Minxuan Lan
Biographic Data
| ID | 3635670 |
|---|---|
| NAME | Minxuan Lan |
| GIVEN NAMES | Minxuan |
| FAMILY NAME | Lan |
| SIGNATURE | LAN M |
| AFFILIATIONS | University of Toledo |
| ORCID | 0000-0002-4528-9544 |
| VERIFIED | Yes |
| TOTAL WORKS | 25 |
| TOTAL CITATIONS | 29 |
| AUTHOR COUNT | 25 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 4 |
Measuring spatial accessibility to improved water sources among the households in Sibi, Ghana
Despite significant global progress toward achieving Sustainable Development Goal Six, which aims to ensure universal and equitable access to improved water sources (those that are protected from outside contamination, and from fecal matter in particular) by 2030, access to improved water sources remains a persistent challenge, especially in rural African communities. In Sibi, Ghana, a rural area characterized by diverse physical and infrastructu…
Examining the Microlevel Impact of Medical Marijuana Legalization on Drug-Related Calls for Service
Marijuana is the most widely used illicit drug in the United States. The recent legalization of marijuana has shifted public opinion, which might affect how people report drug-related activities. Whereas some studies have investigated the issue at the city or larger scales, few have focused on a microlevel within a city. This study examined the spatiotemporal distribution of drug-related calls at the street segment level in Cincinnati, Ohio, from…
From alleys to arterial streets: Unpacking the influence of diverse street types and associated business on urban theft patterns
The impact of changing ambient population composition on crime during Covid-19 lockdowns
Governments around the world implemented social distancing measures and lockdowns to limit people's movement and stem the spread of the global COVID-19 pandemic. These restrictions have changed the ambient population and altered its racial composition. By analyzing trips between census block groups using data from SafeGraph, we calculate the ambient population and infer its racial makeup during pre-lockdown, lockdown, early-post lockdown, and lat…
Spatial Variations of the Broken Emotion Conjecture
Crime is not randomly distributed but tends to occur in specific spatial clusters. The literature has published many theories to explain its underlying causes. In recent years, scholars have increasingly leveraged social media big data to enrich our understanding of crime. Among these efforts is the Broken Emotion Conjecture, which offers a novel perspective on the connection between crime and emotion. However, how this connection varies among cr…
Assessing the impact of modern streetcar on street robbery at street segment level: A longitudinal comparison in Cincinnati, OH
Capturing the spatial arrangement of POIs in crime modeling
Less is more: How effective is the joint effect on CCTV crime reduction
The Impact of Spatial Changes on the Assessment of CCTV Effects: An Example of the Green Light Project in Detroit
The assessment of closed-circuit television (CCTV) as an infrastructure designed to improve the policing environment has gained widespread attention. The effect of CCTV is influenced not only by the time of installation, however, but also by locations, making it challenging to assess accurately from a single dimension. Existing studies have analyzed the differences in assessment results due to the period of installation, but little has been said …
A Multiscale Assessment of the Impact of Perceived Safety from Street View Imagery on Street Crime
Perceived safety of the built environment—a cognitive assessment different from emotional fear of crime—might affect the number of potential crime victims in an area and thus affect crime opportunities. The perceived safety derived from street view imagery has propelled scholars to examine its relationship with crime. The literature, however, has not addressed the related geographic scale variability issue; that is, the choice of the geographic a…
Assessing Potable Water Access and Its Implications for Households’ Livelihoods: The Case of Sibi in the Nkwanta North District, Ghana
Despite water being a basic human need, the residents of Sibi in Ghana’s Nkwanta North District struggle to obtain potable water, which negatively influences their livelihoods. This study aimed to evaluate the impacts on households’ livelihoods due to difficulties in accessing potable water and accordingly give policy recommendations. Data were collected through questionnaire surveys, interviews, geographic information systems (GIS), and remote s…
Measuring perceived racial heterogeneity and its impact on crime: An ambient population-based approach
Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns
The article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighborhoods of Szczecin, Poland, we analyzed the following crime types that occurred during 2015–2017: burglary in commercial buildings, drug crime, fight and battery, property damage, and theft. Using …
Interpretable machine learning models for crime prediction
Are Crime and Collective Emotion Interrelated? A “Broken Emotion” Conjecture from Community Twitter Posts
A neighborhood’s social cohesion, referring to the emotional and social connection of people within it, tends to have an influential impact on its crime level. Traditional approaches to measuring social cohesion and collective efficacy are mostly interviews and surveys, which are usually costly in time, money, and other resources. Big social media data provides us with a new and cost-effective source of such information. We believe the combinatio…
The impact of civil registration-based demographic heterogeneity on community thefts
Agglomerative Effects of Crime Attractors and Generators on Street Robbery? An Assessment by Luojia 1-01 Satellite Nightlight
Scholars have long confirmed the agglomerative effect in retail geography. The colocation of multiple shops would encourage customers to make multiple stops in a single shopping trip. Does the agglomerative effect exist in illegal activities such as crime? What is a viable measurement of the colocation of facilities that attract or generate crime? These questions have never been explicitly addressed in crime geography. Numerous studies explain cr…
Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding Areas
Whether newly implemented public transit stations influence the nearby crime pattern has been debated for years. In ZG City, China, 2 new subway lines and 20 new stations were implemented in 2017. This intervention allows us to test the plausible relationship between new public transit stations and thefts in the surrounding areas. We use the difference-in-differences (DID) model to assess the theft in the treatment and control areas before and af…
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery
A spatial analytical approach to assess the impact of a casino on crime: An example of Jack Casino in downtown Cincinnati
Burglaries and entry controls in gated communities
This article examines whether different levels of entry controls impact burglary rates in gated communities. It differs from the previous studies that only distinguish gated communities from non-gated communities but ignore important variation in different levels of entry controls. A sample of 698 gated communities in a large Chinese city are selected for this study. A negative binomial regression model estimates the relationships between entry c…
Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging Method
Crime prediction using machine learning and data fusion assimilation has become a hot topic. Most of the models rely on historical crime data and related environment variables. The activity of potential offenders affects the crime patterns, but the data with fine resolution have not been applied in the crime prediction. The goal of this study is to test the effect of the activity of potential offenders in the crime prediction by combining this da…
Assessing the effects of bus stop relocation on street robbery
Linking Luojia 1-01 nightlight imagery to urban crime
Assessing the Intraday Variation of the Spillover Effect of Tweets-Derived Ambient Population on Crime
The spatial pattern of geotagged tweets reflects the dynamic distribution of the ambient population during day and night as a result of people’s routine activities. A few studies have assessed the impact of tweets-derived ambient population on crime and the spillover effect of such impact at different spatial and temporal scales. However, none has revealed the intraday variation of such spillover effect. This study analyzes both the direct and sp…
A Multiscale Assessment of the Impact of Perceived Safety from Street View Imagery on Street Crime
Perceived safety of the built environment—a cognitive assessment different from emotional fear of crime—might affect the number of potential crime victims in an area and thus affect crime opportunities. The perceived safety derived from street view imagery has propelled scholars to examine its relationship with crime. The literature, however, has not addressed the related geographic scale variability issue; that is, the choice of the geographic a…
Measuring perceived racial heterogeneity and its impact on crime: An ambient population-based approach
A spatial analytical approach to assess the impact of a casino on crime: An example of Jack Casino in downtown Cincinnati
Burglaries and entry controls in gated communities
This article examines whether different levels of entry controls impact burglary rates in gated communities. It differs from the previous studies that only distinguish gated communities from non-gated communities but ignore important variation in different levels of entry controls. A sample of 698 gated communities in a large Chinese city are selected for this study. A negative binomial regression model estimates the relationships between entry c…
Assessing the Intraday Variation of the Spillover Effect of Tweets-Derived Ambient Population on Crime
The spatial pattern of geotagged tweets reflects the dynamic distribution of the ambient population during day and night as a result of people’s routine activities. A few studies have assessed the impact of tweets-derived ambient population on crime and the spillover effect of such impact at different spatial and temporal scales. However, none has revealed the intraday variation of such spillover effect. This study analyzes both the direct and sp…
The impact of civil registration-based demographic heterogeneity on community thefts
Agglomerative Effects of Crime Attractors and Generators on Street Robbery? An Assessment by Luojia 1-01 Satellite Nightlight
Scholars have long confirmed the agglomerative effect in retail geography. The colocation of multiple shops would encourage customers to make multiple stops in a single shopping trip. Does the agglomerative effect exist in illegal activities such as crime? What is a viable measurement of the colocation of facilities that attract or generate crime? These questions have never been explicitly addressed in crime geography. Numerous studies explain cr…
Are Crime and Collective Emotion Interrelated? A “Broken Emotion” Conjecture from Community Twitter Posts
A neighborhood’s social cohesion, referring to the emotional and social connection of people within it, tends to have an influential impact on its crime level. Traditional approaches to measuring social cohesion and collective efficacy are mostly interviews and surveys, which are usually costly in time, money, and other resources. Big social media data provides us with a new and cost-effective source of such information. We believe the combinatio…
Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging Method
Crime prediction using machine learning and data fusion assimilation has become a hot topic. Most of the models rely on historical crime data and related environment variables. The activity of potential offenders affects the crime patterns, but the data with fine resolution have not been applied in the crime prediction. The goal of this study is to test the effect of the activity of potential offenders in the crime prediction by combining this da…
Assessing the effects of bus stop relocation on street robbery
Linking Luojia 1-01 nightlight imagery to urban crime
Assessing the Intraday Variation of the Spillover Effect of Tweets-Derived Ambient Population on Crime
The spatial pattern of geotagged tweets reflects the dynamic distribution of the ambient population during day and night as a result of people’s routine activities. A few studies have assessed the impact of tweets-derived ambient population on crime and the spillover effect of such impact at different spatial and temporal scales. However, none has revealed the intraday variation of such spillover effect. This study analyzes both the direct and sp…
Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding Areas
Whether newly implemented public transit stations influence the nearby crime pattern has been debated for years. In ZG City, China, 2 new subway lines and 20 new stations were implemented in 2017. This intervention allows us to test the plausible relationship between new public transit stations and thefts in the surrounding areas. We use the difference-in-differences (DID) model to assess the theft in the treatment and control areas before and af…
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery
A spatial analytical approach to assess the impact of a casino on crime: An example of Jack Casino in downtown Cincinnati
Burglaries and entry controls in gated communities
This article examines whether different levels of entry controls impact burglary rates in gated communities. It differs from the previous studies that only distinguish gated communities from non-gated communities but ignore important variation in different levels of entry controls. A sample of 698 gated communities in a large Chinese city are selected for this study. A negative binomial regression model estimates the relationships between entry c…
Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns
The article aims to propose a new way of estimating the ambient and immobile urban population using geotagged tweets and age structure, and to test how they are related to urban crime patterns. Using geotagged tweets and age structure data in 37 neighborhoods of Szczecin, Poland, we analyzed the following crime types that occurred during 2015–2017: burglary in commercial buildings, drug crime, fight and battery, property damage, and theft. Using …
Interpretable machine learning models for crime prediction
Are Crime and Collective Emotion Interrelated? A “Broken Emotion” Conjecture from Community Twitter Posts
A neighborhood’s social cohesion, referring to the emotional and social connection of people within it, tends to have an influential impact on its crime level. Traditional approaches to measuring social cohesion and collective efficacy are mostly interviews and surveys, which are usually costly in time, money, and other resources. Big social media data provides us with a new and cost-effective source of such information. We believe the combinatio…
The impact of civil registration-based demographic heterogeneity on community thefts
Agglomerative Effects of Crime Attractors and Generators on Street Robbery? An Assessment by Luojia 1-01 Satellite Nightlight
Scholars have long confirmed the agglomerative effect in retail geography. The colocation of multiple shops would encourage customers to make multiple stops in a single shopping trip. Does the agglomerative effect exist in illegal activities such as crime? What is a viable measurement of the colocation of facilities that attract or generate crime? These questions have never been explicitly addressed in crime geography. Numerous studies explain cr…
Assessing Potable Water Access and Its Implications for Households’ Livelihoods: The Case of Sibi in the Nkwanta North District, Ghana
Despite water being a basic human need, the residents of Sibi in Ghana’s Nkwanta North District struggle to obtain potable water, which negatively influences their livelihoods. This study aimed to evaluate the impacts on households’ livelihoods due to difficulties in accessing potable water and accordingly give policy recommendations. Data were collected through questionnaire surveys, interviews, geographic information systems (GIS), and remote s…
Measuring perceived racial heterogeneity and its impact on crime: An ambient population-based approach
The Impact of Spatial Changes on the Assessment of CCTV Effects: An Example of the Green Light Project in Detroit
The assessment of closed-circuit television (CCTV) as an infrastructure designed to improve the policing environment has gained widespread attention. The effect of CCTV is influenced not only by the time of installation, however, but also by locations, making it challenging to assess accurately from a single dimension. Existing studies have analyzed the differences in assessment results due to the period of installation, but little has been said …
A Multiscale Assessment of the Impact of Perceived Safety from Street View Imagery on Street Crime
Perceived safety of the built environment—a cognitive assessment different from emotional fear of crime—might affect the number of potential crime victims in an area and thus affect crime opportunities. The perceived safety derived from street view imagery has propelled scholars to examine its relationship with crime. The literature, however, has not addressed the related geographic scale variability issue; that is, the choice of the geographic a…
From alleys to arterial streets: Unpacking the influence of diverse street types and associated business on urban theft patterns
The impact of changing ambient population composition on crime during Covid-19 lockdowns
Governments around the world implemented social distancing measures and lockdowns to limit people's movement and stem the spread of the global COVID-19 pandemic. These restrictions have changed the ambient population and altered its racial composition. By analyzing trips between census block groups using data from SafeGraph, we calculate the ambient population and infer its racial makeup during pre-lockdown, lockdown, early-post lockdown, and lat…
Spatial Variations of the Broken Emotion Conjecture
Crime is not randomly distributed but tends to occur in specific spatial clusters. The literature has published many theories to explain its underlying causes. In recent years, scholars have increasingly leveraged social media big data to enrich our understanding of crime. Among these efforts is the Broken Emotion Conjecture, which offers a novel perspective on the connection between crime and emotion. However, how this connection varies among cr…
Assessing the impact of modern streetcar on street robbery at street segment level: A longitudinal comparison in Cincinnati, OH
Capturing the spatial arrangement of POIs in crime modeling
Less is more: How effective is the joint effect on CCTV crime reduction
Measuring spatial accessibility to improved water sources among the households in Sibi, Ghana
Despite significant global progress toward achieving Sustainable Development Goal Six, which aims to ensure universal and equitable access to improved water sources (those that are protected from outside contamination, and from fecal matter in particular) by 2030, access to improved water sources remains a persistent challenge, especially in rural African communities. In Sibi, Ghana, a rural area characterized by diverse physical and infrastructu…
Examining the Microlevel Impact of Medical Marijuana Legalization on Drug-Related Calls for Service
Marijuana is the most widely used illicit drug in the United States. The recent legalization of marijuana has shifted public opinion, which might affect how people report drug-related activities. Whereas some studies have investigated the issue at the city or larger scales, few have focused on a microlevel within a city. This study examined the spatiotemporal distribution of drug-related calls at the street segment level in Cincinnati, Ohio, from…
Crime Patterns and Interventions (22 works) · Geography (17 works) · Sociology (12 works) · Computer Science (10 works) · Criminology (10 works) · Mathematics (10 works) · Demography (8 works) · Population (8 works) · Crime, Illicit Activities, and Governance (7 works) · Economics (7 works)