This project investigates the spatial factors influencing violence patterns in contested urban environments. It explores whether there is a relationship between urban configurations and patterns of warfare or terrorism, with a focus on Paris and Mumbai, revealing insights into the interplay of integration, visibility, and landmark proximity in urban security dynamics.

Amid a global dementia epidemic and the absence of a definitive cure, creating supportive environments that promote physical and social activity is paramount for slowing disease progression. Moreover, inconsistencies and ofttimes subjective metrics persist in the evidence base behind dementia-sensitive design. This study, conducted in three long-term care facilities in Bavaria, Germany, employs ethnographic observations to investigate residents’ space use patterns. For the first time, the comprehensive suite of space syntax techniques is tested for assessing the behavior of people with dementia. Results suggest that spatial configuration (visual integration) can effectively explain movement patterns (r2≈.5-.6). Best correlations are found for wandering – despite potential somatosensory impairments. Purposeful behaviors are more conditioned by the institutional regime. Social activities are nuanced, influenced by care culture, persons involved, and cluster in the main common room (MCR). A novel computational tool, MCR Step Depth analysis, is introduced to illustrate the spatial dynamics of interactions. Comparative examination of special care units yields new insights – ample daylight and views appear as attractors to wandering, and strategic positioning of furniture may mitigate agitated behaviors. The research emphasises the efficacy of space syntax as a qualitative, evaluative tool for care home designs, providing practical recommendations for architects, and advancing the discourse on dementia-sensitive design, ultimately seeking to enhance the well-being and quality of life for people with dementia in long-term care settings.

Spatial morphological study of post-Soviet cities

Sketch mapping is a popular technique in spatial cognition research to collect information about an experimental participant

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London lost more than half of its queer night-time venues in the ten years leading up to 2017 (Campkin & Marshall, 2017) and in 2022, there is only one singular lesbian bar left (Allenby, 2022). It is in this context that an increasing interest in spatiality is being established within queer studies. Comparatively, in Space Syntax research, there still is a shortage of consideration of current gender and sexuality studies beyond hetero- and cis-normativity. This study researches the social and spatial paradoxes of queer space from the perspective of queer theory and Space Syntax theory respectively. The work is put in context of Greater London, with a slight focus on lesbian space. First, a definition of queer space is reached by recognizing queer space as a dynamic entity, enabling transgression and revolution alike while providing a space protected from fear and shame induced by social norms, encouraging unfiltered self-expression. Second, it is argued that Space Syntax analysis like angular integration or isovist studies could contribute to queer theory through quantitative methods and promises budding potential in this area, yet the quantitative analysis reveals that these methods so far are predisposed to portray space in a rather limiting logic requiring field specific advancement to adequately express the unique essence of queer space. Third, the novel framework queer theory provides for socio-spatial concepts like integration and visibility is investigated, affirming its value as an extension to “The Social Logic of Space“ (Hillier & Hanson 1984) by revealing a dyadic relationship of power in space. Demonstrated by examining queer space, this phenomenon is relevant to any association between human behaviour and the built environment. Due to the hitherto scarcity of research in this area, this work is positioned as a starting point of challenging norms and conventions by introducing queer theories to the realm of Space Syntax.

An Analytical Exploration of Beirut Digital District

This research explores how access to urban green spaces in London can constitute spatial inequities for different social groups.

This study evaluates the effectiveness of nightlight intensity, population density and spatial network analysis towards understanding rapid urban growth in Dar es Salaam, Tanzania between 1990 and 2020. This contributes towards solving the issue of data insufficiencies which often lie at the heart of problems associated with rapid urban growth. This research finds that many new insights can be drawn from analysis of open-source datasets, facilitating improved understanding of rapid urban growth, and offering a replicable, accessible methodology.

This dissertation analyses the founding principles and evolution of Chandigarh, India's first planned city since its establishment 75 years ago, contributing to the understanding of its spatial and socio-political aspects

The research presents a spatial transport simulation based on the spatial network and the viewer of public roads BPR congestion function as an implementation of transport modelling and quantifies the impact of changes in particular road attributes through blockages and widening.

House prices have long been considered to be closely related to the built environment of cities. The hedonic house price model is a well-known theoretical model that encompasses four dimensions: house structure attributes, location attributes, neighbourhood attributes and environmental attributes. In recent years, some scholars have used the urban morphology research tool space syntax instead of location attributes to study the built environment's impact on house prices at multiple scales. At the same time, subjective perception analysis of cities using street view images as a database has become a popular research trend in recent years and is considered to impact house prices. This study investigates the impact of subjective urban perceptions on house prices in combination with other objective urban elements at multiple scales of urban morphology. In particular, subjective urban perceptions were assessed through street images, where a perception survey based on 300 street images was conducted among the population, and the results were subsequently used to build a machine learning model to predict street perception scores for areas around house price points across Greater London. The integration and choice values analyse the multi-scale urban morphology in the space syntax, combined with a number of other functional variables, to create the hedonic house price model, which is then placed in the OLS regression model for analysis. The final results indicate that the impact of subjective perception on house prices is second only to location attributes and higher than neighbourhood attributes and house structure attributes. There is considerable differentiation in the impact at multiple scales of urban morphology. In the global analysis, subjective perceptions have a greater impact in the micro-scale urban morphology, which is higher than the location attributes, and a more negligible impact in the macro-scale urban morphology, which is lower than the location attributes, with 'enclosure' and 'sense of comfort' being more important than the other perception variables in influencing house prices. In the analysis of the four local areas, the study reveals that local urban form has a greater impact on house prices in the urban centres than in the city's peripheral areas, while the opposite trend is observed for the subjective perception variables.

A model based on space syntax is introduced in simulating the transmission of COVID-19 and quantifying the impact of non-pharmaceutical interventions.