A5064999614- Crime Patterns and Interventions
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Land Use and Ecosystem Services
- Crime, Illicit Activities, and Governance
- demographic modeling and climate adaptation
- Evacuation and Crowd Dynamics
- Transportation Planning and Optimization
- Gambling Behavior and Treatments
- Spatial and Panel Data Analysis
- Geographic Information Systems Studies
- Data-Driven Disease Surveillance
- Traffic Prediction and Management Techniques
- COVID-19 epidemiological studies
- Innovations in Medical Education
- Traffic and Road Safety
- Wildlife Conservation and Criminology Analyses
- Transportation and Mobility Innovations
- Complex Systems and Time Series Analysis
- Primary Care and Health Outcomes
- Global Health Workforce Issues
- Urban Design and Spatial Analysis
- Climate variability and models
- Health disparities and outcomes
- Evolutionary Game Theory and Cooperation
University of Leeds
2016-2025
The Alan Turing Institute
2019-2024
Turing Institute
2020-2024
University of Auckland
2024
British Library
2020-2023
National University of the Northeast
2021-2022
University of Newcastle Australia
2022
Newcastle University
2022
The Ohio State University
2022
Arizona State University
2022
Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison 5-year averages. There is variation onset change by type, some declining from WHO 'global pandemic' announcement 11 March, others later. By 1 week after 23 March lockdown, all recorded had declined 41%, with variation: shoplifting (- 62%), theft 52%), domestic abuse 45%),...
Recent research in the ‘‘crime at places’’ literature is concerned with smaller units of analysis than conventional spatial criminology. An important issue whether patterns observed criminology focused on neighborhoods remain when shifts to street segments. In this article, authors use a new point pattern test that identifies similarity patterns. This local nature such output can be mapped showing where differences are present. Using test, investigate stability crime moving from census...
Crime rate is a statistic used to summarize the risk of criminal events. However, research has shown that choosing appropriate denominator non-trivial. Different crime types exhibit different spatial opportunities and so does population at risk. The residential most commonly risk, but unlikely be suitable for crimes involve mobile populations. In this article, we use “crowd-sourced” data in Leeds, England, measure considering violent crime. These new sources have potential represent...
It is well known that, due to that inherent differences in their underlying causal mechanisms, different types of crime will have variable impacts on groups people. Furthermore, the locations vulnerable people are highly temporally dynamic. Hence an accurate estimate true population at risk a given place and time vital for reliable rate calculation hotspot generation. However, choice denominator fraught with difficulty because data describing popular movements, rather than simply residential...
Crime analysts need accurate population-at-risk measures to quantify crime rates. This research evaluates five find the most suitable ambient estimate for ‘theft from person’ crimes. Collect ‘ambient’ datasets: 2011 Census, aggregate mobile telephone locations, and social media. Correlate population against volumes identify strongest predictor. Use Gi* statistic statistically significant clusters of under alternative denominators. Explore locations clusters, comparing those that are...
It is well recognized that LSD (lysergide) can give serious adverse reactions, including suicide and prolonged psychosis; Smart Bateman (1967) have reviewed the subject thoroughly. However, examples reported refer largely to cases where was self-administered. Medical case reports usually cover small numbers, publication may be determined by high reaction rates. There has been no methodical survey of pooled experience psychiatrists since Cohen's study in 1960. This 44 replies sent out 62...
Since its original publication, routine activity theory has proven most instructive for understanding temporal patterns in crime. The prominent of the crime investigated is seasonality: (most often assault) increases during summer months and decreases once activities are less outside. Despite rather widespread literature on seasonality crime, there very little research investigating at shorter time intervals such as within week or even day. This paper contributes to this through a...
Cities are complex systems, comprising of many interacting parts. How we simulate and understand causality in urban systems is continually evolving. Over the last decade agent-based modeling (ABM) paradigm has provided a new lens for understanding effects interactions individuals how through such macro structures emerge, both social physical environment cities. However, been hindered due to computational power lack large fine scale datasets. Within few years have witnessed massive increase...
A widespread approach to investigating the dynamical behaviour of complex social systems is via agent-based models (ABMs). In this paper, we describe how such can be dynamically calibrated using ensemble Kalman filter (EnKF), a standard method data assimilation. Our goal twofold. First, want present EnKF in simple setting for benefit ABM practitioners who are unfamiliar with it. Second, illustrate assimilation experts value methods context ABMs and new challenges these types model present....
Despite reaching a point of acceptance as research tool across the geographical and social sciences, there remain significant methodological challenges for agent‐based models. These include recognizing simulating emergent phenomena, agent representation, construction behavioral rules, calibration validation. While advances in individual‐level data computing power have opened up new avenues, they also brought with them set challenges. This article reviews some that field has faced,...
Volunteered Geographical Information (VGI) and social media can provide information about real-time perceptions, attitudes behaviours in urban green space (UGS). This paper reviews the use of VGI data research examining UGS. The current state art is described through analysis 177 papers to (1) summarise characteristics usage from different platforms, (2) an overview topics using such sources, (3) characterise approaches based on pre-processing, quality assessment improvement, modelling. A...
The analysis of geographically referenced data, specifically point is predicated on the accurate geocoding those data. Geocoding refers to process in which data (addresses, for example) are placed a map. This may lead issues with positional accuracy or inability geocode an address. In this paper, we conduct international investigation into impact (in)ability address resulting spatial pattern. We use variety sets crime events (varying numbers and types crime), areal units number size units),...
Agent-based models (ABMs) are gaining traction as one of the most powerful modelling tools within social sciences. They particularly suited to simulating complex systems. Despite many methodological advances ABM, major drawbacks is their inability incorporate real-time data make accurate short-term predictions. This paper presents an approach that allows ABMs be dynamically optimized. Through a combination parameter calibration and assimilation (DA), accuracy model-based predictions using...
Having access to and visiting urban green space (UGS) improves liveability provides considerable benefits residents. However, traditional methods of investigating UGS visitation, such as questionnaires social surveys, are usually time- resource-intensive, frequently provide less transferable, site-specific outcomes. This study uses media data (Twitter) examine spatio-temporal changes in use London associated with COVID-19 related lockdowns. It compares georeferenced Tweets posted a 3 month...