Urban design and cardio-metabolic risk factors.

Accumulating evidence suggests that the built environment may be associated with cardiovascular disease via its influence on health behaviours. The aim of this study was to estimate the associations between traditional and novel neighbourhood built environment metrics and clinically assessed cardio-metabolic risk factors among a sample of adults in Canada. A total of 7171 participants from Albertas Tomorrow Project living in Alberta, Canada, were included. Cardio-metabolic risk factors were clinically measured. Two composite built environment metrics of traditional walkability and space syntax walkability were calculated. Among men, space syntax walkability was negatively associated with systolic and diastolic blood pressure (b = -0.87, 95% CI -1.43, -0.31 and b = -0.45, 95% CI -0.86, -0.04, respectively). Space syntax walkability was also associated with lower odds of overweight/obese among women and men (OR = 0.93, 95% CI 0.87, 0.99 and OR = 0.88, 95% CI 0.79, 0.97, respectively). No significant associations were observed between traditional walkability and cardio-metabolic outcomes. This study showed that the novel built environment metric based on the space syntax theory was associated with some cardio-metabolic risk factors.

Assessing personal exposure to COVID-19 transmission in public indoor spaces based on fine-grained trajectory data: A simulation study.

The coronavirus disease 2019 (COVID-19) pandemic has posed substantial challenges to worldwide health systems in quick response to epidemics. The assessment of personal exposure to COVID-19 in enclosed spaces is critical to identifying potential infectees and preventing outbreaks. However, traditional contact tracing methods rely heavily on a manual interview, which is costly and time consuming given the large population involved. With advanced indoor localisation techniques, it is possible to collect people's footprints accurately by locating their smartphones. This study presents a new framework for the assessment of personal exposure to COVID-19 carriers using their fine-grained trajectory data. An integral model was established to quantify the exposure risk, in which the spatial and temporal decay effects are simultaneously considered when modelling the airborne transmission of COVID-19. Regarding the obstacle effect of the indoor layout on airborne transmission, a weight graph based on the space syntax technique was further introduced to constrain the transmission strength between subspaces that are less inter-visible. The proposed framework was demonstrated by a simulation study, in which external comparison and internal analysis were conducted to justify its validity and robustness in different scenarios. Our method is expected to promote the efficient identification of potential infectees and provide an extensible spatial-temporal model to simulate different control measures and examine their effectiveness in a built environment.

Examining the diffusion of coronavirus disease 2019 cases in a metropolis: a space syntax approach.

BACKGROUND: The urban built environment (BE) has been globally acknowledged as one of the main factors that affects the spread of infectious disease. However, the effect of the street network on coronavirus disease 2019 (COVID-19) incidence has been insufficiently studied. Severe acute respiratory syndrome coronavirus 2, which causes COVID-19, is far more transmissible than previous respiratory viruses, such as severe acute respiratory syndrome coronavirus, which highlights the role of the spatial configuration of street network in COVID-19 spread, as it is where humans have contact with each other, especially in high-density areas. To fill this research gap, this study utilized space syntax theory and investigated the effect of the urban BE on the spatial diffusion of COVID-19 cases in Hong Kong. METHOD: This study collected a comprehensive dataset including a total of 3815 confirmed cases and corresponding locations from January 18 to October 5, 2020. Based on the space syntax theory, six space syntax measures were selected as quantitative indicators for the urban BE. A linear regression model and Geographically Weighted Regression model were then applied to explore the underlying relationships between COVID-19 cases and the urban BE. In addition, we have further improved the performance of GWR model considering the spatial heterogeneity and scale effects by adopting an adaptive bandwidth. RESULT: Our results indicated a strong correlation between the geographical distribution of COVID-19 cases and the urban BE. Areas with higher integration (a measure of the cognitive complexity required for a pedestrians to reach a street) and betweenness centrality values (a measure of spatial network accessibility) tend to have more confirmed cases. Further, the Geographically Weighted Regression model with adaptive bandwidth achieved the best performance in predicting the spread of COVID-19 cases. CONCLUSION: In this study, we revealed a strong positive relationship between the spatial configuration of street network and the spread of COVID-19 cases. The topology, network accessibility, and centrality of an urban area were proven to be effective for use in predicting the spread of COVID-19. The findings of this study also shed light on the underlying mechanism of the spread of COVID-19, which shows significant spatial variation and scale effects. This study contributed to current literature investigating the spread of COVID-19 cases in a local scale from the space syntax perspective, which may be beneficial for epidemic and pandemic prevention.

Spatial dynamics of long-term urban retail decline in three transatlantic cities.

This paper studies the effects of the centrality, connectivity and agglomeration of retail establishments on their long-term viability in three cities in the United States, United Kingdom and The Netherlands. As retail is declining in all three markets, there is a dearth of knowledge on the spatial patterns of this decline. This obstructs the substantiation of development decisions and public policy on urban retail retention and growth. Without knowing where stores are most at risk of closing, where can we decide to invest or divest? This paper uses a self-built dataset of store locations and store closures over the span of more than a century in the urban cores of Detroit, Michigan; Birmingham, England; and The Hague, The Netherlands. While taking different paths, all three cities have experienced significant retail decline over the past century. The probability of store closure over time is compared to the metric distance of stores to the retail center of gravity (centrality), store location along well-used streets as measured by their Choice value (connectivity), and the number of surrounding stores (agglomeration). These three comparisons are statistically analyzed using simple line regression, panel regression, and spatial autoregressive probit models. Across these models, store closure is most significantly affected by agglomeration, then by centrality, followed by connectivity. The significance of all three measures is strongest in The Hague, followed by Birmingham and Detroit - two cities that experienced large-scale urban renewal and socio-economic decline.

Associations of neighbourhood walkability indices with weight gain.

BACKGROUND: Inconsistent associations of neighbourhood walkability with adults' body weight have been reported. Most studies examining the relationships of walkability and adiposity are cross-sectional in design. We examined the longitudinal relationships of two walkability indices - conventional walkability and space syntax walkability, and their individual components, with weight change among adults over four years. METHODS: Data were from the Physical Activity in Localities and Community study in Adelaide, Australia. In 2003-2004, 2650 adults living in 154 Census Collection Districts (CCDs) returned baseline questionnaires; in 2007-2008, the follow-up survey was completed by 1098. Participants reported their weight at baseline and at follow-up. Neighbourhood walkability indices were calculated using geographic information systems and space syntax software. Linear marginal models using generalized estimating equations with robust standard errors were fitted to examine associations of the two walkability indices and their individual components with the weight at follow-up, adjusting for baseline weight, socio-demographic variables, and spatial clustering at the level of CCD. RESULTS: The overall mean weight gain over four years was 1.5 kg. The two walkability indices were closely correlated (r = 0.76, p < 0.01). No significant associations were found between the overall neighbourhood walkability indices and weight change. Among walkability components, there was a marginally significant negative association between space syntax measure of street integration and weight change: one standard deviation increment in street integration was associated with 0.31 kg less weight gain (p = 0.09). CONCLUSIONS: Using a prospective study design and a novel space-syntax based measure of walkability, we were not able to identify relationships between neighbourhood walkability with weight gain. This is consistent with other inconclusive findings on the built environment and obesity. Research on the built environment and adults' weight gain may need to consider not just local environments but also a larger scale environment within a city or workplace environment in order to capture multiple behaviours relevant to weight gain.

The Association Between Apartment Layout and Depressive Symptomology among Hispanic/Latino Residents in Low-Income Housing: the AHOME Study.

In this study of low-income Hispanic/Latino adults living in 291 individual apartments in the Bronx, New York, the apartment layout was significantly associated with the odds of depressive symptomology. Women living in apartments in which the most central rooms were the living, dining, or kitchen (i.e., rooms commonly used for communal activities) were less likely to have depressive symptomology (OR = 0.44, 95% CI = 0.22-0.86) than women in apartments where the central rooms were lobbies or corridors, adjusting for demographics, health conditions, and housing and neighborhood characteristics. No statistically significant association was observed in men. We present the logic underlying the use of layout variables in this study and discuss the implications it may have for understanding the role of the home environment on psychological distress among inhabitants. The results of this study show how space syntax analysis can be used to better understanding disparities in the risk of depression and offer an additional opportunity for public health stakeholders to identify those most at risk for depression.

Walkability and walking for transport: characterizing the built environment using space syntax.

BACKGROUND: Neighborhood walkability has been shown to be associated with walking behavior. However, the availability of geographical data necessary to construct it remains a limitation. Building on the concept of space syntax, we propose an alternative walkability index, space syntax walkability (SSW). This study examined associations of the full walkability index and SSW with walking for transport (WT). METHODS: Data were collected in 2003-2004 from 2544 adults living in 154 Census Collection Districts (CCD) in Adelaide, Australia. Participants reported past week WT frequency. Full walkability (consisting of net residential density, intersection density, land use mix, and net retail area ratio) and SSW (consisting of gross population density and a space syntax measure of street integration) were calculated for each CCD using geographic information systems and space syntax software. Generalized linear models with negative binomial variance and logarithmic link functions were employed to examine the associations of each walkability index with WT frequency, adjusting for socio-demographic variables. RESULTS: Two walkability indices were closely correlated (ρ = 0.76, p < 0.01). The associations of full walkability and SSW with WT frequency were positive, with regression coefficients of 1.12 (95% CI: 1.08, 1.17) and 1.14 (95% CI: 1.10, 1.19), respectively. CONCLUSIONS: SSW employs readily-available geographic data, yet is comparable to full walkability in its association with WT. The concept and methods of space syntax provide a novel approach to further understanding how urban design influences walking behaviors.

Inpatient Corridor Visibility and Care Team Communication.

OBJECTIVE: This article aims to investigate the impact of fine-grained differences in unit layout on care staff corridor communication. BACKGROUND: Corridor design can be undertaken with greater emphasis on space and cost efficiency or with greater emphasis on affording quality knowledge workspace. Building on prior research on care team communication and inpatient unit design, this study aims to gain a better understanding of how corridor layout properties affect care team communication. METHOD: This study used space syntax analysis to characterize inpatient unit design, specifically floor-plan layout. Two approaches were used to capture care team communication: behavior mapping with recording of care team member locations and whether they were communicating and the HDR CARE Scale, Inpatient Version. The two units were part of a vertical tower expansion project, and, though constructed at separate times, they maintain the same organizational culture, floor plate, and location of key vertical elements. RESULTS: The newer unit was found to be more visually open using three measures from space syntax. More nursing staff verbal communication was observed on this unit. Across both units, nursing staff were more likely to be observed verbally communicating in locations that were more visually connected (i.e., at locations with larger viewsheds). There were no significant differences between nursing staff self-report on work using the HDR CARE Scale, Inpatient Version. CONCLUSION: We conclude that care team communication may tend to be encouraged by visual connectivity that can be promoted through floor-plan layout.

Exploring Campus Configuration and Patient Arrival Behaviors at Large Hospitals: An Integrated Post-Occupancy Evaluation (POE) Protocol.

BACKGROUND: This study addresses the challenges in hospital navigation, particularly focusing on the sequence of arrival experiences through foot traffic or driving within a medical campus. While previous research has emphasized wayfinding in interiors, this study recognizes the importance of transition from outdoor to indoor spaces in the hospital arrival zone. OBJECTIVES: Twofold research efforts include: (1) Exploring vehicular and pedestrian behaviors in a hospital arrival zone using Space Syntax Analyses (SSA), and (2) Validating the SSA results using empirical data collected from onsite observations and behavior mapping. METHODS: A series of axial map analyses were conducted on the hospital campus and building arrival zone regarding spatial connectivity and integration, depth of spaces, and wayfinding intelligibility based on vehicular and pedestrian movement paths. Systematic behavioral data collection includes vehicle shadowing (10 h) and pedestrian mapping (20 h) in the building arrival zone. RESULTS: Space Syntax Analyses indicates high intelligibility scores for vehicles (R = .91) and pedestrian (R = .78) circulation patterns; traffic situations were visualized via axial maps. A dataset of 219 vehicles and 2,096 pedestrian behaviors was analyzed and visualized using diagrams and heatmaps, identifying different occupancy patterns within the space. Correlational analyses indicated strong correlations between the results: connectivity and integration scores are significantly correlated with both vehicular and pedestrian traffic volumes. CONCLUSION: Preliminary findings of the study validated an integrated protocol to evaluate the impacts of campus configuration and building approach design on patient arrival and spatial navigation at large hospitals, serving as a POE protocol involving SSA.

Interior automobile seats: A syntactical and perceptual study.

This study investigated the seat layout of automobile interiors and its impact on the fluidity and privacy of interior space using spatial perception and space syntax research methods. The interior of an automobile is a typical "miniature" passenger space. First, to explore the perception characteristics of interior space fluidity and privacy across different seat configurations, we conducted a perception experiment on the interior space of seven automobile models with various seat layouts. The depth, connection, global integration degree, and standardized integration degree values were obtained using spatial syntax to perform topological calculations on the experimental automobile models. We conducted a correlation analysis in conjunction with the results of the perception experiment and the spatial syntax analysis. The calculation results of spatial syntax analysis are consistent with the experimental results of perception of automobile interior space layout on the fluidity and privacy. The different layout of automobile seats can affect people's perception on the fluidity and privacy of automobile interior space. At the same time, spatial syntax can provide an effective design analysis tool for the fluidity and privacy of automobile interior space.

Entropy and a sub-group of geometric measures of paths predict the navigability of an environment.

Despite extensive research on navigation, it remains unclear which features of an environment predict how difficult it will be to navigate. We analysed 478,170 trajectories from 10,626 participants who navigated 45 virtual environments in the research app-based game Sea Hero Quest. Virtual environments were designed to vary in a range of properties such as their layout, number of goals, visibility (varying fog) and map condition. We calculated 58 spatial measures grouped into four families: task-specific metrics, space syntax configurational metrics, space syntax geometric metrics, and general geometric metrics. We used Lasso, a variable selection method, to select the most predictive measures of navigation difficulty. Geometric features such as entropy, area of navigable space, number of rings and closeness centrality of path networks were among the most significant factors determining the navigational difficulty. By contrast a range of other measures did not predict difficulty, including measures of intelligibility. Unsurprisingly, other task-specific features (e.g. number of destinations) and fog also predicted navigation difficulty. These findings have implications for the study of spatial behaviour in ecological settings, as well as predicting human movements in different settings, such as complex buildings and transport networks and may aid the design of more navigable environments.

The Evaluation of Geographical Health Facilities Structure in Makassar City, Indonesia.

Cities across the world, during the last period, have been shocked by the outbreak of the COVID-19 pandemic. The world of planning has since persevered in providing a response, in terms of how to anticipate this outbreak in the future. Various kinds of concepts have been issued, with various views and points of view. However, one of the needs for this planning is an appropriate evaluation of the geographic structure of existing health facilities, in order to properly provide consideration for future urban planning. This study attempts to provide an integrated model of how to evaluate the geographic structure of health facilities with a case study in Makassar City, Indonesia. By combining big data and spatial analysis, it is expected that it will find patterns and directions for acceptable health facilities planning.

Contribution of Accessibility to Urban Resilience and Evacuation Planning Using Spatial Analysis.

Cities evolve and change with economic development and population growth, and urban planning laws in Taiwan have regulations that should be comprehensively reviewed every six years. Most current government policies aim to add new disaster prevention shelters or rescue stations. An economical way to improve the disaster prevention capabilities of urban planning is through examining or reviewing spatial structures and disaster prevention plans from the perspective of citizens or residents. The UN Office of Disaster Risk Reduction (UNDRR) launched the Making Cities Resilient Campaign policy to enhance disaster-resistant and sustainable urban environments through integrated disaster mitigation, reduction, response, and evacuation plans. This study used space syntax to ascertain evacuation route features using geometric distance analysis. There was 31.61% efficiency in relation to accessible roads on a comprehensive map. We could clearly see that since the areas in the first quadrant were relatively close to accessible roads, and there was an area that was not connected to the existing evacuation channels. The increased number of channels was more accessible and extensive. Such suggestions are helpful for government departments to prepare for disaster management. The spatial characteristics of the physical environment are explained by the accessibility and efficiency of axial maps and visibility analyzed by space syntax. Our findings reveal that space syntax is an important application when examining evacuation maps.

Exploration patterns shape cognitive map learning.

Spontaneous, volitional spatial exploration is crucial for building up a cognitive map of the environment. However, decades of research have primarily measured the fidelity of cognitive maps after discrete, controlled learning episodes. We know little about how cognitive maps are formed during naturalistic free exploration. Here, we investigated whether exploration trajectories predicted cognitive map accuracy, and how these patterns were shaped by environmental structure. In two experiments, participants freely explored a previously unfamiliar virtual environment. We related their exploration trajectories to a measure of how long they spent in areas with high global environmental connectivity (integration, as assessed by space syntax). In both experiments, we found that participants who spent more time on paths that offered opportunities for integration formed more accurate cognitive maps. Interestingly, we found no support for our pre-registered hypothesis that self-reported trait differences in navigation ability would mediate this relationship. Our findings suggest that exploration patterns predict cognitive map accuracy, even for people who self-report low ability, and highlight the importance of considering both environmental structure and individual variability in formal theory- and model-building.

Using Space Syntax Analysis to Measure Patient Aggression Risk.

OBJECTIVES: The present study investigates whether space syntax offers appropriate tools for identifying risks of aggression, interventional opportunities, and environmental design strategies to reduce the risk of Type II violence in emergency departments. BACKGROUND: Although healthcare workers are a relatively small percentage of the U.S. workforce, they sustain almost 75% of workplace assaults. Poor environmental design has been identified as an antecedent to aggression by patients and/or their companions. METHOD: Guided by Rational Choice Theory, Lifestyle Exposure Theory, Routine Activity Theory, and Crime Prevention through Environmental Design (CPTED), the study uses five visibility graph analysis (VGA) measures: visibility, control, controllability, mean visual depth, and occlusivity. Three U.S. hospital-based emergency departments were selected. First, a VGA was performed on all three layouts. A second VGA was performed after excluding unconnected spaces, and a third was performed on key patient and staff areas. Last, a fourth VGA was conducted after performing physical modifications to the three departments. RESULTS: Statistical analysis revealed significant differences in VGA measures not only between different layouts but also between the original and modified layouts. Specifically, small changes created by architectural features can affect visual access and exposure as measured by space syntax. Alcove-style spaces in key staff areas are also associated with limited visual control of the local environment. Typically, in smaller zones, central staff workstations afford better control of patient spaces. CONCLUSION: This study shows that space syntax analysis is a useful tool for identifying risks of aggression in hospital spaces and for identifying interventional opportunities.

Research on the Aging-Friendly Kitchen Based on Space Syntax Theory.

As a result of aging populations globally, a growing number of older adults prefer to age in place; therefore, it is essential to study the spatial adaptability of the house. This study aimed to explore the relationship between the efficiency of daily activities and the spatial layout of home kitchens in the elderly population, and to assess the moderating role of cognitive function. Twenty-one elderly participants completed the experiment, including non-cognitively impaired (n = 12) and cognitively impaired groups (n = 9). Their home kitchen space was partitioned in plan and elevation based on space syntax theory. They were required to complete three tasks (i.e., an easy task, a medium task, and a difficult task) in their respective kitchens. The relationship between the efficiency of different tasks' completion and the corresponding kitchen space attributes (integration, mean depth) was examined. The results showed a significant association between the home kitchen space layout of homebound older adults and their kitchen activity efficiency. In addition, a positive moderating effect of cognitive ability was found in the association between moderate and difficult tasks (p < 0.05), and its effect appeared to be stronger under challenging tasks (p < 0.01). The results of this study may help provide a basis for future design and optimization of aging-friendly residential spaces.

Socio-spatial vulnerability assessment of heritage buildings through using space syntax.

This research aims to assess vulnerable spaces around heritage buildings concerning their socio-spatial properties. Additionally, the research explores the predictive relationship between these properties and contextual anthropogenic hazards. The research's methodology relies on multi-methods applied to twenty-eight heritage buildings in historic Cairo, Egypt. Firstly, the research employed the Delphi technique and ICCROM-CCI-RCE method to assess the potential rates of contextual anthropogenic hazards in the study area. Afterwards, the literature review was conducted to explore a new paradigm for assessing vulnerable spaces using the space syntax-based methodology. Space syntax provides a better understanding of space, its structure, and how it affects human behaviour. Moreover, the research employed two main analytical methods of space syntax, axial graph, and visual graph analyses, which were achieved by "Depthmap 4" software to investigate the syntactic context of the study area. Furthermore, the exploratory factor analysis was employed to statistically analyse the syntactic output data to develop fewer factors of socio-spatial vulnerability. These factors served as inputs for multiple linear regression analysis as predictive models of the influence of socio-spatial vulnerability on the assessed contextual anthropogenic hazards. Finally, the resulting models highlighted the importance of investigating the socio-spatial properties around heritage buildings to predict human destructive behaviours based on quantitative analytical methods. Such results would help authorities formulate suitable and sustainable strategies for the adequate performance of heritage buildings. Also, the predictive models can potentially be used in other livable historic cities.

Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory.

Commercial block not only serves as a public space for the consumption, entertainment, and recreation of residents but also witnesses the history of urban commercial development. With the urban development and the improvement of people's living standards, most commercial blocks are faced with such problems as traffic congestion, simple commercial form, and unreasonable spatial layout. By taking the commercial block of Huaihe Commercial Pedestrian Street as an example and combining the axis and viewshed analysis method of space syntax theory, this article has analyzed the space and quantified the relevant data to analyze the spatial layout relationships of commercial blocks. As the outcomes, this article summarizes the strategies for optimizing the traffic space, scenic space, and commercial space of commercial blocks, hoping to facilitate the commercial block space layout optimization in the era of stock.

Perception of Spatial Legibility and Its Association with Human Mobility Patterns: An Empirical Assessment of the Historical Districts in Rasht, Iran.

Achieving legibility within the context of historical districts has become a controversial problem due to their widespread growth and unconventional constructions within, which has led to inconsistencies in the urban context system, and a decrease in the level of urban sociability. This paper aims to provide an empirical assessment towards facilitating the perception of spatial legibility and its association with human mobility patterns. To this end, a novel mix method was developed in order to comprehend the association between spatial legibility and human mobility patterns using Space Syntax, cognitive sketch maps, and time-lapse photography. The results revealed that there is a significant association between spatial legibility and human mobility patterns, such that the incorporation of objective and subjective factors affecting legibility, including highly integrated morphological characteristics along with the saliency of landmarks featuring historical values, can lead to increased human mobility patterns in terms of use frequency. Accordingly, this research aids urban planners and designers in recognizing how to deal with historical districts in order to foster the sociability of these areas and create a lively and socially sustainable urban environment.

Environmental Justice in Greater Los Angeles: Impacts of Spatial and Ethnic Factors on Residents' Socioeconomic and Health Status.

Environmental justice advocates that all people are protected from disproportionate impacts of environmental hazards. Despite this ideal aspiration, social and environmental inequalities exist throughout greater Los Angeles. Previous research has identified and mapped pollutant levels, demographic information, and the population's socioeconomic status and health issues. Nevertheless, the complex interrelationships between these factors remain unclear. To close this knowledge gap, we first measured the spatial centrality using sDNA software. These data were then integrated with other socioeconomic and health data collected from CalEnvironScreen, with census tract as the unit of analysis. Finally, structural equation modeling (SEM) was executed to explore direct, indirect, and total effects among variables. The results show that the White population tends to reside in the more segregated areas and lives closer to green space, contributing to higher housing stability, financial security, and more education attainment. In contrast, people of color, especially Latinx, experience the opposite of the environmental benefits. Spatial centrality exhibits a significant indirect effect on environmental justice by influencing ethnicity composition and pollution levels. Moreover, green space accessibility significantly influences environmental justice via pollution. These findings can assist decision-makers to create a more inclusive society and curtail social segregation for all individuals.