A5082629760- Crime Patterns and Interventions
- Legal Systems and Judicial Processes
- Data-Driven Disease Surveillance
- Criminal Law and Evidence
- Human Mobility and Location-Based Analysis
- COVID-19 epidemiological studies
- Crime, Illicit Activities, and Governance
- Land Use and Ecosystem Services
- Law, Rights, and Freedoms
- Urban Green Space and Health
- Vaccine Coverage and Hesitancy
- Homelessness and Social Issues
- Legal and Regulatory Analysis
- Crime, Deviance, and Social Control
- COVID-19 Pandemic Impacts
- Property Rights and Legal Doctrine
- Geographic Information Systems Studies
- Wildlife Conservation and Criminology Analyses
- Influenza Virus Research Studies
- Radiomics and Machine Learning in Medical Imaging
- Food Safety and Hygiene
- COVID-19 and Mental Health
- Environmental Conservation and Management
- Urban Transport and Accessibility
- Sport and Mega-Event Impacts
University College London
2022-2024
Northeastern University
2020-2023
Boston Area Research Initiative
2020-2023
Boston University
2022
Universidad del Noreste
2020-2021
University of Salzburg
2017-2020
Administraţia Naţională de Meteorologie
2016
Parks are essential public places and play a central role in urban livability. However, traditional methods of investigating their attractiveness, such as questionnaires situ observations, usually time- resource-consuming, while providing less transferable only site-specific results. This paper presents an improved methodology using social media (Twitter) data to extract spatial temporal patterns park visits for planning purposes, along with the sentiment tweets, focusing on frequent Twitter...
Sporting events attract high volumes of people, which in turn leads to increased use social media. In addition, research shows that sporting may trigger violent behavior can lead crime. This study analyses the spatial relationships between crime occurrences, demographic, socio-economic and environmental variables, together with geo-located Twitter messages their 'violent' subsets. The analysis compares basketball hockey game days non-game days. Moreover, this aims analyze prediction models...
The dynamic nature of cities, understood as complex systems with a variety concurring factors, poses significant challenges to urban analysis for supporting planning processes. This particularly applies large events because their characteristics often contradict daily routines. Due the availability amounts data, social media offer possibility fine-scale spatial and temporal in this context, especially regarding public emotions related varied topics. Thus, article proposes combined approach...
Population at risk of crime varies due to the characteristics a population as well generator and attractor places where is located. This establishes different opportunities for crimes. However, there are very few efforts modeling structures that derive spatiotemporal models allow accurate assessment exposure crime. study develops depict spatial distribution people who have heightened burglaries robberies. The data used in include: Census source existing population, Twitter geo-located data,...
Urban systems involve a multitude of closely intertwined components, which are more measurable than before due to new sensors, data collection, and spatio-temporal analysis methods. Turning these into knowledge facilitate planning efforts in addressing current challenges urban complex requires advanced interdisciplinary methods, such as informatics or science. Yet, by applying purely data-driven approach, it is too easy get lost the ‘forest’ data, miss ‘trees’ successful, livable cities that...
Crowd-based events, such as football matches, are considered generators of crime. Criminological research on the influence matches has consistently uncovered differences in spatial crime patterns, particularly areas around stadia. At same time, social media data mining shows a high volume created during events. This study seeks to build these two streams by exploring relationship between events and nearby Twitter activity stadium, estimating possible tweets for explaining presence or absence...
The use of social media data for the spatial analysis crime patterns during events has proven to be instructive. This study analyzes geography considering hockey game days, criminal behaviour, and Twitter activity. Specifically, we consider relationship between geolocated crime-related activity crime. We analyze six property types that are aggregated dissemination area base unit in Vancouver, two seasons through a non-game temporal resolution. Using same method, messages environmental...
Green spaces are beneficial for physical and mental health, especially during after disasters. The COVID-19 pandemic, however, created a trade-off: parks could be therapeutic but also expose people to infection. This paradox posed inequities as marginalized populations often have less access were hit harder by the pandemic. We combined cellphone-generated mobility data with demographic indicators, neighborhood survey, local infection rates examine how residents of Boston, MA, navigated this...
A pandemic, like other disasters, changes how systems work. In order to support research on the COVID-19 pandemic impacted dynamics of a single metropolitan area and communities therein, we developed made publicly available "data-support system" for city Boston. We actively gathered data from multiple administrative (e.g., 911 311 dispatches, building permits) internet sources Yelp, Craigslist), capturing aspects housing land use, crime disorder, commercial activity institutions. All were...
Research shows that public events can be violence attractors or generators. Recent studies focus on the effect of crowd spatial crime analysis, using environmental criminology theories as a background. Also, social media analyses show possible influences in movements. This study displays and correlates patterns crimes tweets around two stadiums Manchester, United Kingdom. Moreover, text analysis is used for extracting violent tweets. For this data are: aggregated monthly analyzed 2km...
On 22 April 2018, the authors were invited by Editor-in-Chief, Prof [...]
The traditional categorization of crime types relies on a hierarchical structure, from high-level categories to lower-level subtypes. This tree-based classification treats as mutually independent when they do not branch the same higher-level category, therefore lacking inter-category semantic relations. issue then extends over distribution analysis urban regions, often reporting statistics based type counts, but neglecting implicit relations between different categories. Our study aims fill...
Abstract Certain places generate inordinate amounts of crime and disorder. We examine how differ in their nature disorder, with three objectives: (1) identifying a typology profiles disorder; (2) assessing whether different forms disorder co-locate at parcels; (3) determining problematic parcels explain across neighborhoods. The study uses 911 311 records to quantify physical social violent residential Boston, MA ( n = 81,673). K-means cluster analyses identified the those types were...
In this paper we forecast hotspots of street crime in Portland, Oregon. Our approach uses geosocial media posts, which define the predictors geographically weighted regression (GWR) models. We use two that are both derived from Twitter data. The first one is population at risk being victim crime. second related tweets. These were used GWR to create models depict future hotspots. predicted enclosed more than 23% crimes 1% study area and also outperformed prediction efficiency a baseline...
Spatial crime analysis, together with perceived (crime) safety analysis have tremendously benefitted from Geographic Information Science (GISc) and the application of geospatial technology. This research study discusses a novel methodological approach to document use emerging technologies explore urban lenses fear or perception in city Baton Rouge, USA. The mixed techniques include survey, spatial video geonarrative (SVG) field participants, extraction moments stress (MOS) biosensing...
Abstract We combined survey, mobility, and infections data in greater Boston, MA to simulate the effects of racial disparities inclination become vaccinated on continued infection rates attainment herd immunity. The simulation projected marked inequities, with communities color experiencing 3 times higher than predominantly White reaching immunity 45 days later average. Persuasion individuals uncertain about vaccination was crucial preventing worst inequities but could only narrow them so...
Abstract In this research, the spatial video technology is applied to collection of soccer-related graffiti locations in city Krakow, Poland. Krakow predestined for research due long and often violent rivalry between fan groups two major soccer teams, MKS Cracovia Wisla Krakow. This form expressed by application fans from both clubs, which can be observed large parts city. Graffiti were digitized videos, stored a Geographic Information System (GIS), subsequently analyzed explore (1) overall...