2016
DOI: 10.1017/s0956792516000140
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Personalized crime location prediction

Abstract: Crime reduction and prevention strategies are vital for policymakers and law enforcement to face inevitable increases in urban crime rates as a side effect of the projected growth of urban population by the year 2030. Studies conclude that crime does not occur uniformly across urban landscapes but concentrates in certain areas. This phenomenon has drawn attention to spatial crime analysis, primarily focusing on crime hotspots, areas with disproportionally higher crime density. In this paper, we present CrimeTr… Show more

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Cited by 8 publications
(3 citation statements)
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“…The following main reasons suggest that a new credibility crisis might dawn upon psychological science: (1) the limitations and frequent misinterpretations of betweenperson methods that have been described here; (2) the widespread and often predominant use of these betweenperson methods in psychology; (3) the fact that these limitations have been criticized for many years by various authors in combination with the fact that these method critiques are often ignored in current psychological research (e.g., Molenaar, 2004;Simpson, 1951;Reitzle, 2013;Rogosa, 1980;Hamaker et al, 2015); (4) the fact that many people, including practitioners interested in personalized solutions, turn to psychology with questions about individuals that cannot be answered by the between-person methods that are applied to study these questions; (5) the fact that diverse within-person methods have been available for a long time, solve some of the limitations of within-personmethods, but are not yet embraced fully in many psychological research fields; and (6) the fact that within-person methods and personalized descriptions and predictions are not only needed but frequently used in applied fields that take a pragmatic data science approach and are interested in making trustworthy decisions about how to treat individuals, including banking (e.g., Galal et al, 2016;Hernández-Nieves et al, 2020;), advertisement (Zhu & Chang, 2016;Bang & Wojdynski, 2016), medicine (Senn, 2016;2018), law enforcement (e.g., Tayebi et al, 2016), personalized content recommendation tailored to customer's preferences in for example Amazon or Netflix (e.g., Gomez-Uribe & Hunt, 2015;Smith & Linden, 2017), and many more.…”
Section: Do These Limitations Of Common Between-person Methods Imply That We Are At the Dawn Of A New Credibility Crisis In Psychology?mentioning
confidence: 99%
“…The following main reasons suggest that a new credibility crisis might dawn upon psychological science: (1) the limitations and frequent misinterpretations of betweenperson methods that have been described here; (2) the widespread and often predominant use of these betweenperson methods in psychology; (3) the fact that these limitations have been criticized for many years by various authors in combination with the fact that these method critiques are often ignored in current psychological research (e.g., Molenaar, 2004;Simpson, 1951;Reitzle, 2013;Rogosa, 1980;Hamaker et al, 2015); (4) the fact that many people, including practitioners interested in personalized solutions, turn to psychology with questions about individuals that cannot be answered by the between-person methods that are applied to study these questions; (5) the fact that diverse within-person methods have been available for a long time, solve some of the limitations of within-personmethods, but are not yet embraced fully in many psychological research fields; and (6) the fact that within-person methods and personalized descriptions and predictions are not only needed but frequently used in applied fields that take a pragmatic data science approach and are interested in making trustworthy decisions about how to treat individuals, including banking (e.g., Galal et al, 2016;Hernández-Nieves et al, 2020;), advertisement (Zhu & Chang, 2016;Bang & Wojdynski, 2016), medicine (Senn, 2016;2018), law enforcement (e.g., Tayebi et al, 2016), personalized content recommendation tailored to customer's preferences in for example Amazon or Netflix (e.g., Gomez-Uribe & Hunt, 2015;Smith & Linden, 2017), and many more.…”
Section: Do These Limitations Of Common Between-person Methods Imply That We Are At the Dawn Of A New Credibility Crisis In Psychology?mentioning
confidence: 99%
“…Moreso, different crimes happened in urban populations such as property crime, collective violence, robbery and aggravated assault, where highly urbanized cities and migrant people (from rural to urban) have a strong relationship with crime rate (Lodhi & Tilly, 1973;Qi, 2020). Conversely, not all crimes happen in one specific location but rather crime happens in "crime hotspot" where offenders venture into unknown territory, and frequently select targets in or near places they are most familiar with as part of their activity space (Tayebi et al, 2016).…”
Section: Resultsmentioning
confidence: 99%
“…The following main reasons suggest that a new credibility crisis might dawn upon the Psychological science: (1) the here described limitations and frequent misinterpretations of between-person methods, (2) the widespread and often predominant use of these between-person methods in Psychology, (3) the fact that these limitations have been criticized for many years by various authors in combination with the fact that these method critiques are often ignored in the current psychological research (e.g., Molenaar, 2004;Simpson, 1951;Reitzle, 2013;Rogosa, 1980;Hamaker, Kuiper, Grasman, 2015), ( 4) the fact that many people, including practitioners interested in personalized solutions, turn to Psychology with questions about individuals that cannot be answered by the between-person methods that are applied to studying these questions, ( 5) the fact that diverse within-person methods have been available, solve some of the limitations of within-person-methods, but are not yet embraced fully in many psychological research fields, and ( 6) the fact that within-person methods and personalized descriptions and predictions are not only needed but frequently applied in all the applied fields that take a pragmatic data science approach and are interested in making trustworthy decisions about how to treat individuals, including banking (e.g., Galal, Hassan, & Aref, 2016;Hernández-Nieves, Hernández, Gil-González, Rodríguez-González, & Corchado, 2020;), advertisement (Zhu & Chang, 2016;Bang & Wojdynski, 2016), medicine (Senn, 2016;2018), law enforcement (e.g., Tayebi, Glässer, Ester, & Brantingham, 2016), personalized content recommendation tailored to customer's preferences in e.g., Amazon or Netflix (e.g., Gomez-Uribe & Hunt, 2015;Smith & Linden, 2017), and many more.…”
Section: Do These Limitations Of the Common Between-person Methods Imply We Are At The Dawn Of A New Credibility Crisis In Psychology?mentioning
confidence: 99%