossibility of using interrogation video footage as evidence during a judicial investigation. The obtained conclusions can be useful for optimizing the work of law enforcement agencies by providing a wide range of modern innovations to increase the effectiveness of detection and investigation of crimes in tourism.
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References
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Vakhitova, Z. I., Mawby, R. I., Helps, N., & Alston-Knox, C. L. (2023). Tourism and crime: An exploratory study of burglary from tourist accommodation from the criminal opportunity perspective. Crime & Delinquency, 69(11), 2164-2193. https://doi.org/10.1177/00111287221106962
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Xiao, J., Li, S., & Xu, Q. (2019). Video-based evidence analysis and extraction in digital forensic investigation. IEEE Access, 7, 55432-55442. https://doi.org/10.1109/ACCESS.2019.2913648
Završnik, A. (2020). Criminal justice, artificial intelligence systems, and human rights. ERA Forum, 20(4), 567-583. https://doi.org/10.1007/s12027-020-00602-0
Završnik, A. (2021). Algorithmic justice: Algorithms and big data in criminal justice settings. European Journal of Criminology, 18(5), 623-642. https://doi.org/10.1177/1477370819876762
Brayne, S., & Christin, A. (2021). Technologies of crime prediction: The reception of algorithms in policing and criminal courts. Social Problems, 68(3), 608-624. https://doi.org/10.1093/socpro/spaa004
Buhalis, D. (2020). Technology in tourism-from information communication technologies to eTourism and smart tourism towards ambient intelligence tourism: a perspective article. Tourism Review, 75(1), 267-272. https://doi.org/10.1108/TR-06-2019-0258
Buil-Gil, D., & Mawby, R. I. (2023). Do tourists report crime to the police? An exploratory analysis in Barcelona. Current Issues in Tourism, 26(18), 2931-2947. https://doi.org/10.1080/13683500.2022.2105198
Chaplynskyi, K. ?. (2022). Organization and tactics of interrogation during the investigation of criminal offenses in the field of tourism. Bulletin of the Luhansk Educational and Scientific Institute named after E. O. Didorenko, 2, 251-261. https://luhbulletin.dnuvs.ukr.education/index.php/main/article/view/92
Código de Procedimiento Penal No. 4651-VI. Liga 360, 13.04.2012. https://ips.ligazakon.net/document/T124651?an=1
EU-LISA. (2023). Eurodac. https://www.eulisa.europa.eu/Activities/Large-Scale-It-Systems/Eurodac
Eviscan. (2023). Contactless latent fingerprint detection. https://www.eviscan.com/en/
Federal Bureau of Investigation. (2023). Privacy Impact Assessment Integrated Automated Fingerprint Identification System (IAFIS)/Next Generation Identification (NGI) Biometric Interoperability. https://www.fbi.gov/
Glensor, R. W., & Peak, K. J. (2004). Crimes against tourists. ASU Center for Problem-Oriented Policing, 26. https://popcenter.asu.edu/content/crimes-against-tourists-0
Global Guardian. (2023). The most dangerous countries in the world by region: Emergency Response, Global Digest, Traveler Security, Global Intelligence. https://www.globalguardian.com/global-digest/most-dangerous-countries
Hikvision. (2023). Hikvision announces new audio product line, unveils range of network speakers. https://www.hikvision.com/en/
Hua, N., Li, B., & Zhang, T. (2020). Crime research in hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(3), 1299-1323. https://doi.org/10.1108/IJCHM-09-2019-0750
Humin, O., Zarubei, V., & Rymarchuk, O. (2018). Concerning the need for improvement of the methodology of investigating frauds and development of methods of investigation of this individual types. Baltic Journal of Economic Studies, 4(5), 63-66. https://doi.org/10.30525/2256-0742/2018-4-5-63-66
Mambetova, S., Ayaganova, M., Kalykov, A., Akhmetova, A., & Yeskerova, Z. (2021). Digital economy in tourism and hospitality industry. Journal of Environmental Management and Tourism, 11(8), 2006-2019. https://journals.aserspublishing.eu/jemt/article/view/5804
Matakovi?, H., & Cunjak Matakovi?, I. (2019). The impact of crime on security in tourism. Security and Defence Quarterly, 27(5), 1-20. https://doi.org/10.35467/sdq/115539
Myroshnychenko, V. ?., Kochetkova, ?. ?., & Makhnytskyi, V. ?. (2020). The use of video analytics in the work of the National Police. Guidelines. Dnipropetrovsk State University of Internal Affairs. https://acortar.link/4MMeaI
Nikkel, B. (2020). Fintech forensics: Criminal investigation and digital evidence in financial technologies. Forensic Science International: Digital Investigation, 33, 200908. https://doi.org/10.1016/j.fsidi.2020.200908
Numbeo. (2023). Europe: Crime index by country 2023 mid-year. https://acortar.link/B1sl5i
Pencarelli, T. (2020). The digital revolution in the travel and tourism industry. Information Technology & Tourism, 22(3), 455-476. https://doi.org/10.1007/s40558-019-00160-3
Pikkemaat, B., Peters, M., & Bichler, B. F. (2019). Innovation research in tourism: Research streams and actions for the future. Journal of Hospitality and Tourism Management, 41, 184-196. https://doi.org/10.1016/j.jhtm.2019.10.007
Stankov, U., & Gretzel, U. (2020). Tourism 4.0 technologies and tourist experiences: A human-centered design perspective. Information Technology & Tourism, 22(3), 477-488. https://doi.org/10.1007/s40558-020-00186-y
Statista. (2023). Countries with the highest number of international tourist arrivals in Europe from 2019 to 2022. https://acortar.link/LuLTNV
The Constitution of Ukraine. Verkhovna Rada of Ukraine, 01.01.2020. https://zakon.rada.gov.ua/laws/show/254?/96-??#Text
Teplytskyi, ?. ?. (2020). Technical features of forensic products during certain investigative (detective) actions during the investigation of crimes in the use of computers systems and computer networks and telecommunication networks. Juridical Science, 6(108), 248-255. https://doi.org/10.32844/2222-5374-2020-108-6-1.30
Vakhitova, Z. I., Mawby, R. I., Helps, N., & Alston-Knox, C. L. (2023). Tourism and crime: An exploratory study of burglary from tourist accommodation from the criminal opportunity perspective. Crime & Delinquency, 69(11), 2164-2193. https://doi.org/10.1177/00111287221106962
Venherova, Yu. V. (2020). The use of video recording equipment during the interrogation of persons who have committed crimes in the field of tourism: tactical and procedural aspects. In Modern Movement of Science: abstracts of the 11th International Scientific and Practical Internet Conference (?p. 114–116), October 8-9, 2020, Dnipro. http://dspace.puet.edu.ua/bitstream/123456789/9843/1/24112020.pdf#page=114
Win, K. N., Li, K., Chen, J., Viger, P. F., & Li, K. (2020). Fingerprint classification and identification algorithms for criminal investigation: A survey. Future Generation Computer Systems, 110, 758-771. https://doi.org/10.1016/j.future.2019.10.019
Xiao, J., Li, S., & Xu, Q. (2019). Video-based evidence analysis and extraction in digital forensic investigation. IEEE Access, 7, 55432-55442. https://doi.org/10.1109/ACCESS.2019.2913648
Završnik, A. (2020). Criminal justice, artificial intelligence systems, and human rights. ERA Forum, 20(4), 567-583. https://doi.org/10.1007/s12027-020-00602-0
Završnik, A. (2021). Algorithmic justice: Algorithms and big data in criminal justice settings. European Journal of Criminology, 18(5), 623-642. https://doi.org/10.1177/1477370819876762
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