Characterizing Intercity Mobility Patterns for the Greater Bay Area in China

Yin, Yanzhong; Wu, Qunyong; Li, Mengmeng

doi:10.3390/ijgi12010005

Cited by 9 publications

(4 citation statements)

References 32 publications

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“…In the Nonnegative Matrix Factorization (NMF) , all the matrix elements are non-negative, which makes the algorithm highly interpretable and is conducive to the identification and understanding of traffic spatio-temporal patterns [10][11]. The calculation method is expressed as follows in [12]:…”

Section: Spatio-temporal Pattern Decomposition Methodsmentioning

confidence: 99%

Unravel the spatio-temporal pattern of Chinese holiday intercity travel and mobility network characteristics: take the "May Day" holiday as an example

Liu,

Zhi,

Wang

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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The extensive scale of holiday travel exerts a substantial influence on intercity transportation systems, the magnitude and spatio-temporal distribution of such travel hold pivotal significance in the realm of transportation planning. In this paper, we conducted an in-depth study of Baidu Migration data using Non-negative Matrix Factorization and complex network theory. We revealed the spatio-temporal patterns of intercity mobility during the 2023 May Day holiday in China and characterized the network features of intercity mobility under different patterns, in order to provide reliable decision support for inter-city traffic management measures. The results are demonstrated below: 1) NMF identified four distinct mobility patterns during the May Day holiday: the travel period pattern, the mid-journey mobility period pattern, return period pattern, and daily intercity commuting pattern. Different types of cities exhibit varying spatial characteristics in these patterns, with noticeable spatial symmetry observed in the travel period and return period patterns. 2) Utilizing complex network theory proves effective in measuring intercity mobile network characteristics. During the travel period, the population's travel focus shifts towards the central and western regions. However, during the return period and daily intercity commuting, the old first-tier cities and their surrounding cities regain central control. 3) Calculating various centrality indices facilitates the exploration of hub and gateway functions in intercity mobility. Provincial capitals often serve as hub cities, controlling passenger flow within their respective provinces. During holidays, there are special gateway cities that facilitate communication between different provinces, and in some cases, serve as gateways for both land and sea connections.

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Section: Spatio-temporal Pattern Decomposition Methodsmentioning

confidence: 99%

Unravel the spatio-temporal pattern of Chinese holiday intercity travel and mobility network characteristics: take the "May Day" holiday as an example

Liu,

Zhi,

Wang

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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“…With the development of the metro in Shenzhen metropolitan area, part of Huizhou is also able to directly reach the hinterland of Shenzhen. Therefore, settling in Huizhou near Shenzhen has also become the choice of many young people working in Shenzhen, and a large number of real estate developments have appeared in the border areas of Huizhou [45].…”

Section: Factors Affecting Urban Sprawl In the Administrative Districtsmentioning

confidence: 99%

Study on the Characteristics and Influencing Factors of Land Use Changes in the Metropolitan Fringe Area: The Case of Shenzhen Metropolitan Area in China

Deng,

Huang,

Chen

2023

Land

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With the development of the regional economy, the metropolitan area has gradually shifted from the rapid development stage of concentrating on the central city to the stage of coordinated and integrated regional development. This trend has brought new development opportunities to the metropolitan fringe area; however, due to the differences in resource endowment and the complex relationship between different levels of government, the metropolitan fringe area inevitably has contradictions and imbalances in economic and social development. There has been extensive research on land use and urban governance in the metropolitan area, but less attention has been paid to the metropolitan fringe area, and it is difficult to quantitatively characterize the complex interactions between various forces in this area. This paper summarizes the spatial pattern and spatiotemporal characteristics of construction land use in the fringe area of Shenzhen metropolitan area based on the 30 m resolution land cover dataset from 2000 to 2020, and analyzes the driving factors affecting the changes of construction land use through logistic regression. The results show that the overall land use in the study area is shifting from cropland and forest land to urban and rural construction land. With different stages of development, the rate of land change varies greatly from one period to another. Three factors, population density, lighting index and distance to highway, have a significant correlation with the changes in built-up land across the region, while the boundary effects of administrative boundaries show some variation in the impact of urban land expansion at different economic levels. Finally, we put forward that reducing the negative impact of administrative divisions on the integration of resources in different cities is important for realizing the synergistic development of the Shenzhen metropolitan area.

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“…As a result, a single indicator, often derived from attribute data, is typically used to differentiate the hierarchy of nodes [32]. Metrics such as weighted centrality [33], closeness centrality [34], and betweenness centrality [34] are commonly employed to measure the hierarchical structure of cities within networks. However, the strength of connections between nodes and the ability of nodes to control and interact with others are two significant aspects of network hierarchy [35].…”

Section: Introductionmentioning

confidence: 99%

The Spatial Structure and Driving Mechanisms of Multi-Source Networks in the Chengdu–Chongqing Economic Circle of China

Zhang,

Zuo,

et al. 2023

IJGI

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The phenomenon of polarized development among regional cities has sparked extensive contemplation and indicated a need for research on multi-source regional networks. However, such research faces two obstacles: the absence of quantitative measurement of differences in network structures and the lack of a thorough examination of the degree of city clustering and the dynamics of community composition in hierarchical networks. Thus, we identified 16 cities in the Chengdu–Chongqing Economic Circle (CCEC) as the spatial units to examine the spatial network structures of population, resources, and transportation and the integrated spatial network structure. Using social network analysis, this paper describes the structural characteristics of the three networks (population, resource, and transportation), followed by an analysis of their collective and hierarchical network clustering characteristics, and explores the driving mechanisms and factors that make up each network model. Our results show the following: (1) All three networks exhibit an “east dense, west sparse” characteristic, but there are differences in the layouts of the core cities in terms of the three networks. (2) The clustering characteristics of the hierarchical networks are more pronounced than those of the overall network. The results of the analysis combined with the network formation mechanisms can help effectively plan the future coordinated development of the CCEC.

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Characterizing Intercity Mobility Patterns for the Greater Bay Area in China

Cited by 9 publications

References 32 publications

Unravel the spatio-temporal pattern of Chinese holiday intercity travel and mobility network characteristics: take the "May Day" holiday as an example

Unravel the spatio-temporal pattern of Chinese holiday intercity travel and mobility network characteristics: take the "May Day" holiday as an example

Study on the Characteristics and Influencing Factors of Land Use Changes in the Metropolitan Fringe Area: The Case of Shenzhen Metropolitan Area in China

The Spatial Structure and Driving Mechanisms of Multi-Source Networks in the Chengdu–Chongqing Economic Circle of China

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