Studying street centrality and human density in different urban forms in Baghdad, Iraq

Al-Saaidy, Haider Jasim Essa; Alobaydi, Dhirgham

doi:10.1016/j.asej.2020.06.008

Cited by 35 publications

(17 citation statements)

References 27 publications

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“…Road sections with strong transfer capacity often have large traffic flow and are prone to traffic congestion. At the same time, residents are more inclined to choose straight roads with low time cost and high safety ( 58 ). Therefore, the impact of betweenness on the vitality of the catering industry was less significant than that of straightness.…”

Section: Resultsmentioning

confidence: 99%

Street centrality and vitality of a healthy catering industry: A case study of Jinan, China

Chen

Yin

Hou

2022

Front. Public Health

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In the context of an overall improvement in the national economy, residents' demand for nutrition and health has been increasing. An industry that provides healthy eating plays an increasingly important role in urban development. Few studies, however, have focused on the relationship between the urban road network structure and the vitality of the healthy catering industry (VHCI). Based on social media data and urban traffic network data, in this study, we explored the impact mechanism of street centrality on the VHCI through a case study of Jinan, China, using geographic detectors and multiscale geographically weighted regression (MGWR) methods. The results show the following: First, the vitality of the catering industry in the main urban area of Jinan has multicore spatial distribution characteristics, and the high-value areas of the vitality of the catering industry are highly matched with the main business districts in the city in space. Second, we found clear spatial differences in street centrality between the walking and driving modes. With an increase in the search radius, the trend of high-value areas closely gathering in the urban center became clearer. The distribution of betweenness was observed from sheet to grid, and the multicenter structure of straightness was more prominent. Third, differences in the residents' perception of the road network structure caused by different travel modes affected their choice of dining places. In the driving mode, betweenness and straightness had a greater impact on the vitality of the catering industry, and the effect of closeness in the walking mode was more obvious. Fourth, the influence of street centrality on the vitality of the healthy catering industry had obvious spatial heterogeneity. In the walking mode, the spatial heterogeneity of straightness was the strongest, followed by betweenness, and closeness was the weakest; in the driving mode, the spatial heterogeneity of closeness was the strongest, followed by straightness, and betweenness was the weakest. From the perspective of residents' travel, the results of this study revealed the influence mechanism of urban road network characteristics on the VHCI. This information can aid planning for urban space optimization and improve residential living quality.

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Section: Resultsmentioning

confidence: 99%

Street centrality and vitality of a healthy catering industry: A case study of Jinan, China

Chen

Yin

Hou

2022

Front. Public Health

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“…This model introduces the true distance of a traffic network into the model to reflect the centrality of a node by measuring the importance of the respective node in the whole network. Compared with space syntax, the multiple centrality assessment model adopted the metric distance, which made the calculation results more reliable and realistic [ 38 , 39 , 40 ]. With the advancement of computing tools and software, the results of the multiple centrality assessment model in various research fields have been continuously enriched.…”

Section: Introductionmentioning

confidence: 99%

Disparity and Spatial Heterogeneity of the Correlation between Street Centrality and Land Use Intensity in Jinan, China

Yin¹,

Liu²,

Chen³

et al. 2022

IJERPH

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In the existing literature on the correlation between street centrality and land use intensity (LUI), only a few studies have explored the disparity of this correlation for different types of LUI and the differences across various locations. In response to the above shortcomings, in this study, the main urban area of Jinan, China, was taken as an example, and the disparity and spatial heterogeneity of the correlation between street centrality and LUI were explored for different categories of land use. The multiple centrality assessment (MCA) model was used to calculate the closeness centrality, betweenness centrality, and straightness centrality of the traffic network. Based on the floor area ratio (FAR) of each parcel, the utilization intensities of the residential, industrial, commercial, and public service land uses were measured. Employing the kernel density estimation (KDE) method, the street centrality of the traffic network vis-à-vis the urban LUI was rasterized into the same spatial analysis framework. The Pearson correlation coefficient and geographically weighted regression (GWR) were used to measure the correlation between the two variables and the spatial heterogeneity of the correlation, respectively. The results showed that traffic network street centrality strongly correlated with the LUI of the residential, commercial, and public service land use types, but it had a very weak association with the LUI of industrial land use. The GWR results also confirmed the spatial heterogeneity of the correlation. The results of this research highlighted the important role of traffic network street centrality in understanding the urban spatial structure. The study also helped to explain the dynamic mechanism of the road network form and the topological structure of urban spatial evolution.

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“…Alonso's Bid Rent Model, setting Ricardo's residual value theory of land into an explicitly spatial context, has an abiding appeal as a powerful abstraction for understanding the spatial structure of land uses and their relations with the urban center. Many empirical studies have revealed the association of street centrality with population density [18], employment density [19], building density [20], the location of economic activities [21][22][23], and land use allocations [24][25][26][27][28][29]. This kind of research concentrates on commercial land use, and the logic behind it is that the more central the land, the more expensive the land; therefore, the land use density is higher near the urban center to balance the profit.…”

Section: Theoretical Foundation and Hypothesis Developmentmentioning

confidence: 99%

Built Environment and Physical Activity among Adults in Hong Kong: Role of Public Leisure Facilities and Street Centrality

Zhang

Huang

Wong

et al. 2022

Land

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Physical inactivity has been identified as the fourth leading risk factor for global mortality, and has been shown to be related to the built environment. To fill the literature gap from a non-Western setting, we examined: (1) the associations between the built environment and physical activity (PA) behaviors, (2) how the association of street centrality with PA is mediated by public leisure facilities, and (3) whether the association of the built environment with PA differs among people with different perceived PA barriers in Hong Kong. Cross-sectional survey data on 1977 adults were used. Exposure to the built environment was assessed in terms of the density of four types of public leisure facilities (gyms, parks, recreational facilities, and sports facilities) and street centrality. Street centrality was a composite index calculated by gathering four related indicators (reach, betweenness, straightness, and intersection density). Covariates, including socio-demographic variables, perceived neighborhood environment, and perceived PA barriers, were considered. Gym density was significantly associated with vigorous physical activity, but the association became non-significant after controlling for covariates. Sports facility density was associated with a greater probability of moderate physical activity (MPA) and was greater in those who had perceived PA barriers. Additionally, sports facilities partially mediated the association of street centrality with MPA, and fully mediated the association of street centrality with prolonged sitting. Higher park density was associated with lower odds of prolonged sitting. It is important for governments to provide more sports facilities and parks to promote active PA, and to reduce sitting time in adults by creating an active built environment.

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Studying street centrality and human density in different urban forms in Baghdad, Iraq

Cited by 35 publications

References 27 publications

Street centrality and vitality of a healthy catering industry: A case study of Jinan, China

Street centrality and vitality of a healthy catering industry: A case study of Jinan, China

Disparity and Spatial Heterogeneity of the Correlation between Street Centrality and Land Use Intensity in Jinan, China

Built Environment and Physical Activity among Adults in Hong Kong: Role of Public Leisure Facilities and Street Centrality

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