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Identifying Urban Structure Based on Transit-Oriented Development
DOI:10.3390/su11247241.png)
摘要
En 中文
The fast development of urbanization has led to imbalances in cities, causing congestion, pollution, and urban sprawl. In response to the growing concern over the distribution of demand and supply, a more coordinated urban structure is addressed in comprehensive planning processes. In this study, we attempt to identify urban structure using a Network-Activity-Human model under the Transit-Oriented Development (TOD) concept, since TOD is usually regarded as an urban spatial planning tool. In order to explore the strengths and weaknesses of the urban structure, we define the TOD index and unbalance degree and then classify the urban areas accordingly. We take the city of Beijing as a case study and identify nine urban types. The results show a hierarchical urban structure: the city center covers most of the hotspots which display higher imbalances, the surroundings of the city center are less developed, and the city edges show higher potentials in both exploitation and transportation development. Moreover, we discuss the extent to which the spatial scale influences the unbalance degree and apply a sensitivity analysis based on the goals of different stakeholders. This methodology could be utilized at any study scale and in any situation, and the results could offer suggestions for more accurate urban planning, strengthening the relationship between TOD and spatial organization.
Keyword:
TOD
imbalance
urban structure
transportation network
activity
human
AI总结
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期刊
IF:
3.3
论文数:
10.6W
被引数:
28.4W
机构
引用论文
Study on the Performance Characteristics of Centrifugal Pump with Drag-reducing Surfactant Additives
An integrated model of urban spatial structure: Insights from the distribution of floor area ratio in a Chinese city城市空间结构的综合模型: 来自中国城市容积率分布的启示
APPLIED GEOGRAPHY
IF5.4
Meso-Scale Urban Form Elements for Bus Transit-Oriented Development: Evidence from Seoul, Republic of Korea面向公交发展的中尺度城市形态要素: 来自大韩民国首尔的证据
SUSTAINABILITY
IF3.3

