A5001103578- Land Use and Ecosystem Services
- Urban Design and Spatial Analysis
- Remote Sensing and Land Use
- Cold Fusion and Nuclear Reactions
- Impact of Light on Environment and Health
- Urban Transport and Accessibility
- Automated Road and Building Extraction
- Complex Systems and Time Series Analysis
- Human Mobility and Location-Based Analysis
- Korean Urban and Social Studies
- Urban, Neighborhood, and Segregation Studies
- COVID-19 epidemiological studies
- Remote-Sensing Image Classification
- Radiomics and Machine Learning in Medical Imaging
- Blockchain Technology Applications and Security
- Scientific Computing and Data Management
- Paranormal Experiences and Beliefs
- Geological Modeling and Analysis
- Spatial and Panel Data Analysis
- Advanced Database Systems and Queries
- Advanced Measurement and Metrology Techniques
- Advanced Clustering Algorithms Research
- Complex Network Analysis Techniques
- Advanced Sensor Technologies Research
- Coastal and Marine Management
University of Liverpool
2020-2024
Charles University
2023-2024
University of Strathclyde
2019-2021
University of Southern California
2020
Southern California University for Professional Studies
2020
University of Bamberg
2019
Salisbury NHS Foundation Trust
2005-2008
Royal Society
2000
University of Utah
1990
Abstract Existing empirical work has focused on assessing the effectiveness of nonpharmaceutical interventions human mobility to contain spread COVID‐19. Less is known about ways in which COVID‐19 pandemic reshaped spatial patterns population movement within countries. Anecdotal evidence an urban exodus from large cities rural areas emerged during early phases across western societies. Yet, these claims have not been empirically assessed. Traditional data sources, such as censuses offer...
Urban morphology is the area of urban studies that explores physical form cities in space and way it changes time relation to agents such change (Kropf, 2017).The discipline based on analysis space, traditionally mostly visual qualitative (Dibble et al., 2015); its objects are fundamental elements (building, plot, street) (Moudon, 1997) as well a range analytical constructs axial maps (Ariza-Villaverde, Jiménez-Hornero, & Ravé, 2013) or proximity bands (Araldi Fusco, 2019).The increased...
Unprecedented urbanisation processes characterise the Great Acceleration, urging urban researchers to make sense of data analysis in support evidence-based and large-scale decision-making. Urban morphologists are no exception since impact form on fundamental natural social patterns (equity, prosperity resource consumption’s efficiency) is now fully acknowledged. However, morphology still far from offering a comprehensive reliable framework for quantitative analysis. Despite remarkable...
Earth Observation (EO)-based mapping of cities has great potential to detect patterns beyond the physical ones. However, EO combined with surge machine learning techniques map non-physical, such as socioeconomic, aspects directly, goes expense reproducibility and interpretability, hence scientific validity. In this paper, we suggest shifting focus from direct detection socioeconomic status raw images through image features, interpretable urban morphology basic elements an intermediate step,...
The recent growth of geographic data science (GDS) fuelled by increasingly available open and source tools has influenced urban sciences across a multitude fields. Yet there is limited application in morphology—a form. Although quantitative approaches to morphological research are finding momentum, existing for such analyses have scope predominantly implemented as plug‐ins standalone information system software. This inherently restricts transparency reproducibility research. Simultaneously,...
Cities are complex products of human culture, characterised by a startling diversity visible traits. Their form is constantly evolving, reflecting changing needs and local contingencies, manifested in space many urban patterns. Urban morphology laid the foundation for understanding such patterns, largely relying on qualitative research methods to extract distinct spatial identities areas. However, manual, labour-intensive subjective nature approaches represents an impediment development...
This paper presents the notion of spatial signatures as a characterisation space based on form and function designed to understand urban environments. The configuration dif-ferent components cities is relevant for at least two main reasons. On one hand, it encodes many aspects phenomena that created such an arrangement in first place. other, once place, this underpins outcomes, from economic productivity environmental sustainability. Our approach unfolds three stages. First, we propose new...
The spatial arrangement of the building blocks that make up cities matters to understand rules directing their dynamics. Our study outlines development national open-source classification space according its form and function into a single typology. We create bespoke granular unit, enclosed tessellation, measure characters capturing within relevant context. Using K-Means clustering individual tessellation cells, we generate for whole Great Britain. Contiguous cells belonging same class are...
The increased availability of high-resolution multispectral imagery captured by remote sensing platforms provides new opportunities for the characterisation and differentiation urban context. discovery generalized latent representations from such data are however under researched within social sciences. As such, this paper exploits advances in machine learning to implement a method capturing measures context satellite at very small area level through application convolutional autoencoder...
Existing empirical work has focused on assessing the effectiveness of non-pharmaceutical interventions human mobility to contain spread COVID-19. Less is known about ways in which COVID-19 pandemic reshaped spatial patterns population movement within countries. Anecdotal evidence an urban exodus from large cities rural areas emerged during early phases pan- demic across western societies. Yet, these claims have not been empirically assessed. Traditional data sources, such as censuses offer...
While interest in blockchain technology and applications increases, research studying the role of trust as an element that leads potential users consumers to adopt accept remains scarce. This study conducts acceptance expands beyond traditional models explores from user/consumer perspective. It provides comprehensive insights angle a deeper understanding adoption. Using inductive approach builds theory qualitative empirical data, this paper identifies critical benefit applications,...
M. Fleischmann, J. Pattison and H. R. Thirsk, Trans. Faraday Soc., 1965, 61, 1256 DOI: 10.1039/TF9656101256
Proliferation of Short Term Rental (STR) in cities has generated considerable debate as it was found associated with negative externalities, such gentrification. Nonetheless, signals urban qualities working attractors at different geographical scales. STRs’ relation form remains largely understudied. In this paper, we explore how relates to STRs registered by the Airbnb platform Amsterdam (NL). First, identify types (homogenous patterns form) through an ‘urban morphometric’ approach. Second,...
Street networks are ubiquitous components of cities, guiding their development and enabling movement from place to place; street also the critical many urban analytical methods. However, graph representation is often designed primarily for transportation purposes. This less suitable other use cases where need be simplified as a mandatory pre-processing step, e.g., in case morphological analysis, visual navigation, or drone flight routing. While urgent demand automated methods comes various...
Purpose The purpose of this paper is to investigate how professional football clubs from the English Premier League, German Bundesliga and Spanish Primera División use digital media expand their international reach in emerging markets (EFM) outside Europe. Based on EPRG framework Rugman’s home-region hypothesis, aim broaden perspective where “sports go global” for a further understanding actors’ orientation sphere. Design/methodology/approach study based data desk research qualitative...
Given a heterogeneous group of observations, researchers often try to find more homogenous groups within them.Typical is the use clustering algorithms determining these based on statistical similarity.While there an extensive range be chosen from, they share one specific limitation -the algorithm itself will not determine optimal number clusters observations shall divided into.The solution usually depending internal cluster validity measures, but those provide only limited insight and can...
The spatial distribution of activities and agents within cities, conceptualised as an urban function, profoundly affects how different areas are perceived lived. This dataset introduces the concept functional signatures - contiguous a similar function delineated based on enclosed tessellation cells (ETC) applies it to area Great Britain. ETCs granular units, which capture interpolations from open data inputs stretching remote sensing land use, census points interest data. extent each...
The impact of sea-level rise on coastal towns is expected to be a major challenge, with millions people exposed. climate-induced risk assessment areas subject flooding plays an essential role in planning effective measures for adaptation plans. However, European legislation, as well the regional plans adopted by member states, there no clear reference urban settlement, this concept variable and difficult categorise from policy perspective. This lack knowledge makes it complicated implement...
Existing empirical work has focused on assessing the effectiveness of non-pharmaceutical interventions human mobility to contain spread COVID-19. Less is known about ways in which COVID-19 pandemic reshaped spatial patterns population movement within countries. Anecdotal evidence an urban exodus from large cities rural areas emerged during early phases across western societies. Yet, these claims have not been empirically assessed. Traditional data sources, such as censuses offer coarse...
Studies on mobility inequalities have so far mostly relied Survey data or Censuses. While such studies demonstrated that strongly influence everyday choices, these sources lack granular information people’s movements a daily basis. By capitalising high spatio-temporal resolution provided by Spectus.ai, this study aims at investigating how the deprivation level of area where people live influences kinds urban environment they are more likely to use for their activities. To do this, raw GPS...