Su-Yin Tan
Biographic Data
| ID | 3582713 |
|---|---|
| NAME | Su-Yin Tan |
| GIVEN NAMES | Su-Yin |
| FAMILY NAME | Tan |
| SIGNATURE | TAN S |
| AFFILIATIONS | University of Waterloo |
| ORCID | 0000-0001-8829-0775 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The spatiotemporally varying relationship between LRT development and gentrification
Urban rapid transit systems, such as light rail transit (LRT), may be associated with gentrification. Previous quantitative studies have adopted various analytical methods and reported mixed findings. However, they have often failed to differentiate gentrification from other forms of neighborhood change or assumed a homogeneous transit-gentrification relationship across space and time. This study argues that the relationship between transit and n…
Neighborhood safety in a university town
University and college towns represent distinctive physical and social environments that generate unique spatiotemporal patterns of crime and disorder. While on-campus offenses have been widely examined, crime and disorder associated with studentification (i.e., the increasing concentration of post-secondary students in off-campus residential neighborhoods) remain underexplored. This research uses Kitchener–Waterloo, Canada, a mid-sized urban are…
Exploring the relationship between income inequality and crime in Toronto using frequentist and Bayesian models
Income inequality, which refers to the uneven distribution of income in a population, has been linked to many societal problems, including crime. Although environmental criminology theories, such as rational choice theory, suggest a positive association between income inequality and crime, previous empirical studies have reported divergent results based on different crime types, statistical models, and spatial units of analysis. This study employ…
Are There Non-Business Days for Crime? A Small-Area Bayesian Spatiotemporal Analysis of Crime Patterns
Criminal behavior may be different on weekends and holidays compared to business days. Understanding the distinctive crime patterns on non-business days is useful for crime research and crime control. This study contributes to the literature by explicitly investigating the small-area spatiotemporal variation in five types of major crimes between business days and non-business days using a Bayesian modeling approach in Old Toronto, Canada. The res…
Crime victimization and the implications for individual health and wellbeing
Crime victimization and the implications for individual health and wellbeing
Are There Non-Business Days for Crime? A Small-Area Bayesian Spatiotemporal Analysis of Crime Patterns
Criminal behavior may be different on weekends and holidays compared to business days. Understanding the distinctive crime patterns on non-business days is useful for crime research and crime control. This study contributes to the literature by explicitly investigating the small-area spatiotemporal variation in five types of major crimes between business days and non-business days using a Bayesian modeling approach in Old Toronto, Canada. The res…
Crime victimization and the implications for individual health and wellbeing
Exploring the relationship between income inequality and crime in Toronto using frequentist and Bayesian models
Income inequality, which refers to the uneven distribution of income in a population, has been linked to many societal problems, including crime. Although environmental criminology theories, such as rational choice theory, suggest a positive association between income inequality and crime, previous empirical studies have reported divergent results based on different crime types, statistical models, and spatial units of analysis. This study employ…
Are There Non-Business Days for Crime? A Small-Area Bayesian Spatiotemporal Analysis of Crime Patterns
Criminal behavior may be different on weekends and holidays compared to business days. Understanding the distinctive crime patterns on non-business days is useful for crime research and crime control. This study contributes to the literature by explicitly investigating the small-area spatiotemporal variation in five types of major crimes between business days and non-business days using a Bayesian modeling approach in Old Toronto, Canada. The res…
The spatiotemporally varying relationship between LRT development and gentrification
Urban rapid transit systems, such as light rail transit (LRT), may be associated with gentrification. Previous quantitative studies have adopted various analytical methods and reported mixed findings. However, they have often failed to differentiate gentrification from other forms of neighborhood change or assumed a homogeneous transit-gentrification relationship across space and time. This study argues that the relationship between transit and n…
Neighborhood safety in a university town
University and college towns represent distinctive physical and social environments that generate unique spatiotemporal patterns of crime and disorder. While on-campus offenses have been widely examined, crime and disorder associated with studentification (i.e., the increasing concentration of post-secondary students in off-campus residential neighborhoods) remain underexplored. This research uses Kitchener–Waterloo, Canada, a mid-sized urban are…
Crime Patterns and Interventions (4 works) · Criminology (3 works) · Bayesian inference (2 works) · Bayesian probability (2 works) · Health disparities and outcomes (2 works) · Human Factors and Ergonomics (2 works) · Human Factors and Ergonomics (2 works) · Occupational safety and health (2 works) · Poison control (2 works) · Psychology (2 works)