According to routine activity theory and crime pattern theory, feeds on the legal activities of offenders unguarded victims. Based this assumption, present study investigates whether daily mobility flows urban population help predict where individual thieves commit crimes. Geocoded tracks mobile phones are used estimate intensity between pairs 1616 communities in a large city China. Using data 3436 police-recorded thefts from person, we apply discrete choice models assess explain go...

In recent years, it has increasingly been recognized that due to the uncertain geographic context problem caused by daily human mobility, residential population is too static serve as a valid measure of at risk for criminal victimization. Various alternative measures have suggested instead. Guided routine activity approach, this study furthers concept crime and its measurement across space time. Using exceptionally comprehensive data sets on mobility theft from person in large city China, we...

While some research has examined the time-lagged effect of restorative soundscape in specific contexts (e.g., parks), how noise annoyance during people's daily activities may vary across different temporal, spatial, and social remains largely unknown. To address this gap, we utilized Ecological Momentary Assessment (EMA) data to measure real-time activity diary assess their annoyance. Real-time exposure was captured by portable sensors. We employed fixed effects ordered panel logistic...

In recent years, there has been a sharp increase in the number of online fraud cases. However, research on crime geography paid little attention to crimes, especially influencing factors behind their spatial distributions. Online is closely related people’s daily internet use. The existing literature explored impact use crimes based small samples individual interviews. There lack large-scale studies from community perspective. This study applies routine activity theory activities test...

Research on journey-to-crime distance has revealed the importance of both characteristics offender as well those target communities. However, effect home community so far been ignored. Besides, almost all studies were done in Western societies, and little is known about how distinct features communities major Chinese cities shape residential burglars’ travel patterns. To fill this gap, we apply a cross-classified multilevel regression model data 3763 burglary trips ZG City, one bustling...

The residential population of an area is incomplete measure the number people that are momentarily present in area, and limited value as indicator exposure to risk crime. By accounting for mobility population, measures ambient better reflect momentary presence people. They have therefore become alternative This study considers heterogeneity by distinguishing residents, employees visitors different categories, explores their differential impact on thefts, both weekdays weekends. We analyze...

The relationship between burglary and socio-demographic factors has long been a hot topic in crime research. Spatial dependence spatial heterogeneity are two issues to be addressed modeling geographic data. When these arise at the same time, it is difficult model them simultaneously. A cross-comparison of three models presented this study identify which effect should first analysis. negative binominal (NB), Bayesian hierarchical (BHM) geographically weighted Poisson regression (GWPR) were...

Abstract While previous research has underscored the profound influence of ambient population distribution on spatial dynamics crime, exploration regarding impact heterogeneity within population, such as different income groups, crime is still in its infancy. With support mobile phone big data, this study constructs an index to represent complexity social environment. After controlling for effects total nonlocal rate, transportation accessibility, attractors, and generators, employs a...

Abstract This study examines the temporal changes in income segregation within ambient population around clock using mobile phone big data. It employs ordinal entropy, a metric suited for measuring among ordered groups, to quantify level of eight groups micro-geographic units throughout 24-h period on weekday and weekend day urban core Guangzhou, China. The further decomposes daily by location time profile. We identify functions neighborhood contexts relevant explore their variation. Using...

The segregation–crime relationship is a classic topic in sociology and crime geography, yet existing literature mainly focuses on the impact of racial segregation at global scale. Little known about local other socioeconomic characteristics such as education level, an important factor for racially homogenous countries like China. Also unknown their beyond residential domain. Using Baidu Map Location-Based Service population data set court records 863 geographic units central urban area...

Fear of crime can lead to lower satisfaction with life and subjective well-being. The indicators fear vary from the social cultural context, hukou (household registration) status causes unequal rights between local non-local residents in China. To improve people’s perception safety, this study takes as an indicator vulnerability examines relationship hukou, perceived neighborhood conditions, A binary logistic regression model was used analyze 1727 garnered 2016 Project on Public Safety...

The ambient population has been regarded as an important indicator for analyzing or predicting thefts. However, the literature taken it a homogenous group and seldom explored varied impacts of different kinds populations on To fill this gap, supported by mobile phone trajectory data, research investigated relationship between social groups theft in major city China. With control variables motivated offenders guardianship, spatial-lag negative binominal models were built to explore effects...