Introduction: Cities as Social and Spatial Networks

Ye, Xinyue; Liu, Xingjian

doi:10.1007/978-3-319-95351-9_1

Cited by 7 publications

(7 citation statements)

References 33 publications

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“…In addition, MSOAs were used to carry out the analysis in this research, and it might be helpful if a finer resolution geographical level, such as LSOAs, could be used in further research to examine spatial areas in greater detail (Cao & Hickman, 2018 ; Cuthill et al, 2019 ; Zhang et al, 2020 ). A nonlinear model could also be tested and applied (Xiao et al, 2021 ), together with advanced spatial methods to further explore urban patterns and dynamics (Gibbons et al, 2015 ; Ye & Liu, 2018 , 2019 ), in future research.…”

Section: Discussionmentioning

confidence: 99%

Development of a composite regional vulnerability index and its relationship with the impacts of the COVID-19 pandemic

et al. 2023

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The interactions between vulnerability and human activities have largely been regarded in terms of the level of risk they pose, both internally and externally, for certain groups of disadvantaged individuals and regions/areas. However, to date, very few studies have attempted to develop a comprehensive composite regional vulnerability index, in relation to travel, housing, and social deprivation, which can be used to measure vulnerability at an aggregated level in the social sciences. Therefore, this research aims to develop a composite regional vulnerability index with which to examine the combined issues of travel, housing and socio-economic vulnerability (THASV index). It also explores the index’s relationship with the impacts of the COVID-19 pandemic, reflecting both social and spatial inequality, using Greater London as a case study, with data analysed at the level of Middle Layer Super Output Areas (MSOAs). The findings show that most of the areas with high levels of composite vulnerability are distributed in Outer London, particularly in suburban areas. In addition, it is also found that there is a spatial correlation between the THASV index and the risk of COVID-19 deaths, which further exacerbates the potential implications of social deprivation and spatial inequality. Moreover, the results of the multiscale geographically weighted regression (MGWR) show that the travel and socio-economic indicators in a neighbouring district and the related vulnerability indices are strongly associated with the risk of dying from COVID-19. In terms of policy implications, the findings can be used to inform sustainable city planning and urban development strategies designed to resolve urban socio-spatial inequalities and the potential related impacts of COVID-19, as well as guiding future policy evaluation of urban structural patterns in relation to vulnerable areas.

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Section: Discussionmentioning

confidence: 99%

Development of a composite regional vulnerability index and its relationship with the impacts of the COVID-19 pandemic

et al. 2023

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“…City clusters are formed as a result of urban and regional development and are agglomerations of interconnected cities (Cumbers & MacKinnon, 2004). City networks are formed by space of flows and exist in both tangible (such as railways and flights) and intangible form (such as telecommunication, economy, and trade networks) (Ye & Liu, 2018). These networks can be established within city clusters but can also exist outside city clusters.…”

Section: Regional Economic Resilience and Network Structurementioning

confidence: 99%

The Economic Network Resilience of the Guanzhong Plain City Cluster, China: A network analysis from the evolutionary perspective

Qian

2021

Growth and Change

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This article applies the network analysis to evaluate the resilience of economic network in Guanzhong Plain City Cluster (GPCC) and examine the impact of network structural properties on economic resilience, thus providing an innovative research perspective and a theoretical framework for evaluating the economic resilience of the city cluster. A modified gravity model is introduced to construct the economic network. Three structural properties of the network, hierarchy, assortativity, and cohesion, are used to evaluate the resilience of the GPCC from 2008 to 2018 and illustrate the characteristics of the resilience. The results show that the economic network of the GPCC is strongly hierarchical with a growing trend, a declining disassortativity, and a weak cohesion. Although the network has formed a coreperipheral structure, its hierarchy and disassortativity would result in low resilience and high vulnerability, at the risk of external shocks to the GPCC. The impact of the network structure on economic resilience is analyzed by using a regression model, which verifies the validity of applying the network theory to resilience analysis. The results suggest that improving the interactions and economic connections between core and peripheral cities will strengthen the resilience of the GPCC.

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“…Spatial road networks provide the basis to study cities because of their inherent spatial and social character (Derudder & Neal, 2018; Luo et al, 2019; Ye & Liu, 2019). Studies by Bapierre et al (2015) and Cho et al (2011) have shown that human interaction from social networks induce travel movement, and that social network ties impact long‐distance travel considerably compared with short‐distance travel.…”

Section: Introductionmentioning

confidence: 99%

Characterising the structural pattern of urban road networks in Ghana using geometric and topological measures

Dumedah

Garsonu

2021

Geography and Environment

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This study characterized road networks using geometric and topological indicators for urban roads in Ghana which are characterized by informal and poor layout. Given the lack of adequate infrastructure for traffic monitoring in Ghana, the spatial distribution of betweeness centrality could be part of the critical resource to provide insight for traffic management. These findings provide the basis to inform transportation planning and management on critical issues, particularly, based on the spatial distribution of betweeness centrality it is possible to identify problematic locations within the road network which are most vulnerable to traffic congestion.

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Introduction: Cities as Social and Spatial Networks

Cited by 7 publications

References 33 publications

Development of a composite regional vulnerability index and its relationship with the impacts of the COVID-19 pandemic

Development of a composite regional vulnerability index and its relationship with the impacts of the COVID-19 pandemic

The Economic Network Resilience of the Guanzhong Plain City Cluster, China: A network analysis from the evolutionary perspective

Characterising the structural pattern of urban road networks in Ghana using geometric and topological measures

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