Quantitative Analysis of Urban Spatial Morphology Based on GIS Regionalization and Spatial Syntax

Chen, Xi; Liu, Xuebin

doi:10.1007/s12524-021-01439-x

Cited by 10 publications

(8 citation statements)

References 33 publications

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“…Jiang et al [27] and Tao et al [28] applied the spatial syntax method to the study of traffic flow forecasting on the basis of the topological structure of the street. In recent years, the rapid development of GIS technology has combined spatial syntax with GIS technology [29], which provides a stronger operability of spatial syntax in dealing with urban traffic problems [30].…”

Section: Literature Reviewmentioning

confidence: 99%

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Modelling the Coupling Relationship between Urban Road Spatial Structure and Traffic Flow

et al. 2023

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In order to promote the sustainable development of urban traffic systems, improve the accuracy of traffic system analysis in the urban planning stage and reduce the possibility of traffic congestion in the operation stage of road networks, the coupling relationship and evolution mechanism between urban road spatial structure and traffic flow were studied, and a model of the relationship between the metrics was established in this study based on real road network and traffic flow data. First, the road spatial structure model of the study area was established from the perspective of road space, and the spatial syntax method was applied to verify the rationality of the spatial structure of the road network. Secondly, the initial OD matrix was determined by OD backpropagation based on the measured traffic flow data. Thirdly, the coupling rule between the spatial structure and the traffic flow of the road network was explored by loading the increment in the OD matrix to the initial OD matrix step by step based on a simulation experiment. Finally, the relationship between the degree of integration of the spatial syntactic feature parameter and the saturation of the traffic flow feature parameter was modelled on the basis of experimental results and verified by an example. This research shows that the spatial structure of urban roads has a significant impact on the characterisation of the traffic flow distribution of road networks, and a strong correlation can be found between the integration degree and saturation degree. An optimal fit, which can be used as a reference for the design of road spatial structure, was explored in this research.

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Section: Literature Reviewmentioning

confidence: 99%

“…When analysing intelligence, the local integration degree is usually calculated by taking the value of S in Equation (1) as 3, that is, each node reaches the node with the farthest distance of three steps from its own topology. The calculation formula for integration [29] is presented as…”

Section: Morphological Variables Of Spatial Syntaxmentioning

confidence: 99%

Modelling the Coupling Relationship between Urban Road Spatial Structure and Traffic Flow

et al. 2023

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“…Space is a highly developed system, particularly in urban and suburban areas. Hence, one has to process diverse datasets to analyse it (Chen & Liu, 2022). GIS can capture and analyse physical, social and economic data concerning regions (Fotheringham & Rogerson, 2013).…”

Section: Gis For Urban Planning and Urban Green Spaces Monitoringmentioning

confidence: 99%

Urban Green Spaces: how geospatial information can help identify diversity. A case study from eastern Lesser Poland

Cegielska¹,

Piotr²,

Kukulska‐Kozieł

2022

BGSS

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Progressing globalisation and suburbanisation are driving dynamic changes in land management, particularly in suburban zones. Green infrastructure and its impact on human quality of life are playing an increasingly important role in appropriate spatial management, because of human activities that are changing the natural environment. Therefore, monitoring and assessing the proportion of green spaces is essential for environmental, urban and social balance. The purpose of the study is to develop a method for measuring and monitoring the diversity of land cover classes, including green spaces as representatives of natural land cover classes. The proposed method describes the current state of land in quantitative and qualitative terms based on spatial data on land cover. The study employs Shannon’s Diversity Index (SHDI) to empirically investigate land cover homogeneity. The intensity of the phenomenon was visualised in space using statistical hot spot analysis. The case study involves two cities in eastern Lesser Poland and districts adjacent to them. The results have demonstrated that the investigated areas have a highly heterogenic land cover. Basic assessment fields have exhibited homogeneity only towards large, green, agricultural, environmentally valuable and, often, protected areas. The results concerning urban green spaces comprise a set of data that constitute a valuable source of information to aid the development of informed urban-planning solutions under the sustainable development paradigm.

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“…Spatial analysis and visual expression research based on GIS have been widely used in various research fields [70][71][72][73][74][75]. This study introduces geography into the theoretical study of intangible cultural heritage, which is of great significance to enrich the theoretical research of intangible cultural heritage.…”

Section: Theoretical and Practical Implicationsmentioning

confidence: 99%

Temporal and spatial patterns and influencing factors of intangible cultural heritage: Ancient Qin-Shu roads, Western China

2022

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The ancient Qin-Shu roads corridor is one of the important cultural main corridors in China. Throughout China’s long historical and cultural evolution, today’s ancestors created a rich intangible cultural heritage along this route. Studying its intangible cultural heritage has important theoretical and practical significance for the protection and innovation of cultural heritage in this region. The purpose of this study is to analyze the spatial and temporal distribution characteristics of intangible cultural heritage along the ancient Qin-Shu roads and explore the main factors affecting its distribution. The nearest neighbor index, kernel density estimation, standard deviation ellipse, location entropy, buffer analysis and other methods were used. The results show that (1) The types of intangible cultural heritage of the ancient Qin-Shu roads are expressed in three echelons. Traditional handicrafts are the most numerous, folk custom and traditional music are the second most numerous, the other categories of ICH are third in quantity overall, among which traditional medicine and sports recreation competition are the scarcest. (2) The overall spatial distribution of intangible cultural heritage along the ancient Qin-Shu roads shows an agglomeration distribution. Its distribution pattern places the central cities (Xi'an, Chengdu and Chongqing) at the core, gradually spreading out and decreasing in density as it reaches peripheral districts and counties. There are significantly differ in the core areas of different types of intangible cultural heritage. (3) In the process of historical development, the intangible cultural heritage of the ancient Qin-Shu roads demonstrated an overall change pattern of “three rising and three falling”. That is, during Qin and Han Dynasties, Sui, Tang and Five Dynasties, and Ming and Qing Dynasties, culture flourished, while in Wei, Jin, Southern and Northern Dynasties, Song and Yuan Dynasties, modern times culture developed slowly. The overall trajectory of the center of gravity of intangible cultural heritage shifted from the northeast to the southwest. (4) Natural and human factors, such as topography, climate, transportation, traditional villages and population evolution, have an important impact on the spatial pattern of the intangible cultural heritage of the ancient Qin-Shu roads. The results of this study provide a useful reference for the theoretical research and practical management of intangible cultural heritage.

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Quantitative Analysis of Urban Spatial Morphology Based on GIS Regionalization and Spatial Syntax

Cited by 10 publications

References 33 publications

Modelling the Coupling Relationship between Urban Road Spatial Structure and Traffic Flow

Modelling the Coupling Relationship between Urban Road Spatial Structure and Traffic Flow

Urban Green Spaces: how geospatial information can help identify diversity. A case study from eastern Lesser Poland

Temporal and spatial patterns and influencing factors of intangible cultural heritage: Ancient Qin-Shu roads, Western China

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