The effects of buildings' physical characteristics on urban network centrality

Amen, Mustafa Aziz

doi:10.1016/j.asej.2022.101765

Cited by 10 publications

(3 citation statements)

References 47 publications

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“…Clustering degree is closely linked to well-known urban form characteristics such as centrality and accessibility, which are critical for assessing urban infrastructure and service efficiency [6,103,120,121]. Another critical development indicator is the distribution of jobs and employment, which helps analyze residents' mobility patterns and choices [98].…”

Section: Multiple-scale Urban Form and Hierarchical Approachesmentioning

confidence: 99%

Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

Mabrouk,

Han,

Mahran

et al. 2024

Sustainability

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Despite the increasing number of flood studies, the interrelationships between urban form indices (UFIs) and flood resilience (FR) have received little attention and hold miscellaneous perspectives. Consequentially, this study identifies how UFIs at various spatial scales affect FR by synthesizing article findings and proposing insights for future research. Scientometric analysis has been used to analyze the gathered peer-reviewed articles from nine research engines without time restrictions. One hundred and eighteen relevant articles were included and thoroughly investigated using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Our findings indicate that divergent and dialectical perspectives about the efficacy of UFIs are due to multiple disciplines, methodologies, and different case study contexts. The included studies were classified according to urban scale as macro (citywide), meso (districts), micro (block), and multi-scalar analysis by 80.5%, 6.8%, 10.2%, and 2.4%, respectively. Furthermore, the included studies were categorized based on analysis type into realistic case studies, literature reviews, modeling, and hybrid analysis, with 74.6%, 7.6%, 14.4%, and 3.4%, respectively. At the macroscale, city density and spatial distribution degree have the most significant effect on FR. At the same time, mixed uses, connectivity, coverage ratio, block arrangements, and street characteristics are on the meso and micro scales. Further studies on the trade-offs and commonality between UFIs, FR, and overall urban resilience are required to shape climate-adaptive, sustainable communities.

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Section: Multiple-scale Urban Form and Hierarchical Approachesmentioning

confidence: 99%

Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

Mabrouk,

Han,

Mahran

et al. 2024

Sustainability

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“…2023) introduce methodologies applicable to large-scale urban networks (Boeing, 2019a;Porta et al, 2022;Arribas-Bel and Fleischmann, 2022;Fleischmann et al, 2022). Local studies, like those by Zhou andLin (2019 andAmen (2022) Local studies between 2017 and 2023 have concentrated on individual cities or regions, addressing issues like urban gentrification, street centrality, and spatial characteristics. In this connection, Amen and Nia (2020) explore impact centrality values on Erbil's gentrification, while Al-Saaidy and Alobaydi (2021b) analyze the influence of street configurations and human density on the urban form of Baghdad (Amen and Nia, 2020; Al-Saaidy and Alobaydi, 2021b) (Fig.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Impact of Reach Centralities on Urban Accessibility and Connectivity: Insights from Iraq

2023

ISVS

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Despite extensive research on spatial accessibility and connectivity, the specific role of reach centralities in differentiating areas with varying connectivity levels remains under-explored. In this context, this study examines the influence of reach centralities on the accessibility and connectivity of urban areas. It focuses on the Old Rusafa area in Baghdad, Iraq. Its aim is to determine if there is a correlation between reach centralities and the overall accessibility and connectivity of urban spaces.The study employs a case study analysis, spatial urban network analysis through software and geographic information system platforms.By incorporating reach centralities into the analysis and using a range of radii, extending from r:250 m to the entire area, the study produces a deeper understanding of the quality of the urban network, thereby highlighting the potential areas for development. The findings contribute significantly to datadriven decision-making in urban planning and design, advocating for the creation of urban environments that are not only more accessible but also intricately interconnected. This, in turn, promises to enhance the living standards of urban inhabitants.

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“…Agryzkov et al used geo-located data about buildings in the city of Murcia to provide a new model of centrality that represents a more accurate depiction of urban networks [37]. Similarly, Amen conducted research on establishing an urban centrality model based on buildings' physical characteristics and positions in the network of Erbil City [38]. While these efforts are noteworthy for incorporating physical entities into regional centrality analysis, they predominantly rely on facility data as a supplementary source to augment centrality measures rather than establishing a direct relationship between the centrality and distinctive urban facilities.…”

Section: Regional Centralitymentioning

confidence: 99%

Identifying Relationship between Regional Centrality and POI Facilities: A Case Study of Seoul Metropolitan Area

Lee,

Seo

2023

IJGI

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While understanding the dynamic urban network through the concept of regional centrality has provided various implications on the structure and hierarchy of cities, the macroscopic focus of previous studies has largely overlooked the small-scale physical and social urban entities in central places. Meanwhile, recent advances in real-time Point-of-Interest (POI) data have quickly replaced much of traditional urban facility data, emerging as a new representation of urban activities and demands. Therefore, this study proposes a method to identify the relationship between regional centrality and the distribution of POI facilities, particularly focused on the Seoul metropolitan area of South Korea. To this end, this study conducts a correlation analysis between regional centrality results derived from social network analysis and POI indices obtained from POI distribution analysis. The results indicate that a statistically significant relationship exists between regional centrality and the distribution of urban facilities, with a particularly strong correlation exhibited in specific POI categories. The results also demonstrate the effectiveness of the method in capturing disparities in the provision of facilities concerning growing commuting centers. The findings of the study provide pragmatic implications for prioritization and planning of facility development, as well as making informed decisions in real estate and facility investment.

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The effects of buildings' physical characteristics on urban network centrality

Cited by 10 publications

References 47 publications

Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

Impact of Reach Centralities on Urban Accessibility and Connectivity: Insights from Iraq

Identifying Relationship between Regional Centrality and POI Facilities: A Case Study of Seoul Metropolitan Area

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