Few researches have considered fear of crime as a context-specific experience. This article
promotes a place-based theoretical framework for studying crime perceptions through …

Among the critical challenges around the COVID-19 pandemic is dealing with the potentially
detrimental effects on people's mental health. Designing appropriate interventions and …

This chapter explores the ways in which the roles of citizens and researchers play out in the
social sciences. This is expressed by numerous overlapping and related terms, such as co …

Social media posts incorporate real-time information that has, elsewhere, been exploited to
predict social trends. This paper considers whether such information can be useful in …

We alert readers to the value of using unsolicited online data in drug policy research by
highlighting web-based content relevant to drug policy generated by distinct types of actor …

Traditional methods of counting bicyclists are resource-intensive and generate data with
sparse spatial and temporal detail. Previous research suggests big data from crowdsourced …

This paper presents the results of an exploratory quantitative analysis of gendered
contributions to the online mapping project OpenStreetMap (OSM), in which previous …

Mobile crowd sensing (MCS) arises as a promising data collection paradigm that leverages
the power of ubiquitous mobile devices to acquire rich information regarding their …

As a self-reporting data source, the 311 non-emergency service reflects the residents'
concerns on various environmental complaints, including noise. This study explores the …

This article presents the quantitative findings from a mixed-method study of perceptions of
crime in inner Sydney. A survey was deployed via Computer-Assisted Telephone Interview …