ISSN: 2222-6990
Open access
Crime has been one of the most significant and interesting issues to be highlighted, both locally and internationally. Due to the crime rate, crime has become a severe concern in all communities, affecting the quality of life based on weather changes. Humans have the right to get a good quality of life and security. However, research regarding the quality of life towards the relationship between crime and weather changes is quite challenging because there is still a lack of references regarding the topic. There is still insufficient research that have comprehensively explored the relationship between criminal behaviour and quality of life based on weather fluctuations. Therefore, this study aims to conduct a systematic literature review on the relationship between criminal behaviour and weather changes towards the quality of life. This study's methodology incorporated numerous research designs, and its evaluation was based on the ROSES publication standard (Reporting Standard for Systematic Evidence Synthesis). This study selected papers from three databases: Scopus, Web of Science, and Google Scholar. The review process includes four main methodological steps, guided by review protocol, searching strategies based on identification, screening, and eligibility, followed by quality of appraisal, data abstraction, and analysis. Three themes were found based on thematic analysis: (a) crime, (b) weather, and (c) quality of life contribute to creating a relationship between criminal behaviour and weather changes towards the quality of life. This study found that criminal behaviour is related to the quality of life based on weather changes. The significant findings explained the study exploits the correlation and significance of the relationship between crime based on weather and the indicator of the quality-of-life domain. It shows the previous studies are insufficient for identifying the correlation between the quality of life and crime based on weather changes. Furthermore, weather change has an indirect link to criminal behaviour. However, there is still a limitation of study on previous papers on the relationship between criminal behaviour and quality of life-based on weather changes. The study would like to propose future research focus on crime prediction using a different approach, such as crime prediction of the criminal acts based on weather and how it affects the quality of life of people and communities.
Agnew, R. (2012). Dire forecast: A theoretical model of the impact of climate change on crime. Theoretical Criminology, 16(1), 21–42. https://doi.org/10.1177/1362480611416843
Bracy, N. L., Millstein, R. A., Carlson, J. A., Conway, T. L., Sallis, J. F., Saelens, B. E., King, A. C. (2014). Is the relationship between the built environment and physical activity moderated by perceptions of crime and safety? International Journal of Behavioral Nutrition and Physical Activity, 11(1), 1–13. https://doi.org/10.1186/1479-5868-11-24
Chen, X., Cho, Y., & Jang, S. Y. (2015). Crime prediction using Twitter sentiment and weather. 2015 Systems and Information Engineering Design Symposium, SIEDS 2015, 00(c), 63–68. https://doi.org/10.1109/SIEDS.2015.7117012
Cohen, L. E., & Felson, M. (1979). Social Change and Crime Rate Trends: A Routine Activity Approach. American Sociological Review, 44(4), 588. https://doi.org/10.2307/2094589
Cohn, E. G., & Rotton, J. (2000). Weather, seasonal trends and property crimes in Minneapolis, 1987-1988. A moderator-variable time-series analysis of routine activities. Journal of Environmental Psychology, 20(3), 257–272. https://doi.org/10.1006/jevp.1999.0157
Corcoran, J., & Zahnow, R. (2021). The Effect of Weather on Assault. Environment and Behavior. https://doi.org/10.1177/00139165211014629
Corcoran, J., & Zahnow, R. (2022). The Effect of Weather on Assault. Environment and Behavior, 54(2), 300–326. https://doi.org/10.1177/00139165211014629
Dunwoody, C. J., Krenzischek, D. A., Pasero, C., Rathmell, J. P., & Polomano, R. C. (2008). Assessment, Physiological Monitoring, and Consequences of Inadequately Treated Acute Pain. Pain Management Nursing, 9(1 SUPPL), 11–21.
https://doi.org/10.1016/j.pmn.2007.11.006
Ghani, Z. A. (2017a). A comparative study of urban crime between Malaysia and Nigeria. Journal of Urban Management, 6(1), 19–29. https://doi.org/10.1016/j.jum.2017.03.001
Ghani, Z. A. (2017b). A comparative study of urban crime between Malaysia and Nigeria. Journal of Urban Management, 6(1), 19–29. https://doi.org/10.1016/j.jum.2017.03.001
Habibullah, M. S. (2017). The effects of weather on crime rates in Malaysia. International Journal of Business and Society, 18(2), 263–270. https://doi.org/10.33736/ijbs.482.2017
Haddaway, N. R., Macura, B., Whaley, P., & Pullin, A. S. (2018). ROSES Reporting standards for Systematic Evidence Syntheses: Pro forma, flow-diagram and descriptive summary of the plan and conduct of environmental systematic reviews and systematic maps. Environmental Evidence, 7(1), 4–11. https://doi.org/10.1186/s13750-018-0121-7
Hajela, G., Chawla, M., & Rasool, A. (2020). A Clustering Based Hotspot Identification Approach for Crime Prediction. Procedia Computer Science, 167(2019), 1462–1470. https://doi.org/10.1016/j.procs.2020.03.357
He, J., & Zheng, H. (2021). Prediction of crime rate in urban neighborhoods based on machine learning. Engineering Applications of Artificial Intelligence, 106(August), 104460. https://doi.org/10.1016/j.engappai.2021.104460
Horrocks, J., & Menclova, A. K. (2011). The effects of weather on crime. New Zealand Economic Papers, 45(3), 231–254. https://doi.org/10.1080/00779954.2011.572544
Hsiang, S. M., Hsiang, S. M., Burke, M., & Miguel, E. (2014). Quantifying the Infl uence of Climate on Human Confl ict, (2013). https://doi.org/10.1126/science.1235367
Hu, X., Wu, J., Chen, P., Sun, T., & Li, D. (2017a). Impact of climate variability and change on crime rates in Tangshan, China. Science of the Total Environment, 609, 1041–1048. https://doi.org/10.1016/j.scitotenv.2017.07.163
Hu, X., Wu, J., Chen, P., Sun, T., & Li, D. (2017b). Impact of climate variability and change on crime rates in Tangshan, China. Science of the Total Environment, 609, 1041–1048. https://doi.org/10.1016/j.scitotenv.2017.07.163
Ishak, S., & Bani, Y. (2017). Determinants of crime in Malaysia: Evidence from developed states. International Journal of Economics and Management, 11(3 Special Issue), 607–622.
Janardhanarao, S., Journal, I., Arroyo, J. C. T., Delima, A. J. P., & Orong, M. Y. (2020). Indexed Crime Data Visualization Utilizing Self-Organizing Map Algorithm. International Journal of Emerging Trends in Engineering Research, 8(9), 5975–5978.
https://doi.org/10.30534/ijeter/2020/173892020
Jung, Y., Chun, Y., & Griffith, D. A. (2020a). Temperature and assault in an urban environment: An empirical study in the city of Seoul, South Korea. Applied Geography, 124(August). https://doi.org/10.1016/j.apgeog.2020.102340
Jung, Y., Chun, Y., & Griffith, D. A. (2020b). Temperature and assault in an urban environment: An empirical study in the city of Seoul, South Korea. Applied Geography, 124(January). https://doi.org/10.1016/j.apgeog.2020.102340
Kitchen, P., & Williams, A. (2010). Quality of life and perceptions of crime in Saskatoon, Canada. Social Indicators Research, 95(1), 33–61. https://doi.org/10.1007/s11205-009-9449-2
Kounadi, O., Ristea, A., Araujo, A., & Leitner, M. (2020). A systematic review on spatial crime forecasting. Crime Science, 9(1), 1–22. https://doi.org/10.1186/s40163-020-00116-7
Lersch, K. M., & Hart, T. C. (2020). Geographies of Behavioural Health, Crime, and Disorder (Vol. 126). Retrieved from http://link.springer.com/10.1007/978-3-030-33467-3
Lin, Y. L., Chen, T. Y., & Yu, L. C. (2017). Using Machine Learning to Assist Crime Prevention. Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017, 1029–1030. https://doi.org/10.1109/IIAI-AAI.2017.46
Lynch, M. J., Stretesky, P. B., & Long, M. A. (2020). Climate change, temperature, and homicide: A tale of two cities, 1895–2015. Weather, Climate, and Society, 12(1), 171–181. https://doi.org/10.1175/WCAS-D-19-0068.1
Shaffril, M. H. A., Ahmad, N., Samsuddin, S. F., Samah, A. A., & Hamdan, M. E. (2020). Systematic literature review on adaptation towards climate change impacts among indigenous people in the Asia Pacific regions. Journal of Cleaner Production, 258. https://doi.org/10.1016/j.jclepro.2020.120595
Mohit, M. A. (2013a). Quality of Life in Natural and Built Environment – An Introductory Analysis. Procedia - Social and Behavioral Sciences, 101, 33–43. https://doi.org/10.1016/j.sbspro.2013.07.176
Mohit, M. A. (2013b). Quality of Life in Natural and Built Environment – An Introductory Analysis. Procedia - Social and Behavioral Sciences, 101, 33–43. https://doi.org/10.1016/j.sbspro.2013.07.176
Mouratidis, K. (2021). Urban planning and quality of life: A review of pathways linking the built environment to subjective well-being. Cities, 115(April), 103229. https://doi.org/10.1016/j.cities.2021.103229
Murataya, R. (2013). Effects of Weather on Crime. Effects of Weather on Crime. http://www.ijhssnet.com/view.php?u=http://www.ijhssnet.com/journals/Vol_3_No_10_Special_Issue_May_2013/7.pdf
Ranson, M. (2014). Crime , weather , and climate change, 67, 274–302.
Shah, R. R. (2017). Crime Prediction Using Machine Learning.
Soh, M. B. C. (2012). Crime and Urbanization: Revisited Malaysian Case. Procedia - Social and Behavioral Sciences, 42(July 2010), 291–299.
https://doi.org/10.1016/j.sbspro.2012.04.193
Trujillo, J. C., & Howley, P. (2021). The Effect of Weather on Crime in a Torrid Urban Zone. Environment and Behavior, 53(1), 69–90. https://doi.org/10.1177/0013916519878213
Wawrzyniak, Z. M., Borowik, G., Szczechla, E., Michalak, P., Pytlak, R., Cichosz, P., … Perkowski, E. (2018). Relationships between Crime and Everyday Factors. INES 2018 - IEEE 22nd International Conference on Intelligent Engineering Systems, Proceedings, 000039–000044. https://doi.org/10.1109/INES.2018.8523999
Williams, M. N., Hill, S. R., & Spicer, J. (2015). The relationship between temperature and assault in New Zealand. Climatic Change, 132(4), 559–573.
https://doi.org/10.1007/s10584-015-1438-7
In-Text Citation: (Sakip et al., 2022)
To Cite this Article: Sakip, S. R. M., Zukri, A. Z. M., & Masrom, S. (2022). The Relationship Criminal Behaviour Towards Quality of Life Based on Weather Changes: A Systematic Literature Review. International Journal of Academic Research in Business and Social Sciences, 12(8), 630 – 646.
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